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Sample records for arm cloud radar

  1. ARM - Field Campaign - Cloud Radar IOP

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

    of aerosol properties during clear-sky conditions. The ETL Radar Meteorology and Oceanography Division will field their NOAAK scanning cloud radar near the new ARM millimeter...

  2. Scanning ARM Cloud Radar Handbook

    SciTech Connect (OSTI)

    Widener, K; Bharadwaj, N; Johnson, K

    2012-06-18

    The scanning ARM cloud radar (SACR) is a polarimetric Doppler radar consisting of three different radar designs based on operating frequency. These are designated as follows: (1) X-band SACR (X-SACR); (2) Ka-band SACR (Ka-SACR); and (3) W-band SACR (W-SACR). There are two SACRs on a single pedestal at each site where SACRs are deployed. The selection of the operating frequencies at each deployed site is predominantly determined by atmospheric attenuation at the site. Because RF attenuation increases with atmospheric water vapor content, ARM's Tropical Western Pacific (TWP) sites use the X-/Ka-band frequency pair. The Southern Great Plains (SGP) and North Slope of Alaska (NSA) sites field the Ka-/W-band frequency pair. One ARM Mobile Facility (AMF1) has a Ka/W-SACR and the other (AMF2) has a X/Ka-SACR.

  3. First observations of tracking clouds using scanning ARM cloud radars

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect Journal Article: First observations of tracking clouds using scanning ARM cloud radars Citation Details In-Document Search Title: First observations of tracking clouds using scanning ARM cloud radars Tracking clouds using scanning cloud radars can help to document the temporal evolution of cloud properties well before large drop formation (''first echo''). These measurements complement cloud and precipitation tracking using geostationary satellites and

  4. ARM: Ka-Band Scanning ARM Cloud Radar (KASACR) Corner Reflector...

    Office of Scientific and Technical Information (OSTI)

    Title: ARM: Ka-Band Scanning ARM Cloud Radar (KASACR) Corner Reflector Calibration Ka-Band Scanning ARM Cloud Radar (KASACR) Corner Reflector Calibration Authors: Dan Nelson ; ...

  5. ARM: Millimeter Wavelength Cloud Radar (MMCR): transmitted RF...

    Office of Scientific and Technical Information (OSTI)

    transmitted RF power Title: ARM: Millimeter Wavelength Cloud Radar (MMCR): transmitted RF power Millimeter Wavelength Cloud Radar (MMCR): transmitted RF power Authors: Karen ...

  6. First observations of tracking clouds using scanning ARM cloud radars

    SciTech Connect (OSTI)

    Borque, Paloma; Giangrande, Scott; Kollias, Pavlos

    2014-12-01

    Tracking clouds using scanning cloud radars can help to document the temporal evolution of cloud properties well before large drop formation (first echo). These measurements complement cloud and precipitation tracking using geostationary satellites and weather radars. Here, two-dimensional (2-D) Along-Wind Range Height Indicator (AW-RHI) observations of a population of shallow cumuli (with and without precipitation) from the 35-GHz scanning ARM cloud radar (SACR) at the DOE Atmospheric Radiation Measurements (ARM) program Southern Great Plains (SGP) site are presented. Observations from the ARM SGP network of scanning precipitation radars are used to provide the larger scale context of the cloud field and to highlight the advantages of the SACR to detect the numerous, small, non-precipitating cloud elements. A new Cloud Identification and Tracking Algorithm (CITA) is developed to track cloud elements. In CITA, a cloud element is identified as a region having a contiguous set of pixels exceeding a preset reflectivity and size threshold. The high temporal resolution of the SACR 2-D observations (30 sec) allows for an area superposition criteria algorithm to match cloud elements at consecutive times. Following CITA, the temporal evolution of cloud element properties (number, size, and maximum reflectivity) is presented. The vast majority of the designated elements during this cumulus event were short-lived non-precipitating clouds having an apparent life cycle shorter than 15 minutes. The advantages and disadvantages of cloud tracking using an SACR are discussed.

  7. ARM: X-Band Scanning ARM Cloud Radar (XSACR) Boundary Layer RHI...

    Office of Scientific and Technical Information (OSTI)

    Title: ARM: X-Band Scanning ARM Cloud Radar (XSACR) Boundary Layer RHI Scan X-Band Scanning ARM Cloud Radar (XSACR) Boundary Layer RHI Scan Authors: Dan Nelson ; Joseph Hardin ; ...

