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1

W-Band ARM Cloud Radar - Specifications and Design  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

W-Band ARM Cloud Radar - Specifications and Design W-Band ARM Cloud Radar - Specifications and Design K. B. Widener Pacific Northwest National Laboratory Richland, Washington J. B. Mead ProSensing, Inc. Amherst, Massachusetts Abstract The Atmospheric Radiation Measurement (ARM) Program and ProSensing, Inc. have teamed to develop and deploy the W-band ARM Cloud Radar (WACR) at the SGP central facility. The WACR will be co- located with the ARM millimeter wave cloud radar (MMCR) with planned operation to begin in early 2005. This radar will complement the measurements of the MMCR and will aid in filtering out insect contamination in the data. In this poster we present the design goals, expected performance characteristics, and the detailed design for the WACR. Introduction The MMCR has been operating at the Southern Great Plains (SGP) site since 1998. It has proven to be

2

First Observations of Tracking Clouds Using Scanning ARM Cloud Radars  

Science Journals Connector (OSTI)

Tracking clouds using scanning cloud radars can help to document the temporal evolution of cloud properties well before large-drop formation (weather radar first echo). These measurements also complement cloud and precipitation tracking using ...

Paloma Borque; Pavlos Kollias; Scott Giangrande

2014-12-01T23:59:59.000Z

3

W-band ARM Cloud Radar (WACR) Update and Status  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

W-band ARM Cloud Radar (WACR) Update and Status W-band ARM Cloud Radar (WACR) Update and Status PopStefanija, Ivan ProSensing, Inc. Mead, James ProSensing Inc. Widener, Kevin Pacific Northwest National Laboratory Category: Instruments Two W-band ARM Cloud Radars (WACR) have been developed for the SGP and the ARM Mobile Facility (AMF) by ProSensing. The SGP WACR was successfully deployed in the same shelter as the MMCR in 2005. It is currently collecting co-polarization and cross-polarization spectral moments (reflectivity, Doppler velocity, and spectral width) along with spectra data. The AMF WACR will be deployed with the AMF in Niamey, Niger early in 2006. We will present ingested WACR data formats available from the ARM Archive, a selected comparisons of WACR and MMCR data at SGP, and data from

4

W-band ARM Cloud Radar (WACR) Handbook  

SciTech Connect (OSTI)

The W-band Atmospheric Radiation Measurement (ARM) Program Cloud Radar (WACR) systems are zenith pointing Doppler radars that probe the extent and composition of clouds at 95.04 GHz. The main purpose of this radar is to determine cloud boundaries (e.g., cloud bottoms and tops). This radar reports estimates for the first three spectra moments for each range gate up to 15 km. The 0th moment is reflectivity, the 1st moment is radial velocity, and the 2nd moment is spectral width. Also available are the raw spectra files. Unlike the millimeter wavelength cloud radar (MMCR), the WACR does not use pulse coding and operates in only copolarization and cross-polarization modes.

Widener, KB; Johnson, K

2005-01-05T23:59:59.000Z

5

Scanning ARM Cloud Radars Part I: Operational Sampling Strategies  

SciTech Connect (OSTI)

Probing clouds in three-dimensions has never been done with scanning millimeter-wavelength (cloud) radars in a continuous operating environment. The acquisition of scanning cloud radars by the Atmospheric Radiation Measurement (ARM) program and research institutions around the world generate the need for developing operational scan strategies for cloud radars. Here, the first generation of sampling strategies for the Scanning ARM Cloud Radars (SACRs) is discussed. These scan strategies are designed to address the scientific objectives of the ARM program, however, they introduce an initial framework for operational scanning cloud radars. While the weather community uses scan strategies that are based on a sequence of scans at constant elevations, the SACRs scan strategies are based on a sequence of scans at constant azimuth. This is attributed to the cloud properties that are vastly different for rain and snow shafts that are the primary target of precipitation radars. A cloud surveillance scan strategy is introduced (HS-RHI) based on a sequence of horizon-to-horizon Range Height Indicator (RHI) scans that sample the hemispherical sky (HS). The HS-RHI scan strategy is repeated every 30 min to provide a static view of the cloud conditions around the SACR location. Between HS-RHI scan strategies other scan strategies are introduced depending on the cloud conditions. The SACRs are pointing vertically in the case of measurable precipitation at the ground. The radar reflectivities are corrected for water vapor attenuation and non-meteorological detection are removed. A hydrometeor detection mask is introduced based on the difference of cloud and noise statistics is discussed.

Kollias, Pavlos; Bharadwaj, Nitin; Widener, Kevin B.; Jo, Ieng; Johnson, Karen

2014-03-01T23:59:59.000Z

6

ARM - Publications: Science Team Meeting Documents: W-Band ARM Cloud Radar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

W-Band ARM Cloud Radar System W-Band ARM Cloud Radar System Mead, James ProSensing Inc. Widener, Kevin Pacific Northwest National Laboratory The W-Band ARM Cloud Radar (WACR) is a dual polarization 95 GHz radar that will be deployed at the SGP CART site in the spring of 2005. The WACR system will be installed in the existing MMCR shelter, and will provide continuous zenith pointing measurements of clouds to compliment measurements provided by MMCR. Built by ProSensing Inc. of Amherst, MA, the WACR system include a high peak power (1.5 kW) EIKA transmitter, low noise receiver, and PC-based digital receiver. In addition to an internal calibration procedure, an electronically controlled deflector plate mounted on the roof of the MMCR shelter will be used to periodically illuminate a

7

ARM - Field Campaign - DC-8 Cloud Radar Campaign  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

the JPLUMass 95 GHz Airborne Cloud Radar (ACR) and a nadir pointing PRT-5 IR thermometer. Ground based millimeter-wave cloud radars operating at 33 GHz, 95 GHz, 94 GHz and...

8

ARM: W-Band Scanning ARM Cloud Radar (W-SACR) Hemispherical Sky RHI Scans (6 horizon-to-horizon scans at 30-degree azimuth intervals)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

W-Band Scanning ARM Cloud Radar (W-SACR) Hemispherical Sky RHI Scans (6 horizon-to-horizon scans at 30-degree azimuth intervals)

Widener, Kevin; Nelson, Dan; Bharadwaj, Nitin; Lindenmaier, Iosif [Andrei; Johnson, Karen

9

ARM: Ka-Band Scanning ARM Cloud Radar (KASACR) Hemispherical Sky RHI Scan (6 horizon-to-horizon scans at 30-degree azimuth intervals)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Ka-Band Scanning ARM Cloud Radar (KASACR) Hemispherical Sky RHI Scan (6 horizon-to-horizon scans at 30-degree azimuth intervals)

Bharadwaj, Nitin; Widener, Kevin

10

ARM: X-Band Scanning ARM Cloud Radar (XSACR) Hemispherical Sky RHI Scans (6 horizon-to-horizon scans at 30-degree azimuth intervals)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

X-Band Scanning ARM Cloud Radar (XSACR) Hemispherical Sky RHI Scans (6 horizon-to-horizon scans at 30-degree azimuth intervals)

Widener, Kevin; Nelson, Dan; Bharadwaj, Nitin; Lindenmaier, Iosif [Andrei; Johnson, Karen

11

ARRA-funded Cloud Radar Development for the Department of Energy's ARM Climate Research Facility  

E-Print Network [OSTI]

Measurement (ARM) Climate Research Facility, a DOE scientific user facility, for fundamental research, the DOE's Pacific Northwest National Laboratory recently funded ProSensing Inc. of Amherst, Mass. to build Flight Center to build a scanning cloud radar based on the DOE-funded design. We are also competing

12

ARM - Measurement - Radar polarization  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

polarization polarization ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Radar polarization The temporal and geometric behavior of the electric field vector of an electromagnetic wave transmitted or received by a radar system, e.g. elliptical polarization, differential reflectivity, phase shift, co-polar correlation coefficient, linear depolarization ratio. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments CSAPR : C-Band ARM Precipitation Radar

13

Cloud Effects on Radiative Heating Rate Profiles over Darwin using ARM and A-train Radar/Lidar Observations  

SciTech Connect (OSTI)

Observations of clouds from the ground-based U.S. Department of Energy Atmospheric Radiation Measurement program (ARM) and satellite-based A-train are used to compute cloud radiative forcing profiles over the ARM Darwin, Australia site. Cloud properties are obtained from both radar (the ARM Millimeter Cloud Radar (MMCR) and the CloudSat satellite in the A-train) and lidar (the ARM Micropulse lidar (MPL) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite in the A-train) observations. Cloud microphysical properties are taken from combined radar and lidar retrievals for ice clouds and radar only or lidar only retrievals for liquid clouds. Large, statistically significant differences of up to 1.43 K/day exist between the mean ARM and A-train net cloud radiative forcing profiles. The majority of the difference in cloud radiative forcing profiles is shown to be due to a large difference in the cloud fraction above 12 km. Above this altitude the A-train cloud fraction is significantly larger because more clouds are detected by CALIPSO than by the ground-based MPL. It is shown that the MPL is unable to observe as many high clouds as CALIPSO due to being more frequently attenuated and a poorer sensitivity even in otherwise clear-sky conditions. After accounting for cloud fraction differences and instrument sampling differences due to viewing platform we determined that differences in cloud radiative forcing due to the retrieved ice cloud properties is relatively small. This study demonstrates that A-train observations are better suited for the calculation cloud radiative forcing profiles. In addition, we find that it is necessary to supplement CloudSat with CALIPSO observations to obtain accurate cloud radiative forcing profiles since a large portion of clouds at Darwin are detected by CALIPSO only.

Thorsen, Tyler J.; Fu, Qiang; Comstock, Jennifer M.

2013-06-11T23:59:59.000Z

14

Scanning ARM Cloud Radars Part II: Data Quality Control and Processing  

SciTech Connect (OSTI)

The Scanning ARM Cloud Radars (SACRs) are the primary instruments for documenting the four-dimensional structure and evolution of clouds within a 20-30 km radius from the ARM fixed and mobile sites. Here, the post-processing of the calibrated SACR measurements is discussed. First, a feature mask algorithm that objectively determines the presence of significant radar returns is described. The feature mask algorithm is based on the statistical properties of radar receiver noise. It accounts for atmospheric emission and is applicable even for SACR profiles with few or no signal-free range gates. Using the nearest-in-time atmospheric sounding, the SACR radar reflectivities are corrected for gaseous attenuation (water vapor and oxygen) using a line-by-line absorption model. Despite having a high pulse repetition frequency, the SACR has a narrow Nyquist velocity limit and thus Doppler velocity folding is commonly observed. An unfolding algorithm that makes use of a first guess for the true Doppler velocity using horizontal wind measurements from the nearest sounding is described. The retrieval of the horizontal wind profile from the Hemispherical Sky Range Height Indicator SACR scan observations and/or nearest sounding is described. The retrieved horizontal wind profile can be used to adaptively configure SACR scan strategies that depend on wind direction. Several remaining challenges are discussed, including the removal of insect and second-trip echoes. The described algorithms significantly enhance SACR data quality and constitute an important step towards the utilization of SACR measurements for cloud research.

Kollias, Pavlos; Jo, Ieng; Borque, Paloma; Tatarevic, Aleksandra; Lamer, Katia; Bharadwaj, Nitin; Widener, Kevin B.; Johnson, Karen; Clothiaux, Eugene E.

2014-03-01T23:59:59.000Z

15

Observing Warm Clouds in 3D Using ARM Scanning Cloud  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Observing Warm Clouds in 3D Using ARM Scanning Cloud Radars and a Novel Ensemble Method For original submission and image(s), see ARM Research Highlights http:www.arm.gov...

16

ARM - Radar Backgrounder  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance Radar Backgrounder ARM Scanning...

17

A Comparison of ARM Cloud Radar Profiles with MMF Simulated Radar...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

MMF Simulated Radar Profiles as a Function of the Large-Scale Atmospheric State Roger Marchand and Thomas Ackerman Joint Institute for the Study of the Atmosphere and Ocean...

18

ARM - Field Campaign - Biogenic Aerosols - Effects on Clouds...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Data HTDMA Humidified Tandem Differential Mobility Analyzer Browse Data IRT Infrared Thermometer Browse Data KASACR Ka-Band Scanning ARM Cloud Radar Browse Data KAZR Ka ARM Zenith...

19

Merging Cloud and Precipitation Radar Data Provides a Better  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Merging Cloud and Precipitation Radar Data Provides a Better View of Tropical Rain Clouds For original submission and image(s), see ARM Research Highlights http:www.arm.gov...

20

Determination of Large-Scale Cloud Ice Water Concentration by Combining Surface Radar and Satellite Data in Support of ARM SCM Activities  

SciTech Connect (OSTI)

Single-column modeling (SCM) is one of the key elements of Atmospheric Radiation Measurement (ARM) research initiatives for the development and testing of various physical parameterizations to be used in general circulation models (GCMs). The data required for use with an SCM include observed vertical profiles of temperature, water vapor, and condensed water, as well as the large-scale vertical motion and tendencies of temperature, water vapor, and condensed water due to horizontal advection. Surface-based measurements operated at ARM sites and upper-air sounding networks supply most of the required variables for model inputs, but do not provide the horizontal advection term of condensed water. Since surface cloud radar and microwave radiometer observations at ARM sites are single-point measurements, they can provide the amount of condensed water at the location of observation sites, but not a horizontal distribution of condensed water contents. Consequently, observational data for the large-scale advection tendencies of condensed water have not been available to the ARM cloud modeling community based on surface observations alone. This lack of advection data of water condensate could cause large uncertainties in SCM simulations. Additionally, to evaluate GCMsâ?? cloud physical parameterization, we need to compare GCM results with observed cloud water amounts over a scale that is large enough to be comparable to what a GCM grid represents. To this end, the point-measurements at ARM surface sites are again not adequate. Therefore, cloud water observations over a large area are needed. The main goal of this project is to retrieve ice water contents over an area of 10 x 10 deg. surrounding the ARM sites by combining surface and satellite observations. Built on the progress made during previous ARM research, we have conducted the retrievals of 3-dimensional ice water content by combining surface radar/radiometer and satellite measurements, and have produced 3-D cloud ice water contents in support of cloud modeling activities. The approach of the study is to expand a (surface) point measurement to an (satellite) area measurement. That is, the study takes the advantage of the high quality cloud measurements (particularly cloud radar and microwave radiometer measurements) at the point of the ARM sites. We use the cloud ice water characteristics derived from the point measurement to guide/constrain a satellite retrieval algorithm, then use the satellite algorithm to derive the 3-D cloud ice water distributions within an 10?° (latitude) x 10?° (longitude) area. During the research period, we have developed, validated and improved our cloud ice water retrievals, and have produced and archived at ARM website as a PI-product of the 3-D cloud ice water contents using combined satellite high-frequency microwave and surface radar observations for SGP March 2000 IOP and TWP-ICE 2006 IOP over 10 deg. x 10 deg. area centered at ARM SGP central facility and Darwin sites. We have also worked on validation of the 3-D ice water product by CloudSat data, synergy with visible/infrared cloud ice water retrievals for better results at low ice water conditions, and created a long-term (several years) of ice water climatology in 10 x 10 deg. area of ARM SGP and TWP sites and then compared it with GCMs.

Liu, Guosheng

2013-03-15T23:59:59.000Z

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

ARM - Measurement - Cloud fraction  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud fraction Fraction of sky covered by clouds, observed directly or derived from SW...

22

ARM - Measurement - Cloud size  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud size Information about the physical dimensions of a cloud, including such measurements...

23

Properties of tropical convection observed by ARM millimeter-radars  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Properties of tropical convection observed by ARM millimeter-radars Properties of tropical convection observed by ARM millimeter-radars Haynes, John Colorado State University Stephens, Graeme Colorado State University Category: Cloud Properties The results of an analysis of tropical cloud systems observed from a variety of vertically pointing radar systems are described. In particular, observations taken during five years of operation of the ARM millimeter wavelength radar system (MMCR) at Manus Island in the Tropical West Pacific region are characterized into cloud classes according to the radar reflectivity structures of these cloud systems, associated rainfall, and surface radiative properties. These observations of cloud properties are composited with respect to various phases of the Madden Julian Oscillation, which is a dominant mode of variability at Manus Island. A method of better

24

ARM - Measurement - Cloud extinction  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

extinction extinction ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud extinction The removal of radiant energy from an incident beam by the process of cloud absorption and/or scattering. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments NEPHELOMETER : Nephelometer Field Campaign Instruments CEP : Cloud Extinction Probe CLDAEROSMICRO : Cloud and Aerosol Microphysical Properties EC-CONVAIR580-BULK : Environment Canada Convair 580 Bulk Parameters

25

ARM - Measurement - Cloud particle size distribution  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

size distribution size distribution ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud particle size distribution The number of cloud particles present in any given volume of air within a specified size range, including liquid and ice. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments WSACR : Scanning ARM Cloud Radar, tuned to W-Band (95GHz) Field Campaign Instruments CPI : Cloud Particle Imager CLDAEROSMICRO : Cloud and Aerosol Microphysical Properties

26

E-Print Network 3.0 - arm remote clouds Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

for: arm remote clouds Page: << < 1 2 3 4 5 > >> 1 A SYNERGY OF MICROWAVE CLOUD TOMOGRAPHY AND SCANNING RADAR: MOVING TOWARD A 3D VIEW OF CLOUDS Summary: Measurement (ARM) and...

27

ARM: Millimeter Wave Cloud Radar (MMCR), replaces mmcrcal and mmcrmoments datastreams following C-40 processor upgrade of 2003.09.09  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Millimeter Wave Cloud Radar (MMCR), replaces mmcrcal and mmcrmoments datastreams following C-40 processor upgrade of 2003.09.09

Widener, Kevin; Bharadwaj, Nitin; Johnson, Karen

28

ARM - Evaluation Product - Active Remote Sensing of Clouds from Ka-band ARM  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ProductsActive Remote Sensing of Clouds from Ka-band ProductsActive Remote Sensing of Clouds from Ka-band ARM Zenith Radars Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Active Remote Sensing of Clouds from Ka-band ARM Zenith Radars Site(s) GAN SGP General Description The Ka-band ARM Zenith Radars (KAZRs) have replaced the long-serving Millimeter Cloud Radars, or MMCRs. Accordingly, the primary MMCR Value Added Product (VAP), the Active Remote Sensing of CLouds (ARSCL) product, is being replaced by a KAZR-based version, the KAZR-ARSCL VAP. KAZR-ARSCL provides cloud boundaries and best-estimate time-height fields of radar moments. KAZR observations are corrected for water vapor attenuation and velocity aliasing and significant detection masks are produced. KAZR-ARSCL

29

ARM - Measurement - Cloud top height  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud top height For a given cloud or cloud layer, the highest level of the atmosphere where...

30

Millimeter Wave Cloud Radar (MMCR) Handbook  

SciTech Connect (OSTI)

The millimeter cloud radar (MMCR) systems probe the extent and composition of clouds at millimeter wavelengths. The MMCR is a zenith-pointing radar that operates at a frequency of 35 GHz. The main purpose of this radar is to determine cloud boundaries (e.g., cloud bottoms and tops). This radar will also report radar reflectivity (dBZ) of the atmosphere up to 20 km. The radar possesses a doppler capability that will allow the measurement of cloud constituent vertical velocities.

KB Widener; K Johnson

2005-01-30T23:59:59.000Z

31

ARM - Field Campaign - 2001 Multi-Frequency Radar IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaigns2001 Multi-Frequency Radar IOP govCampaigns2001 Multi-Frequency Radar IOP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : 2001 Multi-Frequency Radar IOP 2001.03.01 - 2001.09.30 Lead Scientist : Stephen Sekelsky Data Availability http://abyss.ecs.umass.edu For data sets, see below. Summary Install UMass and NOAA Aeronomy Laboratory "guest instrument" radars at the SGP CART site adjacent to the MMCR system. Both the UMass and NOAA Aeronomy Laboratory systems will run autonomously for approximately a six month period. Description Scientific hypothesis: A. Measurements from the University of Massachusetts (UMass) Cloud Profiling Radar System (CPRS) - 95/33 GHz Radar indicate that the 95 GHz channel is much less sensitive to insect clutter than the 35 GHz channel by

32

ARM - Measurement - Cloud ice particle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ice particle ice particle ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud ice particle Particles made of ice found in clouds. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments MET : Surface Meteorological Instrumentation Field Campaign Instruments REPLICATOR : Balloon-borne Ice Crystal Replicator CPI : Cloud Particle Imager CVI-AIR : Counterflow Virtual Impactor LEARJET : Lear Jet PARTIMG : Particle imager UAV-PROTEUS-MICRO : Proteus Cloud Microphysics Instruments

33

ARM - Measurement - Cloud condensation nuclei  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

condensation nuclei condensation nuclei ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud condensation nuclei Small particles (typically 0.0002 mm, or 1/100 th the size of a cloud droplet) about which cloud droplets coalesce. Categories Aerosols, Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments AOS : Aerosol Observing System CCN : Cloud Condensation Nuclei Particle Counter Field Campaign Instruments AOS : Aerosol Observing System

34

ARM - Measurement - Cloud base height  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

base height base height ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud base height For a given cloud or cloud layer, the lowest level of the atmosphere where cloud properties are detectable. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments BLC : Belfort Laser Ceilometer MPL : Micropulse Lidar MWRP : Microwave Radiometer Profiler RL : Raman Lidar VCEIL : Vaisala Ceilometer External Instruments NOAASURF : NOAA Surface Meteorology Data, collected by NWS and NCDC

35

ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, S-band Radar (williams-s_band)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

Christopher Williams

36

ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, S-band Radar (williams-s_band)  

SciTech Connect (OSTI)

This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

Williams, Christopher

2012-11-06T23:59:59.000Z

37

ARM - Measurement - Total cloud water  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

cloud water cloud water ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total cloud water The total concentration (mass/vol) of ice and liquid water particles in a cloud; this includes condensed water content (CWC). Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. External Instruments NCEPGFS : National Centers for Environment Prediction Global Forecast System Field Campaign Instruments CSI : Cloud Spectrometer and Impactor PDI : Phase Doppler Interferometer

38

ARM - Measurement - Cloud droplet size  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

droplet size droplet size ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud droplet size Linear size (e.g. radius or diameter) of a cloud particle Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. Field Campaign Instruments CPI : Cloud Particle Imager CVI-AIR : Counterflow Virtual Impactor MIRAI : JAMSTEC Research Vessel Mirai PDI : Phase Doppler Interferometer UAV-PROTEUS-MICRO : Proteus Cloud Microphysics Instruments SPEC-CPI : Stratton Park Engineering Company - Cloud particle imager

39

ARM - Measurement - Cloud optical depth  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

optical depth optical depth ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud optical depth Amount of light cloud droplets or ice particles prevent from passing through a column of atmosphere. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. External Instruments GOES : Geostationary Operational Environmental Satellites Field Campaign Instruments EC-CONVAIR580-BULK : Environment Canada Convair 580 Bulk Parameters GOES : Geostationary Operational Environmental Satellites

40

ARM - Field Campaign - Cloud IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsCloud IOP govCampaignsCloud IOP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Cloud IOP 1998.04.27 - 1998.05.17 Lead Scientist : Gerald Mace For data sets, see below. Summary Monday, April 27, 1998 IOP Opening Activities: Heavy rain (nearly 2.5" since 12Z 4/26/98) at the central facility (CF) dominated the first day of the Cloud Physics/Single Column Model IOP and limited the daily activities. A 1430 GMT sonde launch commenced the 3-hour sonde launch schedule at the CF and 4 boundary facilities (BFs). Scientists/Instrumentation on Site: Citation: Has arrived and is located at the Ponca City Airport. No flights are currently planned. Flights are tentatively planned for stratus sampling when precipitation ends.

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

ARM Cloud Properties Working Group: Meeting Logistics  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Properties WG Breakout Session 2008 ARM Science Team Meeting Mar. 10, 2008, Norfolk, VA Monday March 10, 2008 1500 to 1515: R. Hogan - A Proposal for ARM support of Cloudnet...

42

Scanning Cloud Radar Observations at Azores: Preliminary 3D Cloud Products  

SciTech Connect (OSTI)

The deployment of the Scanning W-Band ARM Cloud Radar (SWACR) during the AMF campaign at Azores signals the first deployment of an ARM Facility-owned scanning cloud radar and offers a prelude for the type of 3D cloud observations that ARM will have the capability to provide at all the ARM Climate Research Facility sites by the end of 2010. The primary objective of the deployment of Scanning ARM Cloud Radars (SACRs) at the ARM Facility sites is to map continuously (operationally) the 3D structure of clouds and shallow precipitation and to provide 3D microphysical and dynamical retrievals for cloud life cycle and cloud-scale process studies. This is a challenging task, never attempted before, and requires significant research and development efforts in order to understand the radar's capabilities and limitations. At the same time, we need to look beyond the radar meteorology aspects of the challenge and ensure that the hardware and software capabilities of the new systems are utilized for the development of 3D data products that address the scientific needs of the new Atmospheric System Research (ASR) program. The SWACR observations at Azores provide a first look at such observations and the challenges associated with their analysis and interpretation. The set of scan strategies applied during the SWACR deployment and their merit is discussed. The scan strategies were adjusted for the detection of marine stratocumulus and shallow cumulus that were frequently observed at the Azores deployment. Quality control procedures for the radar reflectivity and Doppler products are presented. Finally, preliminary 3D-Active Remote Sensing of Cloud Locations (3D-ARSCL) products on a regular grid will be presented, and the challenges associated with their development discussed. In addition to data from the Azores deployment, limited data from the follow-up deployment of the SWACR at the ARM SGP site will be presented. This effort provides a blueprint for the effort required for the development of 3D cloud products from all new SACRs that the program will deploy at all fixed and mobile sites by the end of 2010.

Kollias, P.; Johnson, K.; Jo, I.; Tatarevic, A.; Giangrande, S.; Widener, K.; Bharadwaj, N.; Mead, J.

2010-03-15T23:59:59.000Z

43

NNSA Completes its Critical Radar Arming and Fuzing Test for...  

National Nuclear Security Administration (NNSA)

its Critical Radar Arming and Fuzing Test for the W88 ALT 370 | National Nuclear Security Administration People Mission Managing the Stockpile Preventing Proliferation Powering the...

44

ARM - Field Campaign - Cloud LAnd Surface Interaction Campaign (CLASIC)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsCloud LAnd Surface Interaction Campaign (CLASIC) govCampaignsCloud LAnd Surface Interaction Campaign (CLASIC) Campaign Links CLASIC Website Related Campaigns CLASIC - SAM Support 2007.06.09, DeVore, SGP CLASIC - 9.4 GHz Phase Array Radar 2007.06.08, Kollias, SGP CLASIC - Southern Great Plains Aerosol Evolution Study (SGPAES) 2007.06.08, Collins, SGP CLASIC - Land Surface 2007.06.01, Jackson, SGP CLASIC - Radiosonde Campaign 2007.06.01, Orr, SGP CLASIC - SGP Particle Phase Experiment 2007.06.01, Martin, SGP CLASIC - Land-Cloud Coupled Data Assimilation System 2007.06.01, Jackson, SGP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Cloud LAnd Surface Interaction Campaign (CLASIC) 2007.06.01 - 2007.06.30 Website : http://acrf-campaign.arm.gov/clasic/ Lead Scientist : Mark Miller

45

ARM - Instrument - xsacr  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstrumentsxsacr govInstrumentsxsacr Documentation XSACR : Handbook XSACR : Instrument Mentor Monthly Summary (IMMS) reports XSACR : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : X-Band Scanning ARM Cloud Radar (XSACR) Beneficiary of Recovery Act funding. Instrument Categories Cloud Properties Picture of the X-band scanning ARM cloud radar Picture of the X-band scanning ARM cloud radar Note: All the Scanning ARM Cloud Radars have been technically accepted by ARM as meeting specification and each radar's first data are available at this URL: http://www.archive.arm.gov/sacr/. ARM's scanning cloud radars are fully coherent dual-frequency, dual-polarization Doppler radars mounted on a common scanning pedestal.

46

ARM Cloud Aerosol Precipitation Experiment  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Satellite Observation CAS Cloud Aerosol Spectrometer CCN Cloud Condensation Nuclei CIP Cloud Imaging Probe CPC Condensation Particle Counter CSPHOT Cimel sunphotometer CVI...

47

ARM Climate Research Facility  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Development Tier: Evaluation Engineering Change Order-00957 has been approved to correct ship motion for the cloud radar data for the Marine ARM GPCI Investigation of Clouds...

48

ARM - Field Campaign - Spring Cloud IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsSpring Cloud IOP govCampaignsSpring Cloud IOP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Spring Cloud IOP 2000.03.01 - 2000.03.26 Lead Scientist : Gerald Mace For data sets, see below. Summary The Atmospheric Radiation Measurement (ARM) Program conducted a Cloud Intensive Operational Period (IOP) in March 2000 that was the first-ever effort to document the 3-dimensional cloud field from observational data. Prior numerical studies of solar radiation propagation through the atmosphere in the presence of clouds have been limited by the necessity to use theoretical representations of clouds. Three-dimensional representations of actual clouds and their microphysical properties, such as the distribution of ice and water, had previously not been possible

49

A Study to Investigate Cloud Feedback Processes and Evaluate GCM Cloud Variations Using Statistical Cloud Property Composites From ARM Data  

SciTech Connect (OSTI)

The representation of clouds in Global Climate Models (GCMs) remains a major source of uncertainty in climate change simulations. Cloud climatologies have been widely used to either evaluate climate model cloud fields or examine, in combination with other data sets, climate-scale relationships between cloud properties and dynamical or microphysical parameters. Major cloud climatologies have been based either on satellite observations of cloud properties or on surface observers views of cloud type and amount. Such data sets provide either the top-down view of column-integrated cloud properties (satellites) or the bottom-up view of the cloud field morphology (surface observers). Both satellite-based and surface cloud climatologies have been successfully used to examine cloud properties, to support process studies, and to evaluate climate and weather models. However, they also present certain limitations, since the satellite cloud types are defined using radiative cloud boundaries and surface observations are based on cloud boundaries visible to human observers. As a result, these data sets do not resolve the vertical distribution of cloud layers, an issue that is important in calculating both the radiative and the hydrologic effects of the cloud field. Ground-based cloud radar observations, on the other hand, resolve with good accuracy the vertical distribution of cloud layers and could be used to produce cloud type climatologies with vertical layering information. However, these observations provide point measurements only and it is not immediately clear to what extent they are representative of larger regimes. There are different methods that can be applied to minimize this problem and to produce cloud layering climatologies useful for both cloud process and model evaluation studies. If a radar system is run continuously over a number of years, it eventually samples a large number of dynamical and microphysical regimes. If additional data sets are used to put the cloud layering information into the context of large-scale dynamical regimes, such information can be used to study interactions among cloud vertical distributions and dynamical and microphysical processes and to evaluate the ability of models to simulate those interactions. The U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) program has established several Climate Research Facilities (ACRF) that provide continuous, long-term observations of clouds and radiation. ARM, with its overall goal of improving the treatment of radiation and clouds in climate models has provided unique observing systems for accelerating progress on the representation of cloud processes. In this project, six and a half years (January 1998 to June 2004) of cloud observations collected at the Southern Great Plains (SGP) Oklahoma ACRF were used to produce a cloud-type climatology. The climatology provides cloud amounts for seven different cloud types as well as information on the detailed structure of multi-layer cloud occurrences. Furthermore, the European Centre for Medium-Range Weather Forecasts (ECMWF) model output was used to define the dynamic regimes present during the observations of the cloud conditions by the vertically pointing radars at the SGP ACRF. The cloud-type climatology and the ECMWF SGP data set were then analyzed to examine and map dynamical conditions that favor the creation of single-layer versus multi-layer cloud structures as well as dynamical conditions that favor the occurrence of drizzle in continental stratus clouds. In addition, output from the ECMWF weather model forecasts was analyzed with the objective to compare model and radar derived cloud type statistics, in order to identify the major model deficiencies in cloud vertical distribution and map their seasonal variations. The project included two primary goals. The first was to create a cloud type climatology over the Southern Great Planes site that will show how cloud vertical distribution varies with dynamic and thermodynamic regime and how these variations would affect cloud climate fe

George Tselioudis

2009-08-11T23:59:59.000Z

50

ARM - Instrument - wacr  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstrumentswacr govInstrumentswacr Documentation WACR : Handbook WACR : Instrument Mentor Monthly Summary (IMMS) reports WACR : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : W-Band (95 GHz) ARM Cloud Radar (WACR) Instrument Categories Cloud Properties Latest version W-band ARM cloud radar Latest version W-band ARM cloud radar General Overview The W-band Atmospheric Radiation Measurement (ARM) Program Cloud Radar (WACR) systems are zenith pointing Doppler radars that probe the extent and composition of clouds at 95.04 GHz. The main purpose of this radar is to determine cloud boundaries (e.g., cloud bottoms and tops). This radar reports estimates for the first three spectra moments for each range gate

51

ARM - Field Campaign - Biogenic Aerosols - Effects on Clouds and Climate:  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsBiogenic Aerosols - Effects on Clouds and Climate: Snowfall govCampaignsBiogenic Aerosols - Effects on Clouds and Climate: Snowfall Experiment Related Campaigns Biogenic Aerosols- Effects on Clouds and Climate 2014.02.01, Petäjä, AMF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Biogenic Aerosols - Effects on Clouds and Climate: Snowfall Experiment 2014.02.01 - 2014.04.30 Lead Scientist : Dmitri Moisseev Description The snowfall measurement campaign, which will take place during AMF2 deployment in Finland, will focus on understanding snowfall microphysics and characterizing performance of surface based snowfall measurement instruments. This will be achieved by combining triple frequency (X, Ka, W -band) radar observations of vertical structure of the precipitation,

52

ARM - PI Product - Cloud Properties and Radiative Heating Rates for TWP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ProductsCloud Properties and Radiative Heating Rates for ProductsCloud Properties and Radiative Heating Rates for TWP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Cloud Properties and Radiative Heating Rates for TWP 2002.01.01 - 2012.02.08 Site(s) TWP General Description A cloud properties and radiative heating rates dataset is presented where cloud properties retrieved using lidar and radar observations are input into a radiative transfer model to compute radiative fluxes and heating rates at three ARM sites located in the Tropical Western Pacific (TWP) region. The cloud properties retrieval is a conditional retrieval that applies various retrieval techniques depending on the available data, that is if lidar, radar or both instruments detect cloud. This Combined Remote

53

ARM - Publications Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

September 27, 2013 [Publications] September 27, 2013 [Publications] New Radar Brochure Available Bookmark and Share A new brochure describing ARM's global network of 32 research radars is now available. ARM radars are divided into three main groups: Scanning ARM Cloud Radars; Scanning ARM Precipitation Radars; and ARM Cloud Profiling Radars. A map is included, showing where specific radars are located throughout the ARM sites: North Slope of Alaska, Southern Great Plains, Tropical Western Pacific, and Eastern North Atlantic. It also indicates which type of radars are available with each of ARM's three mobile facilities. In addition, the brochure includes a high-level flowchart detailing how ARM radar data is stored, processed, and output into advanced data products and tools. All ARM data can be found using the ARM Data

54

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Radar Focus Group Zeroes in on Data Quality Radar Focus Group Zeroes in on Data Quality Bookmark and Share On the roof of the radar instrument shelter at the ARM Southern Great Plains site, antennas for the W-band ARM Cloud Radar (rectangular white box) and millimeter wavelength cloud radar (conical cylinder) send data to their respective computer systems inside the shelter. On the roof of the radar instrument shelter at the ARM Southern Great Plains site, antennas for the W-band ARM Cloud Radar (rectangular white box) and millimeter wavelength cloud radar (conical cylinder) send data to their respective computer systems inside the shelter. In 2007, ARM established a Radar Focus Group to address strategic needs related to the use of radars as a key component of the ARM instrument suite. Based on needs identified by this group, a smaller team of science,

55

ARM - Field Campaign - Boundary Layer Cloud IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsBoundary Layer Cloud IOP govCampaignsBoundary Layer Cloud IOP Campaign Links Campaign Images Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Boundary Layer Cloud IOP 2005.07.11 - 2005.08.07 Lead Scientist : William Shaw For data sets, see below. Description Investigators from Pacific Northwest National Laboratory, in collaboration with scientists from a number of other institutions, carried out a month of intensive measurements at the ARM Climate Research Facility on the North Slope of Alaska in the summer of 2005. The purpose of these measurements was to determine how much the arctic land surface modifies the way low clouds reflect, absorb, and transmit solar and infrared radiation. This is an important problem because arctic clouds play a prominent role in

56

Cloud radar Doppler spectra in drizzling stratiform clouds: 2. Observations and microphysical modeling of drizzle evolution  

E-Print Network [OSTI]

Cloud radar Doppler spectra in drizzling stratiform clouds: 2. Observations and microphysical I, the influence of cloud microphysics and dynamics on the shape of cloud radar Doppler spectra in warm stratiform clouds was discussed. The traditional analysis of radar Doppler moments was extended

57

Understanding the AIRS, ARM, and MODIS cloud products by cross-comparison  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Understanding the AIRS, ARM, and MODIS cloud products by cross-comparison Understanding the AIRS, ARM, and MODIS cloud products by cross-comparison Kahn, Brian Jet Propulsion Laboratory Eldering, Annmarie Jet Propulsion Laboratory Category: Cloud Properties We present comparisons of the Atmospheric Infrared Sounder (AIRS) operational cloud top height (CTH) to the active surface-based measurements of the Atmospheric Radiation Measurement (ARM) program sites in the tropical Western Pacific. The agreement is found to be consistent to other comparisons of passive IR-derived CTH from other measurement platforms despite the nominal footprint size of 45 km at nadir view. Independent comparisons of CTH to the millimeter-wave cloud radar at Manus Island and the micropulse lidar at Nauru Island indicate that the CTH retrieved by AIRS is statistically significant at the 5% level or less for cirrus cases

58

MAGIC: Marine ARM GPCI Investigation of Clouds  

SciTech Connect (OSTI)

The second Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF2) will be deployed aboard the Horizon Lines cargo container ship merchant vessel (M/V) Spirit for MAGIC, the Marine ARM GPCI1 Investigation of Clouds. The Spirit will traverse the route between Los Angeles, California, and Honolulu, Hawaii, from October 2012 through September 2013 (except for a few months in the middle of this time period when the ship will be in dry dock). During this field campaign, AMF2 will observe and characterize the properties of clouds and precipitation, aerosols, and atmospheric radiation; standard meteorological and oceanographic variables; and atmospheric structure. There will also be two intensive observational periods (IOPs), one in January 2013 and one in July 2013, during which more detailed measurements of the atmospheric structure will be made.