  8. ARM: X-Band Scanning ARM Cloud Radar (XSACR) Cross-Wind RHI Scan...

    Office of Scientific and Technical Information (OSTI)

    Cross-Wind RHI Scan Title: ARM: X-Band Scanning ARM Cloud Radar (XSACR) Cross-Wind RHI Scan X-Band Scanning ARM Cloud Radar (XSACR) Cross-Wind RHI Scan Authors: Dan Nelson ; Joseph ...

  9. First observations of tracking clouds using scanning ARM cloud radars

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Borque, Paloma; Giangrande, Scott; Kollias, Pavlos

    2014-12-01

    Tracking clouds using scanning cloud radars can help to document the temporal evolution of cloud properties well before large drop formation (‘‘first echo’’). These measurements complement cloud and precipitation tracking using geostationary satellites and weather radars. Here, two-dimensional (2-D) Along-Wind Range Height Indicator (AW-RHI) observations of a population of shallow cumuli (with and without precipitation) from the 35-GHz scanning ARM cloud radar (SACR) at the DOE Atmospheric Radiation Measurements (ARM) program Southern Great Plains (SGP) site are presented. Observations from the ARM SGP network of scanning precipitation radars are used to provide the larger scale context of the cloud fieldmore » and to highlight the advantages of the SACR to detect the numerous, small, non-precipitating cloud elements. A new Cloud Identification and Tracking Algorithm (CITA) is developed to track cloud elements. In CITA, a cloud element is identified as a region having a contiguous set of pixels exceeding a preset reflectivity and size threshold. The high temporal resolution of the SACR 2-D observations (30 sec) allows for an area superposition criteria algorithm to match cloud elements at consecutive times. Following CITA, the temporal evolution of cloud element properties (number, size, and maximum reflectivity) is presented. The vast majority of the designated elements during this cumulus event were short-lived non-precipitating clouds having an apparent life cycle shorter than 15 minutes. The advantages and disadvantages of cloud tracking using an SACR are discussed.« less

  10. ARM: X-Band Scanning ARM Cloud Radar (X-SACR) Side-Looking Radar (Dataset)

    Office of Scientific and Technical Information (OSTI)

    | Data Explorer X-SACR) Side-Looking Radar Title: ARM: X-Band Scanning ARM Cloud Radar (X-SACR) Side-Looking Radar X-Band Scanning ARM Cloud Radar (X-SACR) Side-Looking Radar Authors: Dan Nelson ; Joseph Hardin ; Iosif [1] ; Bradley Isom ; Karen Johnson ; Nitin Bharadwaj + Show Author Affiliations (Andrei) Lindenmaier Publication Date: 2014-01-16 OSTI Identifier: 1150300 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation

  11. W-Band ARM Cloud Radar - Specifications and Design

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

    W-88

    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

  12. ARM: Ka-Band Scanning ARM Cloud Radar (KASACR) Corner Reflector Raster Scan

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer Ka-Band Scanning ARM Cloud Radar (KASACR) Corner Reflector Raster Scan Title: ARM: Ka-Band Scanning ARM Cloud Radar (KASACR) Corner Reflector Raster Scan Ka-Band Scanning ARM Cloud Radar (KASACR) Corner Reflector Raster Scan Authors: Dan Nelson ; Joseph Hardin ; Iosif [1] ; Bradley Isom ; Karen Johnson ; Nitin Bharadwaj + Show Author Affiliations (Andrei) Lindenmaier Publication Date: 2012-07-19 OSTI Identifier: 1095596 DOE Contract Number: DE-AC05-00OR22725

  13. ARM: Ka-Band Scanning ARM Cloud Radar (KASACR) Zenith Pointing PPI

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer Ka-Band Scanning ARM Cloud Radar (KASACR) Zenith Pointing PPI Title: ARM: Ka-Band Scanning ARM Cloud Radar (KASACR) Zenith Pointing PPI Ka-Band Scanning ARM Cloud Radar (KASACR) Zenith Pointing PPI Authors: Dan Nelson ; Joseph Hardin ; Iosif [1] ; Bradley Isom ; Karen Johnson ; Nitin Bharadwaj + Show Author Affiliations (Andrei) Lindenmaier Publication Date: 2014-04-14 OSTI Identifier: 1140236 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type:

  14. ARM: Ka-Band Scanning ARM Cloud Radar, filtered spectral data...

    Office of Scientific and Technical Information (OSTI)

    Ka-Band Scanning ARM Cloud Radar, filtered spectral data, co-polarized mode Authors: Dan Nelson ; Joseph Hardin ; Iosif 1 ; Bradley Isom ; Karen Johnson ; Nitin Bharadwaj + Show ...