Lewis, ER; Wiscombe, WJ; Albrecht, BA; Bland, GL; Flagg, CN; Klein, SA; Kollias, P; Mace, G; Reynolds, RM; Schwartz, SE; Siebesma, AP; Teixeira, J; Wood, R; Zhang, M

2012-10-03T23:59:59.000Z

59

ARM - Midlatitude Continental Convective Clouds  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Convective processes play a critical role in the Earth's energy balance through the redistribution of heat and moisture in the atmosphere and their link to the hydrological cycle. Accurate representation of convective processes in numerical models is vital towards improving current and future simulations of Earths climate system. Despite improvements in computing power, current operational weather and global climate models are unable to resolve the natural temporal and spatial scales important to convective processes and therefore must turn to parameterization schemes to represent these processes. In turn, parameterization schemes in cloud-resolving models need to be evaluated for their generality and application to a variety of atmospheric conditions. Data from field campaigns with appropriate forcing descriptors have been traditionally used by modelers for evaluating and improving parameterization schemes.

Jensen, Mike; Bartholomew, Mary Jane; Genio, Anthony Del; Giangrande, Scott; Kollias, Pavlos

60

ARM - Instrument - kasacr  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstrumentskasacr govInstrumentskasacr Documentation KASACR : Handbook KASACR : Instrument Mentor Monthly Summary (IMMS) reports KASACR : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Ka-Band Scanning ARM Cloud Radar (KASACR) Beneficiary of Recovery Act funding. Instrument Categories Cloud Properties Note: All the Scanning ARM Cloud Radars have been technically accepted by ARM as meeting specification and each radar's first data are available at this URL: http://www.archive.arm.gov/sacr/. ARM's scanning cloud radars are fully coherent dual-frequency, dual-polarization Doppler radars mounted on a common scanning pedestal. Each pedestal includes a Ka-band radar (2kW peak power) and the deployment

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Cloud radar Doppler spectra in drizzling stratiform clouds: 1. Forward modeling and remote sensing applications  

E-Print Network [OSTI]

Cloud radar Doppler spectra in drizzling stratiform clouds: 1. Forward modeling and remote sensing broadening and drizzle growth in shallow liquid clouds remain not well understood. Detailed, cloudscale. Profiling, millimeterwavelength (cloud) radars can provide such observations. In particular, the first three

62

ARM - PI Product - SGP and TWP (Manus) Ice Cloud Vertical Velocities  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ProductsSGP and TWP (Manus) Ice Cloud Vertical ProductsSGP and TWP (Manus) Ice Cloud Vertical Velocities Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : SGP and TWP (Manus) Ice Cloud Vertical Velocities 1997.01.01 - 2010.12.31 Site(s) SGP TWP General Description Daily netcdf-files of ice-cloud dynamics observed at the ARM sites at SGP (Jan1997-Dec2010) and Manus (Jul1999-Dec2010). The files include variables at different time resolution (10s, 20min, 1hr). Profiles of radar reflectivity factor (dbz), Doppler velocity (vel) as well as retrieved vertical air motion (V_air) and reflectivity-weighted particle terminal fall velocity (V_ter) are given at 10s, 20min and 1hr resolution. Lower level clouds are removed, however a multi-layer flag is included.

63

Inferring Cloud Feedbacks from ARM Continuous Forcing, ISCCP...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Inferring Cloud Feedbacks from ARM Continuous Forcing, ISCCP, and ARSCL Data A. D. Del Genio National Aeronautics and Space Administration Goddard Institute for Space Studies New...

64

ARM - PI Product - Cloud-Scale Vertical Velocity and Turbulent Dissipation  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ProductsCloud-Scale Vertical Velocity and Turbulent ProductsCloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals Site(s) NSA General Description Time-height fields of retrieved in-cloud vertical wind velocity and turbulent dissipation rate, both retrieved primarily from vertically-pointing, Ka-band cloud radar measurements. Files are available for manually-selected, stratiform, mixed-phase cloud cases observed at the North Slope of Alaska (NSA) site during periods covering the Mixed-Phase Arctic Cloud Experiment (MPACE, late September through early November 2004) and the Indirect and Semi-Direct Aerosol Campaign (ISDAC, April-early May

65

Comparison of POLDER Apparent and Corrected Oxygen Pressure to ARM/MMCR Cloud Boundary Pressures  

SciTech Connect (OSTI)

POLDER (POLarization and Directionality of the Earths Reflectances) cloud oxygen pressures are compared to cloud boundary pressures obtained from the combination of Lidar and Millimeter Wave Cloud Radar ground measurements located at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site. Without ground reflection correction, the apparent pressures are found to be closer to the mean cloud pressure than to the cloud top pressure. Nevertheless, for almost a quarter of our comparison cases the apparent pressure level is found to be below the cloud base level. This problem practically disappears applying a simple correction for the surface reflection effect. The corrected oxygen pressures are then found to be very close (12 hPa on average) to the mean cloud pressure.

Vanbauce, Claudine; Cadet, Bertrand; Marchand, Roger T.

2003-03-06T23:59:59.000Z

66

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

W-Band Cloud Radar Added to ARM Mobile Facility in Africa W-Band Cloud Radar Added to ARM Mobile Facility in Africa Bookmark and Share Most of the WACR is mounted on top of one of the AMF shelters. The WACR computer and chiller (used to keep the WACR cool in temperatures up to 47 degrees C) are located in the shelter below the radar. Most of the WACR is mounted on top of one of the AMF shelters. The WACR computer and chiller (used to keep the WACR cool in temperatures up to 47 degrees C) are located in the shelter below the radar. A W-band ARM Cloud Radar (WACR) recently joined the suite of baseline capabilities offered by the ARM Mobile Facility (AMF). The term "W-band" refers to the specific radio frequency range of this radar, which is a 95 gigahertz pulse Doppler zenith pointing radar, providing profiles of cloud

67

ARM - Instrument - mmcr  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstrumentsmmcr govInstrumentsmmcr Documentation MMCR : Handbook MMCR : Instrument Mentor Monthly Summary (IMMS) reports MMCR : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Millimeter Wavelength Cloud Radar (MMCR) Instrument Categories Cloud Properties Picture of the Millimeter Wave Cloud Radar (MMCR) Picture of the Millimeter Wave Cloud Radar (MMCR) General Overview The MMCR systems probe the extent and composition of clouds at millimeter wavelengths. The MMCR is a zenith-pointing radar that operates at a frequency of 35 GHz. The main purpose of this radar is to determine cloud boundaries (e.g., cloud bottoms and tops). This radar will also report radar reflectivity (dBZ) of the atmosphere up to 20 km.

68

Time Correlations in Backscattering Radar Reflectivity Measurements from Cirrus Clouds  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Time Correlations in Backscattering Radar Reflectivity Time Correlations in Backscattering Radar Reflectivity Measurements from Cirrus Clouds K. Ivanova, H. N. Shirer, and E. E. Clothiaux Pennsylvania State University University Park, Pennsylvania T. P. Ackerman Pacific Northwest National Laboratory Richland, Washington Introduction The state variables of the atmosphere exhibit correlations at various spatial and temporal scales. These correlations are crucial for understanding short- and long-term trends in climate. Cirrus clouds are important phenomena in the troposphere affecting climate. To improve future parameterization of cirrus clouds in climate models, we must understand the cloud properties and how they change within the cloud. We consider fluctuations of cloud radar signals obtained at isodepths within cirrus clouds

69

ARM - Publications: Science Team Meeting Documents: Cloud Radiative Forcing  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Radiative Forcing at the ARM Climate Research Facility: Part 2. The Cloud Radiative Forcing at the ARM Climate Research Facility: Part 2. The Vertical Redistribution of Radiant Energy by Clouds. Mace, Gerald University of Utah Benson, Sally University of Utah Kato, Seiji Hampton University/NASA Langley Research Center Documentation with data of the effects of clouds on the radiant energy balance of the surface and atmosphere represent a critical shortcoming in the set of observations that are needed to ascertain the validity of model simulations of the earth's climate. While clouds are known to cool the climate system from TOA radiation budget studies, the redistribution of energy between the surface and atmosphere and within the atmosphere by clouds has not been examined in detail. Using data collected at the Atmospheric Radiation Measurement Program (ARM) Southern Great Plains (SGP)

70

Prospects of the WSR-88D Radar for Cloud Studies  

E-Print Network [OSTI]

Sounding of nonprecipitating clouds with the 10-cm wavelength Weather Surveillance Radar-1988 Doppler (WSR-88D) is discussed. Readily available enhancements to signal processing and volume coverage patterns of the WSR-88D allow observations of a...

Melnikov, Valery M.; Zrni?, Dusan S.; Doviak, Richard J.; Chilson, Phillip B.; Mechem, David B.; Kogan, Yefim L.

2011-04-01T23:59:59.000Z

71

Influence of Microscale Turbulent Droplet Clustering on Radar Cloud Observations  

Science Journals Connector (OSTI)

This study investigates the influence of microscale turbulent clustering of cloud droplets on the radar reflectivity factor and proposes a new parameterization to account for it. A three-dimensional direct numerical simulation of particle-laden ...

Keigo Matsuda; Ryo Onishi; Masaaki Hirahara; Ryoichi Kurose; Keiko Takahashi; Satoru Komori

2014-10-01T23:59:59.000Z

72

ARM - PI Product - Cloud Property Retrieval Products for Graciosa...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Cloud Property Retrieval Products for Graciosa Island, Azores research data - ASR funded ...

73

Mixed-Phase Cloud Retrievals Using Doppler Radar Spectra  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Mixed-Phase Cloud Retrievals Using Mixed-Phase Cloud Retrievals Using Doppler Radar Spectra M. D. Shupe, S. Y. Matrosov, and T. L. Schneider National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado P. Kollias Rosentiel School of Marine Atmospheric Sciences University of Miami Miami, Florida Introduction The radar Doppler spectrum contains a wealth of information on cloud microphysical properties. Typically, radar-based cloud retrievals use only the zeroth or first moments of the Doppler spectrum - reflectivity and mean Doppler velocity - to derive quantities such as cloud water content and particle characteristic size (e.g., Liou and Sassen 1994; Matrosov et al. 2002). When using only the moments of the Doppler spectrum, important spectral information can be lost, particularly when the spectrum is

74

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Meteorological Operations Rusk, D.J., Aeromet, Inc. Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting It is highly desirable to use cloud radar data in...

75

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Battle With Bugs Nearly Over Thanks to New Radar Battle With Bugs Nearly Over Thanks to New Radar Bookmark and Share The new W-band ARM cloud radar, or WACR, provides improved sensitivity for detecting tiny objects in the atmosphere to an altitude of 5 km. The instrument's antenna is located adjacent to the millimeter wave cloud radar (MMCR) antenna on top of the MMCR shelter; the rest of the unit is located inside (inset). The new W-band ARM cloud radar, or WACR, provides improved sensitivity for detecting tiny objects in the atmosphere to an altitude of 5 km. The instrument's antenna is located adjacent to the millimeter wave cloud radar (MMCR) antenna on top of the MMCR shelter; the rest of the unit is located inside (inset). The main purpose of the millimeter wavelength cloud radar (MMCR) is to

76

A Climatology of Surface Cloud Radiative Effects at the ARM Tropical Western Pacific Sites  

SciTech Connect (OSTI)

Cloud radiative effects on surface downwelling fluxes are investigated using long-term datasets from the three Atmospheric Radiation Measurement (ARM) sites in the Tropical Western Pacific (TWP) region. The Nauru and Darwin sites show significant variability in sky cover, downwelling radiative fluxes, and surface cloud radiative effect (CRE) due to El Nio and the Australian monsoon, respectively, while the Manus site shows little intra-seasonal or interannual variability. Cloud radar measurement of cloud base and top heights are used to define cloud types so that the effect of cloud type on the surface CRE can be examined. Clouds with low bases contribute 71-75% of the surface shortwave (SW) CRE and 66-74% of the surface longwave (LW) CRE at the three TWP sites, while clouds with mid-level bases contribute 8-9% of the SW CRE and 12-14% of the LW CRE, and clouds with high bases contribute 16-19% of the SW CRE and 15-21% of the LW CRE.

McFarlane, Sally A.; Long, Charles N.; Flaherty, Julia E.

2013-04-01T23:59:59.000Z

77

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Height Statistics Derived from ARM Millimeter Cloud Radar Cloud Height Statistics Derived from ARM Millimeter Cloud Radar Kato, S. (a), Clothiaux, E.E. (b), and Xu, K.-M. (c), Hampton University (a), Pennsylvania State University (b), NASA Langley Research Center(c) Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting The probability of occurrence of the cloud top height for a given altitude and relation to the geometrical cloud thickness are derived from radar reflectivity factor taken by a millimeter cloud radar operated at ARM Oklahoma site. Statistics derived using July 1997 data show that the cloud top is likely to occur at 12 km and clouds extend to the lower troposphere. Statistics derived using January 1998 data show that single layer boundary layer clouds are dominant. There is another cloud top peak, although less

78

ARM - Publications: Science Team Meeting Documents: Clouds in the Darwin  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Clouds in the Darwin area and their relation to large-scale conditions Clouds in the Darwin area and their relation to large-scale conditions Jakob, Christian BMRC Hoeglund, Sofia Lulea University of Technology This poster shows a climatological overview of the cloud cover in the Darwin region (location of a TWP ARM site) in the very north of Australia. Information on optical thickness and cloud top pressure from the ISCCP Stage D1 product over the time period 1985 to 2000 has been used to examine how the cloud cover changes over the course of a year, and also how it is affected by the seasonal changes in the region. The most remarkable changes can be seen during the wet (summer) season, when wet westerly winds sweep in over Darwin and dramatically change the weather conditions. By dividing the cloud cover into cloud regimes, one can also see an

79

ARM - Field Campaign - Biogenic Aerosols - Effects on Clouds and Climate:  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsBiogenic Aerosols - Effects on Clouds and Climate: govCampaignsBiogenic Aerosols - Effects on Clouds and Climate: FIGAERO-ToF-CIMS Instrument in Hyytiala with AMF-2 Related Campaigns Biogenic Aerosols- Effects on Clouds and Climate 2014.02.01, Petäjä, AMF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Biogenic Aerosols - Effects on Clouds and Climate: FIGAERO-ToF-CIMS Instrument in Hyytiala with AMF-2 2014.04.01 - 2014.06.01 Lead Scientist : Joel Thornton Description The ultimate goal of this work is to connect field and laboratory observations of organic aerosol chemical and physical properties during the nascent growth stage to the diurnal and vertical distributions of aerosol abundance measured over the boreal forest by the ARM Mobile Facility 2

80

ARM - Evaluation Product - CMWG Data - SCM-Forcing Data, Cloud  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ProductsCMWG Data - SCM-Forcing Data, Cloud ProductsCMWG Data - SCM-Forcing Data, Cloud Microphysical Properties and Radiative Heating Profiles Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : CMWG Data - SCM-Forcing Data, Cloud Microphysical Properties and Radiative Heating Profiles Site(s) GAN HFE NSA SGP TWP General Description SCM-forcing data are derived from the ARM Program observational data using the constrained variational analysis approach (Zhang and Lin 1997 and Zhang et al. 2001). The resulting products include both the large-scale forcing terms and the evaluation fields, which can be used for driving the Single-Column Models (SCMs) and Cloud Resolving Models (CRMs) and validating model simulations. Results from our studies are then used to

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

ARM - Field Campaign - Midlatitude Continental Convective Clouds Experiment  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Experiment (MC3E) Experiment (MC3E) Campaign Links Science Plan MC3E Website Related Campaigns Midlatitude Continental Convective Clouds Experiment: 2DVD Support 2011.04.22, Schwaller, SGP Midlatitude Continental Convective Clouds Experiment (MC3E): Airborne Instruments 2011.04.22, Poellot, AAF Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers 2011.04.22, Williams, SGP Midlatitude Continental Convective Clouds Experiment: Parsivel Disdrometer Support 2011.04.22, Schwaller, SGP Midlatitude Continental Convective Clouds Experiment (MC3E): Inner Domain Thermodynamic Profiling during MC3E 2011.04.22, Turner, SGP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Midlatitude Continental Convective Clouds Experiment (MC3E)

82

DOE/SC-ARM-13-008 First ARM/ASR Radar Workshop: Workshop  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

8 8 First ARM/ASR Radar Workshop: Workshop Summary and Recommendations KB Widener and P Kollias May 2013 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or

83

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

March 31, 2009 [Facility News] March 31, 2009 [Facility News] New Sensors Installed for Cloud Radar Calibration at North Slope Bookmark and Share Located on the roof of the Guest Instrument Facility at the ARM Barrow site are the PARSIVEL (left) and POSS (right) instruments. Located on the roof of the Guest Instrument Facility at the ARM Barrow site are the PARSIVEL (left) and POSS (right) instruments. Cloud radars at the ARM sites provide important information about cloud properties and continue to evolve in providing climate researchers more complex data. This creates a greater need to know the absolute calibration of the radar reflectivity measurement. However, the large and immobile antenna for the millimeter wavelength cloud radar (MMCR) is impossible to point directly at a calibration target. At the ARM North Slope of Alaska

84

MAGIC: Marine ARM GPCI Investigations of Clouds Principal Investigators  

E-Print Network [OSTI]

MAGIC: Marine ARM GPCI Investigations of Clouds Principal Investigators Ernie R. Lewis (Brookhaven, The Netherlands) Joao Teixeira (Jet Propulsion Laboratory, California Institute of Technology) Robert Wood (University of Washington) Minghua Zhang (Stony Brook University) #12;Why, When, and Where? Low marine

Ohta, Shigemi

85

ARM - PI Product - Atmospheric State, Cloud Microphysics & Radiative Flux  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ProductsAtmospheric State, Cloud Microphysics & ProductsAtmospheric State, Cloud Microphysics & Radiative Flux Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Atmospheric State, Cloud Microphysics & Radiative Flux 1997.01.01 - 2010.12.31 Site(s) NSA SGP TWP General Description This data product contains atmospheric thermodynamics, cloud properties, radiative fluxes and radiative heating rates. The data represent a characterization of the physical state of the atmospheric column compiled on a five-minute temporal and 90m vertical grid. Sources for this information include raw measurements, cloud property and radiative retrievals, retrievals and derived variables from other third-party sources, and radiative calculations using the derived quantities.

86

ARM - Field Campaign - MASRAD: Cloud Condensate Nuclei Chemistry  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsMASRAD: Cloud Condensate Nuclei Chemistry Measurements govCampaignsMASRAD: Cloud Condensate Nuclei Chemistry Measurements Campaign Links AMF Point Reyes Website Related Campaigns MArine Stratus Radiation Aerosol and Drizzle (MASRAD) IOP 2005.03.14, Miller, AMF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : MASRAD: Cloud Condensate Nuclei Chemistry Measurements 2005.07.01 - 2005.07.30 Lead Scientist : Carl Berkowitz For data sets, see below. Description Principal Investigators: J. Ogren, C. Berkowitz, R. Halthore, A. Laskin, A. Strawa, J. Wang, A. Wexler As part of the ARM Mobile Facility (AMF) deployment to Point Reyes, CA in the spring and summer of 2005, a suite of instrumentation was installed to measure the chemical, physical and optical properties of aerosol particles

87

Analysis of cloud layer structure in Shouxian, China using RS92 radiosonde aided by 95 GHz cloud radar  

E-Print Network [OSTI]

Analysis of cloud layer structure in Shouxian, China using RS92 radiosonde aided by 95 GHz cloud to analyze cloud vertical structure over this area by taking advantage of the first direct measurements of cloud vertical layers from the 95 GHz radar. Singlelayer, twolayer, and threelayer clouds account for 28

Li, Zhanqing

88

Ice Concentration Retrieval in Stratiform Mixed-phase Clouds Using Cloud Radar Reflectivity Measurements and 1D Ice Growth Model Simulations  

SciTech Connect (OSTI)

Measurement of ice number concentration in clouds is important but still challenging. Stratiform mixed-phase clouds (SMCs) provide a simple scenario for retrieving ice number concentration from remote sensing measurements. The simple ice generation and growth pattern in SMCs offers opportunities to use cloud radar reflectivity (Ze) measurements and other cloud properties to infer ice number concentration quantitatively. To understand the strong temperature dependency of ice habit and growth rate quantitatively, we develop a 1-D ice growth model to calculate the ice diffusional growth along its falling trajectory in SMCs. The radar reflectivity and fall velocity profiles of ice crystals calculated from the 1-D ice growth model are evaluated with the Atmospheric Radiation Measurements (ARM) Climate Research Facility (ACRF) ground-based high vertical resolution radar measurements. Combining Ze measurements and 1-D ice growth model simulations, we develop a method to retrieve the ice number concentrations in SMCs at given cloud top temperature (CTT) and liquid water path (LWP). The retrieved ice concentrations in SMCs are evaluated with in situ measurements and with a three-dimensional cloud-resolving model simulation with a bin microphysical scheme. These comparisons show that the retrieved ice number concentrations are within an uncertainty of a factor of 2, statistically.

Zhang, Damao; Wang, Zhien; Heymsfield, Andrew J.; Fan, Jiwen; Luo, Tao

2014-10-01T23:59:59.000Z

89

ARM - Field Campaign - IR Cloud Camera Feasibility Study  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsIR Cloud Camera Feasibility Study govCampaignsIR Cloud Camera Feasibility Study Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : IR Cloud Camera Feasibility Study 2010.12.06 - 2010.12.13 Lead Scientist : Kyle Leesman For data sets, see below. Description During December 2010, a prototype LWIR cloud camera system was deployed at the Southern Great Plains Guest Instrument Facility (SGP-GIF). The system consisted of a microbolometer camera (~7-15 ìm) to capture sky imagery, a blackbody calibration source, and a GPS receiver used to estimate atmospheric column water vapor and constrain atmospheric compensation. The camera system collected calibrated sky radiance images co-incident with the SGP Central Facility with the goal of quantitatively assessing its ability

90

Simulations of cirrus clouds using an explicit cloud model: integrating ARM  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Simulations of cirrus clouds using an explicit cloud model: integrating ARM Simulations of cirrus clouds using an explicit cloud model: integrating ARM water vapor and forcing data for analysis of cirrus formation and evolution Comstock, Jennifer Pacific Northwest National Laboratory Lin, Ruei-Fong NASA/Goddard Space Flight Center Starr, David NASA/Goddard Space Flight Center Yang, Ping Texas A&M Category: Modeling Understanding the atmospheric conditions required to initiate cirrus formation and produce observed microphysical properties is crucial to improving the representation of cirrus clouds in climate models. Ice formation in cirrus generally occurs at cold temperatures (below -30 C) and can take the form of either homogeneous or heterogeneous nucleation. The ice supersaturation required for ice formation is smaller for

91

An Assessment of MultiAngle Imaging SpectroRadiometer (MISR) Stereo-Derived Cloud Top Heights and cloud top winds using ground-based radar, lidar, and microwave radiometers  

SciTech Connect (OSTI)

Clouds are of tremendous importance to climate because of their direct radiative effects and because of their role in atmospheric dynamics and the hydrological cycle. The value of satellite imagery in monitoring cloud properties on a global basis can hardly be understated. One cloud property that satellites are in an advantageous position to monitor is cloud top height. Cloud top height retrievals are especially important for MISR because the derived height field is used to co-register the measured radiances. In this presentation we show the results of an ongoing comparison between ground-based millimeter-wave cloud radar and lidar measurements of cloud top and MISR stereo-derived cloud top height. This comparison is based on data from three radar systems located in the U.S Southern Great Plains (Lamont, Oklahoma), the Tropical Western Pacific (Nauru Island) and the North Slope of Alaska (Barrow, Alaska). These radars are operated as part of the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program. The MISR stereo height algorithm is performing largely as expected for most optically thick clouds. As with many satellite retrievals, the stereo-height retrieval has difficulty with optically thin clouds or ice clouds with little optical contrast near cloud top.

Marchand, Roger T.; Ackerman, Thomas P.; Moroney, C.

2007-03-17T23:59:59.000Z

92

ARM Value-Added Cloud Products: Description and Status  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Value-Added Cloud Products: Value-Added Cloud Products: Description and Status M. A. Miller, K. L. Johnson, and D. T. Troyan Brookhaven National Laboratory Upton, New York E. E. Clothiaux Pennsylvania State University University Park, Pennsylvania E. J. Mlawer Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts G. G. Mace University of Utah Salt Lake City, Utah Introduction The Atmospheric Radiation Measurement (ARM) Program operates a variety of state-of-the-art active and passive remote sensors at its sites. These sensors provide information about the thermodynamic state of the atmosphere and the structure of the clouds that are present above the site. Families of value- added products (VAPs) that contain geophysically relevant data are produced from the electronic

93

ARM - Field Campaign - Colorado: The Storm Peak Lab Cloud Property  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsColorado: The Storm Peak Lab Cloud Property Validation govCampaignsColorado: The Storm Peak Lab Cloud Property Validation Experiment (STORMVEX) Campaign Links STORMVEX Website Related Campaigns Colorado: CFH/CMH Deployment to StormVEx 2011.02.01, Mace, AMF Colorado: SP2 Deployment at StormVEx 2010.11.15, Sedlacek, AMF Colorado : Cavity Attenuated Phase Shift 2010.11.15, Massoli, AMF Colorado: Infrared Thermometer (IRT) 2010.11.15, Mace, AMF Colorado: StormVEX Aerosol Size Distribution 2010.11.15, Hallar, AMF Colorado: Direct Measurements of Snowfall 2010.11.15, McCubbin, AMF Colorado: Thunderhead Radiative Flux Analysis Campaign 2010.11.15, Long, AMF Colorado: Ice Nuclei and Cloud Condensation Nuclei Characterization 2010.11.15, Cziczo, AMF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA.

94

ARM - Field Campaign - Complex Layered Cloud Experiment (CLEX)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsComplex Layered Cloud Experiment (CLEX) govCampaignsComplex Layered Cloud Experiment (CLEX) Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Complex Layered Cloud Experiment (CLEX) 1996.06.20 - 1996.07.02 Lead Scientist : Graeme Stephens Data Availability TABLE 1 Locations and Status of Extended Facilitiesa SMOS(c) Comments Site Elevation(b) Latitude, Surface Flux SIROS(c) (m) Longitude Type Station(c) (deg) Larned, KS 632 38.202 N Wheat ECOR Yes Yes Power and communication center EF-1 99.316 W 9/95 9/95 9/95 installation planned for July 1995 Hillsboro, 450 38.306 N Pasture EBBR 8/95 No Yes 8/95 Power and communication center

95

C-Band Scanning ARM Precipitation Radar (C-SAPR) Handbook  

SciTech Connect (OSTI)

The C-band scanning ARM precipitation radar (C-SAPR) is a scanning polarimetric Doppler radar transmitting simultaneously in both H and V polarizations. With a 350-kW magnetron transmitter, this puts 125 kW of transmitted power for each polarization. The receiver for the C-SAPR is a National Center for Atmospheric Research (NCAR) -developed Hi-Q system operating in a coherent-on-receive mode. The ARM Climate Research Facility operates two C-SAPRs; one of them is deployed near the Southern Great Plains (SGP) Central Facility near the triangular array of X-SAPRs, and the second C-SAPR is deployed at ARMs Tropical Western Pacific (TWP) site on Manus Island in Papua New Guinea.

Widener, K; Bharadwaj, N

2012-11-13T23:59:59.000Z

96

ARM - Datastreams - xsaprvad  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsxsaprvad Datastreamsxsaprvad Documentation Data Quality Plots Citation DOI: 10.5439/1025328 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSAPRVAD X-SAPR Velocity-Azimuth Display scan Active Dates 2010.12.14 - 2010.12.14 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Precipitation Radar (XSAPR) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Radar polarization copol_coeff Radar polarization diff_phase Radar polarization diff_reflectivity Radar polarization diff_reflectivity_corr Radar Doppler doppler_spectral_width Radar polarization dp_phase_shift

97

ARM - Datastreams - xsaprvpt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsxsaprvpt Datastreamsxsaprvpt Documentation Data Quality Plots Citation DOI: 10.5439/1025329 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSAPRVPT X-SAPR Vertical PoinTing scan Active Dates 2011.04.23 - 2014.01.02 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Precipitation Radar (XSAPR) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Radar polarization copol_coeff Radar polarization diff_phase Radar polarization diff_reflectivity Radar polarization diff_reflectivity_corr Radar Doppler doppler_spectral_width Radar polarization dp_phase_shift

98

ARM TR-008  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ARM-TR-073 ARM-TR-073 W-band ARM Cloud Radar (WACR) Handbook April 2006 K. B. Widener K. Johnson Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research April 2006, ARM TR-073 Contents 1 General Overview ............................................................................................................................... 1 2 Contacts............................................................................................................................................... 1 3 Deployment Locations and History..................................................................................................... 2 4 Near-Real-Time Data Plots .................................................................................................................

99

On the Feasibility of Precisely Measuring the Properties of a Precipitating Cloud with a Weather Radar  

E-Print Network [OSTI]

In this paper the results of an investigation are presented that are concerned with the feasibility of employing a weather radar to make precise measurements of the properties of a precipitating cloud. A schematic cloud is proposed as a model...

Runnels, R.C.

100

ARM's efforts to address the need for 3D cloud and precipitation...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Pavlos Kollias ARM's efforts to address the need for 3D cloud and precipitation measurements ARM will get into 3D measurements, stop explaining why The ARRA arrived at the doorstep...

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

The Status of the ACRF Millimeter Wave Cloud Radars (MMCRs), the Path Forward for Future MMCR Upgrades, the Concept of 3D Volume Imaging Radar and the UAV Radar  

SciTech Connect (OSTI)

The United States (U.S.) Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) operates millimeter wavelength cloud radars (MMCRs) in several climatological regimes. The MMCRs, are the primary observing tool for quantifying the properties of nearly all radiatively important clouds over the ACRF sites. The first MMCR was installed at the ACRF Southern Great Plains (SGP) site nine years ago and its original design can be traced to the early 90s. Since then, several MMCRs have been deployed at the ACRF sites, while no significant hardware upgrades have been performed. Recently, a two-stage upgrade (first C-40 Digital Signal Processors [DSP]-based, and later the PC-Integrated Radar AcQuisition System [PIRAQ-III] digital receiver) of the MMCR signal-processing units was completed. Our future MMCR related goals are: 1) to have a cloud radar system that continues to have high reliability and uptime and 2) to suggest potential improvements that will address increased sensitivity needs, superior sampling and low cost maintenance of the MMCRs. The Traveling Wave Tube (TWT) technology, the frequency (35-GHz), the radio frequency (RF) layout, antenna, the calibration and radar control procedure and the environmental enclosure of the MMCR remain assets for our ability to detect the profile of hydrometeors at all heights in the troposphere at the ACRF sites.

P Kollias; MA Miller; KB Widener; RT Marchand; TP Ackerman

2005-12-30T23:59:59.000Z

102

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Upgrade to Millimeter Wave Cloud Radar Increases Volume of Data Collection Upgrade to Millimeter Wave Cloud Radar Increases Volume of Data Collection Bookmark and Share In mid-April, hardware and software upgrades to the millimeter wave cloud radar (MMCR) at the ARM Climate Research Facility's North Slope of Alaska (NSA) were completed. Hardware upgrades included replacing the OS/2 and Solaris computers with two Windows 2000 computers. One of these computers is for the MMCR radar. It now has a new digital signal processing board that allows much more efficient processing of the radar return signals, resulting in higher temporal resolution. The receiver was also upgraded from a 12 bit to 14 bit analog-to-digital converter. Software on the MMCR radar computer was upgraded to run a modified version of Vaisala's LAP-XM software for controlling and acquiring the radar data. The other computer,

103

ARM - Field Campaign - Midlatitude Continental Convective Clouds Experiment  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Experiment Experiment (MC3E): Multi-Frequency Profilers Related Campaigns Midlatitude Continental Convective Clouds Experiment (MC3E) 2011.04.22, Jensen, SGP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers 2011.04.22 - 2011.06.06 Lead Scientist : Christopher Williams For data sets, see below. Description The scientific focus was to study the vertical structure of precipitation in a vertical column over the SGP Central Facility. These multi-frequency profiler observations enabled directly measuring the vertical air motion and retrieving the raindrop size distributions from near the surface to just under the freezing level. These profilers were deployed during MC3E

104

STUDY OF CLOUD LIFETIME EFFECTS USING THE SGP HETEROGENEOUS DISTRIBUTED RADAR NETWORK: PRELIMINARY CONSIDERATIONS  

E-Print Network [OSTI]

STUDY OF CLOUD LIFETIME EFFECTS USING THE SGP HETEROGENEOUS DISTRIBUTED RADAR NETWORK: PRELIMINARY-dimensional morphology and life cycle of clouds. Detailing key cloud processes as they transit from the formation stage to precipitation onset and cloud dissipation is critical towards establishing uncertainties in climate models

105

ARM - Datastreams - kasacrslr  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamskasacrslr Datastreamskasacrslr Documentation Data Quality Plots Citation DOI: 10.5439/1046200 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KASACRSLR Ka-Band Scanning ARM Cloud Radar (KASACR) Side-Looking Radar Active Dates 2011.12.09 - 2013.05.21 Measurement Categories Cloud Properties Originating Instrument Ka-Band Scanning ARM Cloud Radar (KASACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

106

ARM - Datastreams - wacrspeccmaskcopol  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamswacrspeccmaskcopol Datastreamswacrspeccmaskcopol Documentation Data Quality Plots Citation DOI: 10.5439/1025318 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : WACRSPECCMASKCOPOL W-band (95 GHz) ARM Cloud Radar, filtered spectral data, co-polarized mode Active Dates 2006.03.24 - 2013.06.14 Measurement Categories Cloud Properties Originating Instrument W-Band (95 GHz) ARM Cloud Radar (WACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Locator Mask for Spectra unitless LocatorMask ( time, heights ) Radar Doppler Mean Doppler Velocity m/s MeanDopplerVelocity ( time, heights )

107

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

New Data Stream Available from Millimeter Wave Cloud Radar New Data Stream Available from Millimeter Wave Cloud Radar Bookmark and Share Inside the instrument shelter, the MMCR data system collects radar spectral data and processes these into reflectivity, vertical velocities, and spectral width. Inside the instrument shelter, the MMCR data system collects radar spectral data and processes these into reflectivity, vertical velocities, and spectral width. As a result of upgrades to the Millimeter Wave Cloud Radar (MMCR) processors (see http://www.arm.gov/acrf/updates051504.stm#nsammcr) at the ARM Climate Research Facility Southern Great Plains (SGP) and North Slope of Alaska (NSA) locales, two MMCR data streams-mmcrcalC1.a1 (calibration data) and mmcrmomentsC1.a1 (spectral "moments" data)-have been combined

108

Polarimetric Radar Observation Operator for a Cloud Model with Spectral Microphysics  

E-Print Network [OSTI]

-proven advantages such as hydro- meteor classification and improvement in radar data quality and rainfall modeling via improvement of micro- physical parameterization and direct assimilation of polarimetric radar the output of numerical cloud models was pioneered using the models with bulk parameterization of cloud micro

Mark, Pinsky

109

A Comparison of Simulated Cloud Radar Output from the Multiscale Modeling Framework Global Climate Model with CloudSat Cloud Radar Observations  

SciTech Connect (OSTI)

Over the last few years a new type of global climate model (GCM) has emerged in which a cloud-resolving model is embedded into each grid cell of a GCM. This new approach is frequently called a multiscale modeling framework (MMF) or superparameterization. In this article we present a comparison of MMF output with radar observations from the NASA CloudSat mission, which uses a near-nadir-pointing millimeter-wavelength radar to probe the vertical structure of clouds and precipitation. We account for radar detection limits by simulating the 94 GHz radar reflectivity that CloudSat would observe from the high-resolution cloud-resolving model output produced by the MMF. Overall, the MMF does a good job of reproducing the broad pattern of tropical convergence zones, subtropical belts, and midlatitude storm tracks, as well as their changes in position with the annual solar cycle. Nonetheless, the comparison also reveals a number of model shortfalls including (1) excessive hydrometeor coverage at all altitudes over many convectively active regions, (2) a lack of low-level hydrometeors over all subtropical oceanic basins, (3) excessive low-level hydrometeor coverage (principally precipitating hydrometeors) in the midlatitude storm tracks of both hemispheres during the summer season (in each hemisphere), and (4) a thin band of low-level hydrometeors in the Southern Hemisphere of the central (and at times eastern and western) Pacific in the MMF, which is not observed by CloudSat. This band resembles a second much weaker ITCZ but is restricted to low levels.

Marchand, Roger T.; Haynes, J. M.; Mace, Gerald G.; Ackerman, Thomas P.; Stephens, Graeme L.

2009-01-13T23:59:59.000Z

110

ARM KAZR-ARSCL Value Added Product  

SciTech Connect (OSTI)

The Ka-band ARM Zenith Radars (KAZRs) have replaced the long-serving Millimeter Cloud Radars, or MMCRs. Accordingly, the primary MMCR Value Added Product (VAP), the Active Remote Sensing of CLouds (ARSCL) product, is being replaced by a KAZR-based version, the KAZR-ARSCL VAP. KAZR-ARSCL provides cloud boundaries and best-estimate time-height fields of radar moments.

Michael Jensen

2012-09-28T23:59:59.000Z

111

ARM - Evaluation Product - Cloud and Vertical Velocity Statistics...  

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dlprofwstats1newsom.c1 Directory Organization subdirectories Citations ARM Doppler Lidar Handbook, DOESC-ARM-TR-101, http:www.arm.govpublicationstechreportshandbooks...

112

Using ARM data to correct plane-parallel satellite retrievals of cloud  

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Using ARM data to correct plane-parallel satellite retrievals of cloud Using ARM data to correct plane-parallel satellite retrievals of cloud properties Dong, Xiquan University of North Dakota Minnis, Patrick NASA Langley Research Center Xi, Baike University of North Dakota Khaiyer, Mandana Analytical Services and Material, Inc. Category: Cloud Properties The angular variations of cloud properties derived from GOES data are examined using simultaneously collocated ARM surface observations/retrievals at the DOE ARM SGP site during the 6-yr period from January 1997 to December 2002. The dependencies of GOES cloud retrievals on solar zenith angle (SZA), scattering angle (SCA), and relative azimuth angle (RZA) are investigated for single-layer and overcast low-level stratus clouds. The GOES-retrieved cloud-droplet effective radius (re),

113

ARM - Field Campaign - MASRAD: Cloud Study from the 2NFOV at Pt. Reyes  

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govCampaignsMASRAD: Cloud Study from the 2NFOV at Pt. Reyes Field govCampaignsMASRAD: Cloud Study from the 2NFOV at Pt. Reyes Field Campaign Campaign Links AMF Point Reyes Website Related Campaigns MArine Stratus Radiation Aerosol and Drizzle (MASRAD) IOP 2005.03.14, Miller, AMF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : MASRAD: Cloud Study from the 2NFOV at Pt. Reyes Field Campaign 2005.06.02 - 2005.09.30 Lead Scientist : Warren Wiscombe For data sets, see below. Description Cloud optical depth is one of the most important cloud optical properties, and vital for any cloud-radiation parameterization. Our ARM Science Team project has pioneered an algorithm to retrieve cloud optical depth in a fully three-dimensional cloud situation using zenith radiances from the ARM

114

Ice Concentration Retrieval in Stratiform Mixed-Phase Clouds Using Cloud Radar Reflectivity Measurements and 1D Ice Growth Model Simulations  

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Measurements of ice number concentration in clouds are important but still pose problems. The pattern of ice development in stratiform mixed-phase clouds (SMCs) offers an opportunity to use cloud radar reflectivity (Ze) measurements and other ...

Damao Zhang; Zhien Wang; Andrew Heymsfield; Jiwen Fan; Tao Luo

2014-10-01T23:59:59.000Z

115

DOE/SC-ARM-12-009 ARM Radar Organization JW Voyles  

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designed to improve the understanding and representation, in climate and earth system models, of clouds and aerosols as well as their interactions and coupling with the...

116

Use of the ARM Measurements of Spectral Zenith Radiance for Better Understanding of 3D Cloud-Radiation Processes & Aerosol-Cloud Interaction  

SciTech Connect (OSTI)

This project focuses on cloud-radiation processes in a general three-dimensional cloud situation, with particular emphasis on cloud optical depth and effective particle size. The proposal has two main parts. Part one exploits the large number of new wavelengths offered by the Atmospheric Radiation Measurement (ARM) zenith-pointing ShortWave Spectrometer (SWS), to develop better retrievals not only of cloud optical depth but also of cloud particle size. We also take advantage of the SWS high sampling resolution to study the twilight zone around clouds where strong aerosol-cloud interactions are taking place. Part two involves continuing our cloud optical depth and cloud fraction retrieval research with ARMs 2-channel narrow vield-of-view radiometer and sunphotometer instrument by, first, analyzing its data from the ARM Mobile Facility deployments, and second, making our algorithms part of ARMs operational data processing.

Chiu, Jui-Yuan Christine [University of Reading] [University of Reading

2014-04-10T23:59:59.000Z

117

ARM STM Plenary: CS Report  

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8 8 ARM Science Team Meeting 2008 Warren Wiscombe ARM Chief Scientist Brookhaven National Lab Mar 2008 ARM Plenary 2 ARM Chief Scientist Team ARM Chief Scientist Team Ric Cederwall Andy Vogelmann Sharon Zuhoski Yangang Liu Pavlos Kollias Mar 2008 ARM Plenary 3 Submit your... Submit your... science highlights (www.arm.gov) poster PDFs (esp if you win CS Design Award) feedback in text boxes on ARM web pages Also... vote for People's Choice Poster talk to our Thu morning speakers Mar 2008 ARM Plenary 4 Mar 2008 ARM Plenary 5 Existing Existing * CLOWD (Clouds with Low Optical Depth) * BBHRP (BroadBand Heating Rate Profile) * Radar Focus Groups Focus Groups New New * Vertical Velocity for Climate Modelers * Longwave/Microwave * Surface Fluxes Mar 2008 ARM Plenary 6 ARM ARM ' ' s s two fundamental science questions

118

ARM - Facility News Article  

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January 3, 2011 [Facility News] January 3, 2011 [Facility News] Cloud Radar Overhauled and Renamed Bookmark and Share The KAZR (left) is being tested with a 2-meter antenna used with MMCRs at other ARM sites. This pre-operational test will help uncover any data anomalies prior to the KAZR being installed in its new home in the shelter on the right when it replaces the MMCR. The KAZR (left) is being tested with a 2-meter antenna used with MMCRs at other ARM sites. This pre-operational test will help uncover any data anomalies prior to the KAZR being installed in its new home in the shelter on the right when it replaces the MMCR. In mid-December 2010, a new Ka-band ARM zenith radar (KAZR) began a two-week pre-operational test alongside the ARM millimeter wavelength cloud radar (MMCR) at the Southern Great Plains site. This ushers in a new era

119

ARM - Facility News Article  

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December 15, 2007 [Facility News] December 15, 2007 [Facility News] Radar Antenna Replacement Effort Begins at Barrow Bookmark and Share On November 28, 2007, ARM operations and engineering staff braved -15°F weather to install the new radar antenna at Barrow. After lifting the antenna via crane onto the roof of the skydeck, the gloves had to come off to securely fasten all the tiny connecting screws and bolts-brrrrr! On November 28, 2007, ARM operations and engineering staff braved -15°F weather to install the new radar antenna at Barrow. After lifting the antenna via crane onto the roof of the skydeck, the gloves had to come off to securely fasten all the tiny connecting screws and bolts-brrrrr! For estimates of cloud boundaries, there is no better capability than the millimeter wave cloud radar (MMCR). This sophisticated radar is part of the

120

ARM - Datastreams - kazrge  

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Datastreamskazrge Datastreamskazrge Documentation Data Quality Plots Citation DOI: 10.5439/1025214 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KAZRGE Ka ARM Zenith Radar (KAZR): general mode Active Dates 2011.01.18 - 2014.01.09 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Ka ARM Zenith Radar (KAZR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Radar calibration constant, copolar dB cal_constant_copol ( time ) Radar calibration constant, cross-polar dB cal_constant_xpol ( time )

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

DOE/SC-ARM-TR-099 ARM Cloud Retrieval Ensemble Data Set  

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099 099 ARM Cloud Retrieval Ensemble Data Set (ACRED) C Zhao MP Jensen S Xie GG Mace SA Klein SA McFarlane R McCoy EJ O'Connor JM Comstock A Protat J Delanoë MD Shupe M Deng D Turner M Dunn Z Wang RJ Hogan September 2011 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not

122

ARM - Datastreams - xsacrvpt  

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Datastreamsxsacrvpt Datastreamsxsacrvpt Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSACRVPT X-Band Scanning ARM Cloud Radar (XSACR) Vertically Pointing Scan Active Dates 2011.09.14 - 2013.07.29 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Cloud Radar (XSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time ) Azimuth angle from true north degrees azimuth ( time )

123

ARM - Datastreams - wsacrvpt  

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Datastreamswsacrvpt Datastreamswsacrvpt Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : WSACRVPT W-Band Scanning ARM Cloud Radar (W-SACR) Vertically Pointing Scan Active Dates 2011.04.20 - 2013.12.14 Measurement Categories Cloud Properties Originating Instrument Scanning ARM Cloud Radar, tuned to W-Band (95GHz) (WSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

124

ARM - Datastreams - xsacrrhi  

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Datastreamsxsacrrhi Datastreamsxsacrrhi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSACRRHI X-Band Scanning ARM Cloud Radar (XSACR) RHI Scans, which can vary in elevation range and azimuth Active Dates 2011.10.15 - 2011.10.20 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Cloud Radar (XSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

125

ARM - Datastreams - kasacrawrhi  

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Datastreamskasacrawrhi Datastreamskasacrawrhi Documentation Data Quality Plots Citation DOI: 10.5439/1046193 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KASACRAWRHI Ka-Band Scanning ARM Cloud Radar (KASACR) Along-Wind RHI Scan Active Dates 2011.05.26 - 2013.12.09 Measurement Categories Cloud Properties Originating Instrument Ka-Band Scanning ARM Cloud Radar (KASACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

126

ARM - Datastreams - wsacrppi  

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Datastreamswsacrppi Datastreamswsacrppi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : WSACRPPI W-Band Scanning ARM Cloud Radar (W-SACR) PPI Scan Active Dates 2011.05.24 - 2013.12.10 Measurement Categories Cloud Properties Originating Instrument Scanning ARM Cloud Radar, tuned to W-Band (95GHz) (WSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time ) Azimuth angle from true north degrees azimuth ( time )

127

ARM - Datastreams - xsacrblrhi  

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Datastreamsxsacrblrhi Datastreamsxsacrblrhi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSACRBLRHI X-Band Scanning ARM Cloud Radar (XSACR) Boundary Layer RHI Scan Active Dates 2011.09.14 - 2011.10.20 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Cloud Radar (XSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time ) Azimuth angle from true north degrees azimuth ( time )

128

ARM - Datastreams - kasacrblrhi  

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Datastreamskasacrblrhi Datastreamskasacrblrhi Documentation Data Quality Plots Citation DOI: 10.5439/1046194 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KASACRBLRHI Ka-Band Scanning ARM Cloud Radar (KASACR) Boundary Layer RHI Scan Active Dates 2011.05.24 - 2013.12.14 Measurement Categories Cloud Properties Originating Instrument Ka-Band Scanning ARM Cloud Radar (KASACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

129

ARM - Datastreams - xsacrhsrhi  

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Datastreamsxsacrhsrhi Datastreamsxsacrhsrhi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSACRHSRHI X-Band Scanning ARM Cloud Radar (XSACR) Hemispherical Sky RHI Scans (6 horizon-to-horizon scans at 30-degree azimuth intervals) Active Dates 2011.09.14 - 2013.05.31 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Cloud Radar (XSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

130

ARM - Datastreams - wsacrcrrhi  

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Datastreamswsacrcrrhi Datastreamswsacrcrrhi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : WSACRCRRHI W-Band Scanning ARM Cloud Radar (W-SACR) Corner Reflector RHI scan Active Dates 2011.12.15 - 2011.12.15 Measurement Categories Cloud Properties Originating Instrument Scanning ARM Cloud Radar, tuned to W-Band (95GHz) (WSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

131

ARM - Datastreams - mwacr  

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Datastreamsmwacr Datastreamsmwacr Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MWACR Marine W-band (95 GHz) ARM Cloud Radar Active Dates 2012.11.01 - 2013.10.09 Measurement Categories Cloud Properties Originating Instrument Marine W-Band (95 GHz) ARM Cloud Radar (MWACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Receiver gain estimated from noise source measurements using Y-factor method dB gain ( time ) GPS-determined velocity vector heading angle deg gps_heading ( time )

132

ARM - Datastreams - xsacrawrhi  

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Datastreamsxsacrawrhi Datastreamsxsacrawrhi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSACRAWRHI X-Band Scanning ARM Cloud Radar (XSACR) Along-Wind RHI Scan Active Dates 2011.09.14 - 2012.10.21 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Cloud Radar (XSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time ) Azimuth angle from true north degrees azimuth ( time )

133

ARM - Datastreams - kasacrcrraster  

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Datastreamskasacrcrraster Datastreamskasacrcrraster Documentation Data Quality Plots Citation DOI: 10.5439/1095596 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KASACRCRRASTER Ka-Band Scanning ARM Cloud Radar (KASACR) Corner Reflector Raster Scan Active Dates 2013.02.01 - 2013.11.27 Measurement Categories Cloud Properties Originating Instrument Ka-Band Scanning ARM Cloud Radar (KASACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

134

ARM - Datastreams - kasacrvpt  

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Datastreamskasacrvpt Datastreamskasacrvpt Documentation Data Quality Plots Citation DOI: 10.5439/1046201 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KASACRVPT Ka-Band Scanning ARM Cloud Radar (KASACR) Vertically Pointing Scan Active Dates 2011.04.29 - 2013.12.14 Measurement Categories Cloud Properties Originating Instrument Ka-Band Scanning ARM Cloud Radar (KASACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

135

ARM - Datastreams - kasacrcwrhi  

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Datastreamskasacrcwrhi Datastreamskasacrcwrhi Documentation Data Quality Plots Citation DOI: 10.5439/1046196 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KASACRCWRHI Ka-Band Scanning ARM Cloud Radar (KASACR) Cross-Wind RHI Scan Active Dates 2011.05.05 - 2013.12.14 Measurement Categories Cloud Properties Originating Instrument Ka-Band Scanning ARM Cloud Radar (KASACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

136

ARM - Instrument - swacr  

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govInstrumentsswacr govInstrumentsswacr Documentation SWACR : Instrument Mentor Monthly Summary (IMMS) reports SWACR : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : W-Band (95 GHz) ARM Cloud Radar, mounted to scan (SWACR) Instrument Categories Cloud Properties Output Datastreams swacrblrhi : S-WACR Boundary-layer Range-Height Indicator scan swacrcal : S-WACR calibration information swacrcwrhi : S-WACR Cross-Wind Range-Height Indicator scan swacrfpt : S-WACR - Fixed PoinTing mode swacrhsrhi : S-WACR Horizon-to-horizon Range-Height Indicator scan swacrppi : S-WACR Plan Position Indicator scan swacrspeccmaskcopol : S-WACR ARM Cloud Radar, filtered spectral

137

ARM - Datastreams - xsacrcwrhi  

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Datastreamsxsacrcwrhi Datastreamsxsacrcwrhi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : XSACRCWRHI X-Band Scanning ARM Cloud Radar (XSACR) Cross-Wind RHI Scan Active Dates 2011.09.14 - 2012.10.21 Measurement Categories Cloud Properties Originating Instrument X-Band Scanning ARM Cloud Radar (XSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time ) Azimuth angle from true north degree azimuth ( time )

138

ARM - Datastreams - wsacrcrraster  

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Datastreamswsacrcrraster Datastreamswsacrcrraster Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : WSACRCRRASTER W-Band Scanning ARM Cloud Radar (W-SACR) Corner Reflector Raster Scan Active Dates 2013.02.01 - 2013.11.27 Measurement Categories Cloud Properties Originating Instrument Scanning ARM Cloud Radar, tuned to W-Band (95GHz) (WSACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

139

ARM - Datastreams - kasacrppi  

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Datastreamskasacrppi Datastreamskasacrppi Documentation Data Quality Plots Citation DOI: 10.5439/1046198 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KASACRPPI Ka-Band Scanning ARM Cloud Radar (KASACR) PPI Active Dates 2011.05.24 - 2013.12.14 Measurement Categories Cloud Properties Originating Instrument Ka-Band Scanning ARM Cloud Radar (KASACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Altitude m altitude Altitude above ground level m altitude_agl Antenna transition indicator, 1 if between sweeps, otherwise 0 unitless antenna_transition ( time )

140

Simultaneous radar and lidar cloud measurements at Geesthacht (53.5N, 10.5E)  

Science Journals Connector (OSTI)

Comparisons have been made of the cloud profiles obtained from the backscatter signals of a 95-GHz radar and a 720-nm lidar system between 23 May and 4 November 1997 at Geesthacht (5324? N, 1026? E). Although the wavelengths of the two systems differ by a factor of 4 000, remarkably similar data have been obtained in many cases. There are differences, though. Small droplets do not interact significantly with the radar pulses, and hence can only be seen by the lidar due to their strong scattering in the UV/VIS. On the other hand, attenuation of the lidar pulses by underlying clouds and gas absorbers makes upper cloud regions and especially cloud top heights better detectable for the radar. Rain and snow falling out of a cloud and evaporating on the way down cannot be distinguished from the cloud region by the radar, but a fast downward component in the Doppler spectrum is indicative of precipitation in or under a cloud. For quantitative cloud studies collocated radar-lidar systems considerably add to the experimental capabilities of each of the two systems alone.

C. Weitkamp; H. Flint; W. Lahmann; F.A. Theopold; O. Danne; M. Quante; E. Raschke

1999-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

ARM - Facility News Article  

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7, 2009 [Facility News] 7, 2009 [Facility News] Town Hall Meeting at AGU 2009 Fall Meeting Bookmark and Share ARM Climate Research Facility - New Measurement Capabilities for Climate Research Thursday, December 17, 6:15-7:15 pm, Moscone West Room 2002 American Recovery and Reinvestment Act American Recovery and Reinvestment Act Scientists from around the world use data from the ARM Climate Research Facility to study the interactions between clouds, aerosol and radiation. Through the American Recovery and Reinvestment Act of 2009, the DOE Office of Science received $1.2 billion, with $60 million allocated to the ARM Climate Research Facility. With these funds, ARM will purchase and deploy dual-frequency scanning cloud radars to all the ARM sites, enhance several sites with precipitation radars and energy flux measurement capabilities,

142

Evaluation of Long-Term Cloud-Resolving Modeling with ARM Data  

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Evaluation of Long-Term Cloud-Resolving Modeling with ARM Data Zeng, Xiping NASAGSFC Tao, Wei-Kuo NASAGoddard Space Flight Center Zhang, Minghua State University of New York at...

143

Month-Long 2D Cloud-Resolving Model Simulation and Resultant Statistics of Cloud Systems Over the ARM SGP  

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Month-Long 2D Cloud-Resolving Model Simulation Month-Long 2D Cloud-Resolving Model Simulation and Resultant Statistics of Cloud Systems Over the ARM SGP X. Wu Department of Geological and Atmospheric Sciences Iowa State University Ames, Iowa X.-Z. Liang Illinois State Water Survey University of Illinois Urbana-Champaign, Illinois Introduction The cloud-resolving model (CRM) has recently emerged as a useful tool to develop improved representations of convections, clouds, and cloud-radiation interactions in general circulation models (GCMs). In particular, the fine spatial resolution allows the CRM to more realistically represent the detailed structure of cloud systems, including cloud geometric and radiative properties. The CRM simulations thus provide unique and comprehensive datasets, based on which more realistic GCM

144

ARM - Midlatitude Continental Convective Clouds (jensen-sonde)  

SciTech Connect (OSTI)

A major component of the Mid-latitude Continental Convective Clouds Experiment (MC3E) field campaign was the deployment of an enhanced radiosonde array designed to capture the vertical profile of atmospheric state variables (pressure, temperature, humidity wind speed and wind direction) for the purpose of deriving the large-scale forcing for use in modeling studies. The radiosonde array included six sites (enhanced Central Facility [CF-1] plus five new sites) launching radiosondes at 3-6 hour sampling intervals. The network will cover an area of approximately (300)2 km2 with five outer sounding launch sites and one central launch location. The five outer sounding launch sites are: S01 Pratt, KS [ 37.7oN, 98.75oW]; S02 Chanute, KS [37.674, 95.488]; S03 Vici, Oklahoma [36.071, -99.204]; S04 Morris, Oklahoma [35.687, -95.856]; and S05 Purcell, Oklahoma [34.985, -97.522]. Soundings from the SGP Central Facility during MC3E can be retrieved from the regular ARM archive. During routine MC3E operations 4 radiosondes were launched from each of these sites (approx. 0130, 0730, 1330 and 1930 UTC). On days that were forecast to be convective up to four additional launches were launched at each site (approx. 0430, 1030, 1630, 2230 UTC). There were a total of approximately 14 of these high frequency launch days over the course of the experiment.

Jensen, Mike; Comstock, Jennifer; Genio, Anthony Del; Giangrande, Scott; Kollias, Pavlos

2012-01-19T23:59:59.000Z

145

Understanding and Improving CRM and GCM Simulations of Cloud Systems with ARM Observations  

SciTech Connect (OSTI)

The works supported by this ASR project lay the solid foundation for improving the parameterization of convection and clouds in the NCAR CCSM and the climate simulations. We have made a significant use of CRM simulations and ARM observations to produce thermodynamically and dynamically consistent multi-year cloud and radiative properties; improve the GCM simulations of convection, clouds and radiative heating rate and fluxes using the ARM observations and CRM simulations; and understand the seasonal and annual variation of cloud systems and their impacts on climate mean state and variability. We conducted multi-year simulations over the ARM SGP site using the CRM with multi-year ARM forcing data. The statistics of cloud and radiative properties from the long-term CRM simulations were compared and validated with the ARM measurements and value added products (VAP). We evaluated the multi-year climate simulations produced by the GCM with the modified convection scheme. We used multi-year ARM observations and CRM simulations to validate and further improve the trigger condition and revised closure assumption in NCAR GCM simulations that demonstrate the improvement of climate mean state and variability. We combined the improved convection scheme with the mosaic treatment of subgrid cloud distributions in the radiation scheme of the GCM. The mosaic treatment of cloud distributions has been implemented in the GCM with the original convection scheme and enables the use of more realistic cloud amounts as well as cloud water contents in producing net radiative fluxes closer to observations. A physics-based latent heat (LH) retrieval algorithm was developed by parameterizing the physical linkages of observed hydrometeor profiles of cloud and precipitation to the major processes related to the phase change of atmospheric water.

Wu, Xiaoqing

2014-02-25T23:59:59.000Z

146

ARM - Field Campaign - Azores: Above-Cloud Radiation Budget near Graciosa  

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Above-Cloud Radiation Budget near Graciosa Island Above-Cloud Radiation Budget near Graciosa Island Related Campaigns Azores: Clouds, Aerosol and Precipitation in the Marine Boundary Layer (CAP-MBL) 2009.05.01, Wood, AMF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Azores: Above-Cloud Radiation Budget near Graciosa Island 2010.04.15 - 2010.09.15 Lead Scientist : Mark Miller For data sets, see below. Description The scientific focus is to measure the cloud-top downwelling radiative fluxes in coincidence with trace gas measurements made at Pico Observatory, Pico Island Azores. To enhance measurement capabilities in the vicinity of Graciosa and to take advantage of a unique opportunity to measure cloud transmittance in the marine, instruments associated with the ARM Ancillary

147

ARM - Publications: Science Team Meeting Documents  

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A Compact Millimeter-Wave Radar for UAV Applications A Compact Millimeter-Wave Radar for UAV Applications Bambha, R., Carswell, J., and Swift, C., University of Massachusetts Ninth Atmospheric Radiation Measurement (ARM) Science Team Meeting Assembly of the Compact Millimeter-wave Radar (CMR) has been completed at the University of Massachusetts, and ground-based cloud measurements have been acquired. The CMR is a 95-GHz solid-state radar intended for airborne cloud measurements. Funding for the project was provided by the Atmospheric Radiation Measurement-Unmanned Aerospace Vehicle (ARM-UAV) program with the eventual goal of developing a radar capable of operating on the Altus UAV. Simultaneous measurements made by CMR and the Cloud Profiling Radar System (CPRS) have been made to evaluate CMR's performance. CPRS is a larger

148

ARM -  

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Center Blog Center Blog Media Contact Lynne Roeder lynne-dot-roeder-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes89 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 BAECC 1 BBOP 4 MAGIC 12 MC3E 17 SGP 2 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance AMF2 Arrives in Finland Jan 02, 2014 [ ARM Mobile Facility 2, BAECC, Blog, Field Notes ] After nine months at sea aboard the Horizon Spirit, the AMF2 reached land for an extended stay at the Station for Measuring Forest Ecosystem-Atmosphere Relations (SMEAR II) in Hyytiala, Finland. This nine-month, land-based deployment is in support of the Biogenic Aerosols-Effects on Clouds and Climate (BAECC) project. The deployment begins February 1, 2014, and [...]

149

ARM - Datastreams - kazrmd  

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Datastreamskazrmd Datastreamskazrmd Documentation Data Quality Plots Citation DOI: 10.5439/1095601 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KAZRMD Ka ARM Zenith Radar (KAZR): moderate sensitivity mode Active Dates 2011.05.03 - 2014.01.09 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Ka ARM Zenith Radar (KAZR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Radar calibration constant, copolar dB cal_constant_copol ( time )

150

ARM - Field Campaign - Macquarie Island Cloud and Radiation Experiment...  

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Cloud and Radiation Experiment (MICRE) 2016.03.01 - 2018.03.31 Lead Scientist : Roger Marchand Abstract Clouds over the Southern Ocean are poorly represented in present day...

151

ARM - Evaluation Product - KAZR and MWACR Ship Motion Corrections  

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ProductsKAZR and MWACR Ship Motion Corrections ProductsKAZR and MWACR Ship Motion Corrections Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : KAZR and MWACR Ship Motion Corrections 2012.09.22 - 2013.01.08 Site(s) MAG General Description The second ARM mobile facility has been configured to take advantage of ship-board deployments. At issue is how the motion at sea during these deployments affects the vertically-pointing cloud radars. Two radars of this type - the Ka-band ARM Zenith Radar (KAZR) and the Marine W-band ARM Cloud Radar (MWACR) - are instruments used in ARM's first ship-based field campaign. Each of these radars requires post-processing to account for the ship's motion across the open ocean. The primary adjustments that must be

152

Preliminary Studies on the Variational Assimilation of Cloud-Radiation Observations Using ARM Observations  

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Studies on the Variational Assimilation Studies on the Variational Assimilation of Cloud-Radiation Observations Using ARM Observations M. Janisková, J.-F. Mahfouf, and J.-J. Morcrette European Centre for Medium-Range Weather Forecasts Shinfield Park, Reading Berskshire, United Kingdom Abstract A linearized cloud scheme and a radiation scheme including cloud effects have been developed at European Centre for Medium-Range Weather Forecasts (ECMWF) to assimilate cloud properties in the framework of the four-dimensional variational (4D-Var) assimilation system. To investigate the potential of those schemes to modify the model temperature, humidity and cloud profiles and produce a better match to the observed radiation fluxes, one-dimensional variational (1D-Var) assimilation experiments have been carried out using data from the Atmospheric Radiation Measurement (ARM)

153

Toward Understanding of Differences in Current Cloud Retrievals of ARM Ground-based Measurements  

SciTech Connect (OSTI)

Accurate observations of cloud microphysical properties are needed for evaluating and improving the representation of cloud processes in climate models. However, large differences are found in current cloud products retrieved from ground-based remote sensing measurements using various retrieval algorithms. Understanding the differences is an important step to address uncertainties in the cloud retrievals. In this study, an in-depth analysis of nine existing ground-based cloud retrievals using ARM remote sensing measurements is carried out. We place emphasize on boundary layer overcast clouds and high level ice clouds, which are the focus of many current retrieval development efforts due to their radiative importance and relatively simple structure. Large systematic discrepancies in cloud microphysical properties are found in these two types of clouds among the nine cloud retrieval products, particularly for the cloud liquid and ice effective radius. It is shown that most of these large differences have their roots in the retrieval algorithms used by these cloud products, including the retrieval theoretical bases, assumptions, as well as input and constraint parameters. This study suggests the need to further validate current retrieval theories and assumptions and even the development of new retrieval algorithms with more observations under different cloud regimes.

Zhao, Chuanfeng; Xie, Shaocheng; Klein, Stephen A.; Protat, Alain; Shupe, Matthew D.; McFarlane, Sally A.; Comstock, Jennifer M.; Delanoe, Julien; Deng, Min; Dunn, Maureen; Hogan, Robin; Huang, Dong; Jensen, Michael; Mace, Gerald G.; McCoy, Renata; O'Conner, Ewan J.; Turner, Dave; Wang, Zhien

2012-05-30T23:59:59.000Z

154

ARM - Field Campaign - Ground-based Cloud Tomography Experiment at SGP  

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govCampaignsGround-based Cloud Tomography Experiment at SGP govCampaignsGround-based Cloud Tomography Experiment at SGP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Ground-based Cloud Tomography Experiment at SGP 2009.05.26 - 2009.07.17 Lead Scientist : Dong Huang For data sets, see below. Description Knowledge of 3D cloud properties is pressingly needed in many research fields. One of the problems encountered when trying to represent 3D cloud fields in numerical models is that the existing techniques cannot provide necessary observations at the required spatial scale and resolution. We tested a new promising technique for measuring 3D cloud microphysical structure, called cloud microwave tomography, at the Southern Great Plains (SGP) site for one month in late April 2009. Five microwave scanning

155

ARM - Publications: Science Team Meeting Documents  

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Radar Observations of Large-Eddy Circulations and Turbulence in Boundary Radar Observations of Large-Eddy Circulations and Turbulence in Boundary Layer Clouds Albrecht, B.A. and Kollias, P., Umiversity of Miami Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting With the development and application of Doppler short wavelength radars, there has been an increased capability for explicitly resolving the vertical structure of boundary layer cloud circulations. Further, Doppler mm-wavelength radars used in a vertically pointing mode can provide information on the turbulence structure within the cloud volume sampled by the radar. Since these radar large eddy observations (LEO) are of the same resolution as that of Large Eddy Simulation models, they provide a means for explicitly evaluating LES (LEO for LES). Further the radar observations

156

ARM - Field Campaign - Biogenic Aerosols - Effects on Clouds...  

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(pressure temperature and relative humidity (RH)) to be obtained cost-effectively. Sensors developed at Reading include a supercooled liquid water sensor, an active cloud...

157

ARM - Evaluation Product - MWR Retrievals of Cloud Liquid Water and Water  

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ProductsMWR Retrievals of Cloud Liquid Water and ProductsMWR Retrievals of Cloud Liquid Water and Water Vapor Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : MWR Retrievals of Cloud Liquid Water and Water Vapor 2005.02.01 - 2011.04.25 Site(s) FKB GRW HFE NIM PYE SBS General Description A new algorithm is being developed for the ARM Program to derive liquid water path (LWP) and precipitable water vapor (PWV) from the 2-channel (23.8 and 31.4 GHz) microwave radiometers (MWRs) deployed at ARM climate research facilities. This algorithm utilizes the "monoRTM" radiative transfer model (http://rtweb.aer.com), a combination of both an advanced statistical and physical-iterative retrieval, and brightness temperature offsets applied before the retrieval is performed. This allows perhaps the

158

ARM - Feature Stories and Releases Article  

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28, 2011 [Feature Stories and Releases] 28, 2011 [Feature Stories and Releases] Storm Study in Oklahoma Records Extreme Weather Events Bookmark and Share During MC3E, convective clouds like these were measured by NASA research aircraft and numerous radars throughout the ARM Southern Great Plains site, including these radars at the SGP Central Facility. During MC3E, convective clouds like these were measured by NASA research aircraft and numerous radars throughout the ARM Southern Great Plains site, including these radars at the SGP Central Facility. On June 6 at 6:30 p.m., the last launch of more than 1400 weather balloons marked the end of field operations for the six-week Midlatitude Continental Convective Clouds Experiment, or MC3E, at the ARM Southern Great Plains site. Led by Mike Jensen, MC3E principal investigator from Brookhaven

159

Toward understanding of differences in current cloud retrievals of ARM ground-based measurements  

SciTech Connect (OSTI)

Accurate observations of cloud microphysical properties are needed for evaluating and improving the representation of cloud processes in climate models and better estimate of the Earth radiative budget. However, large differences are found in current cloud products retrieved from ground-based remote sensing measurements using various retrieval algorithms. Understanding the differences is an important step to address uncertainties in the cloud retrievals. In this study, an in-depth analysis of nine existing ground-based cloud retrievals using ARM remote sensing measurements is carried out. We place emphasis on boundary layer overcast clouds and high level ice clouds, which are the focus of many current retrieval development efforts due to their radiative importance and relatively simple structure. Large systematic discrepancies in cloud microphysical properties are found in these two types of clouds among the nine cloud retrieval products, particularly for the cloud liquid and ice particle effective radius. Note that the differences among some retrieval products are even larger than the prescribed uncertainties reported by the retrieval algorithm developers. It is shown that most of these large differences have their roots in the retrieval theoretical bases, assumptions, as well as input and constraint parameters. This study suggests the need to further validate current retrieval theories and assumptions and even the development of new retrieval algorithms with more observations under different cloud regimes.

Zhao C.; Dunn M.; Xie, S.; Klein, S. A.; Protat, A.; Shupe, M. D.; McFarlane, S. A.; Comstock, J. M.; Delano, J.; Deng, M.; Hogan, R. J.; Huang, D.; Jensen, M. P.; Mace, G. G.; McCoy, R.; OConnor, E. J.; Turner, D. D.; Wang, Z.

2012-05-30T23:59:59.000Z

160

ARM - Publications: Science Team Meeting Documents: Clouds and radiation in  

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Clouds and radiation in the Arctic coastal system - effects of local Clouds and radiation in the Arctic coastal system - effects of local heterogeneity Key, Erica University of Miami, RSMAS Minnett, Peter University of Miami Improving our comprehension of the influence of clouds in the polar regions is important as a prerequisite to refining our understanding of the earth's climate system. Polar clouds modulate the radiative heat loss to space in the regions that serve as the heat sink of the climate system. The local feedbacks between cloud formation and changing surface albedo that result from the ice melting and refreezing cycle, and the small space scales over which significant gradients occur, render this a very complex system to study. Difficulties in making appropriate measurements in the harsh Arctic environment lead to sparse, if not absent information on the

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161

Constructing a Merged Cloud-Precipitation Radar Dataset for Tropical Convective Clouds during the DYNAMO/AMIE Experiment at Addu Atoll  

SciTech Connect (OSTI)

To improve understanding of the convective processes key to the Madden-Julian-Oscillation (MJO) initiation, the Dynamics of the MJO (DYNAMO) and Atmospheric Radiation Measurement MJO Investigation Experiment (AMIE) collected four months of observations from three radars, the S-band Polarization Radar (S-Pol), the C-band Shared Mobile Atmospheric Research & Teaching Radar (SMART-R), and Ka-band Zenith Radar (KAZR) on Addu Atoll in the tropical Indian Ocean. This study compares the measurements from the S-Pol and SMART-R to those from the more sensitive KAZR in order to characterize the hydrometeor detection capabilities of the two scanning precipitation radars. Frequency comparisons for precipitating convective clouds and non-precipitating high clouds agree much better than non-precipitating low clouds for both scanning radars due to issues in ground clutter. On average, SMART-R underestimates convective and high cloud tops by 0.3 to 1.1 km, while S-Pol underestimates cloud tops by less than 0.4 km for these cloud types. S-Pol shows excellent dynamic range in detecting various types of clouds and therefore its data are well suited for characterizing the evolution of the 3D cloud structures, complementing the profiling KAZR measurements. For detecting non-precipitating low clouds and thin cirrus clouds, KAZR remains the most reliable instrument. However, KAZR is attenuated in heavy precipitation and underestimates cloud top height due to rainfall attenuation 4.3% of the time during DYNAMO/AMIE. An empirical method to correct the KAZR cloud top heights is described, and a merged radar dataset is produced to provide improved cloud boundary estimates, microphysics and radiative heating retrievals.

Feng, Zhe; McFarlane, Sally A.; Schumacher, Courtney; Ellis, Scott; Comstock, Jennifer M.; Bharadwaj, Nitin

2014-05-16T23:59:59.000Z

162

Derivation of Seasonal Cloud Properties at ARM-NSA from Multispectral MODIS Data  

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Derivation of Seasonal Cloud Properties at ARM-NSA Derivation of Seasonal Cloud Properties at ARM-NSA from Multispectral MODIS Data D. A. Spangenberg Analytical Services and Materials, Inc. Hampton, Virginia P. Minnis National Aeronautics and Space Administration Langley Research Center Hampton, Virginia T. Uttal National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado Q. Z. Trepte and S. S.-Mack Science Applications International Corporation Hampton, Virginia Introduction Improving climate model predictions over earth's Polar Regions requires a complete knowledge of polar cloud microphysics. Over the Arctic, there is minimal contrast between the clouds and background snow surface observed in satellite data, especially for visible wavelengths. This makes it difficult to

163

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Sizes, Fractional Coverage, and Radar Doppler Moments Profiles of Sizes, Fractional Coverage, and Radar Doppler Moments Profiles of Fair-Weather Cumulus Clouds at the TWP ARM Site Kollias, P., Albrecht B.A., and Dow B.J., University of Miami Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting Fair-weather cumuli are fundamental in regulating the vertical structure of water vapor and entropy in the lowest 2 km of the Earth's atmosphere over vast areas of the oceans. Using data from the mm-wavelength cloud radar, the micro-pulse lidar and ceilometer at the Nauru (TWP-ARM) site, a statistical description of the field of fair weather cumulus is inferred. Frequency diagrams of cloud thickness, fractional coverage, updraft-downdraft magnitudes and cloud reflectivity are calculated. The relationship of the statistical behavior of the cumulus field to the

164

DOE/SC-ARM-12-020 MAGIC: Marine ARM GPCI Investigation of Clouds  

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essential to have complementary observations from the surface, both in situ as well as remote sensed, such as surface fluxes (radiation, latent and sensible heat); cloud...

165

Evaluation of Cloud-Phase Retrieval Methods for SEVIRI on Meteosat-8 Using Ground-Based Lidar and Cloud Radar Data  

E-Print Network [OSTI]

Evaluation of Cloud-Phase Retrieval Methods for SEVIRI on Meteosat-8 Using Ground-Based Lidar and Cloud Radar Data ERWIN L. A. WOLTERS, ROBERT A. ROEBELING, AND ARNOUT J. FEIJT Royal Netherlands 2007) ABSTRACT Three cloud-phase determination algorithms from passive satellite imagers are explored

Stoffelen, Ad

166

ARM - Article  

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27, 2009 [Facility News] 27, 2009 [Facility News] Arrival of Recovery Act Funds Sets Wheels In Motion Bookmark and Share So that people can easily recognize the effects of the American Recovery and Reinvestment Act, all projects will be stamped with the Recovery Act logo. So that people can easily recognize the effects of the American Recovery and Reinvestment Act, all projects will be stamped with the Recovery Act logo. Through the American Recovery and Reinvestment Act of 2009 (aka stimulus), the Department of Energy's Office of Science received $1.2 billion. In late May, DOE released approximately $54 million-90 percent-of the $60 million allocated to the ARM Climate Research Facility. During the next 18 months, the ARM Climate Research Facility will purchase and deploy dual-frequency scanning cloud radars to all the ARM sites, enhance several

167

ARM - Facility News Article  

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April 15, 2010 [Facility News] April 15, 2010 [Facility News] Second Phase of African Scientific Exchange Underway Bookmark and Share Left to right: Dr. Zewdu Segele and Hama Hamidou examine reflectivity measurements made by the W-band ARM cloud radar in Niamey during July 2006. Left to right: Dr. Zewdu Segele and Hama Hamidou examine reflectivity measurements made by the W-band ARM cloud radar in Niamey during July 2006. Continuing an international collaboration that began with the ARM Mobile Facility deployment to Niamey, Niger, in 2006, meteorologist Hama Hamidou from the University of Niamey recently arrived at the Cooperative Institute for Mesoscale Meteorological Studies at the University of Oklahoma for a six-month scientific exchange. Under the guidance of Dr. Zewdu Segele, a

168

Use of the ARM Measurements of Spectral Zenith Radiance for Better Understanding of 3D Cloud-Radiation Processes & Aerosol-Cloud Interaction  

SciTech Connect (OSTI)

We proposed a variety of tasks centered on the following question: what can we learn about 3D cloud-radiation processes and aerosol-cloud interaction from rapid-sampling ARM measurements of spectral zenith radiance? These ARM measurements offer spectacular new and largely unexploited capabilities in both the temporal and spectral domains. Unlike most other ARM instruments, which average over many seconds or take samples many seconds apart, the new spectral zenith radiance measurements are fast enough to resolve natural time scales of cloud change and cloud boundaries as well as the transition zone between cloudy and clear areas. In the case of the shortwave spectrometer, the measurements offer high time resolution and high spectral resolution, allowing new discovery-oriented science which we intend to pursue vigorously. Research objectives are, for convenience, grouped under three themes: ? Understand radiative signature of the transition zone between cloud-free and cloudy areas using data from ARM shortwave radiometers, which has major climatic consequences in both aerosol direct and indirect effect studies. ? Provide cloud property retrievals from the ARM sites and the ARM Mobile Facility for studies of aerosol-cloud interactions. ? Assess impact of 3D cloud structures on aerosol properties using passive and active remote sensing techniques from both ARM and satellite measurements.