  15. ARM: X-Band Scanning ARM Cloud Radar, filtered spectral data...

    Office of Scientific and Technical Information (OSTI)

    X-Band Scanning ARM Cloud Radar, filtered spectral data, co-polarized mode Authors: Dan Nelson ; Joseph Hardin ; Iosif 1 ; Bradley Isom ; Karen Johnson ; Nitin Bharadwaj + Show ...

  16. W-band ARM Cloud Radar (WACR) Handbook

    SciTech Connect (OSTI)

    Widener, KB; Johnson, K

    2005-01-05

    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.

  17. 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 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,

  18. ARM - Measurement - Radar Doppler

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

    quality assurance purposes. ARM Instruments CSAPR : C-Band ARM Precipitation Radar DL : Doppler Lidar KAZR : Ka ARM Zenith Radar KASACR : Ka-Band Scanning ARM Cloud Radar MWACR :...

  19. Scanning ARM Cloud Radars Part I: Operational Sampling Strategies

    SciTech Connect (OSTI)

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

    2014-03-01

    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.

  20. ARM: Marine W-band (95 GHz) ARM Cloud Radar, filtered spectral data,

    Office of Scientific and Technical Information (OSTI)

    co-polarized mode (Dataset) | Data Explorer Marine W-band (95 GHz) ARM Cloud Radar, filtered spectral data, co-polarized mode Title: ARM: Marine W-band (95 GHz) ARM Cloud Radar, filtered spectral data, co-polarized mode Marine W-band (95 GHz) ARM Cloud Radar, filtered spectral data, co-polarized mode Authors: Joseph Hardin ; Bradley Isom ; Karen Johnson ; Nitin Bharadwaj Publication Date: 2013-06-28 OSTI Identifier: 1150244 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data

  1. ARM: X-Band Scanning ARM Cloud Radar (XSACR) Zenith Pointing PPI (Dataset)

    Office of Scientific and Technical Information (OSTI)

    | Data Explorer XSACR) Zenith Pointing PPI Title: ARM: X-Band Scanning ARM Cloud Radar (XSACR) Zenith Pointing PPI X-Band Scanning ARM Cloud Radar (XSACR) Zenith Pointing PPI Authors: Widener, Kevin ; Nelson, Dan ; Bharadwaj, Nitin ; Lindenmaier, Iosif [1] ; Johnson, Karen + Show Author Affiliations Andrei Publication Date: 2014-04-14 OSTI Identifier: 1150304 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement

  2. ARM: X-Band Scanning ARM Cloud Radar (XSACR) RHI Scans, which...

    Office of Scientific and Technical Information (OSTI)

    X-Band Scanning ARM Cloud Radar (XSACR) RHI Scans, which can vary in elevation range and azimuth Authors: Dan Nelson ; Joseph Hardin ; Iosif 1 ; Bradley Isom ; Karen Johnson ; ...

  3. ARM: X-Band Scanning ARM Cloud Radar (W-SACR) Corner Reflector Raster Scan

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer W-SACR) Corner Reflector Raster Scan Title: ARM: X-Band Scanning ARM Cloud Radar (W-SACR) Corner Reflector Raster Scan X-Band Scanning ARM Cloud Radar (W-SACR) Corner Reflector Raster Scan Authors: Dan Nelson ; Joseph Hardin ; Iosif [1] ; Bradley Isom ; Karen Johnson ; Nitin Bharadwaj + Show Author Affiliations (Andrei) Lindenmaier Publication Date: 2014-03-07 OSTI Identifier: 1150295 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric

  4. ARM - Evaluation Product - Scanning ARM Cloud Radar Corrections...

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

    added moment variables (reflectivitycorrected, meandopplervelocitycorrected, and meandopplervelocitycorrected2) provide radar moments filtered to remove measurement...