Alexander Marshak; Warren Wiscombe; Yuri Knyazikhin; Christine Chiu

2011-05-24T23:59:59.000Z

169

An Intercomparison of Radar-Based Liquid Cloud Microphysics Retrievals and Implication for Model Evaluation Studies  

E-Print Network [OSTI]

Research Facility of the US Department of Energy provides long-term continuous cloud and radiation datasets Forks, ND 58202, U.S.A. 4 University of Utah, Salt Lake City, UT 84112, U.S.A. Corresponding Author Dong of single-frequency radar approaches. It is therefore suggested that data users should use the retrievals

Dong, Xiquan

170

Evaluation of A New Mixed-Phase Cloud Microphysics Parameterization with the NCAR Climate Atmospheric Model (CAM3) and ARM Observations Fourth Quarter 2007 ARM Metric Report  

SciTech Connect (OSTI)

Mixed-phase clouds are composed of a mixture of cloud droplets and ice crystals. The cloud microphysics in mixed-phase clouds can significantly impact cloud optical depth, cloud radiative forcing, and cloud coverage. However, the treatment of mixed-phase clouds in most current climate models is crude and the partitioning of condensed water into liquid droplets and ice crystals is prescribed as temperature dependent functions. In our previous 2007 ARM metric reports a new mixed-phase cloud microphysics parameterization (for ice nucleation and water vapor deposition) was documented and implemented in the NCAR Community Atmospheric Model Version 3 (CAM3). The new scheme was tested against the Atmospheric Radiation Measurement (ARM) Mixed-phase Arctic Cloud Experiment (M-PACE) observations using the single column modeling and short-range weather forecast approaches. In this report this new parameterization is further tested with CAM3 in its climate simulations. It is shown that the predicted ice water content from CAM3 with the new parameterization is in better agreement with the ARM measurements at the Southern Great Plain (SGP) site for the mixed-phase clouds.

X Liu; SJ Ghan; S Xie; J Boyle; SA Klein

2007-09-30T23:59:59.000Z

171

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

15, 2005 [Facility News] 15, 2005 [Facility News] Upgrades to Darwin Radar Double Data Delivery Bookmark and Share The new processor for the MMCR at Darwin collects spectral data in four different modes, resulting in approximately 3.4 gigabytes of signal output per day. The new processor for the MMCR at Darwin collects spectral data in four different modes, resulting in approximately 3.4 gigabytes of signal output per day. Virtually all cloud studies within the ARM Program involve the Millimeter Wavelength Cloud Radar (MMCR). This instrument is the only source for obtaining detailed information about cloud location and internal structure in the atmospheric columns above the ARM sites, and can be operated in almost any atmospheric condition. In November, a major upgrade to the 35

172

ARM - Datastreams - mmcrmom  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsmmcrmom Datastreamsmmcrmom Documentation Data Quality Plots Citation DOI: 10.5439/1025228 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example mmcrmom Archive Data Plot Example mmcrmom Archive Data Plot Datastream : MMCRMOM Millimeter Wave Cloud Radar (MMCR), replaces mmcrcal and mmcrmoments datastreams following C-40 processor upgrade of 2003.09.09 Active Dates 2003.09.27 - 2014.01.02 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Millimeter Wavelength Cloud Radar (MMCR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Average Noise Level (S/N<0) dB AvgNoiseLevel ( time )

173

MAGIC -MARINE ARM GPCI INVESTIGATION OF CLOUDS E. R. Lewis1  

E-Print Network [OSTI]

MAGIC - MARINE ARM GPCI INVESTIGATION OF CLOUDS E. R. Lewis1 , W. J. Wiscombe2 , B. A. Albrecht3, VA 5. School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY 6. Lawrence Netherlands Meteorological Institute (KNMI), de Bilt, Netherlands 11. Jet Propulsion Laboratory, Pasadena, CA

Johnson, Peter D.

174

DOE/SC-ARM-P-07-006 Evaluation of Mixed-Phase Cloud Microphysics  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

6 6 Evaluation of Mixed-Phase Cloud Microphysics Parameterizations with the NCAR Single Column Climate Model (SCAM) and ARM Observations Second Quarter 2007 ARM Metric Report April 2007 Xiaohong Liu and Steven J. Ghan Pacific Northwest National Laboratory Richland, Washington Shaocheng Xie Lawrence Livermore National Laboratory Livermore, California Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research X. Lui, S.J. Ghan, and S. Xie, DOE/SC-ARM/P-07-006 Summary Mixed-phase stratus clouds are ubiquitous in the Arctic and play an important role in climate in this region. However, climate models have generally proven unsuccessful at simulating the partitioning of condensed water

175

ARM - Datastreams - kazrspeccmaskhicopol  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamskazrspeccmaskhicopol Datastreamskazrspeccmaskhicopol Documentation Data Quality Plots Citation DOI: 10.5439/1095602 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : KAZRSPECCMASKHICOPOL Ka ARM Zenith Radar (KAZR): filtered spectral data, high sensitivity mode, co-polarized mode Active Dates 2013.04.26 - 2013.11.21 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Ka ARM Zenith Radar (KAZR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

176

ARM - Measurement - Vertical velocity  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govMeasurementsVertical velocity govMeasurementsVertical velocity ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Vertical velocity The component of the velocity vector, along the local vertical. Categories Atmospheric State Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments CO2FLX : Carbon Dioxide Flux Measurement Systems ECOR : Eddy Correlation Flux Measurement System KAZR : Ka ARM Zenith Radar MMCR : Millimeter Wavelength Cloud Radar SODAR : Mini Sound Detection and Ranging

177

Application of Stochastic Radiative Transfer Theory to the ARM Cloud-Radiative Parameterization Problem  

SciTech Connect (OSTI)

This project had two primary goals: (1) development of stochastic radiative transfer as a parameterization that could be employed in an AGCM environment, and (2) exploration of the stochastic approach as a means for representing shortwave radiative transfer through mixed-phase layer clouds. To achieve these goals, climatology of cloud properties was developed at the ARM CART sites, an analysis of the performance of the stochastic approach was performed, a simple stochastic cloud-radiation parameterization for an AGCM was developed and tested, a statistical description of Arctic mixed phase clouds was developed and the appropriateness of stochastic approach for representing radiative transfer through mixed-phase clouds was assessed. Significant progress has been made in all of these areas and is detailed in the final report.

Dana E. Veron

2012-04-09T23:59:59.000Z

178

ARM - Field Campaign - 2008 VAMOS Ocean-Cloud-Atmos-Land Study (VOCALS)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

8 VAMOS Ocean-Cloud-Atmos-Land Study (VOCALS) 8 VAMOS Ocean-Cloud-Atmos-Land Study (VOCALS) Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : 2008 VAMOS Ocean-Cloud-Atmos-Land Study (VOCALS) 2008.10.14 - 2008.11.13 Lead Scientist : Peter Daum For data sets, see below. Description The DOE G-1 aircraft was deployed to Arica, Chile as part of the NSF VAMOS Ocean-Cloud- Atmospheric-Land Study (VOCALS). The purpose of VOCALS is to develop an understanding of the physical and chemical processes central to the climate system of the Southeast Pacific. In this region, extensive areas of marine clouds exist (coverage about 70% in October). The ASP component of VOCALS focused on aerosols, and how their chemical and microphysical properties, and their ability to act as CCN differ between

179

ARM - Feature Stories and Releases Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

November 14, 2011 [Feature Stories and Releases] November 14, 2011 [Feature Stories and Releases] New Study Reveals and Quantifies Magnitude of Long-term Aerosol Effects on Clouds and Precipitation Bookmark and Share Cloud radars measure an incoming storm at the ARM Southern Great Plains site in Oklahoma. Cloud radars measure an incoming storm at the ARM Southern Great Plains site in Oklahoma. 10 years of data from ARM Southern Great Plains site corroborate satellite measurements; match model A study published in Nature Geoscience this week reveals a trend that atmospheric scientists have been mulling for decades: the effects of aerosols on clouds and rainfall. Some studies have suggested that aerosols-tiny particles in the air, such as dust and soot-may make clouds "drier" while others studies suggest they may intensify storm

180

Cloud Occurrence Frequency at the Barrow, Alaska, ARM Climate Research Facility for 2008 Third Quarter 2009 ARM and Climate Change Prediction Program Metric Report  

SciTech Connect (OSTI)

Clouds represent a critical component of the Earths atmospheric energy balance as a result of their interactions with solar and terrestrial radiation and a redistribution of heat through convective processes and latent heating. Despite their importance, clouds and the processes that control their development, evolution and lifecycle remain poorly understood. Consequently, the simulation of clouds and their associated feedbacks is a primary source of inter-model differences in equilibrium climate sensitivity. An important step in improving the representation of cloud process simulations is an improved high-resolution observational data set of the cloud systems including their time evolution. The first order quantity needed to understand the important role of clouds is the height of cloud occurrence and how it changes as a function of time. To this end, the Atmospheric Radiation Measurement (ARM) Climate Research Facilities (ACRF) suite of instrumentation has been developed to make the observations required to improve the representation of cloud systems in atmospheric models.

M Jensen; K Johnson; JH Mather

2009-07-14T23:59:59.000Z

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

ARM - Evaluation Product - MicroPulse LIDAR Cloud Optical Depth (MPLCOD)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ProductsMicroPulse LIDAR Cloud Optical Depth ProductsMicroPulse LIDAR Cloud Optical Depth (MPLCOD) Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : MicroPulse LIDAR Cloud Optical Depth (MPLCOD) 1999.05.01 - 2004.05.14 Site(s) SGP General Description The MPLCOD VAP retrieves the column cloud visible optical depth using LIDAR derived backscatter from the MPLNOR (Micro Pulse Lidar Normalized Backscatter) and radiosonde thermodynamic profiles. The optical depth retrieval is derived following Comstock et al. (2001), which retrieves visible optical depth and layer average backscatter-to-extinction ratio (k) at the lidar wavelength for each backscatter profile. Data Information Data Directory Contacts Principal Investigator Jennifer Comstock (509) 372-424

182

Validation of Cloud Properties Derived from GOES-9 Over the ARM TWP Region  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Properties Derived from Cloud Properties Derived from GOES-9 Over the ARM TWP Region M. M. Khaiyer, M. L. Nordeen, D. R. Doelling, and V. Chakrapani Analytical Services and Materials, Inc. Hampton, Virginia P. Minnis and W. L. Smith, Jr. Atmospheric Sciences National Aeronautic and Space Administration Langley Research Center Hampton, Virginia Introduction Satellite data are essential for monitoring clouds and radiative fluxes where ground-based instruments are unavailable. On April 24, 2003, the ninth geostationary operational environmental satellite (GOES-9) began operational coverage of the Tropical Western Pacific (TWP), replacing the failing fifth geostationary meteorological satellite (GMS-5). The GOES-9 imager provides the opportunity for enhanced monitoring of clouds and radiation over the TWP because it has better spatial resolution and

183

Comparison of POLDER Cloud Phase Retrievals to Active Remote Sensors Measurements at the ARM SGP Site  

SciTech Connect (OSTI)

In our present study, cloud boundaries derived from a combination of active remote sensors at the ARM SGP site are compared to POLDER cloud top phase index which is derived from polarimetric measurements using an innovative method. This approach shows the viability of the POLDER phase retrieval algorithm, and also leads to interesting results. In particular, the analysis demonstrates the sensitivity of polarization measurements to ice crystal shape and indicates that occurrence of polycrystalline ice clouds has to be taken into account in order to improve the POLDER phase retrieval algorithm accuracy. Secondly, the results show that a temperature threshold of 240 K could serve for cloud top particle phase classification. Considering the limitations of the analysis, the temperature threshold could be biased high, but not by more than about 5 degrees.

Riedi, J.; Goloub, P.; Marchand, Roger T.

2001-06-01T23:59:59.000Z

184

ARM - Feature Stories and Releases Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

8, 2009 [Facility News, Feature Stories and Releases] 8, 2009 [Facility News, Feature Stories and Releases] Thumbs-Up for Radar Design Reviews-Key Recovery Act Milestone Bookmark and Share Of the $60 million allocated to the ARM Climate Research Facility by the American Recovery and Reinvestment Act, nearly half that amount is designated for 18 new scanning radars as well as upgrades to the baseline ARM millimeter wave cloud radars (MMCR) located throughout the Facility. In November, ARM engineering staff led a series of preliminary design reviews with the radar vendors to discuss progress thus far. All participants agreed to move forward with the plans and detailed designs presented, marking the completion of a key milestone in achieving the Recovery Act deployment schedule. Kevin Widener Kevin Widener "This review gives us the first look of what the radar physically looks

185

Stratiform and Convective Precipitation Observed by Multiple Radars during the DYNAMO/AMIE Experiment  

Science Journals Connector (OSTI)

In this study, methods of convective/stratiform precipitation classification and surface rain-rate estimation based on the Atmospheric Radiation Measurement Program (ARM) cloud radar measurements were developed and evaluated. Simultaneous and ...

Min Deng; Pavlos Kollias; Zhe Feng; Chidong Zhang; Charles N. Long; Heike Kalesse; Arunchandra Chandra; Vickal V. Kumar; Alain Protat

2014-11-01T23:59:59.000Z

186

ARM - Midlatitude Continental Convective Clouds (comstock-hvps)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Convective processes play a critical role in the Earth's energy balance through the redistribution of heat and moisture in the atmosphere and their link to the hydrological cycle. Accurate representation of convective processes in numerical models is vital towards improving current and future simulations of Earths climate system. Despite improvements in computing power, current operational weather and global climate models are unable to resolve the natural temporal and spatial scales important to convective processes and therefore must turn to parameterization schemes to represent these processes. In turn, parameterization schemes in cloud-resolving models need to be evaluated for their generality and application to a variety of atmospheric conditions. Data from field campaigns with appropriate forcing descriptors have been traditionally used by modelers for evaluating and improving parameterization schemes.

Jensen, Mike; Comstock, Jennifer; Genio, Anthony Del; Giangrande, Scott; Kollias, Pavlos

187

ARM - PI Product - MWR Retrievals of Cloud Liquid Water and Water Vapor  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govDataPI Data ProductsMWR Retrievals of Cloud Liquid Water and Water govDataPI Data ProductsMWR Retrievals of Cloud Liquid Water and Water Vapor Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : MWR Retrievals of Cloud Liquid Water and Water Vapor 2005.02.01 - 2011.04.25 Site(s) FKB GRW HFE NIM PYE SBS General Description A new algorithm is being developed for the ARM Program to derive liquid water path (LWP) and precipitable water vapor (PWV) from the 2-channel (23.8 and 31.4 GHz) microwave radiometers (MWRs) deployed at ARM climate research facilities. This algorithm utilizes the "monoRTM" radiative transfer model (http://rtweb.aer.com), a combination of both an advanced statistical and physical-iterative retrieval, and brightness temperature offsets applied before the retrieval is performed. This allows perhaps the

188

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Military Facilities, Restricted Airspace Okayed to Support Arctic Cloud Military Facilities, Restricted Airspace Okayed to Support Arctic Cloud Experiment Bookmark and Share As shown in this aerial photo of Oliktok Point, Alaska, the USAF Long Range Radar Station-also known as Dew Line Station-is situated at the edge of the Arctic Ocean. Instrumentation for the ARM Program's M-PACE experiment will be located just south of the station, near the aircraft hangar. (Photo courtesy of Aeromap U.S.) As shown in this aerial photo of Oliktok Point, Alaska, the USAF Long Range Radar Station-also known as Dew Line Station-is situated at the edge of the Arctic Ocean. Instrumentation for the ARM Program's M-PACE experiment will be located just south of the station, near the aircraft hangar. (Photo courtesy of Aeromap U.S.) After more than a year and a half of planning, proposals, and paperwork,

189

ARM - Instrument - csapr  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstrumentscsapr govInstrumentscsapr Documentation CSAPR : Handbook CSAPR : Instrument Mentor Monthly Summary (IMMS) reports CSAPR : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : C-Band ARM Precipitation Radar (CSAPR) Beneficiary of Recovery Act funding. Instrument Categories Cloud Properties General Overview The C-SAPR is a C-band dual-polarization Doppler weather radar manufactured by ARC, Inc. The C-SAPR operates in a simultaneous transmit and receive (STAR) mode, meaning that the transmit signal is split so that power is transmitted on both horizontal and vertical polarizations at the same time. The C-SAPR also has the ability to transmit on a single polarization

190

ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, Surface Meteorology (williams-surfmet)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

Christopher Williams; Mike Jensen

191

ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, Vertical Air Motion (williams-vertair)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

Christopher Williams; Mike Jensen

192

ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, 449 MHz Profiler(williams-449_prof)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

Christopher Williams; Mike Jensen

193

ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, Parcivel Disdrometer (williams-disdro)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

Christopher Williams; Mike Jensen

194

ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, 449 MHz Profiler(williams-449_prof)  

SciTech Connect (OSTI)

This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

Williams, Christopher; Jensen, Mike

2012-11-06T23:59:59.000Z

195

ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, Parcivel Disdrometer (williams-disdro)  

SciTech Connect (OSTI)

This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

Williams, Christopher; Jensen, Mike

2012-11-06T23:59:59.000Z

196

ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, Vertical Air Motion (williams-vertair)  

SciTech Connect (OSTI)

This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

Williams, Christopher; Jensen, Mike

2012-11-06T23:59:59.000Z

197

ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, Surface Meteorology (williams-surfmet)  

SciTech Connect (OSTI)

This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

Williams, Christopher; Jensen, Mike

2012-11-06T23:59:59.000Z

198

DEVELOPMENT OF IMPROVED TECHNIQUES FOR SATELLITE REMOTE SENSING OF CLOUDS AND RADIATION USING ARM DATA, FINAL REPORT  

SciTech Connect (OSTI)

During the period, March 1997 February 2006, the Principal Investigator and his research team co-authored 47 peer-reviewed papers and presented, at least, 138 papers at conferences, meetings, and workshops that were supported either in whole or in part by this agreement. We developed a state-of-the-art satellite cloud processing system that generates cloud properties over the Atmospheric Radiation (ARM) surface sites and surrounding domains in near-real time and outputs the results on the world wide web in image and digital formats. When the products are quality controlled, they are sent to the ARM archive for further dissemination. These products and raw satellite images can be accessed at http://cloudsgate2.larc.nasa.gov/cgi-bin/site/showdoc?docid=4&cmd=field-experiment-homepage&exp=ARM and are used by many in the ARM science community. The algorithms used in this system to generate cloud properties were validated and improved by the research conducted under this agreement. The team supported, at least, 11 ARM-related or supported field experiments by providing near-real time satellite imagery, cloud products, model results, and interactive analyses for mission planning, execution, and post-experiment scientific analyses. Comparisons of cloud properties derived from satellite, aircraft, and surface measurements were used to evaluate uncertainties in the cloud properties. Multiple-angle satellite retrievals were used to determine the influence of cloud structural and microphysical properties on the exiting radiation field.

Minnis, Patrick [NASA Langley Research Center, Hampton, VA

2013-06-28T23:59:59.000Z

199

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

September, radar engineers and science colleagues gathered in Garmisch-Partenkirchen, Germany, for the 8th European Conference on Radar in Meteorology and Hydrology. Leading ARM...

200

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cirrus Cloud Statistics from a Cloud-Resolving Model Simulation Compared to Cirrus Cloud Statistics from a Cloud-Resolving Model Simulation Compared to Cloud Radar Observations Krueger, S.K. (a), Luo, Y. (a), Mace, G.G. (a), and Xu, K.-M. (b), University of Utah (a), NASA Langley Research Center (b) Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting Mace, Clothiaux, and Ackerman (2000; MCA) determined the properties of cirrus clouds derived from one year (December 1996 to November 1997) of MMCR data collected at the SGP ARM site in Oklahoma. They also used additional measurements to retrieve the bulk microphysical properties of thin cirrus cloud layers. We sampled CRM results in a way that allows direct comparison to MCA's observations and retrievals of cirrus cloud properties. This allows evaluation, in a statistical sense, of the CRM's

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

From Coastal Clouds to Desert Dust: ARM Mobile Facility Headed to Africa Bookmark and Share ARM operations staff prepare the ARM Mobile Facility in Point Reyes, California, for...

202

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Comparison of Boundary Layer Cloud Properties using Surface and GOES Comparison of Boundary Layer Cloud Properties using Surface and GOES Measurements at the ARM SGP Site Dong, X. (a), Minnis, P. (b), Smith, W.L., Jr. (b), and Mace, G.G. (a), University of Utah (a), NASA Langley Research Center (b) Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting Boundary layer cloud microphysical and radiative properties derived from GOES data during March 2000 cloud IOP at ARM SGP site are compared with simultaneous surface-based observations. The cloud-droplet effective radius, optical depth, and top-of-atmoshpere (TOA) albedo are retrieved from a 2-stream radiative transfer model in conjunction with ground-based measurements of cloud radar, laser ceilometer, microwave and solar radiometers. The satellite results are retrieved from GOES visible and

203

Atmospheric Radiation Measurement (ARM) Data from Steamboat Springs, Colorado, for the Storm Peak Laboratory Cloud Property Validation Experiment (STORMVEX)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

In October 2010, the initial deployment of the second ARM Mobile Facility (AMF2) took place at Steamboat Springs, Colorado, for the Storm Peak Laboratory Cloud Property Validation Experiment (STORMVEX). The objective of this field campaign was to obtain data about liquid and mixed-phase clouds using AMF2 instruments in conjunction with Storm Peak Laboratory (located at an elevation of 3220 meters on Mt. Werner), a cloud and aerosol research facility operated by the Desert Research Institute. STORMVEX datasets are freely available for viewing and download. Users are asked to register with the ARM Archive; the user's email address is used from that time forward as the login name.

204

ARM - Datastreams - swacrblrhi  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsswacrblrhi Datastreamsswacrblrhi Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SWACRBLRHI S-WACR Boundary-layer Range-Height Indicator scan Active Dates 2010.04.28 - 2010.05.31 Measurement Categories Cloud Properties Originating Instrument W-Band (95 GHz) ARM Cloud Radar, mounted to scan (SWACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Current pedestal azimuth position relative to North degrees Azimuth_current ( time ) Rate of pedestal motion in the azimuth degrees/sec Azimuth_scan_rate ( time ) Current pedestal elevation position degrees Elevation_current ( time )

205

ARM - Datastreams - swacrcal  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsswacrcal Datastreamsswacrcal Documentation Data Quality Plots Citation DOI: 10.5439/1025288 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SWACRCAL S-WACR calibration information Active Dates 2010.03.15 - 2010.04.23 Measurement Categories Cloud Properties Originating Instrument W-Band (95 GHz) ARM Cloud Radar, mounted to scan (SWACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Current pedestal azimuth position relative to North degrees Azimuth_current ( time ) Rate of pedestal motion in the azimuth degrees/sec Azimuth_scan_rate ( time ) Current pedestal elevation position degrees Elevation_current ( time )

206

ARM - Datastreams - swacrcwrhi  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsswacrcwrhi Datastreamsswacrcwrhi Documentation Data Quality Plots Citation DOI: 10.5439/1025289 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SWACRCWRHI S-WACR Cross-Wind Range-Height Indicator scan Active Dates 2009.10.26 - 2010.05.31 Measurement Categories Cloud Properties Originating Instrument W-Band (95 GHz) ARM Cloud Radar, mounted to scan (SWACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Current pedestal azimuth position relative to North degrees Azimuth_current ( time ) Rate of pedestal motion in the azimuth degrees/sec Azimuth_scan_rate ( time )

207

ARM - Datastreams - swacrppi  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsswacrppi Datastreamsswacrppi Documentation Data Quality Plots Citation DOI: 10.5439/1025292 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SWACRPPI S-WACR Plan Position Indicator scan Active Dates 2009.10.05 - 2011.04.25 Measurement Categories Cloud Properties Originating Instrument W-Band (95 GHz) ARM Cloud Radar, mounted to scan (SWACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Current pedestal azimuth position relative to North degrees Azimuth_current ( time ) Rate of pedestal motion in the azimuth degrees/sec Azimuth_scan_rate ( time ) Current pedestal elevation position degrees Elevation_current ( time )

208

ARM - Datastreams - swacrvpt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsswacrvpt Datastreamsswacrvpt Documentation Data Quality Plots Citation DOI: 10.5439/1025297 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SWACRVPT S-WACR Vertical PoinTing scan Active Dates 2009.10.05 - 2011.04.25 Measurement Categories Cloud Properties Originating Instrument W-Band (95 GHz) ARM Cloud Radar, mounted to scan (SWACR) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Current pedestal azimuth position relative to North degrees Azimuth_current ( time ) Rate of pedestal motion in the azimuth degrees/sec Azimuth_scan_rate ( time ) Current pedestal elevation position degrees Elevation_current ( time )

209

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

9, 2011 [Facility News] 9, 2011 [Facility News] Forecasting Exercise Begins Oklahoma Storm Study Count Down Bookmark and Share Clouds like this, called by the name "anvil" for its shape, are one type of cloud system researchers hope to encounter during MC3E. Clouds like this, called by the name "anvil" for its shape, are one type of cloud system researchers hope to encounter during MC3E. Beginning April 2011, the ARM Southern Great Plains (SGP) site in north-central Oklahoma will host the first major field campaign to take advantage of numerous new radars and other remote sensing instrumentation installed throughout the site with funding from the American Recovery and Reinvestment Act. The Midlatitude Continental Convective Clouds Experiment (MC3E) will use two aircraft and a comprehensive array of ground-based

210

Use of the ARM Measurement of Spectral Zenith Radiance For Better Understanding Of 3D Cloud-Radiation Processes and Aerosol-Cloud Interaction  

SciTech Connect (OSTI)

Our proposal focuses on cloud-radiation processes in a general 3D cloud situation, with particular emphasis on cloud optical depth and effective particle size. We also focus on zenith radiance measurements, both active and passive. The proposal has three main parts. Part One exploits the ?¢????solar-background?¢??? mode of ARM lidars to allow them to retrieve cloud optical depth not just for thin clouds but for all clouds. This also enables the study of aerosol cloud interactions with a single instrument. Part Two exploits the large number of new wavelengths offered by ARM?¢????s zenith-pointing ShortWave Spectrometer (SWS), especially during CLASIC, to develop better retrievals not only of cloud optical depth but also of cloud particle size. We also propose to take advantage of the SWS?¢???? 1 Hz sampling to study the ?¢????twilight zone?¢??? around clouds where strong aerosol-cloud interactions are taking place. Part Three involves continuing our cloud optical depth and cloud fraction retrieval research with ARM?¢????s 2NFOV instrument by, first, analyzing its data from the AMF-COPS/CLOWD deployment, and second, making our algorithms part of ARM?¢????s operational data processing.

D. Jui-Yuan Chiu

2010-10-19T23:59:59.000Z

211

Cloud fraction, liquid and ice water contents derived from long-term radar, lidar, and microwave radiometer data are systematically compared to models to quantify and  

E-Print Network [OSTI]

Cloud fraction, liquid and ice water contents derived from long-term radar, lidar, and microwave a systematic evaluation of clouds in forecast models. Clouds and their associated microphysical processes for end users of weather forecasts, who may be interested not only in cloud cover, but in other variables

Hogan, Robin

212

ARM - Site Instruments  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

PacificInstruments PacificInstruments TWP Related Links Facilities and Instruments Manus Island Nauru Island Darwin, AUS ES&H Guidance Statement Operations Science Field Campaigns Year of Tropical Convection Visiting the Site TWP Fact Sheet Images Information for Guest Scientists Contacts Instruments : Tropical Western Pacific [ Installed at 3 facilities ] AERI Atmospheric Emitted Radiance Interferometer Radiometric Browse Plots Browse Data [ Installed at 2 facilities ] CSAPR C-Band ARM Precipitation Radar Cloud Properties Browse Data [ Installed at 3 facilities ] CSPHOT Cimel Sunphotometer Aerosols, Radiometric Browse Data [ Single installation ] DISDROMETER Impact Disdrometer Surface Meteorology Browse Plots Browse Data [ Single installation ] DL Doppler Lidar Cloud Properties Browse Data [ Installed at 3 facilities ]

213

ARM - Site Instruments  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Oliktok Point, Oliktok Point, AlaskaInstruments Oliktok Deployment AMF Home Oliktok Home Deployment Operations Baseline Instruments and Data Plots at the Archive Outreach News & Press New Sites Fact Sheet (PDF, 1.6MB) Images Contacts Fred Helsel, AMF Operations Lynne Roeder, Media Contact Hans Verlinde, Principal Investigator Instruments : Oliktok Point, Alaska [ Single installation ] AERI Atmospheric Emitted Radiance Interferometer Radiometric Not Online [ Single installation ] CSAPR C-Band ARM Precipitation Radar Cloud Properties Not Online [ Single installation ] CSPHOT Cimel Sunphotometer Aerosols Browse Data [ Single installation ] DL Doppler Lidar Cloud Properties Not Online [ Single installation ] ECOR Eddy Correlation Flux Measurement System Surface/Subsurface Properties Not Online [ Single installation ]

214

GALACTIC ALL-SKY SURVEY HIGH-VELOCITY CLOUDS IN THE REGION OF THE MAGELLANIC LEADING ARM  

SciTech Connect (OSTI)

We present a catalog of high-velocity clouds in the region of the Magellanic Leading Arm. The catalog is based on neutral hydrogen (H I) observations from the Parkes Galactic All-Sky Survey. Excellent spectral resolution allows clouds with narrow-line components to be resolved. The total number of detected clouds is 419. We describe the method of cataloging and present the basic parameters of the clouds. We discuss the general distribution of the high-velocity clouds and classify the clouds based on their morphological type. The presence of a significant number of head-tail clouds and their distribution in the region is discussed in the context of Magellanic System simulations. We suggest that ram-pressure stripping is a more important factor than tidal forces for the morphology and formation of the Magellanic Leading Arm and that different environmental conditions might explain the morphological difference between the Magellanic Leading Arm and Magellanic Stream. We also discuss a newly identified population of clouds that forms the LA IV and a new diffuse bridge-like feature connecting the LA II and III complexes.

For, Bi-Qing; Staveley-Smith, Lister [International Centre for Radio Astronomy Research, University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009 (Australia)] [International Centre for Radio Astronomy Research, University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009 (Australia); McClure-Griffiths, N. M., E-mail: biqing.for@uwa.edu.au [Australia Telescope National Facility, CSIRO Astronomy and Space Science, PO Box 76, Epping, NSW 1710 (Australia)

2013-02-10T23:59:59.000Z

215

Testing AGCM-Predicted Cloud and Radiation Properties with ARM Data: The Super-Parameterization Approach  

SciTech Connect (OSTI)

The goal of our study is to directly evaluate treatment of clouds and radiation in an atmospheric global climate model (AGCM) using long-term observations from the Atmospheric Radiation Measurement (ARM) program. In this presentation, we will present a comparison of observations from two ARM sites, one in north central Oklahoma and one at Nauru island in the Tropical Western Pacific region, with the model output from corresponding grid points. Traditional parametric approach of diagnosing cloud and radiation properties from large-scale model fields is not well suited for comparison with observed time series at selected locations. A recently emerging approach called super parameterization has shown promise to bridge the gap. Super parameterization consists of a two-dimensional cloud system resolving model (CSRM) embedded into each grid of the NCAR Community Climate System Model thereby computing cloud properties at a scale that is more consistent with observations. Because the approach is computationally expensive only limited simulations have been carried out. Two sets of one year long simulations are considered: one using climatological sea surface temperatures (SST) and another using 1999 SST. Each set includes a run with super-parameterization (SP) as well as an AGCM run with traditional or standard (STD) cloud and radiation treatment. Time series of cloud fraction, precipitation intensity, and downwelling solar radiation flux at the surface are statistically analyzed. Nearly all parameters of frequency distributions of these variables from SP run are shown to be more consistent with observation than those from STD model run. Different temporal and spatial averaging in the simulations and observations imposes limitations on the comparisons and these scale effects will be discussed. Output from the STD run represents statistics for the AGCM grid, which, in our case, is roughly 300 km x 300 km. In contrast, the CSRM domain is 4 km x 256 km and consists of a row of 64 columns, 4 km x 4 km each. One of the benefits of the SP approach is that statistics can be collected for domain-averaged as well as column cloud and radiation properties. The column statistics are representative of scales that are closer to the scales of observations and therefore allow for more direct comparisons.

Ovchinnikov, Mikhail; Ackerman, Thomas P.; Marchand, Roger T.; Khairoutdinov, Marat

2004-01-31T23:59:59.000Z

216

Validation of MODIS-Retrieved Cloud Fractions Using Whole Sky Imager Measurements at the Three ARM Sites  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

MODIS-Retrieved Cloud Fractions Using MODIS-Retrieved Cloud Fractions Using Whole Sky Imager Measurements at the Three ARM Sites Z. Li, M. C. Cribb, and F.-L. Chang Earth System Science Interdisciplinary Center University of Maryland College Park, Maryland A. P. Trishchenko Canada Centre for Remote Sensing Ottawa, Ontario, Canada Introduction Given the importance of clouds in modulating the surface energy budget, it is critical to obtain accurate estimates of their fractional amount in the atmospheric column for use in modeling studies. Satellite remote sensing of cloud properties such as cloud amount has the advantage of providing global coverage on a regular basis. Ground-based surveys of cloud fraction offer a practical database for use in determining the accuracy of these remotely sensed estimates of cloud fraction on a regional scale.

217

ARM - Measurement - Hydrometeor fall velocity  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

fall velocity fall velocity ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Hydrometeor fall velocity Fall velocity of hydrometeors (e.g. rain, snow, graupel, hail). Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments DISDROMETER : Impact Disdrometer LDIS : Laser Disdrometer WSACR : Scanning ARM Cloud Radar, tuned to W-Band (95GHz) Field Campaign Instruments DISDROMETER : Impact Disdrometer PDI : Phase Doppler Interferometer

218

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Particle Size Distributions Estimated During the 2001 Multi-Frequency Radar Particle Size Distributions Estimated During the 2001 Multi-Frequency Radar IOP Williams, C.R.(a) and Sekelsky, S.M.(b), University of Colorado at Boulder (a), University of Massachusetts at Amherst (b) Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting The 2001 Multi-Frequency Radar Intensive Operational Period (IOP) was designed to collect a long dataset of W-band (95 GHz), Ka-band (35 GHz), and S-band (2.8 GHz) vertical profiling observations to investigate insect scattering and precipitating particle scattering above the Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) site. The 95 and 2.8 GHz vertically pointing radars were placed next to the permanently installed 35 GHz Millimeter Wave Cloud Radar (MMCR) at the SGP Central Facility from

219

ARM - Feature Stories and Releases Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

December 9, 2010 [Feature Stories and Releases] December 9, 2010 [Feature Stories and Releases] Scientists Begin 5-month Study of Cloud Life Cycles Bookmark and Share Instruments at four mountain sites gather data to improve climate models. For Immediate Release: Thursday, December 9, 2010 Just outside Thunderhead Lodge in the Steamboat Springs ski area, one of the ARM Mobile Facility sites hosts a scanning cloud radar and several other instruments. Just outside Thunderhead Lodge in the Steamboat Springs ski area, one of the ARM Mobile Facility sites hosts a scanning cloud radar and several other instruments. Steamboat Springs, Colorado - Ski season is snow season, and snow season means clouds-exactly what a team of atmospheric scientists in "Ski Town USA" are anticipating. For the next five months, a dense collection of

220

ARM - Datastreams - 1290rwpwindmom  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

rwpwindmom rwpwindmom Documentation Data Quality Plots Citation DOI: 10.5439/1025032 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 1290RWPWINDMOM 1290-MHz Radar Wind Profiler/RASS (RWP1290): wind moments Active Dates 2007.03.19 - 2012.03.31 Measurement Categories Cloud Properties Originating Instrument Radar Wind Profiler (RWP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Beam azimuth angle deg beam_azimuth ( time ) Beam elevation angle deg beam_elevation ( time )

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
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221

ARM - Datastreams - 50rwpwindspec  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

rwpwindspec rwpwindspec Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 50RWPWINDSPEC 50-MHz Radar Wind Profiler/RASS (RWP50): wind spectra Active Dates 2001.04.01 - 2006.05.04 Measurement Categories Aerosols, Cloud Properties Originating Instrument Radar Wind Profiler (50 MHz) (50RWP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Beam azimuth angle deg beam_azimuth ( time ) Beam elevation angle deg beam_elevation ( time ) Spectral bin number unitless bins ( bins )

222

ARM - Datastreams - 915rwpwind  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

rwpwind rwpwind Documentation Data Quality Plots Citation DOI: 10.5439/1025134 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 915RWPWIND 915-MHz Radar Wind Profiler/RASS (RWP915): wind profile data Active Dates 1996.12.30 - 2001.03.31 Measurement Categories Aerosols, Atmospheric State, Cloud Properties Originating Instrument Radar Wind Profiler (RWP) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Horizontal wind dir Backscattered radiation spc_amp Horizontal wind spd Horizontal wind u_wind Horizontal wind v_wind Horizontal wind vel0 Horizontal wind vel1 Horizontal wind vel2 Horizontal wind

223

ARM - Blog Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

4, 2013 [Blog] 4, 2013 [Blog] Recycling: A Lesson from Manus Island Bookmark and Share Guest post and photos by Chad Baldi, Project Engineer, ProSensing Inc. Three of us from ProSensing recently made a trip to Manus Island in Papua New Guinea to perform some upgrades to two ARM radars. We made a few interesting discoveries. In 2011, the ARM zenith cloud radar Ka-band antenna was replaced, and the old antenna was scrapped. As seen in the picture, the local villagers salvaged the scrapped antenna and are now using it to collect rain water for the community. The rain water drains off the roof of the house into the antenna, serving as a catch basin. When we told the property owner what a brand new antenna costs, he had a good laugh. The other photo is a picture of wood-crafted shed. This is an office/study

224

ARM - Datastreams - 50rwptempspec  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

rwptempspec rwptempspec Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 50RWPTEMPSPEC 50-MHz Radar Wind Profiler/RASS (RWP50): temperature spectra Active Dates 2001.04.01 - 2006.05.04 Measurement Categories Aerosols, Cloud Properties Originating Instrument Radar Wind Profiler (50 MHz) (50RWP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Spectral bin number unitless bins ( bins ) Array of heights for the range gates km height ( height ) North latitude degree_N lat

225

ARM - Datastreams - 915rwptempmom  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

rwptempmom rwptempmom Documentation Data Quality Plots Citation DOI: 10.5439/1025132 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 915RWPTEMPMOM 915-MHz Radar Wind Profiler/RASS (RWP915): temperature moments Active Dates 1997.05.01 - 2011.06.13 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Radar Wind Profiler (RWP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Array of heights for the range gates km height ( height )

226

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Property Retrieval Using Combined Ground-Based Remote Sensors Cloud Property Retrieval Using Combined Ground-Based Remote Sensors Wang, Z. and Sassen, K., University of Utah Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting The Atmospheric Radiation Measurements Program (ARM) is making measurements with diverse ground-based remote sensors. To provide more complete and accurate cloud information, it is necessary to combine diverse measurements because of the different capabilities of various sensors. In this study, a remote sensing cloud detection algorithm has been developed that can differentiate between various atmospheric targets such as ice and water clouds, virga, precipitation, and aerosol layers. Cloud type and macrophysical properties are identified by combining ground-based polarization lidar, millimeter wave radar, infrared radiometer, and dual

227

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Properties Over the North Slope of Alaska: A Comparison of Properties Over the North Slope of Alaska: A Comparison of Ground-Based and Space-Based Retrievals Storvold, R.(a), Marty, C.(a), Xiong, X.(b), Stamnes, K.H.(c), and Zak, B.D.(d), University of Alaska Fairbanks (a), QSS group Inc. (b), Stevens Institute of Technology (c), Sandia National Laboratories (d) Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting In the Arctic there is a large seasonal variability in cloud cover, cloud base height, and cloud liquid water content. Cloud properties above the ARM/NSA CART site in Barrow are retrieved using a suite of different instruments and retrieval techniques. Daily and monthly averages of the cloud properties are derived for a full annual cycle using data from LIDAR, Whole Sky Imager, Cloud Radar, Micro Wave Radiometer, and Broadband

228

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Fair - Weather Cumuli Climatology at the TWP ARM Site Fair - Weather Cumuli Climatology at the TWP ARM Site Kollias, P. and Albrecht B.A., University of Miami Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting Fair-weather cumuli are fundamental in regulating the vertical structure of water vapor and entropy in the lowest 2 km of the Earths atmosphere over vast areas of the oceans. Over two years of data from the mm-wavelength cloud radar, at the Nauru (TWP-ARM) site, are analyzed and a statistical description of the field of fair weather cumulus is inferred. Frequency diagrams of cloud thickness, fractional coverage, updraft-downdraft magnitudes and cloud reflectivity are calculated for four different classes of fair weather cumuli. Seasonal patterns are identified and their relationship to the thermodynamic structure of the boundary layer (wet-dry

229

Proceedings of ERAD (2002): 95103 c Copernicus GmbH 2002 Extraction and analysis of structural features in cloud radar and  

E-Print Network [OSTI]

. Zhariy3 , P. Maa?3 , and K. Sassen4 1 GKSS Research Center, Institute for Coastal Research, Geesthacht the morphology of cloud fields as well as cloud internal structure. The GKSS 95 GHz cloud radar: M. Quante (markus.quante@gkss.de) is of importance for the development of strategies and codes

Teschke, Gerd

230

ARM CLASIC ER2 CRS/EDOP  

SciTech Connect (OSTI)

Data was taken with the NASA ER-2 aircraft with the Cloud Radar System and other instruments in conjunction with the DOE ARM CLASIC field campaign. The flights were near the SGP site in north Central Oklahoma and targeted small developing convection. The CRS is a 94 GHz nadir pointing Doppler radar. Also on board the ER-2 was the Cloud Physics Lidar (CPL). Seven science flights were conducted but the weather conditions did not cooperate in that there was neither developing convection, or there was heavy rain.

Gerald Heymsfield

2010-12-20T23:59:59.000Z

231

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

27, 2009 [Facility News] 27, 2009 [Facility News] Arrival of Recovery Act Funds Sets Wheels In Motion Bookmark and Share So that people can easily recognize the effects of the American Recovery and Reinvestment Act, all projects will be stamped with the Recovery Act logo. So that people can easily recognize the effects of the American Recovery and Reinvestment Act, all projects will be stamped with the Recovery Act logo. Through the American Recovery and Reinvestment Act of 2009 (aka stimulus), the Department of Energy's Office of Science received $1.2 billion. In late May, DOE released approximately $54 million-90 percent-of the $60 million allocated to the ARM Climate Research Facility. During the next 18 months, the ARM Climate Research Facility will purchase and deploy dual-frequency scanning cloud radars to all the ARM sites, enhance several

232

ARM - Journal Articles 2004  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

4 4 Publications Journal Articles Conference Documents Program Documents Technical Reports Publications Database Public Information Materials Image Library Videos Publication Resources Submit a Publication Publishing Procedures ARM Style Guide (PDF, 448KB) Acronyms Glossary Logos Contacts RSS for Publications Journal Search [ Advanced Search ] Publication Years 2013 149 2012 163 2011 185 2010 197 2009 213 2008 174 2007 150 2006 213 2005 139 2004 141 2003 187 2002 205 2001 207 2000 232 1999 136 1998 172 1997 103 1996 84 1995 124 1994 65 1993 51 1992 47 1991 25 1990 12 1986 1 Journal Articles : 2004 Author Article Title Journal Funded By Jakob Use of cloud radar observations for model evaluation: A probabilistic approach (Citation) Journal of Geophysical Research ARM Schultz Snowbands during the cold-air outbreak of 23 January 2003. (Citation) Monthly Weather Review ARM

233

ARM - Measurement - Hydrometeor size  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

size size ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Hydrometeor size The size of a hydrometeor, measured directly or derived from other measurements . Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments DISDROMETER : Impact Disdrometer LDIS : Laser Disdrometer External Instruments CPOL : C-Band Polarimetric Radar Field Campaign Instruments EC-CONVAIR580-BULK : Environment Canada Convair 580 Bulk Parameters

234

Satellite and Surface Data Synergy for Developing a 3D Cloud Structure and Properties Characterization Over the ARM SGP. S...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Satellite and Surface Data Synergy for Developing Satellite and Surface Data Synergy for Developing a 3D Cloud Structure and Properties Characterization Over the ARM SGP Site Stage 1: Cloud Amounts, Optical Depths, and Cloud Heights Reconciliation I. Genkova and C. N. Long Pacific Northwest National Laboratory Richland, Washington P. W. Heck Analytical Services & Materials, Inc. Hampton, Virginia P. Minnis National Aeronautics and Space Administration Langley Research Center Hampton, Virginia Introduction One of the primary Atmospheric Radiation Measurement (ARM) Program objectives is to obtain measurements applicable to the development of models for better understanding of radiative processes in the atmosphere. We address this goal by building a three-dimensional (3D) characterization of the

235

Comparison of the CALIPSO satellite and ground-based observations of cirrus clouds at the ARM TWP sites  

SciTech Connect (OSTI)

Statistics of ice cloud macrophysical and optical properties from the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP) instrument on board the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite are compared with those from ground-based lidar observations over a 31 month period. Ground-based lidar observations are taken from the micropulse lidars (MPL) at the three Department of Energy Atmospheric Radiation Measurement (ARM) tropical western pacific (TWP) sites: Manus, Nauru and Darwin. CALIPSO observations show a larger cloud fraction at high altitudes while the ground-based MPLs show a larger cloud fraction at low altitudes. The difference in mean ice cloud top and base heights at the Manus and Nauru sites are all within 0.51 km, although differences are statistically significant. Mean ice cloud geometrical thickness agree to within 0.05 km at the Manus and Nauru sites. Larger differences exist at Darwin due to excessive degradation of the MPL output power during our sampling period. Both sets of observations show thicker clouds during the nighttime which may be real but could also be partially an artifact of the decreased signal-to-noise ratio during the daytime. The number of ice cloud layers per profile are also shown to be consistent after accounting for the difference in spatial resolution. For cloud optical depths, four different retrieval methods are compared, two for each set of observations. All products show that the majority of ice cloud optical depths ({approx}60%) fall below an optical depth of 0.2. For most comparisons all four retrievals agree to within the uncertainty intervals. We find that both CALIPSO retrievals agree best to ground-based optical depths when the lidar ratio in the latter is retrieved instead of set to a fixed value. Also thoroughly compared is the cloud properties for the subset of ice clouds which reside in the tropical tropopause layer (TTL).

Thorsen, Tyler J.; Fu, Q.; Comstock, Jennifer M.

2011-11-10T23:59:59.000Z

236

Atmospheric Radiation Measurement (ARM) Data from Los Angeles, California, to Honolulu, Hawaii for the Marine ARM GPCI Investigation of Clouds (MAGIC) Field Campaign (an AMF2 Deployment)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

From October 2012 through September 2013, the second ARM Mobile Facility (AMF2) was deployed on the container ship Spirit, operated by Horizon Lines, for the Marine ARM GPCI* Investigation of Clouds (MAGIC) field campaign. During approximately 20 round trips between Los Angeles, California, and Honolulu, Hawaii, AMF2 obtained continuous on-board measurements of cloud and precipitation, aerosols, and atmospheric radiation; surface meteorological and oceanographic variables; and atmospheric profiles from weather balloons launched every six hours. During two two-week intensive observational periods in January and July 2013, additional instruments were deployed and balloon soundings were be increased to every three hours. These additional data provided a more detailed characterization of the state of the atmosphere and its daily cycle during two distinctly different seasons. The primary objective of MAGIC was to improve the representation of the stratocumulus-to-cumulus transition in climate models. AMF2 data documented the small-scale physical processes associated with turbulence, convection, and radiation in a variety of marine cloud types.

237

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Radiative Effects of Cloud Inhomogeneity and Geometric Association over the Radiative Effects of Cloud Inhomogeneity and Geometric Association over the Tropical Western Pacific Warm Pool Jensen, M.P.(a) and DelGenio, A.D.(b), Department of Applied Physics and Applied Mathematics, Columbia University, NASA GISS (a), NASA GISS (b) Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting The radiative and microphysical characteristics for several precipitating anvil systems observed by the TRMM satellite over the Manus or Nauru Island ARM sites are modelled. Reflectivity data from the TRMM Precipitation radar and GMS satellite infrared radiometer measurements are used to parametrize the three-dimensional cloud microphysics of each precipitating cloud system. These parameterized cloud properties are used as input for a

238

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Irradiance Using Remotely Sensed Cloud Properties From Irradiance Using Remotely Sensed Cloud Properties From ARM's SGP Site Barker, H.W., Atmospheric Environment Service of Canada; Li, Z., Canada Centre for Remote Sensing; Clothiaux, E.E., and Ackerman, T.P., The Pennsylvania State University; Kato, S., National Aeronautics and Space Administration-Langley Research Center Ninth Atmospheric Radiation Measurement (ARM) Science Team Meeting Time series of profiles of cloud water content and droplet effective radii have been inferred from data obtained by a 35-GHz radar and a Microwave Radiometer (MWR) at the Atmospheric Radiation Measurement (ARM) Program's Southern Great Plains (SGP) site. These profiles initialize a Monte Carlo algorithm that predicts time series of broadband surface solar irradiance, which in turn are compared with coeval measurements. Special attention is

239

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Retrievals of Vertical Profiles of Cloud Ice Mass and Particle Retrievals of Vertical Profiles of Cloud Ice Mass and Particle Characteristic Size from MMCR Data Matrosov, S.Y.(a), Heymsfield, A.J.(b), Shupe, M.D.(c), and Korolev, A.V.(d), CIRES, University of Colorado and NOAA ETL (a), NCAR (b), STC (c), Canadian Atmospheric Service (d) Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting A remote sensing method is proposed for the retrievals of vertical profiles of ice cloud microphysical parameters from ground-based measurements of radar reflectivity and Doppler velocity with a vertically pointed cloud radar. This method relates time-averaged Doppler velocities (which are used as a proxy for the reflectivity weighted particle fall velocities) to particle characteristic sizes such as median or mean. With estimated

240

ARM - 2005 ARM Science Team Meeting  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

of Stratiform Clouds Variability Based on Millimeter-Wave Radar Data 2:30 p.m. Roger Marchand: A Bootstrap Technique for Testing the Relationship Between Local-Scale Radar...

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While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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241

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

2, 2012 [Data Announcements, Facility News] 2, 2012 [Data Announcements, Facility News] Toolkit for ARM Radar Data Previewed at Workshop Bookmark and Share This data plot shows the height and north/south displacement of rain relative to the ARM Southern Great Plains site's Central Facility in Oklahoma. This retrieval used information from all three X-band scanning ARM precipitation radars at the SGP site and was performed using tools in the Python-ARM radar toolkit. Click on image to enlarge. This data plot shows the height and north/south displacement of rain relative to the ARM Southern Great Plains site's Central Facility in Oklahoma. This retrieval used information from all three X-band scanning ARM precipitation radars at the SGP site and was performed using tools in the Python-ARM radar toolkit. Click on image to enlarge.

242

Title: Radar-observed convective characteristics during TWP-ICE  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Title: Radar-observed convective characteristics during TWP-ICE Title: Radar-observed convective characteristics during TWP-ICE Schumacher, Courtney Texas A&M University Houze, Robert University of Washington May, Peter Bureau or Meteorology Research Centre Frederick, Kaycee Cetrone, Jasmine Vallgren, Andreas Category: Field Campaigns This poster will describe the radar dataset obtained in the Tropical Warm Pool International Cloud Experiment (TWP-ICE), which is to take place 20 January - 14 February 2006 in the vicinity of Darwin, Australia. We will describe the convective systems observed during the project by two scanning C-band Doppler radars, one of which will provide dual-polarization measurements, and ARM's vertically pointing cloud radar and lidar installations. In addition, we will discuss the potential for combining

243

ARM - Midlatitude Continental Convective Clouds Microwave Radiometer Profiler (jensen-mwr)  

SciTech Connect (OSTI)

A major component of the Mid-latitude Continental Convective Clouds Experiment (MC3E) field campaign was the deployment of an enhanced radiosonde array designed to capture the vertical profile of atmospheric state variables (pressure, temperature, humidity wind speed and wind direction) for the purpose of deriving the large-scale forcing for use in modeling studies. The radiosonde array included six sites (enhanced Central Facility [CF-1] plus five new sites) launching radiosondes at 3-6 hour sampling intervals. The network will cover an area of approximately (300)2 km2 with five outer sounding launch sites and one central launch location. The five outer sounding launch sites are: S01 Pratt, KS [ 37.7oN, 98.75oW]; S02 Chanute, KS [37.674, 95.488]; S03 Vici, Oklahoma [36.071, -99.204]; S04 Morris, Oklahoma [35.687, -95.856]; and S05 Purcell, Oklahoma [34.985, -97.522]. Soundings from the SGP Central Facility during MC3E can be retrieved from the regular ARM archive. During routine MC3E operations 4 radiosondes were launched from each of these sites (approx. 0130, 0730, 1330 and 1930 UTC). On days that were forecast to be convective up to four additional launches were launched at each site (approx. 0430, 1030, 1630, 2230 UTC). There were a total of approximately 14 of these high frequency launch days over the course of the experiment. These files contain brightness temperatures observed at Purcell during MC3E. The measurements were made with a 5 channel (22.235, 23.035, 23.835, 26.235, 30.000GHz) microwave radiometer at one minute intervals. The results have been separated into daily files and the day of observations is indicated in the file name. All observations were zenith pointing. Included in the files are the time variables base_time and time_offset. These follow the ARM time conventions. Base_time is the number seconds since January 1, 1970 at 00:00:00 for the first data point of the file and time_offset is the offset in seconds from base_time.

Jensen, Mike

2012-02-01T23:59:59.000Z

244

ARM - Midlatitude Continental Convective Clouds - Ultra High Sensitivity Aerosol Spectrometer(tomlinson-uhsas)  

SciTech Connect (OSTI)

Ultra High Sensitivity Aerosol Spectrometer (UHSASA) A major component of the Mid-latitude Continental Convective Clouds Experiment (MC3E) field campaign was the deployment of an enhanced radiosonde array designed to capture the vertical profile of atmospheric state variables (pressure, temperature, humidity wind speed and wind direction) for the purpose of deriving the large-scale forcing for use in modeling studies. The radiosonde array included six sites (enhanced Central Facility [CF-1] plus five new sites) launching radiosondes at 3-6 hour sampling intervals. The network will cover an area of approximately (300)2 km2 with five outer sounding launch sites and one central launch location. The five outer sounding launch sites are: S01 Pratt, KS [ 37.7oN, 98.75oW]; S02 Chanute, KS [37.674, 95.488]; S03 Vici, Oklahoma [36.071, -99.204]; S04 Morris, Oklahoma [35.687, -95.856]; and S05 Purcell, Oklahoma [34.985, -97.522]. Soundings from the SGP Central Facility during MC3E can be retrieved from the regular ARM archive. During routine MC3E operations 4 radiosondes were launched from each of these sites (approx. 0130, 0730, 1330 and 1930 UTC). On days that were forecast to be convective up to four additional launches were launched at each site (approx. 0430, 1030, 1630, 2230 UTC). There were a total of approximately 14 of these high frequency launch days over the course of the experiment. These files contain brightness temperatures observed at Purcell during MC3E. The measurements were made with a 5 channel (22.235, 23.035, 23.835, 26.235, 30.000GHz) microwave radiometer at one minute intervals. The results have been separated into daily files and the day of observations is indicated in the file name. All observations were zenith pointing. Included in the files are the time variables base_time and time_offset. These follow the ARM time conventions. Base_time is the number seconds since January 1, 1970 at 00:00:00 for the first data point of the file and time_offset is the offset in seconds from base_time.

Tomlinson, Jason; Jensen, Mike

2012-02-28T23:59:59.000Z

245

ARM - ARM Organization  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ARMARM Organization ARMARM Organization Laboratory Partners Nine DOE national laboratories share the responsibility of managing and operating the ARM Climate Research Facility. ARM Group Links Science Board SISC Charter Data Archive Data Management Facility Data Quality Program Engineering Support External Data Center ARM Organization The ARM Climate Research Facility operates field research sites around the world for global change research. Three primary locations-Southern Great Plains, Tropical Western Pacific, North Slope of Alaska-plus aircraft and the portable ARM Mobile Facilities-are heavily instrumented to collect massive amounts of atmospheric measurements needed to create data files. Scientists use these data to study the effects and interactions of sunlight, clouds, and radiant energy, as well as interdisciplinary research

246

ARM - Instrument - rl  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstrumentsrl govInstrumentsrl Documentation RL : Handbook RL : Instrument Mentor Monthly Summary (IMMS) reports RL : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Raman Lidar (RL) Beneficiary of Recovery Act funding. Instrument Categories Aerosols, Atmospheric Profiling Picture of the Raman Lidar (RL) Picture of the Raman Lidar (RL) General Overview The Raman Lidar (RL) is an active, ground-based laser remote sensing instrument that measures vertical profiles of water-vapor mixing ratio and several cloud- and aerosol-related quantities. Lidar (light detection and ranging) is the optical analog of radar, using pulses of laser radiation to probe the atmosphere. This system is fully computer automated, and will run

247

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

January 15, 2010 [Facility News] January 15, 2010 [Facility News] Radiometer Powered Up Down Under for Field Campaign at Gunn Point Bookmark and Share Near the tip of Australia's Northern Territory, Gunn Point is the location for the Darwin ARM Representativeness Experiment, or DARE. This offsite field campaign is obtaining measurements of solar and thermal energy and cloud properties, to compare against similar measurements collected at the permanent ARM site in Darwin, about 25 kilometers to the southwest of Gunn Point. Data collected by instruments at both sites will be compared to help scientists quantify local influences and variability that affect how representative measurements at the Darwin site are compared to the wider area. Radiometers (right) mounted on the roof of a shelter near the C-POL radar (left) confirmed loss of data due to shadowing effects.

248

Microsoft PowerPoint - ARM2008_norfolk.ppt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Properties from CloudSat and ARM Observations at Manus Island Zheng Zheng Liu, Roger Liu, Roger Marchand Marchand , and Thomas Ackerman , and Thomas Ackerman University of Washington Sally McFarlane Sally McFarlane Pacific Northwest National Laboratory 2 Motivation * Radiative heating is important * Cloud vertical differential heating affects local convective dynamics * Horizontal differential heating helps to maintain large scale tropical dynamics * Challenge and solution * Radiative heating calculation requires information about vertical structures of cloud properties * CloudSat mission: a cloud radar in space provide opportunity to observe vertical structure of cloud in global coverage. * Together with ARM surface measurements, it enable us to compare the heating rates retrievals from different perspectives.

249

Microsoft PowerPoint - arm_stm07-poster_matrosov.ppt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

retrievals using mm-wavelength cloud radar measurements retrievals using mm-wavelength cloud radar measurements Sergey Y. Matrosov, Matthew D. Shupe Cooperative Institute for Research in Environmental Sciences, University of Colorado and NOAA Environmental Technology Laboratory Purpose: Extending ARM column hydrometeor retrievals to include solid precipitation cases Approach: Z e -S relations customized for the use with mm- wavelength radars. Using the Doppler information (moments and spectra) for quantitative retrievals in snowfall is limited because snowflake fall velocities do not exhibit clear size dependence ( for D>2 mm or so).The Doppler information, however, provides valuable qualitative information on degree of snowflake riming thus separating "dry" snowfall from cases with substantial

250

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Stratus Microphysical Parameters Using Radar and Visible Stratus Microphysical Parameters Using Radar and Visible Optical Depth Austin, R.T. and Stephens, G.L., Colorado State University, Fort Collins Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting A new algorithm for the retrieval of stratus cloud microphysical parameters was introduced last year and applied to measurements of maritime stratus clouds off the coast of California. The retrieval has been refined and applied to data from the Southern Great Plains CART site, as well as to the original California marine measurements. The poster will describe these refined results, discuss error analysis of the algorithm, show how the retrieval compares with analogous radar-only retrievals, and discuss other products and benefits of the algorithm's estimation theory formulation

251

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

October 25, 2010 [Facility News] October 25, 2010 [Facility News] Testing Underway for New Doppler Lidars Bookmark and Share Two of the three new Doppler lidars are shown here during testing at the Southern Great Plains site in October. Two of the three new Doppler lidars are shown here during testing at the Southern Great Plains site in October. To improve climate models, the scientific community needs accurate and routine measurements of atmospheric winds with high vertical and temporal resolution under clear-air conditions. In particular, measurements of clear-air vertical air velocities will compliment in-cloud vertical velocity measurements from existing 35 and 95 gigahertz ARM cloud radars. In response to this need, three new Doppler lidars were purchased with funds from the American Recovery and Reinvestment Act and began a test

252

Evaluation of cloud fraction and its radiative effect simulated by IPCC AR4 global models against ARM surface observations  

SciTech Connect (OSTI)

Cloud Fraction (CF) is the dominant modulator of radiative fluxes. In this study, we evaluate CF simulations in the IPCC AR4 GCMs against ARM ground measurements, with a focus on the vertical structure, total amount of cloud and its effect on cloud shortwave transmissivity, for both inter-model deviation and model-measurement discrepancy. Our intercomparisons of three CF or sky-cover related dataset reveal that the relative differences are usually less than 10% (5%) for multi-year monthly (annual) mean values, while daily differences are quite significant. The results also show that the model-observation and the inter-model deviations have a similar magnitude for the total CF (TCF) and the normalized cloud effect, and they are twice as large as the surface downward solar radiation and cloud transmissivity. This implies that the other cloud properties, such as cloud optical depth and height, have a similar magnitude of disparity to TCF among the GCMs, and suggests that a better agreement among the GCMs in solar radiative fluxes could be the result of compensating errors in either cloud vertical structure, cloud optical depth or cloud fraction. Similar deviation pattern between inter-model and model-measurement suggests that the climate models tend to generate larger bias against observations for those variables with larger inter-model deviation. The simulated TCF from IPCC AR4 GCMs are very scattered through all seasons over three ARM sites: Southern Great Plains (SGP), Manus, Papua New Guinea and North Slope of Alaska (NSA). The GCMs perform better at SGP than at Manus and NSA in simulating the seasonal variation and probability distribution of TCF; however, the TCF in these models is remarkably underpredicted and cloud transmissivity is less susceptible to the change of TCF than the observed at SGP. Much larger inter-model deviation and model bias are found over NSA than the other sites in estimating the TCF, cloud transmissivity and cloud-radiation interaction, suggesting that the Arctic region continues to challenge cloud simulations in climate models. Most of the GCMs tend to underpredict CF and fail to capture the seasonal variation of CF at middle and low levels in the tropics. The high altitude CF is much larger in the GCMs than the observation and the inter-model variability of CF also reaches maximum at high levels in the tropics. Most of the GCMs tend to underpredict CF by 50-150% relative to the measurement average at low and middle levels over SGP. While the GCMs generally capture the maximum CF in the boundary layer and vertical variability, the inter-model deviation is largest near surface over the Arctic. The internal variability of CF simulated in ensemble runs with the same model is very minimal.

Qian, Yun; Long, Charles N.; Wang, Hailong; Comstock, Jennifer M.; McFarlane, Sally A.; Xie, Shaocheng

2012-02-17T23:59:59.000Z

253

ARM - Evaluation Product - Vertical Air Motion during Large-Scale  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ProductsVertical Air Motion during Large-Scale ProductsVertical Air Motion during Large-Scale Stratiform Rain Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Vertical Air Motion during Large-Scale Stratiform Rain Site(s) NIM SGP General Description The Vertical Air Motion during Large-Scale Stratiform Rain (VERVELSR) value-added product (VAP) uses the unique properties of a 95-GHz radar Doppler velocity spectra to produce vertical profiles of air motion during low-to-moderate (1-20 mm/hr) rainfall events It is designed to run at ARM sites that include a W-band ARM cloud radar (WACR) radar with spectra data processing. The VERVELSR VAP, based on the work of Giangrande et al. (2010), operates by exploiting a resonance effect that occurs in

254

ARM - Feature Stories and Releases Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

2005 Facility News From Coastal Clouds to Desert Dust: ARM Mobile Facility Headed to Africa Bookmark and Share ARM operations staff prepare the ARM Mobile Facility in Point...

255

ARM - Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

May 1, 2009 Facility News Mobile Facility Begins Marine Cloud Study in the Azores Bookmark and Share Located next to the airport on Graciosa Island, the ARM Mobile Facility's...

256

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Boundary Layer Structure and Fair-Weather Cumulus Characteristics at the Boundary Layer Structure and Fair-Weather Cumulus Characteristics at the TWP ARM Site - Comparisons with Other Tropical and Subtropical Sites Albrecht, B. and Kollias, P., University of Miami Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting Fair-weather cumuli are fundamental in regulating the vertical structure of water vapor and entropy in the lowest 2 km of the Earths atmosphere over vast areas of the oceans. Boundary layer structures and cloud characteristics observed at Nauru (ARM TWP) during suppressed convective conditions are compared with those observed at other tropical and subtropical sites. Over three years of data from the mm-wavelength cloud radar and ceilometer observations at the Nauru site are analyzed and a statistical description of the field of fair weather cumulus is inferred.

257

ARM - History and Status of the ARM Program  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ARM has made a significant contribution in improving climate prediction models: radiative heat transfer, radiation absorption, and cirrus cloud properties. ARM scientists use data...

258

Cloud Computing as a Tool to Secure and Manage Information Flow in Swedish Armed Forces Networks.  

E-Print Network [OSTI]

??In the last few years cloud computing has created much hype in the IT world. It has provided new strategies to cut down costs and (more)

Ali, Muhammad

2012-01-01T23:59:59.000Z

259

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

July 28, 2011 [Facility News] July 28, 2011 [Facility News] A Giant Lift for Arctic Climate Data Bookmark and Share A newly installed X-band scanning ARM precipitation radar operates from atop the Barrow Arctic Research Center in Alaska. A newly installed X-band scanning ARM precipitation radar operates from atop the Barrow Arctic Research Center in Alaska. Ushering in the first operational precipitation radar on the U.S. Arctic Coast, engineers completed acceptance testing for the new X-band scanning ARM precipitation radar (X-SAPR) on June 21 at its location atop the Barrow Arctic Research Center in Alaska. Data from the radar are transmitted through a wireless connection to the ARM site data system. With the radar up and running, signal returns on June 24 provided an indication of the

260

Microsoft PowerPoint - arm_stm08-poster_matrosov.ppt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

estimations of cloud and rainfall parameters using ARM and auxiliary instruments estimations of cloud and rainfall parameters using ARM and auxiliary instruments Sergey Y. Matrosov, Matthew D. Shupe Cooperative Institute for Research in Environmental Sciences, University of Colorado and NOAA Environmental Technology Laboratory Purpose: Extending ARM column hydrometeor retrievals to include simultaneous estimations of cloud and rainfall parameters in stratiform precipitating systems Approach: Differential attenuation (MMCR and WACR) radar measurements in the rain layer are used to retrieve cloud LWP and the mean rainfall rate. MMCR measurements in the general mode are then used to estimate IWP above the freezing level. KVNX NEXRAD measurements over the SGP ARM site are used to estimate effects of MMCR signal losses due to

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Validation of Surface Retrieved Cloud Optical Properties with in situ Measurements at the Atmospheric Radiation Measurement Program (ARM) South Great Plains Site  

SciTech Connect (OSTI)

The surface inferred cloud optical properties from a multifilter rotating shadowband radiometer have been validated against the in situ measurements during the second ARM Enhanced Shortwave Experiment (ARESE II) field campaign at the ARM South Great Plains (SGP) site. On the basis of eight effective radius profiles measured by the in situ Forward Spectra Scattering Probe (FSSP), our retrieved cloud effective radii for single-layer warm water clouds agree well with in situ measurements, within 5.5%. The sensitivity study also illustrates that for this case a 13% uncertainty in observed liquid water path (LWP, 20 g/m2) results in 1.5% difference in retrieved cloud optical depth and 12.7% difference in referred cloud effective radius, on average. The uncertainty of the LWP measured by the microwave radiometer (MWR) is the major contributor to the uncertainty of retrieved cloud effective radius. Further, we conclude that the uncertainty of our inferred cloud optical properties is better than 5% for warm water clouds based on a surface closure study, in which cloud optical properties inferred from narrowband irradiances are applied to a shortwave model and the modeled broadband fluxes are compared to a surface pyranometer.

Min, Qilong; Duan, M.; Marchand, Roger T.

2003-09-11T23:59:59.000Z

262

A Millimeter-Wavelength Dual-Polarization Doppler Radar for Cloud and Precipitation Studies  

Science Journals Connector (OSTI)

A pulse Doppler radar system operating at 35 GHz and having full polarization (linear and circular) diversity capability is described. Separate antennas are used for the transmitter and the receiver because this design approach allows better ...

F. Pasqualucci; B. W. Bartram; R. A. Kropfli; W. R. Moninger

1983-05-01T23:59:59.000Z

263

Kinematical relations among radar-observed water concentrations, vertical motions, and liquid-water drop-size spectra in convective clouds  

E-Print Network [OSTI]

and liquid- water concentration, a one-dimensional (vertical) continuity equation for water substance is considered. Atmospheric values of parameters which appear in the continuity equation are determined from radar reflectivity measurements. Empirical... viii I INTRODUCTION Cloud Motions in General Equations Governing Cloud Parameters A Kinematical Equation Based on the Continuity of Water Substance Determinati. on of the Values of the Atmospheric Variables Appearing in the Kinematical Equation...

Runnels, Robert Clayton

2012-06-07T23:59:59.000Z

264

Assessment of Uncertainty in Cloud Radiative Effects and Heating Rates through Retrieval Algorithm Differences: Analysis using 3-years of ARM data at Darwin, Australia  

SciTech Connect (OSTI)

Ground-based radar and lidar observations obtained at the Department of Energys Atmospheric Radiation Measurement Programs Tropical Western Pacific site located in Darwin, Australia are used to retrieve ice cloud properties in anvil and cirrus clouds. Cloud microphysical properties derived from four different retrieval algorithms (two radar-lidar and two radar only algorithms) are compared by examining mean profiles and probability density functions of effective radius (Re), ice water content (IWC), extinction, ice number concentration, ice crystal fall speed, and vertical air velocity. Retrieval algorithm uncertainty is quantified using radiative flux closure exercises. The effect of uncertainty in retrieved quantities on the cloud radiative effect and radiative heating rates are presented. Our analysis shows that IWC compares well among algorithms, but Re shows significant discrepancies, which is attributed primarily to assumptions of particle shape. Uncertainty in Re and IWC translates into sometimes-large differences in cloud radiative effect (CRE) though the majority of cases have a CRE difference of roughly 10 W m-2 on average. These differences, which we believe are primarily driven by the uncertainty in Re, can cause up to 2 K/day difference in the radiative heating rates between algorithms.

Comstock, Jennifer M.; Protat, Alain; McFarlane, Sally A.; Delanoe, Julien; Deng, Min

2013-05-22T23:59:59.000Z

265

Towards a Characterization of Arctic Mixed-Phase Clouds  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Towards a Characterization of Arctic Mixed-Phase Clouds Towards a Characterization of Arctic Mixed-Phase Clouds Shupe, Matthew CIRES/NOAA/ETL Kollias, Pavlos Brookhaven National Laboratory Category: Cloud Properties Mixed-phase clouds play a unique role in the Arctic, where the delicate balance of phases in these clouds can have a profound impact on the surface radiation balance and various cloud-atmosphere-radiation-surface feedback processes. A better understanding of these clouds is clearly important and has been a recent objective of the ARM program. To this end, multiple sensors including radar, lidar, and temperature soundings, have been utilized in an automated cloud type classification scheme for clouds observed at the North Slope of Alaska site. The performance of this new algorithm at identifying mixed-phase cloud conditions is compared with an

266

Toward a Diurnal Climatology of Cold-Season Turbulence Statistics in Continental Stratocumulus as Observed by the Atmospheric Radiation Millimeter- Wavelength Cloud Radars  

SciTech Connect (OSTI)

Numerous observational studies of marine stratocumulus have demonstrated a pronounced diurnal cycle. At night, longwave flux divergence at the top of the cloud drives negatively buoyant eddies that tend to keep the boundary layer well mixed. During the day, solar absorption by the cloud tends to reduce the turbulent intensity and often decouples the planetary boundary layer (PBL) into cloud- and sub-cloud circulations. The delicate balance between turbulent intensity, entrainment, and fluxes dictates cloud geometry and persistence, which can significantly impact the shortwave radiation budget. Millimeter-wavelength cloud radars (MMCRs) have been used to study the turbulent structure of boundary layer stratocumulus (e.g. Frisch et al. 1995; Kollias and Albrecht 2000). Analysis is confined to nondrizzling or lightly drizzling cloud systems for which precipitation contamination is negligible. Under such assumptions the Doppler velocity field becomes a proxy for vertical velocity. Prior research has mainly consisted of a few case studies of specific cloud systems using radar scan strategies optimized for this particular cloud type. The MMCR operating at the Southern Great Plains Atmospheric Radiation Measurement Climate Research Facility is broadly configured to be able to detect many different cloud types over a broad range of reflectivities and altitudes, so it is not specifically optimized for PBL clouds. Being in more-or-less continuous operation since the end of 1996, it does, however, have the advantage of long data coverage, which suggests that statistically significant measures of the diurnal cycle of turbulence should be attainable. This abstract summarizes the first few steps toward this goal, using 7 months of cold season MMCR data.

Mechem, D.B.; Kogan, Y.L.; Childers, M.E.; Donner, K.M.

2005-03-18T23:59:59.000Z

267

Nailing Down Ice in a Cloud Model  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Nailing Down Ice in a Cloud Model Nailing Down Ice in a Cloud Model For original submission and image(s), see ARM Research Highlights http://www.arm.gov/science/highlights/ Research Highlight A research team led by scientists at Pacific Northwest National Laboratory identified specific strengths and weaknesses of four different ice cloud retrieval algorithms. Their comparisons tested the ability of the algorithms to obtain cloud properties from radar and lidar observational measurements. The team noted the sometimes large variances in heating/cooling measurements compared to the observed data. Identifying specific weaknesses will help scientists improve our understanding of cloud properties in the atmosphere, which can be used for climate model development and evaluation. "Measuring the effective size and mass of ice crystals impacts our understanding

268

ARM - Data Announcements Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

November 1, 2012 [Data Announcements] November 1, 2012 [Data Announcements] New Flagship Data Product Launched Bookmark and Share Climate Modeling Best Estimate Transitioned to ARM Best Estimate Data plot from ARM Best Estimate Cloud Radiation VAP demonstrating cloud fraction at Darwin for 2010. Data plot from ARM Best Estimate Cloud Radiation VAP demonstrating cloud fraction at Darwin for 2010. The ARM showcase data set CMBE, previously released as an evaluation product, transitioned to an ARM production data set and became the first two products of the new ARMBE value-added product. The new flagship ARMBE product name will represent all the ARM best estimate products. Transitioning CMBE to ARMBE required changing the metadata to meet ARM production data standards, but also brings the new release of ARM Best

269

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

The Association of the Cirrus Properties Over the Western Tropical Pacific The Association of the Cirrus Properties Over the Western Tropical Pacific with Tropical Deep Convection Deng, M.(a), Mace, G.G.(a), and Soden, B.J.(b), Univesity of Utah (a), Geophysical Fluid Dynamics Laboratory (b) The microphysical and radiative properties of upper tropospheric clouds in the tropics are known to have a substantial influence on climate. Observations from long term cloud radar measurements in the tropics show that upper tropospheric clouds are observed above 10 km as much as 40% of the time depending on location. By combining satellite observations with observations from the tropical ARM site on Nauru and Manus Islands we examine the macro and microphysical properties of these clouds in terms of their association with deep convection. The fundamental questions we will

270

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

The March 2000 Cloud Intensive Observing Period; The Evolution of the The March 2000 Cloud Intensive Observing Period; The Evolution of the Synoptic-Scale Atmosphere and the Associated Cloud Radiative Forcing Mace, G.G.(a), Sonntag, K.L.(b), Kato, S.(c), Poellot, M.(d), Twohy, C.(e), Troth, S.(a), Zhang, Q.(a), and Minnis, P.(c), University of Utah (a), Unviersity of Oklahoma (b), NASA Langley Research Center (c), University of North Dakota (d), Oregon State University (e) During the first 3 weeks of March 2000, an intensive observing period (IOP) was held near the central facility of the Southern Great Plains ARM site. In conjunction with the ARESE II campaign, the objective of this IOP was to observe the 3-dimensional structure of the cloud field using multiple scanning and vertically pointing millimeter radars. In anticipation of

271

Collaborative Research: ARM observations for the development and evaluation of models and parameterizations of cloudy boundary layers  

SciTech Connect (OSTI)

This is a collaborative project with Dr. Ping Zhu at Florida International University. It was designed to address key issues regarding the treatment of boundary layer cloud processes in climate models with UMs research focusing on the analyses of ARM cloud radar observations from MMCR and WACR and FIUs research focusing on numerical simulations of boundary layer clouds. This project capitalized on recent advancements in the ARM Millimeter Cloud Radar (MMCR) processing and the development of the WACR (at the SGP) to provide high temporal and spatial resolution Doppler cloud radar measurements for characterizing in-cloud turbulence, large-eddy circulations, and high resolution cloud structures of direct relevance to high resolution numerical modeling studies. The principal focus of the observational component of this collaborative study during this funding period was on stratocumulus clouds over the SGP site and fair-weather cumuli over the Nauru site. The statistical descriptions of the vertical velocity structures in continental stratocumulus clouds and in the Nauru shallow cumuli that are part of this study represents the most comprehensive observations of the vertical velocities in boundary layer clouds to date and were done in collaboration with Drs. Virendra Ghate and Pavlos Kollias.