  5. Scanning ARM Cloud Radars. Part I: Operational Sampling Strategies (Journal

    Office of Scientific and Technical Information (OSTI)

    Article) | SciTech Connect I: Operational Sampling Strategies Citation Details In-Document Search Title: Scanning ARM Cloud Radars. Part I: Operational Sampling Strategies Authors: Kollias P. ; Johnson K. ; Bharadwaj, N. ; Widener, K. ; Jo, I. Publication Date: 2014-03-01 OSTI Identifier: 1143615 Report Number(s): BNL--105483-2014-JA R&D Project: 2015-BNL-EE630EECA-Budg; KP1701000 DOE Contract Number: DE-AC02-98CH10886 Resource Type: Journal Article Resource Relation: Journal Name: J.

  6. Validation of a radar doppler spectra simulator using measurements from the ARM cloud radars

    SciTech Connect (OSTI)

    Remillard, J.; Luke, E.; Kollias, P.

    2010-03-15

    The use of forward models as an alternative approach to compare models with observations contains advantages and challenges. Radar Doppler spectra simulators are not new; their application in high- resolution models with bin microphysics schemes could help to compare model output with the Doppler spectra recorded from the vertically pointing cloud radars at the ARM Climate Research Facility sites. The input parameters to a Doppler spectra simulator are both microphysical (e.g., particle size, shape, phase, and number concentration) and dynamical (e.g., resolved wind components and sub-grid turbulent kinetic energy). Libraries for spherical and non-spherical particles are then used to compute the backscattering cross-section and fall velocities, while the turbulence is parameterized as a Gaussian function with a prescribed width. The Signal-to-Noise Ratio (SNR) is used to determine the amount of noise added throughout the spectrum, and the spectral smoothing due to spectral averages is included to reproduce the averaging realized by cloud radars on successive returns. Thus, realistic Doppler spectra are obtained, and several parameters that relate to the morphological characteristics of the synthetically generated spectra are computed. Here, the results are compared to the new ARM microARSCL data products in an attempt to validate the simulator. Drizzling data obtained at the SGP site by the MMCR and the AMF site at Azores using the WACR are used to ensure the liquid part and the turbulence representation part of the simulator are properly accounted in the forward model.

  7. 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)]

    Dan Nelson; Joseph Hardin; Iosif (Andrei) Lindenmaier; Bradley Isom; Karen Johnson; Nitin Bharadwaj

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

  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)]

    Dan Nelson; Joseph Hardin; Iosif (Andrei) Lindenmaier; Bradley Isom; Karen Johnson; Nitin Bharadwaj

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

  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)]

    Dan Nelson; Joseph Hardin; Iosif (Andrei) Lindenmaier; Bradley Isom; Karen Johnson; Nitin Bharadwaj

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

  10. 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)]

    Dan Nelson; Joseph Hardin; Iosif (Andrei) Lindenmaier; Bradley Isom; Karen Johnson; Nitin Bharadwaj

    2011-05-24

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

  11. 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)]

    Dan Nelson; Joseph Hardin; Iosif (Andrei) Lindenmaier; Bradley Isom; Karen Johnson; Nitin Bharadwaj

    1990-01-01

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

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

    SciTech Connect (OSTI)

    Dan Nelson; Joseph Hardin; Iosif Lindenmaier; Bradley Isom; Karen Johnson; Nitin Bharadwaj

    2011-09-14

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

  13. ARM Scanning Radar

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

    Scanning Radar Azores Graciosa Deployment Cloud Climatology for Azores AMF Site: Graciosa Island in the Azores (28 o W 39 o N) * Small Low Island * No Direct Continental Influence * MBL Depths 1-2 km Stratocumulus Cumulus Under Stratocumulus Small Cumulus Large Cumulus Avg Winds Scanning W-band ARM Cloud Radar Same radar frequency as NASA's CloudSat Capable of detecting all radiatively significant clouds in a radius of 5-10* km Scanning capabilities: 1. Horizon to Horizon (fixed azimuth) 2.

  14. ARM: X-Band Scanning ARM Cloud Radar (X-SACR) Side-Looking Radar...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Cloud particle size distribution; Hydrometeor fall velocity; ...

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

    SciTech Connect (OSTI)

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

    2013-06-11

    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.

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

    SciTech Connect (OSTI)

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

    2014-03-01

    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 HS-RHI 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.