Albrecht, Bruce,

2013-07-12T23:59:59.000Z

272

Comparison of Cloud Fraction and Liquid Water Path between ECMWF simulations and ARM long-term Observations at the NSA Site  

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this poster, seasonal and annual variations of this poster, seasonal and annual variations of cloudiness and liquid water path (LWP) from European Center for Medium-Range Weather Forecasts (ECMWF) model were compared with surface measurement from the ARM Climate Research Facility (ARCF) North Slope of Alaska ( N S A ) s i t e b e t we e n J a n u a r y 1 9 9 9 and December 2004. ● Model simulated large scale features match well with observations. ● There are significant differences in cloud vertical and temporal distributions and in the magnitude. FIG. 1: Time-height display of cloud fraction from model simulations and observations in September 1999. ● Model overestimates high clouds, especially in warm seasons. ● Model makes close estimation for middle clouds. ● Model underestimates low clouds in warm seasons, especially in

273

ARM XDC Datastreams  

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CenterExternal Data Streams CenterExternal Data Streams External Data Center Order Data Description of External Data Streams Data Viewers and Plots (selected data sets) XDC Documentation ARM External Datastream Descriptions List by Instrument Category Aerosols TDMADAP: Aerosol Properties derived from TDMA Measurements Atmospheric Carbon FLUXNET: FluxNet: Network of Regional CO2 and Energy Flux Tower Networks Atmospheric Profiling ACARS: Aircraft Communications Addressing and Reporting System GOESWATER: Water Profiles from GOES Satellite Data NWSUPA: National Weather Service Upper Air Measurements SONDE: Balloon-Borne Sounding System SUOMIGPS: SuomiNet Global Positioning System WPDN: Wind Profiler Demo Network WPDNGPS: Wind Profiler Demonstration Network GPS Cloud Properties CPOL: C-Band Polarimetric Radar

274

Use of ARM/NSA Data to Validate and Improve the Remote Sensing Retrieval of Cloud and Surface Properties in the Arctic from AVHRR Data  

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ARM/NSA Data to Validate and Improve the ARM/NSA Data to Validate and Improve the Remote Sensing Retrieval of Cloud and Surface Properties in the Arctic from AVHRR Data X. Xiong QSS Group, Inc. National Oceanic and Atmospheric Administration National Environmental Satellite, Data, and Information Service Office of Research and Applications Camp Springs, Maryland R. Storvold and C. Marty Geophysical Institute University of Alaska Fairbanks, Alaska K. H. Stamnes Stevens Institute of Technology Hoboken, New Jersey B. D. Zak Sandia National Laboratories Albuquerque, New Mexico Introduction Clouds in the Arctic have an important impact on the radiative energy balance. However, the effects of clouds still constitute one of the largest uncertainties in the study of climate change. Because the surface

275

Poster Abstract of Seventeenth ARM STM: Sort by Title  

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7 Science Team Meeting 7 Science Team Meeting 2007 Proceedings Proceedings Sorted by Title Proceedings Sorted by Author Proceedings Sorted by Category Cover image Poster Abstract of the Seventeenth Atmospheric Radiation Measurement (ARM) Science Team Meeting ARM-CONF-2007, March 2007 Monterey, California View poster abstract by Author or Category or Title. 10 Years of External Data ABSTRACT, POSTER Ma, L., Wagener, R., Gregory, L., Liang, M., Tilp, A., and Cialella, A. A Comparison of Broad-band Fluxes at the Main and Auxiliary AMF Sites During the RADAGAST Campaign. ABSTRACT, POSTER Settle, J. A Comparison of Cloud Radar Profiles of Cloud Occurrence with MMF Simulated Radar Profiles as a Function of the Large-Scale Atmospheric State ABSTRACT, POSTER Marchand, R., Beagley, N., and Ackerman, T.

276

ARM Climate Research Facility  

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National Laboratory The Engineering Change Order 01071 was approved to create the Marine ARM GPCI Investigation of Clouds (MAGIC) Navigation Best Estimate (magnavbe) VAP to...

277

ARM - Journal Articles 2010  

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observed during the Tropical Warm Pool-International Cloud Experiment (Citation) Monthly Weather Review ARM Lee Mechanisms of diurnal precipitation over the US Great Plains: a...

278

ARM - Events Article  

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on Cloud and Climate (BAECC), 2014 BRAZIL. Green Ocean Amazon (GOAMAZON), 2014-2015 INDIA. Ganges Valley Aerosol Experiment (GVAX), 2011-2012 MALDIVES. ARM MJO...

279

ARM - Site Instruments  

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Mobility Analyzer Aerosols Browse Data Single installation IRT Infrared Thermometer Radiometric Browse Data Single installation KASACR Ka-Band Scanning ARM Cloud...

280

On Deriving Vertical Air Motions from Cloud Radar Doppler Spectra MATTHEW D. SHUPE  

E-Print Network [OSTI]

on a statistical comparison of four cases comprising nearly 6 h of data. Turbulent dissipation rate comparisons multiple ground-based remote sensors. Corrections for Doppler spectrum broadening due to turbulence, wind the Department of Energy (DOE) Atmospheric Radiation Measurement Program's (ARM) site in Barrow, Alaska, during

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to obtain the most current and comprehensive results.


281

ARM Orientation: Overview and History  

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ARM Orientation: ARM Orientation: Overview and History Warren Wiscombe ARM Chief Scientist Brookhaven & NASA ARM ARM Atmospheric Radiation Measurement Atmospheric Radiation Measurement 2 Mar 2006 ARM Orientation You want me to be Chief Scientist? Can you believe this guy? ARM ARM Atmospheric Radiation Measurement Atmospheric Radiation Measurement 3 Mar 2006 ARM Orientation ARM in a nutshell ARM in a nutshell * * Largest global change research program Largest global change research program funded by the U.S. Department of Energy funded by the U.S. Department of Energy ($44M/yr; ~ ($44M/yr; ~ $10M/yr fo $10M/yr fo r Science Team r Science Team ) ) * * Created to improve cloud and radiation Created to improve cloud and radiation physics and cloud simulation capabilities in physics and cloud simulation capabilities in

282

ARM - Publications: Science Team Meeting Documents  

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A Tale of Two Cirrus A Tale of Two Cirrus Poellot, M.R.(a), Mace, G.G.(b), and Arnott, W.P. (c), University of North Dakota (a), University of Utah (b), Desert Research Institute (c) Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting On May 8, 1998, an orographically-forced cirrus layer overspread the DOE ARM Program's Southern Great Plains site and subsequently became mixed with anvil outflow from thunderstorms. These clouds were sampled in situ by the University of North Dakota Citation aircraft and remotely by an array of ground-based radar, lidar and radiometric instrumentation. The first of two aircraft flights sampled the orographic cirrus through a series of step climbs and spirals. During that time, the cloud was relatively uniform in depth and structure. Shortly after the start of the second flight, the

283

ARM - Publications: Science Team Meeting Documents  

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by deep convection, were observed about 30 percent of the time by the cloud radar. To produce cirrus statistics from the SCM results that are comparable to the cloud radar...

284

A Case Study of Radar Observations and WRF LES Simulations of the Impact of Ground-Based Glaciogenic Seeding on Orographic Clouds and Precipitation. Part I: Observations and Model Validations  

Science Journals Connector (OSTI)

Profiling airborne radar data and accompanying large-eddy-simulation (LES) modeling are used to examine the impact of ground-based glaciogenic seeding on cloud and precipitation in a shallow stratiform orographic winter storm. This storm occurred ...

Xia Chu; Lulin Xue; Bart Geerts; Roy Rasmussen; Daniel Breed

2014-10-01T23:59:59.000Z

285

ARM - Publications: Science Team Meeting Documents  

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Radar Observations of Cloud Occurrence and Large-Scale Atmospheric Fields* Marchand, R., Beagley, N., and Ackerman, T. A Climatology of Clouds and Radiative Forcing*...

286

The use of Doppler radar to predict cloud-to-ground lightning  

E-Print Network [OSTI]

If the National Weather Service could forecast the occurrences of cloud-toground lightning strikes, it would benefit the authorities that are served by the WSR-88Ds. In this thesis I will examine the WSR-88D level 11 archive data from Houston, Texas...

Aclin, Keith Andrew

2012-06-07T23:59:59.000Z

287

Documenting the Life and Death of Clouds | U.S. DOE Office of Science (SC)  

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Documenting Documenting the Life and Death of Clouds News Featured Articles 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 Science Headlines Presentations & Testimony News Archives Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 12.08.11 Documenting the Life and Death of Clouds Office of Science presents results from the world's biggest radar laboratory. Print Text Size: A A A Subscribe FeedbackShare Page Click to enlarge photo. Enlarge Photo A crane positions the topmost portion of the X-band scanning ARM precipitation radar (X-SAPR). ARM Climate Research Facility A crane positions the topmost portion of the X-band scanning ARM precipitation radar (X-SAPR). Today, researchers at the Office of Science's Energy's Atmospheric

288

Atmospheric Radiation Measurement (ARM) Data from the Eastern North Atlantic Site (ENA), Graciosa Island, Azores  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

From May 2009 through December 2010, the ARM Mobile Facility obtained data from a location near the airport on Graciosa Island to support the Clouds, Aerosol, and Precipitation in the Marine Boundary Layer (CAP-MBL) field campaign. The campaign was led by principal investigator Robert Wood. Results from this campaign confirmed that the Azores have the ideal mix of conditions to study how clouds, aerosols, and precipitation interact. This new observation site will have significant enhancements to instruments previously deployed to the Azores, including a Ka-/W-band scanning cloud radar, precipitation radar, and Doppler lidar. It has the full support of the Azorean government and collaborators at the University of the Azores. Los Alamos National Laboratory will operate the site for the ARM Facility.

Wood, Robert

289

Ground-Based Radar  

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Measurement Measurement (ARM) Program A Laboratory for the Study of Clouds and Atmospheric Radiation The Atmospheric Radiation Measurement (ARM) Program A Laboratory for the Study of Clouds and Atmospheric Radiation Tom Ackerman Chief Scientist Tom Ackerman Chief Scientist ARM ARM Atmospheric Radiation Measurement Atmospheric Radiation Measurement Why Study Clouds and Radiation? Why Study Clouds and Radiation? * Clouds control the radiation balance of the planet - top of atmosphere (TOA) and surface - Solar reflectivity at TOA and surface transmission - Infrared loss at TOA and surface heating * Cloud feedback processes (how cloud properties change in response to changes in climate forcing) are the most important and least understood component of climate change simulations * Clouds control the radiation balance of the

290

DOE/SC-ARM-10-021 STORMVEX: The Storm Peak Lab Cloud Property Validation Experiment  

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1 1 STORMVEX: The Storm Peak Lab Cloud Property Validation Experiment Science and Operations Plan J Mace Principal Investigator S Matrosov B Orr M Shupe R Coulter P Lawson A Sedlacek G Hallar L Avallone I McCubbin C Long R Marchand September 2010 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service

291

DOE/SC-ARM/TR-103 Cloud Condensation Nuclei Profile Value-Added  

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3 3 Cloud Condensation Nuclei Profile Value-Added Product S McFarlane C Sivaraman S Ghan October 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or

292

A Bootstrap Technique for Testing the Relationship Between Local-Scale Radar Observations of Cloud Occurrence and Large-Scale Atmospheric Fields  

SciTech Connect (OSTI)

In this paper an atmospheric classification scheme based on fields that are resolved by global climate models (and numerical weather prediction models) is investigated as a mechanism to map the large-scale (synoptic-scale) atmospheric state to distributions of local-scale cloud properties. Using a bootstrap resampling technique, the temporal stability and distinctness of vertical profiles of cloud occurrence (obtained from a vertically pointing millimeter wavelength cloud-radar) are analyzed as a function of the atmospheric state. A stable class-based map from the large-scale to local-scale cloud properties could be of great utility in the analysis of GCM-predicted cloud properties, by providing a physical context from which to understand any differences between the model output and observations, as well as to separate differences (in total distribution) that are caused by having different weather regimes (or synoptic scale activity) rather than problems in the representation of clouds for a particular regime. Furthermore, if sufficiently robust mappings can be established, it could form the basis of a statistical GCM cloud parameterization.

Marchand, Roger T.; Beagley, Nathaniel; Thompson, Sandra E.; Ackerman, Thomas P.; Schultz, David M.

2006-11-01T23:59:59.000Z

293

ARM - Publications: Science Team Meeting Documents  

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The Use of Performance Metrics to Enhance Meteorological Operations The Use of Performance Metrics to Enhance Meteorological Operations Jakob, C.(a), Pincus, R.(b), Hannay, C.(b), and Xu, K.-M.(c), BMRC (a), NOAA/CIRES CDC (b), NASA Langley (c) Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting It is highly desirable to use cloud radar data in the evaluation of model simulations of clouds at various scales. Unfortunately there is an inherent mismatch between the spatial and temporal scales of the models and the observations. Usually this mismatch is overcome by time-averaging the observations and declaring the averages as representative for a given model spatial scale. Here we explore an alternative method of model evaluation that is based on the interpretation of model cloud predictions as probabilistic forecasts at the observation point. First we contrast

294

ARM - Campaign Instrument - uav-proteus-micro  

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us at 1-888-ARM-DATA. Send Campaign Instrument : Proteus Cloud Microphysics Instruments (UAV-PROTEUS-MICRO) Instrument Categories Airborne Observations, Cloud Properties Campaigns...

295

Cloud Properties and Radiative Heating Rates for TWP  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

A cloud properties and radiative heating rates dataset is presented where cloud properties retrieved using lidar and radar observations are input into a radiative transfer model to compute radiative fluxes and heating rates at three ARM sites located in the Tropical Western Pacific (TWP) region. The cloud properties retrieval is a conditional retrieval that applies various retrieval techniques depending on the available data, that is if lidar, radar or both instruments detect cloud. This Combined Remote Sensor Retrieval Algorithm (CombRet) produces vertical profiles of liquid or ice water content (LWC or IWC), droplet effective radius (re), ice crystal generalized effective size (Dge), cloud phase, and cloud boundaries. The algorithm was compared with 3 other independent algorithms to help estimate the uncertainty in the cloud properties, fluxes, and heating rates (Comstock et al. 2013). The dataset is provided at 2 min temporal and 90 m vertical resolution. The current dataset is applied to time periods when the MMCR (Millimeter Cloud Radar) version of the ARSCL (Active Remotely-Sensed Cloud Locations) Value Added Product (VAP) is available. The MERGESONDE VAP is utilized where temperature and humidity profiles are required. Future additions to this dataset will utilize the new KAZR instrument and its associated VAPs.

Comstock, Jennifer

296

Cloud Properties and Radiative Heating Rates for TWP  

SciTech Connect (OSTI)

A cloud properties and radiative heating rates dataset is presented where cloud properties retrieved using lidar and radar observations are input into a radiative transfer model to compute radiative fluxes and heating rates at three ARM sites located in the Tropical Western Pacific (TWP) region. The cloud properties retrieval is a conditional retrieval that applies various retrieval techniques depending on the available data, that is if lidar, radar or both instruments detect cloud. This Combined Remote Sensor Retrieval Algorithm (CombRet) produces vertical profiles of liquid or ice water content (LWC or IWC), droplet effective radius (re), ice crystal generalized effective size (Dge), cloud phase, and cloud boundaries. The algorithm was compared with 3 other independent algorithms to help estimate the uncertainty in the cloud properties, fluxes, and heating rates (Comstock et al. 2013). The dataset is provided at 2 min temporal and 90 m vertical resolution. The current dataset is applied to time periods when the MMCR (Millimeter Cloud Radar) version of the ARSCL (Active Remotely-Sensed Cloud Locations) Value Added Product (VAP) is available. The MERGESONDE VAP is utilized where temperature and humidity profiles are required. Future additions to this dataset will utilize the new KAZR instrument and its associated VAPs.

Comstock, Jennifer

2013-11-07T23:59:59.000Z

297

Surface based remote sensing of aerosol-cloud interactions  

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Surface based remote sensing of aerosol-cloud interactions Surface based remote sensing of aerosol-cloud interactions Feingold, Graham NOAA/Environmental Technology Laboratory Frisch, Shelby NOAA/Environmental Technology Laboratory Min, Qilong State University of New York at Albany Category: Cloud Properties We will present an analysis of the effect of aerosol on clouds at the Southern Great Plains ARM site. New methods for retrieving cloud droplet effective radius with radar (MMCR), multifilter rotating shadowband radiometer (MFRSR), and microwave radiometer (MWR) will be discussed. Relationships based on adiabatic clouds will be used to constrain retrievals. We will investigate the use of a range of proxies for cloud condensation nuclei, ranging from surface measurements of light scattering and accumulation mode number concentration, to lidar-measured extinction or

298

ARM TR-008  

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8 Millimeter Wave Cloud Radar (MMCR) Handbook January 2005 K. B. Widener K. Johnson Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and...

299

ARM - AGU Presentations Featuring ARM Data  

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CenterAGU Presentations Featuring ARM Data CenterAGU Presentations Featuring ARM Data Media Contact Lynne Roeder lynne-dot-roeder-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes89 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 BAECC 1 BBOP 4 MAGIC 12 MC3E 17 SGP 2 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance AGU Presentations Featuring ARM Data Monday, December 13 Presentation Type Session ID and Presentation Title Presenters Time and Location A11H. Atmospheric Sciences General Contributions: Clouds and Aerosol-Cloud Interactions I

300

ARM - User Executive Committee Bios  

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the ARM SGP site during multiple cloud intensive observation periods. More recently, he led an IOP in 2010 at the ARM SPG site to study greenhouse gases. He is currently involved...

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Radar and Microwave Radiometer Data from the Southern Great Plains (SGP) Multi-Angle Satellite Retrieval of Cumulus Thickness at the ARM TWP Site: Validation Tests Stochastic...

302

ARM: Fractional cloud cover, clear-sky and all-sky shortwave flux for each of 25 individual SGP facilities.  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Fractional cloud cover, clear-sky and all-sky shortwave flux for each of 25 individual SGP facilities.

Gaustad, Krista; Gaustad, Krista; McFarlane, Sally; McFarlane, Sally

303

ARM - Publications: Science Team Meeting Documents  

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The Radiative Properties of Uniform and Broken Stratus: An Observational The Radiative Properties of Uniform and Broken Stratus: An Observational and Modelling Study Utilizing the Independent Column Approximation for Solar Radiative Transfer Clothiaux, E.E., The Pennsylvania State University; Barker, H.W., Atmospheric Environment Service of Canada; Kato, S., Hampton University; Dong, X., Analytical Service and Materials, Inc. Ackerman, T.P., The Pennsylvania State University; Liljegren, J.C., Ames Laboratory Ninth Atmospheric Radiation Measurement (ARM) Science Team Meeting The Millimeter-Wave Cloud Radar (MMCR) has operated continuously at the Atmospheric Radiation Measurement (ARM) Program's Southern Great Plains (SGP) site since November 11, 1996. As yet, much of the early data has not been calibrated correctly and insect contamination in the boundary layer is

304

ARM - Field Campaign - MOPITT Campaign  

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Limited number of spectra were obtained for the remaining days because of cloud cover. (4) ARM ground-based solar absorption Fourier transform interferometer (SORTI). SORTI...

305

arm200_v3.ppt  

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Cloud Properties Derived from MSG SEVIRI and ARM Mobile Facility Observations J. Kirk Ayers 1 , Patrick Minnis 2 , Rabindra Palikonda 1 , Christopher Yost 1 , Douglas Spangenberg 1...

306

ARM - Cloud and Rain  

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the movement is from equator towards the poles. This type of circulation has the name Hadley Cell circulation. However, when we look at the winds of the world, we also have to...

307

Use of ARM observations and numerical models to determine radiative and latent heating profiles of mesoscale convective systems for general circulation models  

SciTech Connect (OSTI)

We examined cloud radar data in monsoon climates, using cloud radars at Darwin in the Australian monsoon, on a ship in the Bay of Bengal in the South Asian monsoon, and at Niamey in the West African monsoon. We followed on with a more in-depth study of the continental MCSs over West Africa. We investigated whether the West African anvil clouds connected with squall line MCSs passing over the Niamey ARM site could be simulated in a numerical model by comparing the observed anvil clouds to anvil structures generated by the Weather Research and Forecasting (WRF) mesoscale model at high resolution using six different ice-phase microphysical schemes. We carried out further simulations with a cloud-resolving model forced by sounding network budgets over the Niamey region and over the northern Australian region. We have devoted some of the effort of this project to examining how well satellite data can determine the global breadth of the anvil cloud measurements obtained at the ARM ground sites. We next considered whether satellite data could be objectively analyzed to so that their large global measurement sets can be systematically related to the ARM measurements. Further differences were detailed between the land and ocean MCS anvil clouds by examining the interior structure of the anvils with the satellite-detected the CloudSat Cloud Profiling Radar (CPR). The satellite survey of anvil clouds in the Indo-Pacific region was continued to determine the role of MCSs in producing the cloud pattern associated with the MJO.

Houze, Jr., Robert A. [University of Washington Dept. of Atmospheric Sciences

2013-11-13T23:59:59.000Z

308

ARM - 2008 STM Presentations  

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Presentations Presentations 2008 Meeting 2008 Meeting Home Proceedings Sorted by Author Proceedings Sorted by Title Pictures Posters Presentations Meeting Archives ARM Science Team Meeting Proceedings Past Science Team Meetings 2008 STM Presentations Monday, March 10 ARM Orientation for New and Current PIs Chief Scientist's Perspective (PDF, 5.7MB) Warren Wiscombe ARM Instruments (PDF, 14.7MB) Jimmy Voyles Infrastructure (PDF, 643KB) Jim Mather How to Get Data (PDF, 2MB) Raymond McCord Working Group Sessions Cloud Modeling Working Group 2008 ARM STM Cloud Modeling Working Group Session Agenda (PDF, 11KB) Understanding and Improving CRM and GCM Simulations of Cloud Systems with ARM Observations (PDF, 272KB) Xiaoqing Wu and Qilong Min Interactions of Cumulus Convection and the Boundary Layer at the

309

ARM - Campaign Instrument - aod  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

MAGIC (Marine ARM GPCI Investigation of Clouds), 2012.09.01 - 2013.09.30 Spring 1994 UAV IOP Download Data Southern Great Plains, 1994.04.01 - 1994.04.30 Primary...

310

ARM - PI Product - Combined Retrieval, Microphysical Retrievals & Heating  

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ProductsCombined Retrieval, Microphysical Retrievals & ProductsCombined Retrieval, Microphysical Retrievals & Heating Rates Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Combined Retrieval, Microphysical Retrievals & Heating Rates 2011.10.11 - 2012.02.07 Site(s) GAN General Description Microphysical retrievals and heating rates from the AMIE/Gan deployment using the PNNL Combined Retrieval. The PNNL Combined Remote Sensor retrieval algorithm (CombRet) is designed to retrieve cloud and precipitation properties for all sky conditions. The retrieval is based on a combination of several previously published retrievals, with new additions related to the retrieval of cloud microphysical properties when only one instrument is able to detect cloud (i.e. radar only or lidar only).

311

Failure and Redemption of Multifilter Rotating Shadowband Radiometer (MFRSR)/Normal Incidence Multifilter Radiometer (NIMFR) Cloud Screening: Contrasting Algorithm Performance at Atmospheric Radiation Measurement (ARM) North Slope of Alaska (NSA) and Southern Great Plains (SGP) Sites  

SciTech Connect (OSTI)

Well-known cloud-screening algorithms, which are designed to remove cloud-contaminated aerosol optical depths (AOD) from AOD measurements, have shown great performance at many middle-to-low latitude sites around the world. However, they may occasionally fail under challenging observational conditions, such as when the sun is low (near the horizon) or when optically thin clouds with small spatial inhomogeneity occur. Such conditions have been observed quite frequently at the high-latitude Atmospheric Radiation Measurement (ARM) North Slope of Alaska (NSA) sites. A slightly modified cloud-screening version of the standard algorithm is proposed here with a focus on the ARM-supported Multifilter Rotating Shadowband Radiometer (MFRSR) and Normal Incidence Multifilter Radiometer (NIMFR) data. The modified version uses approximately the same techniques as the standard algorithm, but it additionally examines the magnitude of the slant-path line of sight transmittance and eliminates points when the observed magnitude is below a specified threshold. Substantial improvement of the multi-year (1999-2012) aerosol product (AOD and its Angstrom exponent) is shown for the NSA sites when the modified version is applied. Moreover, this version reproduces the AOD product at the ARM Southern Great Plains (SGP) site, which was originally generated by the standard cloud-screening algorithms. The proposed minor modification is easy to implement and its application to existing and future cloud-screening algorithms can be particularly beneficial for challenging observational conditions.

Kassianov, Evgueni I.; Flynn, Connor J.; Koontz, Annette S.; Sivaraman, Chitra; Barnard, James C.

2013-09-11T23:59:59.000Z

312

Takara_ARM2007  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

The longwave effective cloud fraction derived from The longwave effective cloud fraction derived from measurements with a comparison to shortwave cloud amounts for single layer clouds Ezra E. Takara and Robert G. Ellingson Dept. of Meteorology, Florida State University, Tallahassee, FL 32306 Known clear Derived clear Known overcast Derived overcast Flux Time Introduction This poster describes a comparison of the longwave effective cloud fraction (N e ) to shortwave cloud amounts: the cosine weighted cloud fraction from the Total Sky Imager (TSI), the cloud fraction from the shortwave flux analysis (swfan), and the Whole Sky Imager (WSI). These daytime comparisons are for single low cloud layers in 2000 and 2001 at the ARM SGP Central Facility as described in Ma and Ellingson (2005). Longwave N e The average longwave surface over a large area can be

313

ARM - Education  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govEducation govEducation Education Homeroom-Education and Outreach Information Like a rock that slowly wears away beneath the pressure of a waterfall, our climate is almost imperceptibly changing. Glaciers are getting smaller, droughts are lasting longer, and "extreme weather events" like fires, floods, and tornadoes are occurring with greater frequency. Why? To try and answer that question, scientists use data from the Atmospheric Radiation Measurement (ARM) Climate Research Facility. Instruments at the ARM sites around the world collect data about clouds, precipitation, solar energy, and tiny particles in the air called aerosols. Scientists use that data to study the Earth's climate and develop better ways of predicting what the climate will be like in the future.

314

ARM - Instruments  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstruments govInstruments Instruments Location Table Contacts Instrument Categories Select below to highlight instruments in specified categories. Aerosols Airborne Observations Atmospheric Carbon Measurements of atmospheric carbon are obtained from samples collected at the Southern Great Plains site. For more information about these measurements, see the ARM Carbon Project website. Now available: Aircraft carbon profile samples These data (and more) are freely available in the ARM Archive. The first time you visit the Archive you will need to create a new account-a relatively short form asking for contact information-you can use right away. Coming soon: Airborne continuous CO2 profile samples Atmospheric Profiling Cloud Properties Derived Quantities and Models Ocean Observations

315

ARM - Datastreams - moltsedassfcclass0  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsmoltsedassfcclass0 Datastreamsmoltsedassfcclass0 Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MOLTSEDASSFCCLASS0 Model Output Loc. Time Ser. (MOLTS): EDAS meteor. analy., basic surface, params, stations Active Dates 1997.06.01 - 1999.09.27 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument Model Output Location Time Series (MOLTS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Horizontal wind U_wind Horizontal wind V_wind Precipitation baseflow Cloud fraction cloud_hi Cloud fraction cloud_low Cloud fraction

316

ARM - VAP Process - mwrret  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Productsmwrret Productsmwrret Documentation & Plots Technical Report Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : MWR Retrievals (MWRRET) Instrument Categories Cloud Properties, Atmospheric Profiling, Derived Quantities and Models Image - sample data plot Image - sample data plot There are 2-channel (23.8 and 31.4GHz) microwave radiometers (MWRs) deployed at each ARM Climate Research Facility site. The observed brightness temperatures from these MWRs can be inverted to retrieve precipitable water vapor (PWV) and cloud liquid water path (LWP), both of which are critical variables to understanding radiative transfer in the atmosphere and clouds. The ARM Facility routinely has provided retrieved

317

DOE/SC-ARM-XXXX DOE/SC-ARM-0706 DOE/SC-ARM-0805  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

XXXX XXXX DOE/SC-ARM-0706 DOE/SC-ARM-0805 3 Table of Contents Program Overview ............................................................................................................................................................ 4 The Importance of Clouds and Radiation for Climate Change .................................................................................... 4 ARM Climate Research Facility ................................................................................................................................... 4 Sites Around the World Enable Real Observations ......................................................................................................... 5 Setting the Standard for Ground-Based Climate Observations ........................................................................................

318

ARM - Datastreams - ecmwfvar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsecmwfvar Datastreamsecmwfvar Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : ECMWFVAR ECMWF: model met. and cloud variables at altitude, entire coverage, 1-hr avg Active Dates 1995.04.17 - 2013.12.31 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument European Centre for Medium Range Weather Forecasts Diagnostic Analyses (ECMWFDIAG) Description These data can only be distributed to ARM scientists. ARM scientists who obtain these data must agree to acknowledge use of the data in their publications and not to share the data with others who are not on the ARM Science Team. Measurements The measurements below provided by this product are those considered

319

ARM - Publications: Science Team Meeting Documents: An Assessment...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Stereo-derived Cloud Top Heights Using Cloud Optical Depths Derived from ARM Data Marchand, Roger Pacific Northwest National Laboratory Ackerman, Thomas DOEPacific Northwest...

320

ARM TR-008  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

45 45 Radar Wind Profiler and RASS (RWP50) Handbook November 2004 R. Coulter Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research November 2004, ARM TR-045 Contents 1. General Overview ............................................................................................................................... 1 2. Contacts............................................................................................................................................... 1 3. Deployment Locations and History..................................................................................................... 1 4. Near-Real-Time Data Plots .................................................................................................................

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Evaluation of Simulated Clouds in the Community Atmospheric Model (CAM2): Evaluation of Simulated Clouds in the Community Atmospheric Model (CAM2): Over the Globe and at the ARM Site Zhang, M.H.(a) and Lin, W.Y.(a), Stony Brook University Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting We first compare seasonal climatology of the global distribution of ISCCP-type clouds in the NCAR CAM2 with observations from ISCCP. Model deficiencies in simulated clouds are highlighted. Model capability of simulating the observed response of different cloud types to ENSO is also discussed. We then use ARM cloud measurements at the ARM SGP to compare with the CAM cloud statistics at the same site. It is shown that several model deficiencies in the global cloud distribution are also present at the ARM site. Relevance of these model deficiencies to the interpretation of

322

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

15, 2006 [Facility News] 15, 2006 [Facility News] Radar Wind Profiler Joins ARM Mobile Facility Instrument Suite Bookmark and Share This spring, a 915 MHz radar wind profiler (RWP) was successfully installed at the ARM Mobile Facility (AMF) site in Niamey, Niger, West Africa, for the remainder of the 1-year RADAGAST field campaign which started in January. The RWP will provide information about wind speed, wind direction, and wind shear, and also enable measurements of the turbulence in the lower part of the troposphere. This may be a key variable in determining the vertical distribution of dust in the experimental domain. Gradients in the radar's reflectivity spectrum may also help to provide continuous identification of the depth of the boundary layer in the summer months, when refractive gradients are likely to be maximized by low-level moisture.

323

ARM - ARM Safety Policy  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Safety Policy Safety Policy About Become a User Recovery Act Mission FAQ Outreach Displays History Organization Participants Facility Statistics Forms Contacts Facility Documents ARM Management Plan (PDF, 335KB) Field Campaign Guidelines (PDF, 1.1MB) ARM Climate Research Facility Expansion Workshop (PDF, 1.46MB) Facility Activities ARM and the Recovery Act Contributions to International Polar Year Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send ARM Safety Policy The ARM Climate Research Facility safety policy states that all activities for which the ARM Climate Research Facility has primary responsibility will be conducted in such a manner that all reasonable precautions are taken to protect the health and safety of employees and the general public. All

324

ARM - ARM Science Board  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Research Facility Expansion Workshop (PDF, 1.46MB) Facility Activities ARM and the Recovery Act Contributions to International Polar Year Comments? We would love to hear...

325

ARM poster 2007 Chuang  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Multi-Scale Aerosol/Cloud Interactions from Multi-Scale Aerosol/Cloud Interactions from ARM Measurements to Global Modeling Catherine Chuang, Steve Chin, Shaocheng Xie, James Kelly, and James Boyle Lawrence Livermore National Laboratory, Livermore, CA The Issues  Examine the influence of aerosol compositions on droplet formation and review different cloud nucleation parameterizations.  Investigate impacts of aerosols and autoconversion schemes on cloud properties over SGP with 2-D/3-D cloud resolving models.  Explore the sensitivity of aerosol/cloud interactions to different nucleation parameterizations during TWPICE with NCAR CAM3. (2) Cloud-Scale Experiments This work was performed under the auspices of the U. S. Department of Energy at the University of California Lawrence Livermore National Laboratory under contract No. W-7405-Eng-48.

326

Radar Nowcasting of Cloud-to-Ground Lightning over Houston, Texas RICHARD M. MOSIER,* COURTNEY SCHUMACHER, AND RICHARD E. ORVILLE  

E-Print Network [OSTI]

-to-ground lightning flash from a convective cell. Convective cells were tracked using a modified version of the Storm lightning flashes to find the best lightning forecast criteria. Results show that using 30 dBZ at the 2158. Introduction The forecasting of cloud-to-ground (CG) lightning flashes is of great importance. Curran et al

327

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

30, 2005 [Facility News] 30, 2005 [Facility News] Coastal Clouds Field Campaign Takes Off in July Bookmark and Share The 2-channel NFOV gets careful attention as it joins the suite of instruments collecting data for the ARM Mobile Facility field campaign at Point Reyes National Seashore. The 2-channel NFOV gets careful attention as it joins the suite of instruments collecting data for the ARM Mobile Facility field campaign at Point Reyes National Seashore. Since March 2005, the ARM Mobile Facility (AMF) has been at Point Reyes National Seashore in northern California for the Marine Stratus Radiation, Aerosol, and Drizzle Intensive Operational Period. The goals of this 6-month field campaign are to collect data from cloud/aerosol interactions and to improve understanding of cloud organization that is often associated

328

ARM - Campaign Instrument - wfov-livermore  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Instrument Categories Cloud Properties, SurfaceSubsurface Properties Campaigns Spring UAV Campaign Download Data Off Site Campaign : various, including non-ARM sites,...

329

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

A High-Altitude Cloud Climatology From Satellite Data Hobbs, R. and Rusk, D.J., Aeromet, Inc. Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting Tenuous,...

330

ARM - Publications: Science Team Meeting Documents: Autonomous...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Autonomous Retrieval of Cloud and Aerosol Properties from ARM Micropulse Lidar Flynn, Connor Pacific Northwest National Laboratory Christy, Jason Columbia University Beus, Sherman...

331

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

for an Evolving Tropical Cloud System Barker, H.W., Atmospheric Environment Service of Canada; Fu, Q., Dalhousie University Ninth Atmospheric Radiation Measurement (ARM) Science...

332

ARM TR-047  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

7 7 Cloud Optical Properties from the Multi- Filter Shadowband Radiometer (MFRSRCLDOD): An ARM Value-Added Product December 2004 David D. Turner Chaomei Lo Pacific Northwest National Laboratory - Richland, Washington Qilong Min State University of New York (SUNY) - Albany, New York Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research David D. Turner et al., December 2004, ARM TR-047 Contents 1. Introduction ............................................................................................................................................ 1 2. Input Data ...............................................................................................................................................

333

Cloud and Precipitation Fields Around Darwin in the Transition Season  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

and Precipitation Fields Around Darwin and Precipitation Fields Around Darwin in the Transition Season P. T. May Bureau of Meteorology Research Centre Melbourne, 3001, Victoria, Australia Introduction An interesting, and very relevant question, for the Atmospheric Radiation Measurement (ARM) Program is how cloud characteristics and their seasonal and diurnal variation changes across the tropics. In particular, how does he cloud field around the new SRCS site compare with nearby regions. Thus, the aim of this study is to look at the characteristics of clouds and precipitation in the area around Darwin and to compare the cloud statistics estimated from geostationary meteorological satellite (GMS) satellite data with other nearby regions. Towards this end, GMS satellite imagery and radar data from

334

X:\ARM_19~1\P317-334.WPD  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Figure 1. Plot of the time of maximum wind speed (UTC) from the low-level jets Figure 1. Plot of the time of maximum wind speed (UTC) from the low-level jets observed using the ARM program 915-MHZ radar wind profiler vs. the height of this maximum wind speed (m). Summertime Low-Level Jets Over the Great Plains D. J. Stensrud NOAA/ERL/National Severe Storms Laboratory Norman, Oklahoma S. Pfeifer University of Oklahoma Norman, Oklahoma Introduction The sky over the southern Great Plains Cloud and Atmospheric Radiation Testbed (CART) site of the Atmospheric Radiation Measurement (ARM) Program during the predawn and early morning hours often is partially obstructed by stratocumulus, stratus fractus, or cumulus fractus that are moving rapidly to the north, even though the surface winds are weak. This cloud movement is evidence of the low-level jet (LLJ), a wind speed

335

ARM - Evaluation Product - Quantitative Precipitation Estimates (QPE) from  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ProductsQuantitative Precipitation Estimates (QPE) ProductsQuantitative Precipitation Estimates (QPE) from the CSAPR Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Quantitative Precipitation Estimates (QPE) from the CSAPR Site(s) SGP TWP General Description Precipitation rates from cloud systems can give a fundamental insight into the processes occurring in-cloud. While rain gauges and disdrometers can give information at a single point, remote sensors such as radars can provide rainfall information over a defined area. The QPE value-added product (VAP) takes the Corrected Moments in Antenna Coordinates VAP and maps the Rain_rate_A field onto a Cartesian grid at the surface. This field is the rain rate as determined using the specific attenuation (A, dBZ/km) due to two-way liquid attenuation after Ryzhkov et

336

SGP Cloud and Land Surface Interaction Campaign (CLASIC): Measurement Platforms  

SciTech Connect (OSTI)

The Cloud and Land Surface Interaction Campaign (CLASIC) will be conducted from June 8 to June 30, 2007, at the U.S. Department of Energys Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) Southern Great Plains (SGP) site. Data will be collected using eight aircraft equipped with a variety of specialized sensors, four specially instrumented surface sites, and two prototype surface radar systems. The architecture of CLASIC includes a high-altitude surveillance aircraft and enhanced vertical thermodynamic and wind profile measurements that will characterize the synoptic scale structure of the clouds and the land surface within the ACRF SGP site. Mesoscale and microscale structures will be sampled with a variety of aircraft, surface, and radar observations. An overview of the measurement platforms that will be used during the CLASIC are described in this report. The coordination of measurements, especially as it relates to aircraft flight plans, will be discussed in the CLASIC Implementation Plan.