  17. Scanning ARM Cloud Radars. Part II: Data Quality Control and...

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE SC OFFICE OF SCIENCE (SC) Country of Publication: United States Language: English Subject: 54 ENVIRONMENTAL SCIENCES Word Cloud More Like This Full Text ...

  18. Scanning ARM Cloud Radars. Part I: Operational Sampling Strategies...

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE SC OFFICE OF SCIENCE (SC) Country of Publication: United States Language: English Subject: 54 ENVIRONMENTAL SCIENCES Word Cloud More Like This Full Text ...

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

    SciTech Connect (OSTI)

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

    2014-03-01

    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.

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

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect II: Data Quality Control and Processing Citation Details In-Document Search Title: Scanning ARM Cloud Radars. Part II: Data Quality Control and Processing Authors: Kollias P. ; Johnson K. ; Jo, I. ; Borque, P. ; Tatarevic, A. ; Lamer, K. ; Bharadwaj, N. ; Widener, K. ; Clothiaux, E. E. Publication Date: 2014-03-01 OSTI Identifier: 1143616 Report Number(s): BNL--105484-2014-JA R&D Project: 2015-BNL-EE630EECA-Budg; KP1701000 DOE Contract Number:

  1. ARM: Marine W-band (95 GHz) ARM Cloud Radar (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Radar Doppler; Radar reflectivity Dataset File size NAView ...

  2. ARM: Marine W-band (95 GHz) ARM Cloud Radar, filtered spectral...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Radar Doppler; Radar reflectivity Dataset File size NAView ...

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

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

    state, and did the same for the model output. - By profiles of cloud occurrence, we mean (at given altitude above ground level) the relative frequency that a cloud was...

  4. ARM: Ka-Band Scanning ARM Cloud Radar (KASACR) Zenith Pointing...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Atmospheric turbulence; Cloud particle size distribution; ...

  5. ARM: X-Band Scanning ARM Cloud Radar (XSACR) Zenith Pointing...

    Office of Scientific and Technical Information (OSTI)

    Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Cloud particle size distribution; Hydrometeor fall velocity; ...

  6. ARM: Ka-Band Scanning ARM Cloud Radar (KASACR) Corner Reflector...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Atmospheric turbulence; Cloud particle size distribution; ...

  7. ARM: X-Band Scanning ARM Cloud Radar (W-SACR) Corner Reflector...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Cloud particle size distribution; Hydrometeor fall velocity; ...

  8. doe sc arm 16 025 The Radar Wind Profiler for Cloud Forecasting at BNL_formatted

    Office of Scientific and Technical Information (OSTI)

    5 Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report MP Jensen SE Giangrande MJ Bartholomew April 2016 CLIMATE RESEARCH FACILITY 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

  9. ARM - Radar Backgrounder

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

    CenterRadar Backgrounder Media Contact Hanna Goss hanna-dot-goss-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes110 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 ARM Mobile Facility 3 1 BAECC 1 BBOP 4 ENA 1 GOAMAZON 7 HI-SCALE 3 MAGIC 15 MC3E 17 PECAN 3 SGP 7 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

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

    SciTech Connect (OSTI)

    Liu, Guosheng

    2013-03-15

    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 GCMs’ 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.

  11. ARM - Measurement - Cloud extinction

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

    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 andor ...

  12. Ka-Band ARM Zenith Radar (KAZR) Instrument Handbook

    SciTech Connect (OSTI)

    Widener, K; Bharadwaj, N; Johnson, K

    2012-03-06

    The Ka-band ARM zenith radar (KAZR) is a zenith-pointing Doppler cloud radar operating at approximately 35 GHz. The KAZR is an evolutionary follow-on radar to ARM's widely successful millimeter-wavelength cloud radar (MMCR). The main purpose of the KAZR is to provide vertical profiles of clouds by measuring the first three Doppler moments: reflectivity, radial Doppler velocity, and spectra width. At the sites where the dual-polarization measurements are made, the Doppler moments for the cross-polarization channel are also available. In addition to the moments, velocity spectra are also continuously recorded for each range gate.

  13. ARM - Measurement - Radar polarization

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

    : 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...

  14. 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)]

    Karen Johnson; Nitin Bharadwaj

    1990-01-01

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

  15. Python-ARM Radar Toolkit

    Energy Science and Technology Software Center (OSTI)

    2013-03-17

    The Python-ARM Radar Toolkit (Py-ART) is a collection of radar quality control and retrieval codes which all work on two unifying Python objects: the PyRadar and PyGrid objects. By building ingests to several popular radar formats and then abstracting the interface Py-ART greatly simplifies data processing over several other available utilities. In addition Py-ART makes use of Numpy arrays as its primary storage mechanism enabling use of existing and extensive community software tools.

  16. Science Goals for the ARM Recovery Act Radars

    SciTech Connect (OSTI)

    JH Mather

    2012-05-29

    Science Goals for the ARM Recovery Act Radars. In October 2008, an ARM workshop brought together approximately 30 climate research scientists to discuss the Atmospheric Radiation Measurement (ARM) Climate Research Facility's role in solving outstanding climate science issues. Through this discussion it was noted that one of ARM's primary contributions is to provide detailed information about cloud profiles and their impact on radiative fluxes. This work supports cloud parameterization development and improved understanding of cloud processes necessary for that development. A critical part of this work is measuring microphysical properties (cloud ice and liquid water content, cloud particle sizes, shapes, and distribution). ARM measurements and research have long included an emphasis on obtaining the best possible microphysical parameters with the available instrumentation. At the time of the workshop, this research was reaching the point where additional reduction in uncertainties in these critical parameters required new instrumentation for applications such as specifying radiative heating profiles, measuring vertical velocities, and studying the convective triggering and evolution of three-dimensional (3D) cloud fields. ARM was already operating a subset of the necessary instrumentation to make some progress on these problems; each of the ARM sites included (and still includes) a cloud radar (operating at 35 or 94 GHz), a cloud lidar, and balloon-borne temperature and humidity sensors. However, these measurements were inadequate for determining detailed microphysical properties in most cases. Additional instrumentation needed to improve retrievals of microphysical processes includes radars at two additional frequencies for a total of three at a single site (35 GHz, 94 GHz, and a precipitation radar) and a Doppler lidar. Evolving to a multi-frequency scanning radar is a medium-term goal to bridge our understanding of two-dimensional (2D) retrievals to the 3D cloud field. These additional microphysical measurements would allow detailed cloud properties to be derived even in the presence of light precipitation. It is important to couple these detailed measurements of cloud microphysics to vertical motion on the cloud scale to couple microphysics with meteorological processes. Vertically pointing Doppler radars provide the vertical motion of cloud particles but, to separate particle motion from air motion, a wind profiler is required. The American Recovery and Reinvestment Act provided the means to address these needs and implement a multi-frequency suite of radars, including scanning radars, at each of the ARM sites. In addition, Doppler lidars have been deployed at several sites. With these new measurement capabilities, ARM has the measurement capabilities to tackle the problems of improving microphysical profile descriptions and evaluating the relationship between our current narrow-field-of view, zenith perspective on clouds to a description of the full 3D cloud field and its temporal evolution.

  17. ARM - Measurement - Total cloud water

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

    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...

  18. Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory

    Office of Scientific and Technical Information (OSTI)

    (BNL) Field Campaign Report (Technical Report) | SciTech Connect SciTech Connect Search Results Technical Report: Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report Citation Details In-Document Search Title: Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report The Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) [http://www.arm.gov/campaigns/osc2013rwpcf]

  19. ARM - Field Campaign - Marine ARM GPCI Investigation of Clouds...

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

    govCampaignsMarine ARM GPCI Investigation of Clouds (MAGIC) Campaign Links MAGIC Website ARM Data Discovery Browse Data Related Campaigns Marine ARM GPCI Investigation of Clouds...

  20. ARM - Measurement - Radar reflectivity

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

    upon the size, shape, aspect, and dielectric properties of that target. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  1. Millimeter Wave Cloud Radar (MMCR) Handbook

    SciTech Connect (OSTI)

    KB Widener; K Johnson

    2005-01-30

    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.

  2. ARM - Evaluation Product - Cloud Microbase-kazr Profiles (ka...

    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 Evaluation Product : Cloud Microbase-kazr Profiles (ka) VAP The KAZR radars have recently replaced the...

  3. Comparison of Parameterized Cloud Variability to ARM Data

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

    ... 2000 IOP of the ARM Program, we use a battery of observations to assess whether the ... (35 GHz) cloud radar (MMCR), a Belfort laser ceilometer, and a MWR. Aircraft sampling ...