MA Miller; R Avissar; LK Berg; SA Edgerton; ML Fischer; TJ Jackson; B. Kustas; PJ Lamb; G McFarquhar; Q Min; B Schmid; MS Torn; DD Tuner

2007-06-01T23:59:59.000Z

337

DOE/SC-ARM/TR-095 The Microbase Value-Added Product: A Baseline Retrieval of Cloud  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5 5 The Microbase Value-Added Product: A Baseline Retrieval of Cloud Microphysical Properties M Dunn K Johnson M Jensen May 2011 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or

338

ARM - Datastreams - ncepgfsbrwsfc  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsncepgfsbrwsfc Datastreamsncepgfsbrwsfc Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSBRWSFC NCEP GFS: surface variables at Barrow Active Dates 2001.01.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo1 Surface albedo albedo2 Surface albedo albedo3 Surface albedo albedo4 Precipitation canopy_water Cloud fraction conv_a Cloud base height conv_bpres Cloud top height

339

ARM - Datastreams - moltsedassndclass1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsmoltsedassndclass1 Datastreamsmoltsedassndclass1 Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MOLTSEDASSNDCLASS1 Model Output Loc. Time Ser. (MOLTS): EDAS meteor. analy., enhances soundings, params, stations Active Dates 1997.06.01 - 2013.07.31 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument Model Output Location Time Series (MOLTS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Cloud fraction cloud_fract Atmospheric moisture cloud_h2o_mix Latent heat flux conv_lat_heat Atmospheric moisture humid Ice water content

340

ARM - Instrument - ccn  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstrumentsccn govInstrumentsccn Documentation CCN : Instrument Mentor Monthly Summary (IMMS) reports CCN : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Cloud Condensation Nuclei Particle Counter (CCN) Instrument Categories Aerosols, Airborne Observations A cloud condensation nuclei counter consists of a flow column set up to create thermodynamically unstable controlled variable supersaturation conditions in the air sample stream and optically counts the particles that can form cloud droplets as a function of supersaturation. The CCN is part of the Aerosol Observing System (AOS). Output Datastreams aosccn : Aerosol Observing System (AOS): cloud condensation nuclei

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Scientists Convene in Australia to Plan International Cloud Experiment Scientists Convene in Australia to Plan International Cloud Experiment Bookmark and Share During TWP-ICE, cloud property data will be obtained from numerous research aircraft and a network of surface-based remote sensing sites, including a ship operating in the Timor Sea and numerous ground sites in a 200 km diameter around the ARM Climate Research Facility site in Darwin, Australia. During TWP-ICE, cloud property data will be obtained from numerous research aircraft and a network of surface-based remote sensing sites, including a ship operating in the Timor Sea and numerous ground sites in a 200 km diameter around the ARM Climate Research Facility site in Darwin, Australia. Coming from as far away as Italy, Switzerland, and the United States, a 45 member team gathered in Darwin, Australia, in mid-November to discuss plans

342

ARM - Datastreams - ncepgfsmansfc  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsncepgfsmansfc Datastreamsncepgfsmansfc Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSMANSFC NCEP GFS: surface variables at Manus Active Dates 2001.01.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo1 Surface albedo albedo2 Surface albedo albedo3 Surface albedo albedo4 Precipitation canopy_water Cloud fraction conv_a Cloud base height conv_bpres Cloud top height

343

ARM XDC Datastreams  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

StreamsMinnis Cloud Products Using StreamsMinnis Cloud Products Using Visst Algorithm Documentation VISST Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Minnis Cloud Products Using Visst Algorithm (VISST) Information updated on March 29, 2013, 8:35 pm GMT General Data Description These data streams contain satellite based retrievals of cloud and radiation properties by Pat Minnis' group at NASA/Langley using the VISST (Visible Infrared Solar-Infrared Split Window Technique) algorithm. The data streams are both pixel-level (4-km) retrievals and gridded area averages on a 0.3 or 0.5 degree latitude-longitude grid. These data streams replace earlier satellite based retrievals that were

344

ARM - Datastreams - ncepgfsnausfc  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsncepgfsnausfc Datastreamsncepgfsnausfc Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSNAUSFC NCEP GFS: flux variables at Nauru Active Dates 2001.01.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo1 Surface albedo albedo2 Surface albedo albedo3 Surface albedo albedo4 Precipitation canopy_water Cloud fraction conv_a Cloud base height conv_bpres Cloud top height

345

ARM News  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AMF2 Arrives in Finland Thu, 02 Jan AMF2 Arrives in Finland Thu, 02 Jan 2014 15:20:50 +0000 Publication Notice: 13 New References Available Tue, 31 Dec 2013 22:58:51 +0000 New Brochure Highlights Advances in Atmospheric Science Tue, 31 Dec 2013 09:35:40 +0000 Pole Position: New Field Campaigns Explore Arctic and Antarctic Atmosphere Mon, 30 Dec 2013 00:01:43 +0000 Effect of Environmental Instability on the Sensitivity of Convection to the Rimed Ice Species Fri, 13 Dec 2013 23:04:03 +0000 Publication Notice: New Journal Reference Available Wed, 11 Dec 2013 21:12:19 +0000 All Mixed Up—Probing Large and Small Scale Turbulence Structures in Continental Stratocumulus Clouds Mon, 09 Dec 2013 15:38:33 +0000 ARM Facility Insights at the 2013 AGU Fall Meeting Fri, 06 Dec 2013 15:12:38

346

ARM - Datastreams - ecmwfsupp  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsecmwfsupp Datastreamsecmwfsupp Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : ECMWFSUPP ECMWF: supplemental data, entire coverage Active Dates 1996.10.01 - 2013.11.30 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument European Centre for Medium Range Weather Forecasts Model Data (ECMWF) Description These data can only be distributed to ARM scientists. ARM scientists who obtain these data must agree to acknowledge use of the data in their publications and not to share the data with others who are not on the ARM Science Team. Measurements The measurements below provided by this product are those considered

347

ARM - Data Announcements Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Surface Cloud Condensation Nuclei Average Evaluation Product Available Surface Cloud Condensation Nuclei Average Evaluation Product Available Bookmark and Share This plot shows the concentration of CCN measured by the cloud condensation particle counter versus the concentration measured by the condensation particle counter. This plot shows the concentration of CCN measured by the cloud condensation particle counter versus the concentration measured by the condensation particle counter. Aerosol observing systems (AOS) at ARM's sites measure cloud condensation nuclei (CCN) at several supersaturations using a single-column CCN counter. The Average of Cloud Condensation Nuclei from AOS (AOSCCNAVG) value-added product (VAP) was developed to consolidate the relevant CCN parameters into a single file and average data over the 5-minute integration time of each

348

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Happy New (fiscal) Year! Cloud Droplet Probe Arrives in Time for SPARTICUS Happy New (fiscal) Year! Cloud Droplet Probe Arrives in Time for SPARTICUS Bookmark and Share The new cloud droplet probe, from Droplet Measurement Technologies, has angled tips to deflect particles away from the beam path and minimize the effects of "forward scattering." The new cloud droplet probe, from Droplet Measurement Technologies, has angled tips to deflect particles away from the beam path and minimize the effects of "forward scattering." Kicking off the new fiscal year, on October 1 the ARM Aerial Facility received the first component - a cloud droplet probe (CDP) - of many new aircraft research instruments that will arrive in the coming year through funding from the American Recovery and Reinvestment Act. Designed to measure the size distribution of cloud particles, the new probe

349

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Seasonal Variability in Cloud Cover, Cloud Base Height, and Cloud Liquid Seasonal Variability in Cloud Cover, Cloud Base Height, and Cloud Liquid Water Content at the North Slope of Alaska and the Adjacent Arctic Ocean Takara, E.E. and Ellingson, R.G., University of Maryland Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting It is well known that complete radiative transfer calculations for broken cloud fields are extremely complex and time consuming. Furthermore, the solution for a particular broken cloud field is not particularly useful for evaluating cloud effects. For that reason, is common to parameterize the cloud effects by using an effective cloud fraction. In general circulation models, it is common to use theabsolute cloud amount as the effective cloud fractions. This can be an effective for cloud fields where the cloud

350

arm09  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

dry are the Subtropics? or: dry are the Subtropics? or: How did the ARM MP183 end up in the Southeast Pacific? Paquita Zuidema U of Miami Maria Cadeddu Argonne NL (Chile) Arica ERBE net cloud forc. !"#$$$%&'$()!(*!(+!(,!(- $ $ ./01 2 3 4(" -(" ,(" 5*6 2*6 )*6 *6 ( 5( +( 4( )2( )*( 20S Oct mean LWP 85W 0 50 100 150 LWP (g m -2 ) a) 0 50 100 150 LWP (Lieb87,G57; g m -2 ) -30 -20 -10 0 10 LWP diff. (g m -2 ) b) EPIC (2001) 6 research cruises < 2008 more modern gaseous absorption models (Rosenkranz 1998, Liljegren 2005) produce lower LWPs than Liebe 1987 Zuidema et al. 2005 (Prosensing)183 GHz GVR 2-channel MWR (Peter Minnett) ARM Radiometrics 183 NOAA 90 GHz 0 50 100 150 200 Frequency (GHz) 50 100 150 200 250 300 T b (K) 2.33 (90%) 1.30 (10%) wvp (mm) clear-sky spectra of 10th and 90th percentile VOCALS-REx domain soundings

351

ARM - Datastreams - 915rwptempcon  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

rwptempcon rwptempcon Documentation Data Quality Plots Citation DOI: 10.5439/1025131 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example 915rwptempcon Archive Data Plot Example 915rwptempcon Archive Data Plot Datastream : 915RWPTEMPCON 915-MHz Radar Wind Profiler/RASS (RWP915): temperature consensus data Active Dates 1997.04.01 - 2011.06.13 Measurement Categories Atmospheric State Originating Instrument Radar Wind Profiler (RWP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Averaging interval min avgint ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

352

ARM - Datastreams - 915rwpwindcon  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

rwpwindcon rwpwindcon Documentation Data Quality Plots Citation DOI: 10.5439/1025135 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example 915rwpwindcon Archive Data Plot Example 915rwpwindcon Archive Data Plot Datastream : 915RWPWINDCON 915-MHz Radar Wind Profiler/RASS (RWP915): wind consensus data Active Dates 2001.03.27 - 2014.01.02 Measurement Categories Atmospheric State Originating Instrument Radar Wind Profiler (RWP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Averaging interval min avgint ( time, power ) Azimuth of beam 0 deg azimuth0 ( power )

353

ARM - Datastreams - 1290bsrwpprecipavg  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

bsrwpprecipavg bsrwpprecipavg Documentation Data Quality Plots Citation DOI: 10.5439/1095572 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 1290BSRWPPRECIPAVG 1290-MHz Beam-Steered Radar Wind Profiler: Precipitation Datastream Active Dates 2012.12.12 - 2013.06.03 Measurement Categories Atmospheric State Originating Instrument Radar Wind Profiler (RWP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt MET data averaging interval. s averaging_interval ( mode ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

354

ARM - Instrument - rwp  

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govInstrumentsrwp govInstrumentsrwp Documentation RWP : Handbook RWP : Instrument Mentor Monthly Summary (IMMS) reports RWP : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Radar Wind Profiler (RWP) Instrument Categories Atmospheric Profiling General Overview The radar wind profiler/radio acoustic sounding system (RWP/RASS), available in 915-MHz (for U.S. deployments) and 1290-MHz (for deployments outside the U.S.), measures wind profiles and backscattered signal strength between (nominally) 0.1 km and 5 km and virtual temperature profiles between 0.1 km and 2.5 km. It operates by transmitting electromagnetic energy into the atmosphere and measuring the strength and frequency of

355

ARM - Facility News Article  

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January 18, 2012 [Facility News] January 18, 2012 [Facility News] Wind Profiler Completes Offsite Campaign Bookmark and Share The radar wind profiler operates by sending pulses of energy into the sky and measuring the strength and frequency of returned energy. The radar wind profiler operates by sending pulses of energy into the sky and measuring the strength and frequency of returned energy. Between November 2010 and November 2011, a handful of meteorological instruments-including Doppler sodar, ultrasonic anemometers, and one of ARM's radar wind profilers-gathered massive amounts of data for the Columbia Basin Wind Energy Study. To ensure that the data collected represent conditions experienced by real wind plants, the instruments were placed next to an operating wind farm on the eastern border of Washington

356

ARM TR-008  

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09 09 Continuous Profiles of Cloud Microphysical Properties for the Fixed Atmospheric Radiation Measurement Sites June 2006 Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research June 2006, ARM-0609 Contents 1 Background ............................................................................................................................... 1 2 Scientific Relevance.................................................................................................................. 1 3 Results....................................................................................................................................... 1 4 Contacts.....................................................................................................................................

357

Planetary radar astronomy  

Science Journals Connector (OSTI)

Radar is a powerful technique that has furnished otherwise unavailable information about solar system bodies for three decades. The advantages of radar in planetary astronomy result from (1) the observer's control of all the attributes of the coherent signal used to illuminate the target, especially the wave form's time/frequency modulation and polarization; (2) the ability of radar to resolve objects spatially via measurements of the distribution of echo power in time delay and Doppler frequency; (3) the pronounced degree to which delay-Doppler measurements constrain orbits and spin vectors; and (4) centimeter-to-meter wavelengths, which easily penetrate optically opaque planetary clouds and cometary comae, permit investigation of near-surface macrostructure and bulk density, and are sensitive to high concentrations of metal or, in certain situations, ice. Planetary radar astronomy has primarily involved observations with Earth-based radar telescopes, but also includes some experiments with a spaceborne transmitter or receiver. In addition to providing a wealth of information about the geological and dynamical properties of asteroids, comets, the inner planets, and natural satellites, radar experiments have established the scale of the solar system, have contributed significantly to the accuracy of planetary ephemerides, and have helped to constrain theories of gravitation. This review outlines radar astronomical techniques and describes principal observational results.

Steven J. Ostro

1993-10-01T23:59:59.000Z

358

ARM - Events Article  

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2, 2009 [Events] 2, 2009 [Events] Fall 2009 ARM Cloud Modeling & Aersol Working Groups Meeting Bookmark and Share The ARM Cloud Modeling and Aerosol Working Groups Joint Meeting will be held September 29, 2009, to October 2, 2009, at the Millennium Harvest House in Boulder, Colorado. Combined sessions for the aerosol indirect effect discussion will be held September 30 and October 1. Meetings regarding ISDAC will be held on October 1 and a combined poster session will be held that evening. The registration fee is $110 for the full meeting. For those attending only the ISDAC meetings, the cost is $35. An additional $26 fee is required to attend the poster session dinner. The registration deadline is September 15, 2009; register online at http://www.arm.gov/meetings/register.

359

ARM - Data Announcements Article  

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August 25, 2009 [Data Announcements] August 25, 2009 [Data Announcements] Shortwave Flux Analysis Extended to North Slope of Alaska Bookmark and Share This summer, the ARM Radiative Processes Working Group released an extension of the Shortwave Flux Analysis value-added product to include data from the ARM North Slope of Alaska locale. Originally released in 2004, the Shortwave Flux Analysis VAP was developed to infer clear-sky shortwave, shortwave cloud effects, and fractional sky cover from shortwave measurements at the ARM Southern Great Plains and Tropical Western Pacific sites. This VAP has been used to study the effects of clouds on the surface radiation budget and now, with the addition of data collected at the North Slope since 1999, can also benefit Arctic climate research efforts. The

360

ARM - Facility News Article  

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Guest Instruments to Collect Aerosol Data During Coastal Field Campaign Guest Instruments to Collect Aerosol Data During Coastal Field Campaign Bookmark and Share The counter-flow virtual impactor (inset), which can characterize aerosol particles in cloud droplets, joins a number of other guest instruments at the ARM Mobile Facility deployment site at Point Reyes National Seashore in California. The counter-flow virtual impactor (inset), which can characterize aerosol particles in cloud droplets, joins a number of other guest instruments at the ARM Mobile Facility deployment site at Point Reyes National Seashore in California. The ARM Mobile Facility's (AMF's) inaugural field campaign, the Marine Stratus Radiation Aerosol and Drizzle (MASRAD) Intensive Operational Period, is well underway at Point Reyes National Seashore on the northern

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

ARM - VAP Product - armbecldrad  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Productsarmbearmbecldrad Productsarmbearmbecldrad Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1095314 DOI: 10.5439/1039926 Central Facility, Lamont, OK (SGP C1) DOI: 10.5439/1039927 Central Facility, Barrow AK (NSA C1) DOI: 10.5439/1039928 Central Facility, Manus I., PNG (TWP C1) DOI: 10.5439/1039929 Central Facility, Nauru Island (TWP C2) DOI: 10.5439/1039930 Central Facility, Darwin, Australia (TWP C3) [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : ARMBECLDRAD ARMBE: Cloud Radiation measurements Active Dates 1996.01.01 - 2011.01.01 Originating VAP Process ARM Best Estimate Data Products : ARMBE Description The ARMBE Cloud Radiation (ARMBECLDRAD) VAP contains a best estimate of

362

Poster Abstract of Eighteenth ARM STM: Sort by Title  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

with Multiscale Modeling Framework (MMF) Simulated Radar Profiles ABSTRACT, POSTER Marchand, R., Ackerman, T., and Beagley, N. A Comparison of Heating Rates and Related Cloud...

363

ARM - Publications: Science Team Meeting Documents  

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Improved Retrieval Of Cloud Liquid Water Path For ARM Microwave Improved Retrieval Of Cloud Liquid Water Path For ARM Microwave Radiometers Liljegren, J.C., Ames Laboratory Eighth Atmospheric Radiation Measurement (ARM) Science Team Meeting The Atmospheric Radiation Measurement (ARM) Program has deployed dual-frequency microwave water radiometers (MWRs) at its Cloud and Radiation Testbed (CART) sites in the U. S. Southern Great Plains (SGP), the Tropical Western Pacific (TWP), and the North Slope of Alaska/Adjacent Arctic Ocean (NSA/AAO). Although the integrated water vapor amount provided by these instruments has enjoyed increasing application, the primary purpose of these instruments has been to provide measurements of the integrated liquid water path in clouds. The liquid water path measurements have been widely used by ARM investigators to test cloud life cycle

364

ARM - VAP Process - sfccldgrid  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Productssfccldgrid Productssfccldgrid Documentation & Plots Technical Report Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Surface Cloud Grid (SFCCLDGRID) Instrument Categories Cloud Properties, Derived Quantities and Models The Surface Cloud Grid VAP uses as input the 15-minute output from the Shortwave Flux Analysis VAP (Long, 2001; Long and Ackerman, 2000; Long et al., 1999) from the Southern Great Plains (SGP) Central and Extended Facilities. It applies a multi-pass weighted sum analytic approximation technique (Caracena, 1987), which uses Gaussian weighting and an imposed scale length, to interpolate to a 0.25 degree by 0.25 degree lat/long grid

365

ARM - Datastreams - ncepgfsdarflx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsncepgfsdarflx Datastreamsncepgfsdarflx Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSDARFLX NCEP GFS: flux variables at Darwin Active Dates 2002.09.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo Precipitation conv_precip Soil heat flux ground_hflx Cloud fraction high_a Planetary boundary layer height hpbl Latent heat flux lat_heat Cloud fraction

366

ARM - Instrument - vceil  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstrumentsvceil govInstrumentsvceil Documentation VCEIL : Handbook VCEIL : Instrument Mentor Monthly Summary (IMMS) reports VCEIL : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Vaisala Ceilometer (VCEIL) Beneficiary of Recovery Act funding. Instrument Categories Cloud Properties, Atmospheric Profiling Picture of the Vaisala Ceilometer (Model CL31) Picture of the Vaisala Ceilometer (Model CL31) General Overview The Vaisala Ceilometer (VCEIL) is a self-contained, ground-based, active, remote-sensing device designed to measure cloud-base height, vertical visibility, and potential backscatter signals by aerosols. It detects up to three cloud layers simultaneously. Model CL31 has a maximum vertical range

367

ARM - VAP Process - visst  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Productsvisst Productsvisst Documentation & Plots visst : XDC documentation Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Minnis Cloud Products Using Visst Algorithm (VISST) Instrument Categories Cloud Properties, Satellite Observations General Overview Satellite based retrievals of cloud and radiation properties are available in this value-added product provided by Pat Minnis' group at NASA/Langley using the VISST (Visible Infrared Solar-Infrared Split Window Technique) algorithm. These datastreams are both pixel-level (4-km) retrievals and averages on a 0.3 or 0.5 degree latitude-longitude grid and replace earlier satellite-based retrievals on the Layered Bispectral Threshold Method

368

ARM - Datastreams - ncepgfsmanflx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsncepgfsmanflx Datastreamsncepgfsmanflx Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSMANFLX NCEP GFS: flux variables at Manus Active Dates 2001.01.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo Precipitation conv_precip Soil heat flux ground_hflx Cloud fraction high_a Planetary boundary layer height hpbl Latent heat flux lat_heat Cloud fraction

369

ARM - Datastreams - ncepgfsbrwflx  

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Datastreamsncepgfsbrwflx Datastreamsncepgfsbrwflx Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSBRWFLX NCEP GFS: flux variables at Barrow Active Dates 2001.01.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo Precipitation conv_precip Soil heat flux ground_hflx Cloud fraction high_a Planetary boundary layer height hpbl Latent heat flux lat_heat Cloud fraction

370

ARM - Datastreams - ncepgfsflx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsncepgfsflx Datastreamsncepgfsflx Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSFLX NCEP GFS: flux variables Active Dates 2001.01.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo Precipitation conv_precip Soil heat flux ground_hflx Cloud fraction high_a Planetary boundary layer height hpbl Latent heat flux lat_heat Cloud fraction low_a

371

ARM - Measurement - Hydrometeor image  

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image image ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Hydrometeor image Images of hydrometeors from which one can derive characteristics such as size and shape. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. Field Campaign Instruments LEARJET : Lear Jet PARTIMG : Particle imager UAV-PROTEUS-MICRO : Proteus Cloud Microphysics Instruments SPEC-CPI : Stratton Park Engineering Company - Cloud particle imager UAV-PROTEUS : UAV Proteus

372

ARM - Datastreams - noaaaosccn100  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsnoaaaosccn100 Datastreamsnoaaaosccn100 Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NOAAAOSCCN100 Aerosol Observing System (AOS): cloud condensation nuclei data Active Dates 2009.04.16 - 2013.05.04 Measurement Categories Aerosols, Cloud Properties Originating Instrument Cloud Condensation Nuclei Particle Counter (CCN) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable AOS CCN sample pressure hPa CCN_P_sample ( time ) AOS CCN volumetric flowrate of sample air cm^3/minute CCN_Q_sample ( time ) AOS CCN volumetric flowrate of sheath air cm^3/minute CCN_Q_sheath ( time )

373

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5, 2010 [Data Announcements, Facility News] 5, 2010 [Data Announcements, Facility News] New Datastream Identifies Nauru Data Influenced by Clouds Bookmark and Share A new data set that identifies periods when Nauru data may be affected by island-influenced clouds has been produced by Chuck Long, site scientist for the ARM Tropical Western Pacific site. The Nauru island effect (NIE) data set currently covers the period from September 2005 to May 2010 and will be updated periodically as new data are obtained. This data set will help scientists in their analysis of cloud and radiation data at Nauru and will enable them to perform more relevant comparisons of observations and model results. This conceptual model of the Nauru island effect phenomenon shows the location of the ARM and auxiliary Licor shortwave radiometer sites.

374

ARM - VAP Product - aosccnavg  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Productsaosccnavgaosccnavg Productsaosccnavgaosccnavg Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1095312 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : AOSCCNAVG Aerosol Observing System (AOS): cloud condensation nuclei data, averaged Active Dates 2007.05.19 - 2014.01.05 Originating VAP Process Aerosol Observing System (AOS): cloud condensation nuclei data, averaged : AOSCCNAVG Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Cloud condensation nuclei Number concentration of CCN 1/cm^3 N_CCN ( time ) Size distribution of activated nuclei unitless N_CCN_dN ( time, droplet_size )

375

ARM - ARM at AGU 2011  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance ARM at AGU 2011 ARM at AGU User...

376

ARM - Measurement - Virtual temperature  

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govMeasurementsVirtual temperature govMeasurementsVirtual temperature ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Virtual temperature The virtual temperature Tv = T(1 + rv/{epsilon}), where rv is the mixing ratio, and {epsilon} is the ratio of the gas constants of air and water vapor ( 0.622). Categories Atmospheric State Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments CO2FLX : Carbon Dioxide Flux Measurement Systems MWRP : Microwave Radiometer Profiler RWP : Radar Wind Profiler

377

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

6, 2012 [Facility News] 6, 2012 [Facility News] News Tips from 2012 EGU General Assembly Bookmark and Share The ARM Facility is attending the 2012 European Geophysical Union General Assembly at the Austria Center in Vienna for the first time. The ARM Facility is attending the 2012 European Geophysical Union General Assembly at the Austria Center in Vienna for the first time. VIENNA - The U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) Climate Research Facility is the world's most comprehensive outdoor laboratory and data archive for research related to atmospheric processes that affect Earth's climate. At the European Geophysical Union (EGU) General Assembly 2012 in Vienna, find out how scientists use the ARM Facility to study the interactions between clouds,

378

ARM - Campaign Instrument - aerosmassspec  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstrumentsaerosmassspec govInstrumentsaerosmassspec Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Aerosol Mass Spectrometer (AEROSMASSSPEC) Instrument Categories Aerosols, Atmospheric Carbon, Airborne Observations Campaigns 2006 MAX-Mex-Megacity Aerosol eXperiment - Mexico City [ Download Data ] Off Site Campaign : various, including non-ARM sites, 2006.03.03 - 2006.03.28 2007 Cumulus Humilis Aerosol Process Study (CHAPS) [ Download Data ] Off Site Campaign : various, including non-ARM sites, 2007.06.04 - 2007.06.25 2008 VAMOS Ocean-Cloud-Atmos-Land Study (VOCALS) [ Download Data ] Off Site Campaign : various, including non-ARM sites, 2008.10.14 - 2008.11.13 Carbonaceous Aerosol and Radiative Effects Study (CARES) [ Download Data ]

379

ARM - Instrument - ncepgfs  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstrumentsncepgfs govInstrumentsncepgfs Documentation NCEPGFS : XDC documentation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : National Centers for Environment Prediction Global Forecast System (NCEPGFS) Instrument Categories Derived Quantities and Models General Overview Since 2001, NCEP NWP forecasts (global spectral model) have been processed by Hualu Pan at NCEP/EMC and archived by Stephen Krueger at University of Utah to produce station-like column outputs at locations corresponding to the ARM and other field campaign sites. All data from Jan 2001 up to now have been re-processed by Fanglin Yang for easy access, for comparison with ARM observations, and for driving single column models and cloud resolving

380

ARM - Journal Articles 2003  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 3 Publications Journal Articles Conference Documents Program Documents Technical Reports Publications Database Public Information Materials Image Library Videos Publication Resources Submit a Publication Publishing Procedures ARM Style Guide (PDF, 448KB) Acronyms Glossary Logos Contacts RSS for Publications Journal Search [ Advanced Search ] Publication Years 2013 149 2012 163 2011 185 2010 197 2009 213 2008 174 2007 150 2006 213 2005 139 2004 141 2003 187 2002 205 2001 207 2000 232 1999 136 1998 172 1997 103 1996 84 1995 124 1994 65 1993 51 1992 47 1991 25 1990 12 1986 1 Journal Articles : 2003 Author Article Title Journal Funded By Dong Arctic stratus cloud properties and radiative forcing at the ARM NSA site (Citation) J. Climate ARM Zurovac-Jevtic Development and test of a cirrus parameterization scheme using NCAR CCM3 (Citation) Journal of the Atmospheric Sciences ARM

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

ARM - Datastreams - ecmwften  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsecmwften Datastreamsecmwften Documentation Data Quality Plots Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : ECMWFTEN ECMWF: total and physical tendencies for met and cloud vars, entire coverage, 1-hr avg Active Dates 1995.04.17 - 2013.12.31 Measurement Categories Atmospheric State Originating Instrument European Centre for Medium Range Weather Forecasts Diagnostic Analyses (ECMWFDIAG) Description These data can only be distributed to ARM scientists. ARM scientists who obtain these data must agree to acknowledge use of the data in their publications and not to share the data with others who are not on the ARM Science Team. Measurements The measurements below provided by this product are those considered scientifically relevant.

382

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Comparison of ARM Cloud Property Observations with CRM Simulations Comparison of ARM Cloud Property Observations with CRM Simulations Xu, K.-M. (a), Cederwall, R.T. (b), Xie, S.C. (b), and Yio, J.J. (b), NASA Langley Research Center (a), Lawrence Livermore National Laboratory (b) Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting The cloud property observations are compared with cloud-resolving model simulated cloud properties in this study, using the Summer 1997 Intensive Observation Period (IOP) data of the ARM program. Midlatitude continental cumulus convection are simulated by seven 2-D and two 3-D cloud resolving models (CRMs), driven by observed large-scale advective temperature and moisture tendencies, surface turbulence fluxes, and radiative heating profiles during three subperiods of the Summer 1997 IOP. Each subperiod

383

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Comparison of Stratus Cloud Optical Depths Retrieved from Surface and GOES Comparison of Stratus Cloud Optical Depths Retrieved from Surface and GOES Measurements over the SGP ARM Central Facility Dong, X., and Smith, W.L. Jr., Analytical Services and Materials, Inc.; Minnis, P., NASA Langley Research Center Eighth Atmospheric Radiation Measurement (ARM) Science Team Meeting For reliable application of satellite datasets in cloud process and single column models, it is important to have a reasonable estimate of the errors in the observed cloud properties. When properly used, ground-based instruments can provide a cloud truth dataset for estimating errors in the satellite products. Data taken during the spring 1994 ARM Intensive Observation Period (IOP), ARM Enhanced Shortwave Experiment (ARESE), and SUbsonic Aircraft Contrail and Cloud Effects Special Study (SUCCESS) are

384

DOE/EA-1193: Environmental Assessment for the Atmospheric Radiation Measurement (ARM) Program North Slope of Alaska and Adjacent Artic Ocean Cloud and Radiation Testbed (CART) Site (February 1997)  

Broader source: Energy.gov (indexed) [DOE]

u. S. DEPARTMENT OF ENERGY u. S. DEPARTMENT OF ENERGY FINDING OF NO SIGNIFICANT IMPACT FINAL ENVIRONMENTAL ASSESSMENT - The United States Department of Energy (DOE) has prepared an environmental assessment (EA) for the Atmospheric Radiation Measurement Cloud and Radiation Testbed (ARM/CART), North Slope of Alaska and Adjacent Arctic Ocean. The purpose of the ARM/CART program is to collect and analyze atmospheric data for the development and validation of global climate change models. The program involves construction of several small facilities and operation of sensing equipment. The EA analyzes the impacts on land use, tundra, air quality, cultura.l resources, socioeconomics, and wildlife. Separate studies (summarized in the EA) were also conducted to ensure that the operation of the facilities would not

385

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Initial Measurements from the Compact Millimeter-Wave Radar Initial Measurements from the Compact Millimeter-Wave Radar Roman-Nieves, J.(a), Sekelsky, S.M.(a), Tooman, T.T.(b), and Bolton, W.B.(b), University of Massachusetts at Amherst (a), Sandia National Laboratories (b) Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting The University of Massachusetts at Amherst has developed a solid state compact 95 GHz millimeter-wave radar (CMR) for the ARM Unmanned Aerospace Vehicle (UAV) program. CMR has recently flown in ARM-UAV sponsored engineering flights and a cirrus science mission flying aboard the NASA Proteus aircraft. This poster presents the final CMR hardware configuration and results from ground-based and airborne engineering measurements. In addition we show airborne measurements form from the ARM-UAV 2002 Cirrus

386

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Analysis of the Aerosol-Cloud Interactions from Aircraft, Surface Analysis of the Aerosol-Cloud Interactions from Aircraft, Surface Measurements, and Cloud Parcel Model During the March 2000 IOP at the ARM SGP Site Delene, D.J.(a), Dong, X.(a), Chen, Y.(b), Poellot, M.(a), and Penner, J.E.(b), University of North Dakota (a), University of Michigan (b) Fourteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting One of the largest uncertainties in estimating anthropogenic forcing of climate change and in predicting future climates is the relationship between atmospheric aerosols and cloud properties. Aerosols affect cloud optical properties, cloud water content and cloud lifetime. A higher aerosol number concentration generally results in the nucleation of more smaller cloud droplets, which increases cloud albedo and results in a

387

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

December 31, 2008 [Facility News] December 31, 2008 [Facility News] Arctic Field Campaign Data and Instrument Performance Reviewed at Workshop Bookmark and Share Both wings of the Canadian National Research Council's Convair-580 aircraft were equipped with numerous cloud and aerosol probes during ISDAC. Both wings of the Canadian National Research Council's Convair-580 aircraft were equipped with numerous cloud and aerosol probes during ISDAC. In April 2008, the month-long Indirect and Semi-Direct Aerosol Campaign (ISDAC) obtained cloud and aerosol data from above, within, and below clouds in the vicinity of the ARM site in Barrow, Alaska. In mid-November, about 50 members of the ISDAC science team gathered in Lansdowne, Maryland, for a 1-day workshop to review and assess data quality and instrument

388

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

July 23, 2008 [Data Announcements, Facility News] July 23, 2008 [Data Announcements, Facility News] Second Version of Long-Term Climate Modeling Best Estimate Data Released Bookmark and Share Version 2 of the Climate Modeling Best Estimate includes the data source information for cloud fraction, as depicted in this data plot. Version 2 of the Climate Modeling Best Estimate includes the data source information for cloud fraction, as depicted in this data plot. With major improvements in the cloud fraction, cloud liquid water path (LWP), precipitable water vapor (PWV), and surface radiative fluxes, a new version of the "Climate Modeling Best Estimate" (CMBE) is now available from the ARM Climate Research Facility Archive. This data set, specifically tailored for use in evaluating global climate models, includes long-term

389

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

May 15, 2004 [Facility News] May 15, 2004 [Facility News] Mid-latitude Cirrus Cloud Experiment Underway Bookmark and Share NASA's WB-57F research aircraft can carry an instrument payload up to 6,000 lbs. NASA's WB-57F research aircraft can carry an instrument payload up to 6,000 lbs. In late April, scientific collaborators at the National Aeronautics and Space Administration (NASA) carried out two high-altitude flights over the ARM Climate Research Facility Southern Great Plains (SGP) central facility. The purpose of these flights was to use a new suite of cloud property probes on the WB-57F aircraft to more accurately characterize the properties of mid-latitude cirrus clouds-which are composed solely of ice crystals-than has previously been possible. Eight flights over the SGP central facility were originally planned, but the expected cirrus clouds

390

ARM - Lesson Plans: Making Clouds  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

the following: 1 liter (or larger) clear glass jar with lid (large mouth jars work best) Ice cubes or crushed ice Hot water Caution: Even very warm water will do. Do not use water...

391

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Diurnal Cycle of Cloud Microphysical Properties from GOES Over the ARM Diurnal Cycle of Cloud Microphysical Properties from GOES Over the ARM Southern Great Plains Minnis, P., and Young, D.F., National Aeronautics and Space Administration-Langley Research Center; Smith, W.L., Jr., and Heck, P.W., Analytical Services and Materials, Inc. Ninth Atmospheric Radiation Measurement (ARM) Science Team Meeting Cloud coverage, height and optical depth have been derived from the Geostationary Operational Environmental Satellite (GOES) data taken over the Atmospheric Radiation Measurement (ARM) Program's Southern Great Plains (SGP) domain since 1994. While these parameters provide a valuable basis for understanding the interaction of clouds with the radiation budget, they do not provide a complete characterization of the cloud field. Phase

392

The Ability of MM5 to Simulate Ice Clouds: Systematic Comparison between Simulated and Measured Fluxes and Lidar/Radar Profiles at the  

E-Print Network [OSTI]

to produce too much solid water (ice and snow) and not enough liquid water. 1. Introduction Ice clouds playThe Ability of MM5 to Simulate Ice Clouds: Systematic Comparison between Simulated and Measured­NCAR Mesoscale Model (MM5) to simulate midlatitude ice clouds is evaluated. Model outputs are compared to long

Protat, Alain

393

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

July 10, 2012 [Facility News] July 10, 2012 [Facility News] Collaborations in Atmospheric Science and Observations Discussed in Germany Bookmark and Share Susanne Crewell (center) is flanked by Jimmy Voyles (left) and Shaocheng Xie (right) during a tour of the Research Center Juelich and the university's Jülich ObservatorY for Cloud Evolution (JOYCE) site. Crewell explained that JOYCE, like ARM facilities, was designed for long-term continuous measurements of cloud, radiation, boundary humidity, and precipitation, using active and passive remote sensing instruments. Susanne Crewell (center) is flanked by Jimmy Voyles (left) and Shaocheng Xie (right) during a tour of the Research Center Juelich and the

394

ARM: Gridded (0.25 x 0.25 lat/lon) fractional cloud cover, clear-sky and all-sky shortwave flux over the SGP site.  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Gridded (0.25 x 0.25 lat/lon) fractional cloud cover, clear-sky and all-sky shortwave flux over the SGP site.

Gaustad, Krista; Gaustad, Krista; McFarlane, Sally; McFarlane, Sally

395

ARM - Key Science Questions  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govScienceKey Science Questions govScienceKey Science Questions Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 Key Science Questions The role of clouds and water vapor in climate change is not well understood; yet water vapor is the largest greenhouse gas and directly affects cloud cover and the propagation of radiant energy. In fact, there may be positive feedback between water vapor and other greenhouse gases. Carbon dioxide and other gases from human activities slightly warm the

396

ARM-95-002  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5-002 5-002 Platforms for Ocean Measurements An ARM Notebook of Buoys, Vessels, and Rigs December 1993 COMMENT DRAFT Prepared by Battelle Marine Sciences Laboratory CONTENTS 1 .0 2 .0 3 .0 Introduction 1 1 .1 1 .2 1 .3 Notebook Origin 1 Organization 1 How to Use this Notebook 1 ARM Ocean Site 3 2 .1 2 .2 Planned Sites 3 Measurement Strategies 3 Measurement and Instrument Requirements 5 3 .1 3 .2 3 .3 3 .4 3 .5 3 .6 3 .7 3 .8 3 .9 3 .10 3 .11 Introduction 5 Surface Meteorological Observations 5 Surface Fluxes 5 Vertical Profiling 5 Solar Irradiance 6 Integrated Liquid and Water Vapor 7 Broadband Solar and Infrared Radiation 8 Radiance Spectrum 10 Vertical Winds and Virtual Temperature and Profiles 11 Whole Sky Imaging 12 Cloud Base Height and Cloud Characteristics 13 4 .0 Platforms 15 4 .1 Vessels

397

ARM - Datastreams - ncepgfsnauflx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsncepgfsnauflx Datastreamsncepgfsnauflx Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSNAUFLX NCEP GFS: surface variables at Nauru Active Dates 2001.01.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo Precipitation conv_precip Soil heat flux ground_hflx Cloud fraction high_a Planetary boundary layer height hpbl Latent heat flux lat_heat

398

ARM - Datastreams - ncepgfsatkflx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsncepgfsatkflx Datastreamsncepgfsatkflx Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NCEPGFSATKFLX NCEP GFS: flux variables at Atqasuk Active Dates 2004.12.01 - 2010.07.26 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument National Centers for Environment Prediction Global Forecast System (NCEPGFS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Surface albedo albedo Precipitation conv_precip Soil heat flux ground_hflx Cloud fraction high_a Planetary boundary layer height hpbl Latent heat flux lat_heat

399

ARM - VAP Process - tdmadap  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Productstdmadap Productstdmadap Documentation & Plots tdmadap : XDC documentation Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Aerosol Properties derived from TDMA Measurements (TDMADAP) Instrument Categories Aerosols Output Products tdmaccncoll : Tandem Differential Mobility Analyzer: Cloud Condensation Nuclei -- D. Collins Primary Measurements The following measurements are those considered scientifically relevant. Cloud condensation nuclei Locations Southern Great Plains SGP X1 Browse Data External Data (satellites and others) Contact(s) Alison Tilp (631) 344-4465 tilp@bnl.gov Alison Tilp Developer (631) 344-4465 tilp@bnl.gov Connor Flynn Translator

400

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

, 2009 [Facility News] , 2009 [Facility News] Mobile Facility Begins Marine Cloud Study in the Azores Bookmark and Share Located next to the airport on Graciosa Island, the ARM Mobile Facility's comprehensive and sophisticated instrument suite will obtain atmospheric measurements from the marine boundary layer. Located next to the airport on Graciosa Island, the ARM Mobile Facility's comprehensive and sophisticated instrument suite will obtain atmospheric measurements from the marine boundary layer. Extended deployment will obtain seasonal statistics to improve climate models Today marks the beginning of a 20-month field campaign on Graciosa Island in the Azores to study the seasonal life cycle of marine clouds and how they modulate the global climate system. Sponsored by the U.S. Department

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

ARM - Field Campaigns  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

alpacas clouds-anvil german-scene instrumentfield pye-night racoro-inst rhubc-layout snowy-site twpice-ship walter-annemarie alpacas clouds-anvil german-scene instrumentfield pye-night racoro-inst rhubc-layout snowy-site twpice-ship walter-annemarie How Do I Propose a Campaign? First, review the guidelines for submitting proposals. Next, submit a preproposal; a short summary of the proposed campaign. Wait for a response from the Infrastructure Management Board (IMB) and/or ARM Science Board. A full proposal or science plan, may be requested. Decision is made-now what is expected? ARM Climate Research Facility users regularly conduct field campaigns to augment routine data acquisitions and to test and validate new instruments. Announcements 13 Dec 2013 Now accepting proposals for use of an AMF, AAF, or augment observations at one of our fixed sites. Smaller campaigns in FY2014 and FY2015 can also be

402

ARM - VAP Process - aosccnavg  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Productsaosccnavg Productsaosccnavg Documentation & Plots Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Aerosol Observing System (AOS): cloud condensation nuclei data, averaged (AOSCCNAVG) Instrument Categories Aerosols This value-added product was developed to consolidate the relevant cloud condensation nuclei (CCN) parameters into a single file and averaged the data over the 5-minute integration time of each percent supersaturation (%ss) value. The surface sites measure the CCN concentration at several supersaturations using a single-column CCN counter (Roberts and Nenes, 2005). The percent supersaturation of the instrument is stepped through

403

ARM - Datastreams - mwrp  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsmwrp Datastreamsmwrp Documentation Data Quality Plots Citation DOI: 10.5439/1025254 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MWRP Microwave Radiometer data (MWR Profiles - QME), water vapor, temp, cloud liquid water, precip water retrievals Active Dates 2004.02.19 - 2014.01.01 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Microwave Radiometer Profiler (MWRP) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Azimuth angle degrees azimuth Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

404

ARM - VAP Process - mplnor  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Productsmplnor Productsmplnor Documentation & Plots Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Normalized Backscatter Profiles from the Micropulse Lidar (MPLNOR) Instrument Categories Cloud Properties This VAP has two primary purposes: to apply the appropriate corrections to create normalized backscatter profiles from the MPL, and to detect all significant cloud boundaries from this normalized dataset. The corrections included in the normalization process include background subtraction, a correction for the afterpulsing (ringing) of the detector, an correction for the disparity between the laser and detector's field-of-view (overlap),

405

ARM - Measurement - Hydrometeor phase  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

phase phase ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Hydrometeor phase Hydrometeor phase such as liquid ice or mixed phase Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. Value-Added Products VISST : Minnis Cloud Products Using Visst Algorithm (Process) VISSTPX04G08V2MINNIS : VISST-derived pixel-level products from satellite GOES8, version 2 VISSTPX04G08V3MINNIS : VISST-derived pixel-level products from satellite GOES8, version 3

406

ARM - Campaign Instrument - pdlidar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstrumentspdlidar govInstrumentspdlidar Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Polarization Diversity Lidar (PDLIDAR) Instrument Categories Aerosols, Cloud Properties, Atmospheric Profiling Campaigns CRYSTAL-FACE [ Download Data ] Off Site Campaign : various, including non-ARM sites, 2002.06.26 - 2002.08.01 M-PACE - Polarization Diversity Lidar (PDL) [ Download Data ] North Slope Alaska, 2004.09.01 - 2004.10.21 Remote Cloud Sensing (RCS) Field Evaluation [ Download Data ] Southern Great Plains, 1994.04.01 - 1994.05.31 Primary Measurements Taken The following measurements are those considered scientifically relevant. Refer to the datastream (netcdf) file headers for the list of all available measurements, including those recorded for diagnostic or quality assurance

407

ARM - Data Announcements Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Unique Manus Island Precipitation Data Available Unique Manus Island Precipitation Data Available Bookmark and Share Statistical coverage product from the Manus C-SAPR showing times of data availability. Click to enlarge. Statistical coverage product from the Manus C-SAPR showing times of data availability. Click to enlarge. Evaluation data are available for the value-added product (VAP) Mapped Moments to a Cartesian Grid (MMCG) for periods between October and December 2011 from the Tropical Western Pacific Manus site. The C-band scanning ARM precipitation radar (C-SAPR) produces measurements of raw radar moments in antenna coordinates of range from and the azimuth and elevation of the antenna. This VAP maps raw moment data from the C-SAPR on to a model-like, regular Cartesian grid. The Manus C-SAPR signal processor had issues that corrupted polarimetric

408

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

30, 2009 [Facility News] 30, 2009 [Facility News] Smart Filter Clears the Way for Speedy Data Transfer Bookmark and Share These data plots illustrate the results of the smart filter in reducing the volume of MMCR data. The left column shows the full reflectivity data for individual radar data collection modes: cirrus, precipitation, general, and boundary layer. The right column shows the data retained after applying the clear-sky filter. These data plots illustrate the results of the smart filter in reducing the volume of MMCR data. The left column shows the full reflectivity data for individual radar data collection modes: cirrus, precipitation, general, and boundary layer. The right column shows the data retained after applying the clear-sky filter. As reported in mid-February, data transfer from the ARM Tropical Western

409

ARM TR-008  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

0 0 Surface Cloud Grid (SfcCldGrid) Value- Added Product: Algorithm Operational Details and Explanations June 2005 J. E. Christy and C. N. Long Pacific Northwest National Laboratory Richland, Washington Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research J.E. Christy and C.N. Long 2005, ARM-TR-010 Contents 1. Introduction............................................................................................................................ 1 2. Input Data............................................................................................................................... 2 3. Configuration Files ................................................................................................................

410

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Mobile Facility Beta Testing Complete; System Headed to California Seashore Mobile Facility Beta Testing Complete; System Headed to California Seashore Bookmark and Share A key addition to the ARM Climate Research Facility scientific infrastructure is ready to roll...literally. In February, the ARM Mobile Facility (AMF) is being packed up and shipped from Richland, Washington, to the Point Reyes National Seashore north of San Francisco, California. There, it will be reassembled in preparation for its first deployment as part of a 6-month experiment to study the microphysical characteristics of marine stratus clouds, and in particular, marine stratus drizzle processes. Throughout the deployment, the AMF will accommodate aerosol observing equipment for National Oceanic and Atmospheric Administration (NOAA) researchers co-sponsored by ARM and the DOE Aerosol Science Program.

411

ARM - Measurement - Backscattered radiation  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govMeasurementsBackscattered radiation govMeasurementsBackscattered radiation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Backscattered radiation The scattering of radiant energy into the hemisphere of space bounded by a plane normal to the direction of the incident radiation and lying on the same side as the incident ray. Categories Aerosols, Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments AOS : Aerosol Observing System IAP : In-situ Aerosol Profiles (Cessna Aerosol Flights)

412

ARM - Journal Articles 2002  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

2 2 Publications Journal Articles Conference Documents Program Documents Technical Reports Publications Database Public Information Materials Image Library Videos Publication Resources Submit a Publication Publishing Procedures ARM Style Guide (PDF, 448KB) Acronyms Glossary Logos Contacts RSS for Publications Journal Search [ Advanced Search ] Publication Years 2013 149 2012 163 2011 185 2010 197 2009 213 2008 174 2007 150 2006 213 2005 139 2004 141 2003 187 2002 205 2001 207 2000 232 1999 136 1998 172 1997 103 1996 84 1995 124 1994 65 1993 51 1992 47 1991 25 1990 12 1986 1 Journal Articles : 2002 Author Article Title Journal Funded By Smith A Simple Model of Cirrus Horizontal Inhomogeneity and Cloud Fraction (Citation) Quart. J. Roy. Meteor. Soc. ARM Jensen Radiative impacts of anvil outflow during the Maritime Continent Thunderstorm Experiment (Citation) J. of Appl. Meteor. ARM

413

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

April 30, 2008 [Facility News] April 30, 2008 [Facility News] Team Scouts Graciosa Island for 2009 Mobile Facility Deployment Site Bookmark and Share A location near the airport on the northern end of Graciosa Island was identified as an excellent location for operating the ARM Mobile Facility. Image source: Luis Miguens A location near the airport on the northern end of Graciosa Island was identified as an excellent location for operating the ARM Mobile Facility. Image source: Luis Miguens Indications from a scouting trip by the ARM Mobile Facility (AMF) science and operations management team are that an excellent site for the 2009 deployment may have been found. From April 8 through April 16, the team traveled to Graciosa Island in the Azores to scout sites for the Clouds, Aerosol, and Precipitation in the Marine Boundary Layer (CAP-MBL) field

414

ARM - Journal Articles 2006  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

6 6 Publications Journal Articles Conference Documents Program Documents Technical Reports Publications Database Public Information Materials Image Library Videos Publication Resources Submit a Publication Publishing Procedures ARM Style Guide (PDF, 448KB) Acronyms Glossary Logos Contacts RSS for Publications Journal Search [ Advanced Search ] Publication Years 2013 149 2012 163 2011 185 2010 197 2009 213 2008 174 2007 150 2006 213 2005 139 2004 141 2003 187 2002 205 2001 207 2000 232 1999 136 1998 172 1997 103 1996 84 1995 124 1994 65 1993 51 1992 47 1991 25 1990 12 1986 1 Journal Articles : 2006 Author Article Title Journal Funded By Kogan Large-eddy simulation of air parcels in stratocumulus clouds: Time scales and spatial variability (Citation) Journal of the Atmospheric Sciences ARM Duchon Broadband albedo observations in the Southern Great Plains (Citation) Journal of Applied Meteorology and Climatology ARM

415

ARM - Measurement - Surface albedo  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

albedo albedo ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Surface albedo The fraction of incoming solar radiation at a surface (i.e. land, cloud top) that is effectively reflected by that surface. Categories Surface Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments MFR : Multifilter Radiometer External Instruments ETA : Eta Model Runs ECMWFDIAG : European Centre for Medium Range Weather Forecasts Diagnostic Analyses ECMWF : European Centre for Medium Range Weather Forecasts Model

416

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

On the Uncertainty of Inferring Absolute Cloud Fraction from Time Series of On the Uncertainty of Inferring Absolute Cloud Fraction from Time Series of Narrow Field of View Observations Ma, Y.-T.(a) and Ellingson, R. G.(b), University of Maryland at College Park (a), Florida State University (b) Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting One way to parameterize longwave 3-D cloud effects is to relate the various cloud properties to a statistical cloud field parameter called the Probability of Clear Line of Sight (PCLS) and then to a simple integral parameter - the effective cloud fraction. In our ongoing study, we are trying to test various PCLS models with ARM cloud observations. Many of the cloud properties must be inferred from time series of zenith observations, whereas spatially averaged quantities are the ones desired. What are the

417

ARM - Research Highlights  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

CenterResearch Highlights CenterResearch Highlights Media Contact Lynne Roeder lynne-dot-roeder-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes89 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 BAECC 1 BBOP 4 MAGIC 12 MC3E 17 SGP 2 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance Research Highlights Research Highlights Archive » Forecast Calls for Better Models: Examining the Core Components of Arctic Clouds to Clear Their Influence on Climate Jan 07, 2014 Predicting how atmospheric aerosols influence cloud formation and the resulting feedback to climate is a challenge that limits the accuracy of atmospheric models. This is especially true in the Arctic, where mixed-phase (both ice- and liquid-based) clouds are frequently observed, but the processes that determine their composition are poorly understood. To obtain a closer look [...]

418

ARM - News Center  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Center Center Media Contact Lynne Roeder lynne-dot-roeder-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes89 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 BAECC 1 BBOP 4 MAGIC 12 MC3E 17 SGP 2 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog feed Events feed Employment Research Highlights Data Announcements Education News Archive What's this? Social Media Guidance News Center Forecast Calls for Better Models: Examining the Core Components of Arctic Clouds to Clear Their Influence on Climate Jan 07, 2014 [ Research Highlights ] Predicting how atmospheric aerosols influence cloud formation and the resulting feedback to climate is a challenge that limits the accuracy of atmospheric models. This is especially true in the Arctic, where mixed-phase (both ice- and liquid-based) clouds are frequently observed, but the processes that determine their composition are poorly understood. To obtain a closer look [...]

419

ARM XDC Datastreams  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

StreamsArkansas-Red Basin River StreamsArkansas-Red Basin River Forecast Center Documentation ABRFC Instrument External Datastream Descriptions ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Arkansas-Red Basin River Forecast Center (ABRFC) Information updated on November 5, 2008, 8:19 pm GMT General Data Description The ABRFC area of responsibility includes the drainage area of the Arkansas River above Pine Bluff Arkansas and the drainage area of the Red River above Fulton Arkansas. This comprises over 208,000 square miles and includes Oklahoma and portions of six neighboring states. Every hour a gridded (4 km x 4 km) precipitation field is created. This field is a combination of both WSR-88D Nexrad radar precipitation estimates and

420

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

October 15, 2007 [Facility News] October 15, 2007 [Facility News] ARM Joins National Science Foundation Remote Sensing Collaboration Bookmark and Share In September, the ARM Climate Research Facility became an official member of the National Science Foundation's Center for Collaborative Adaptive Sensing of the Atmosphere, or CASA. Initial discussions for partnering began nearly a year ago. After a series of informative visits and presentations, the decision was made to move forward with membership process. The transfer of interagency funds was completed on September 18, 2007, solidifying the partnership. In the meantime, CASA dedicated a significant effort to support the CLASIC field campaign in June 2007 by providing a network of four scanning X-band radars. CASA is a multi-sector partnership among academia, industry, and government

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

ARM - Datastreams - 915issrwpwindcon  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

issrwpwindcon issrwpwindcon Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 915ISSRWPWINDCON Derived: wind data from the 915RWP (consensus) and sonde, at altitude Active Dates 1997.01.01 - 2001.01.24 Measurement Categories Atmospheric State Originating Instrument Radar Wind Profiler (RWP) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Horizontal wind dir Horizontal wind spd Horizontal wind u_wind Horizontal wind v_wind Horizontal wind vel0 Horizontal wind vel1 Horizontal wind vel2 Horizontal wind vel3 Horizontal wind vel4 Locations Tropical Western Pacific TWP X1 Browse Data External Data (satellites and others)

422

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

October 11, 2011 [Facility News] October 11, 2011 [Facility News] Final Recovery Act Milestone Complete! Bookmark and Share To support all the new instruments from the Recovery Act, infrastructure upgrades ranging from power and platforms to communications and data systems required a focused team effort. To support all the new instruments from the Recovery Act, infrastructure upgrades ranging from power and platforms to communications and data systems required a focused team effort. For the past year and a half, ARM scientists, engineers, operations, and data systems staff have been working tirelessly to support the installation and operation of nearly 150 new and upgraded instruments throughout the user facility. In September, ARM received its final three instruments - a radar wind profiler; a micropulse lidar for the Darwin, Australia site; and

423

ARM - VAP Process - abrfc  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Productsabrfc Productsabrfc Documentation & Plots abrfc : XDC documentation Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Arkansas-Red Basin River Forecast Center (ABRFC) Instrument Categories Surface Meteorology General Overview Every hour a gridded (4 km x 4 km) precipitation field is created. This field is a combination of both WSR-88D Nexrad radar precipitation estimates and rain gauge reports. The ABRFC performs extensive quality control on these data. For more details, see the External Data Center web page. Output Products abrfcprecip : Arkansas-Red Basin River Forecast Center: estimated precipitation Primary Measurements The following measurements are those considered scientifically relevant.

424

ARM - Datastreams - allruc20isob  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

isob isob Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : ALLRUC20ISOB Rapid Update Cycle (RUC) model: isobaric main analysis data, 20-km resolution Active Dates 2002.05.15 - 2002.10.16 Measurement Categories Atmospheric State, Cloud Properties, Surface Properties Originating Instrument Rapid Update Cycle Model Data (RUC) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Convection cape Precipitation catfreezerain Precipitation caticepellets Precipitation catrain Precipitation catsnow Convection cinhib Cloud base height heightcldbase Cloud top height heightcldtop Cloud top height

425

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

April 30, 2008 [Facility News] April 30, 2008 [Facility News] Arctic Aerosol Study Flies By Bookmark and Share Ending its mission with a final flight on April 30, 2008, the Indirect and Semi-Direct Aerosol Campaign (ISDAC) flew a total of 103 research hours, completing 27 science flights primarily in the region around the ARM North Slope of Alaska site in Barrow. These flights included several golden cases where both cloud and aerosol measurements were obtained above, within, and below mixed-phase cloud layers. In addition, the campaign successfully demonstrated first-time airborne deployments of key instruments for measuring aerosol properties. All of the campaign's primary objectives were met, plus some secondary objectives, to help answer the team's science questions related to Arctic cloud and aerosol interactions.

426

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Mission Under Control: Scientists Simulate Upcoming Field Campaign Mission Under Control: Scientists Simulate Upcoming Field Campaign Bookmark and Share The Egrett will fly in stacked formations with the Proteus during the upcoming Tropical Warm Pool International Cloud Experiment. This flight pattern will allow simultaneous sampling of the upper and lower parts of the cirrus anvils as well as remote measurements. The Egrett will fly in stacked formations with the Proteus during the upcoming Tropical Warm Pool International Cloud Experiment. This flight pattern will allow simultaneous sampling of the upper and lower parts of the cirrus anvils as well as remote measurements. Between September 7-9, ARM researchers and international collaborators involved in flight operations for the Tropical Warm Pool International Cloud Experiment, or TWP-ICE, met at Sandia National Laboratories to

427

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

February 28, 2006 [Facility News] February 28, 2006 [Facility News] Network of Infrared Thermometers Nearly Complete at SGP Bookmark and Share Red dots indicate extended facilities at SGP with the new IRTs installed; green dots indicate future installations. Red dots indicate extended facilities at SGP with the new IRTs installed; green dots indicate future installations. As reported in April 2005, a network of infrared thermometers (IRT) is being installed throughout the ARM Southern Great Plains (SGP) site for the purpose of measuring cloud base temperature and inferring cloud base height across the domain. These measurements will enhance existing SGP surface and satellite cloud measurements to help scientists improve their calculations of heating rate profiles on the scale of global climate models. The first

428

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud and Radiative Properties Derived Over the ARM NSA Domain From AVHRR Cloud and Radiative Properties Derived Over the ARM NSA Domain From AVHRR Data Heck, P.W., Nguyen, L., Smith, W. L., Jr., Ayers, J.K., Doelling, D.R., and Spangenberg, D.A., Analytical Services and Materials, Inc.; Minnis, P., and Young, D.F., National Aeronautics and Space Administration-Langley Research Center Ninth Atmospheric Radiation Measurement (ARM) Science Team Meeting The Atmospheric Radiation Measurement (ARM) Program's polar sites on the North Slope of Alaska (NSA) measure time series of various atmospheric, cloud and radiative properties over a few selected areas. Satellite data are needed to provide measurements of similar properties between the sites and to estimate the radiation budget at the top of the atmosphere. Over the other ARM sites in the central United States and the Pacific, geostationary

429

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Comparisons of a Cloud Resolving Model and ARM Data Comparisons of a Cloud Resolving Model and ARM Data Posselt, D., Mecikalski, J., Tanamachi, R., Feltz, W.F., Turner, D.D., Tobin, D., Knuteson, R.O., and Revercomb, H.E., University of Wisconsin - Madison Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting CIMSS/SSEC at the University of Wisconsin is currently running version 3.5 of the PSU/NCAR MM5 once per day at a resolution of 4 km over the ARM CART site domain. Simulations are performed using a sophisticated cloud-resolving microphysics scheme (Reisner 1998) and a radiative parameterization based on RRTM (Mlawer 1997). With selection of appropriate case studies, comparisons of the model output to ARM data can be used to evaluate the model's ability to reproduce boundary-layer thermal and

430

ARM - Campaign Instrument - spec-learjet  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Aerosols, Airborne Observations, Cloud Properties Campaigns In Situ Support of the ARM UAV Fall 2002 Mission Download Data Southern Great Plains, 2002.11.03 - 2002.11.23...

431

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

participate in the ARM Mixed-Phase Arctic Cloud Experiment in the Fall of 2004. From the UAV platform, the S-HIS measures the up and downwelling infrared radiance at high spectral...

432

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Y.A. Pkhalagov A Two-Year Cloud Climatology for the Southern Great Plains Site R.T. Marchand, T.P. Ackerman, and E.E. Clothiaux AERI + GOES Retrievals at the SGP ARM Site: SCM...

433

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Evaluation of MODIS Cloud Mask Products (MOD35) with MMCR Data Zhang, Q. and Mace, G.G., University of Utah Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting...

434

DOE/SC-ARM/TR-139  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

9 Cloud Optical Properties from the Multifilter Shadowband Radiometer (MFRSRCLDOD): An ARM Value-Added Product DD Turner Y Shi SA McFarlane C Lo L Riihimaki Q Min February 2014...

435

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Cover and Phase During Arctic Winter from DABul Lidar Guest, P. Preliminary Surface Heat Budget Results from SHEBA Guo, Y.-R. Assimilation of ARM WVIOP-96 Data with the...

436

ARM2006_poster_PTREYESa.ppt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Optical Depth Retrievals at the Pt. Reyes (CA) Deployment of the ARM Mobile Facility Alexander Marshak 1 , J.-Y. Christine Chiu 2 , Yuri Knyazikhin 3 , James Barnard 4 , John...

437

ARM - Publications: Science Team Meeting Documents: Comparison of ECMWF  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Comparison of ECMWF Model and ARSCL Cloudiness at the ARM SGP site Comparison of ECMWF Model and ARSCL Cloudiness at the ARM SGP site Kollias, Pavlos RSMAS/University of Miami Albrecht, Bruce University of Miami The Department of Energy (DOE) Atmospheric Radiation Measurements (ARM) Program operates a comprehensive suite of active remote sensors at Southern Great Plains (SGP) in Oklahoma since 1996 to detect all hydrometeors in the atmospheric column above. Due to its location, the ARM SGP site cloud and precipitation climatology it is believed to be representative of mid-latitudes. Long-term (6.5 years) observations from this ARM site are used to provide a cloud and precipitation climatology. A cloud classification scheme based on cloud base height, fractional coverage, cloud thickness, cloud reflectivity and precipitation detection at the

438

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

A Satellite Cloud, Radiation and Precipitation Data Set for Cloud Model A Satellite Cloud, Radiation and Precipitation Data Set for Cloud Model Evaluation Xu, K.-M.(a), Wielicki, B.A.(a), Wong, T.(a), and Randall, D.A.(b), NASA Langley Research Center (a), Colorado State University (b) Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting To systematically evaluate cloud models including large-eddy simulation (LES), cloud-resolving models (CRMs), cloud parameterizations in general circulation models (GCMs), one needs a large set of cloud, radiation and precipitation data that are matched with simultaneous atmospheric state data. We have been using a technique to produce such a data set at the NASA Langley Research Center. Specifically, this technique classifies EOS (Earth Observing System) satellite data into distinct cloud systems or "cloud

439

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Seasonal Variability in Cloud Cover, Cloud Base Height, and Cloud Liquid Seasonal Variability in Cloud Cover, Cloud Base Height, and Cloud Liquid Water Content at the North Slope of Alaska and the Adjacent Arctic Ocean Storvold, R. (a), Stamnes, K. (b), Marty, C. (a), and Zak, B.D. (c), University of Alaska Fairbanks (a), Stevens Institute of Technology (b), Sandia National Laboratories (c) Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting There is great seasonal variability in cloud cover, cloud base height, and cloud liquid water in the Arctic. This seasonal variability in cloud properties has been quantified based on a full year of data from the Atmospheric Radiation Measurement Program Sites in Barrow and Atqasuk during 1999-2000. We compare these results with similar results obtained in the Arctic Ocean during the one-year SHEBA experiment. We also compare the

440

ARM - Posters  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Annual Reports Program Fact Sheets Campaign Backgrounders Education and Outreach Posters Brochures Research Highlights Summaries Posters The ARM Image Library contains...

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

ARM - Brochures  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Annual Reports Program Fact Sheets Campaign Backgrounders Education and Outreach Posters Brochures Research Highlights Summaries Brochures Please contact armpubs@arm.gov for...

442

ARM - Publications  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

HomeroomPublications Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM...

443

ARM - Kiosks  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

HomeroomKiosks Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global...

444

ARM - Contacts  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Church, Pacific Northwest National Laboratory Communications Specialist - Kyle Westcott, Pacific Northwest National Laboratory What We Do The ARM communications team manages...

445

Cloud Services Cloud Services  

E-Print Network [OSTI]

Cloud Services Cloud Services In 2012 UCD IT Services launched an exciting new set of cloud solutions called CloudEdu, which includes cloud servers, cloud storage, cloud hosting and cloud network. The CloudEdu package includes a consultancy service in design, deployment, management and utilisation

446

The Accuracy of Radar Estimates of Ice Terminal Fall Speed from Vertically Pointing Doppler Radar Measurements  

Science Journals Connector (OSTI)

Doppler radar measurements at different frequencies (50 and 2835 MHz) are used to characterize the terminal fall speed of hydrometeors and the vertical air motion in tropical ice clouds and to evaluate statistical methods for retrieving these two ...

Alain Protat; Christopher R. Williams

2011-10-01T23:59:59.000Z

447

Using Surface Remote Sensors to Derive Mixed-Phase Cloud Radiative Forcing:  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Using Surface Remote Sensors to Derive Mixed-Phase Cloud Radiative Forcing: Using Surface Remote Sensors to Derive Mixed-Phase Cloud Radiative Forcing: An Example from M-PACE Title Using Surface Remote Sensors to Derive Mixed-Phase Cloud Radiative Forcing: An Example from M-PACE Publication Type Journal Article Year of Publication 2011 Authors de Boer, Gijs, William D. Collins, Surabi Menon, and Charles N. Long Journal Atmospheric Chemistry and Physics Volume 11 Start Page 11937 Pagination 11937-11949 Abstract Measurements from ground-based cloud radar, high spectral resolution lidar and microwave radiometer are used in conjunction with a column version of the Rapid Radiative Transfer Model (RRTMG) and radiosonde measurements to derive the surface radiative properties under mixed-phase cloud conditions. These clouds were observed during the United States Department of Energy (US DOE) Atmospheric Radiation Measurement (ARM) Mixed-Phase Arctic Clouds Experiment (M-PACE) between September and November of 2004. In total, sixteen half hour time periods are reviewed due to their coincidence with radiosonde launches. Cloud liquid (ice) water paths are found to range between 11.0-366.4 (0.5-114.1) gm-2, and cloud physical thicknesses fall between 286-2075 m. Combined with temperature and hydrometeor size estimates, this information is used to calculate surface radiative flux densities using RRTMG, which are demonstrated to generally agree with measured flux densities from surface-based radiometric instrumentation. Errors in longwave flux density estimates are found to be largest for thin clouds, while shortwave flux density errors are generally largest for thicker clouds. A sensitivity study is performed to understand the impact of retrieval assumptions and uncertainties on derived surface radiation estimates. Cloud radiative forcing is calculated for all profiles, illustrating longwave dominance during this time of year, with net cloud forcing generally between 50 and 90 Wm-2.

448

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Validation of CERES/MODIS Cloud Property Retrievals Using Ground-Based Validation of CERES/MODIS Cloud Property Retrievals Using Ground-Based Measurements Obtained at the DOE ARM SGP Site Dong, X.(a), Minnis, P.(b), Sun-Mack, S.(b), and Mace, G.G.(a), University of Utah (a), NASA Langley Research Center (b) Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting Cloud macrophysical and microphysical properties derived from the NASA TERRA (EOS-AM) Moderate Resolution Spectroradiometer (MODIS) as part of the Clouds and the Earth's Radiant Energy System (CERES) project during November 2000-June 2001 are compared to simultaneous ground-based observations. The ground-based data taken by the Atmospheric Radiation Measurement (ARM) Program are used as "ground truth" data set in the validation of the CERES cloud products and to improve the CERES daytime and

449

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Using ARM GOES-8 Cloud and TOA Flux Properties to Estimate Surface Using ARM GOES-8 Cloud and TOA Flux Properties to Estimate Surface Radiation Budget Parameters Stackhouse, P.W., Jr. (a), Gupta, S.K. (b), Cox, S.J. (b), Minnis, P. (a), Smith, W.L., Jr. (b), and Khaiyer, M.M. (b), NASA Langley Research Center (a) Analytical Services and Materials, Inc. (b) Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting The Global Energy and Water Cycle Experiment (GEWEX) Surface Radiation Budget Project (SRB) uses top-of-atmosphere (TOA) radiance measurements and cloud property retrievals to estimate surface fluxes on a global basis. Normally, GEWEX SRB algorithms rely on TOA radiances and cloud information derived from International Satellite Cloud Climatology Project (ISCCP) data. Here, we show first results of using SW and LW algorithms featured in

450

Yost_ARM_Mar07.ppt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

III. Improved Cloud Detection over the SGP III. Improved Cloud Detection over the SGP * GOES-8 data from June to November 1998 were reprocessed over a region within a 10-km radius of the ARM SGP Central Facility using the new stats algorithm to aid cloud detection during twilight * Table 1 shows how the new VISST cloud amounts compare to 30-minute averaged cloud amounts derived from micropulse lidar (MPL) data. Values in parentheses were obtained without using the stats algorithm * An example from June 5, 1998, is illustrated in Figure 2 below * Most of the warm low clouds over Kansas and northern Oklahoma were detected by the nighttime cloud mask at 1115 Z (not shown) but missed by the twilight cloud mask at 1145 Z (Fig. 2a) * The stats algorithm restores much of the cloud cover (Fig. 2b) and this is easily verified by looking at an

451

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cloud Radiative Forcing of the Arctic Surface: The Influence of Cloud Cloud Radiative Forcing of the Arctic Surface: The Influence of Cloud Properties, Surface Albedo, and Solar Zenith Angle Shupe, M.D. and Intrieri, J.M., NOAA - Environmental Technology Laboratory Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting An annual cycle of cloud and radiation measurements made as part of the Surface Heat Budget of the Arctic program are utilized to determine which properties of Arctic clouds control the surface radiation balance. Surface cloud radiative forcing (CF), defined as the difference between the all-sky net surface radiative flux and the clear sky net surface flux, was calculated from measurements of broadband fluxes and results from a clear sky model. Longwave cloud forcing (CFLW) is shown to be a function of cloud

452

E-Print Network 3.0 - arm mixed-phase arctic Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

for ice and ... Source: Collection: Environmental Sciences and Ecology 95 Detection of supercooled liquid in mixedphase clouds using radar Doppler spectra Summary:...

453

X:\\ARM_19~1\\P185-192.WPD  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

(NOAA) Environmental Technology Laboratory (ETL) radar and precision radiation thermometer (PRT)-5 infrared (IR) radiometer used to obtain remotely sensed cloud microphysical...

454

ARM - Selected Science Team Proposals - FY 1995  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5 5 Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 Selected Science Team Proposals - FY 1995 Dr. R. Nelson Byrne, SAIC: "Evolution of a New GCM-Capable Stochastic Cloud/Radiation Parameterization Using ARM Data - Phase II" Dr. Steven J. Ghan, Pacific Northwest National Laboratory: "Parameterization of Convective Cloud Coverage in GCMs" Dr. George Golitsyn, Russian Academy of Sciences, Institute of

455

Clouds, Aerosol, and Precipitation in the Marine Boundary Layer: Analysis of Results from the ARM Mobile Facility Deployment to the Azores (2009/2010)  

SciTech Connect (OSTI)

The project focuses upon dataset analysis and synthesis of datasets from the AMF deployment entitled Clouds, Aerosols, and Precipitation in the Marine Boundary Layer (CAP?MBL) at Graciosa Island in the Azores. Wood is serving a PI for this AMF deployment.

Wood, Robert [University of Washington, Dept of Atmos Sci

2013-05-31T23:59:59.000Z

456

ARM - Datastreams - noaaaosavg  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsnoaaaosavg Datastreamsnoaaaosavg Documentation Data Quality Plots Citation DOI: 10.5439/1025260 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : NOAAAOSAVG Aerosol Observing System (AOS): aerosol data, 60-min avg, mentor-QC applied Active Dates 1996.07.02 - 2013.09.30 Measurement Categories Aerosols, Cloud Properties Originating Instrument Aerosol Observing System (AOS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Aerosol absorption Aerosol light absorption coefficient, green channel, 1 um 1/Mm Ba_G_Dry_1um_PSAP1W_1 ( time ) Number of data points used in Ba_G_Dry_1um_PSAP1W_1 computation count Ba_G_Dry_1um_PSAP1W_1_N ( time )

457

ARM - Instrument - mwr  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstrumentsmwr govInstrumentsmwr Documentation MWR : Handbook MWR : Instrument Mentor Monthly Summary (IMMS) reports MWR : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Microwave Radiometer (MWR) Instrument Categories Radiometric, Cloud Properties, Atmospheric Profiling Picture of the Microwave Radiometer (MWR) Picture of the Microwave Radiometer (MWR) General Overview The Microwave Radiometer (MWR) provides time-series measurements of column-integrated amounts of water vapor and liquid water. The instrument itself is a sensitive microwave receiver that detects the microwave emissions of the vapor and liquid water molecules in the atmosphere at two

458

ARM - Datastreams - dlrhi  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsdlrhi Datastreamsdlrhi Documentation Data Quality Plots Citation DOI: 10.5439/1046188 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLRHI Doppler LIDAR Range-Height Indicator scan Active Dates 2011.07.21 - 2012.03.31 Measurement Categories Aerosols, Cloud Properties Originating Instrument Doppler Lidar (DL) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Backscattered radiation Attenuated backscatter 1/(m sr) attenuated_backscatter ( time, range ) Azimuth relative to true north degrees azimuth ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

459

ARM - Datastreams - pars2  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamspars2 Datastreamspars2 Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : PARS2 OTT Parsivel2 Laser Disdrometer Active Dates 2012.09.24 - 2013.09.26 Measurement Categories Atmospheric State, Cloud Properties Originating Instrument Laser Disdrometer (LDIS) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Class size width mm class_size_width ( particle_size ) Diameter of largest drop observed mm diameter_max ( time ) Diameter of smallest drop observed mm diameter_min ( time )

460

ARM - Datastreams - dlcal1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Datastreamsdlcal1 Datastreamsdlcal1 Documentation Data Quality Plots Citation DOI: 10.5439/1025183 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : DLCAL1 Doppler Lidar - calibration channel 1 Active Dates 2010.10.30 - 2010.12.21 Measurement Categories Aerosols, Cloud Properties Originating Instrument Doppler Lidar (DL) Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Backscattered radiation Attenuated backscatter 1/(m sr) attenuated_backscatter ( time, range ) Azimuth relative to true north degrees azimuth ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time

Note: This page contains sample records for the topic "arm cloud radar" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461