  4. ARM - Measurement - Cloud ice particle

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

    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...

  5. ARM - Measurement - Images of Clouds

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

    Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Images of Clouds Digital images of cloud scenes (various formats) from satellite, aircraft, and ground-based...

  6. ARM - Measurement - Cloud size

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

    measurements as cloud thickness, cloud area, and cloud aspect ratio. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  7. ARM: Ka ARM Zenith Radar (KAZR): filtered spectral data, high...

    Office of Scientific and Technical Information (OSTI)

    Ka ARM Zenith Radar (KAZR): filtered spectral data, high sensitivity mode, co-polarized mode Authors: Dan Nelson ; Joseph Hardin ; Iosif 1 ; Bradley Isom ; Karen Johnson ; Nitin ...

  8. First observations of tracking clouds using scanning ARM cloud...

    Office of Scientific and Technical Information (OSTI)

    Tracking clouds using scanning cloud radars can help to document the temporal evolution of ... Following CITA, the temporal evolution of cloud element properties (number, size, and ...

  9. ARM - Measurement - Cloud type

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

    Measurement : Cloud type Cloud type such as cirrus, stratus, cumulus etc Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  10. ARM - Evaluation Product - ARM Cloud Retrieval Ensemble Data

    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 Evaluation Product : ARM Cloud Retrieval Ensemble Data The ARM Cloud Retrieval Ensemble Data (ACRED) set...

  11. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E):

    Office of Scientific and Technical Information (OSTI)

    Multi-Frequency Profilers, S-band Radar (williams-s_band) (Dataset) | Data Explorer Data Explorer Search Results ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, S-band Radar (williams-s_band) Title: ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, S-band Radar (williams-s_band) This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA

  12. ARM: Ka ARM Zenith Radar (KAZR): filtered spectral data, moderate

    Office of Scientific and Technical Information (OSTI)

    sensitivity mode, co-polarized mode (Dataset) | Data Explorer co-polarized mode Title: ARM: Ka ARM Zenith Radar (KAZR): filtered spectral data, moderate sensitivity mode, co-polarized mode Ka ARM Zenith Radar (KAZR): filtered spectral data, moderate sensitivity mode, co-polarized mode Authors: Dan Nelson ; Joseph Hardin ; Iosif [1] ; Bradley Isom ; Karen Johnson ; Nitin Bharadwaj + Show Author Affiliations (Andrei) Lindenmaier Publication Date: 2013-04-01 OSTI Identifier: 1095603 DOE

  13. ARM: Ka ARM Zenith Radar (KAZR): filtered spectral data, moderate

    Office of Scientific and Technical Information (OSTI)

    sensitivity mode, cross-polarized mode (Dataset) | Data Explorer cross-polarized mode Title: ARM: Ka ARM Zenith Radar (KAZR): filtered spectral data, moderate sensitivity mode, cross-polarized mode Ka ARM Zenith Radar (KAZR): filtered spectral data, moderate sensitivity mode, cross-polarized mode Authors: Dan Nelson ; Joseph Hardin ; Iosif [1] ; Bradley Isom ; Karen Johnson ; Nitin Bharadwaj + Show Author Affiliations (Andrei) Lindenmaier Publication Date: 2013-04-01 OSTI Identifier: 1095604

  14. ARM Installs Aircraft Detection Radar System

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

    ARM Installs Aircraft Detection Radar System For improved safety in and around the ARM SGP CART site, the ARM Program recently purchased and installed an aircraft detection radar system at the central facility near Lamont, Oklahoma. The new system will enhance safety measures already in place at the central facility. The SGP CART site, especially the central facility, houses several instruments employing laser technology. These instruments are designed to be eye-safe and are not a hazard to

  15. ARM - Measurement - Cloud location

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

    point in space and time, typically expressed as a binary cloud mask. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  16. 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)]

    Williams, Christopher

    2012-11-06

    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.

  17. ARM - Cloud Twist

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

    Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox ...

  18. ARM - Cloud Word Seek

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

    Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox ...

  19. ARM - Cloud Memory

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

    Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox ...

  20. ARM - Cloud and Rain

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

    Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox ...

  1. ARM - Measurement - Cloud fraction

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

    recorded for diagnostic or quality assurance purposes. ARM Instruments IRSI : Infra-Red Sky Imager MPL : Micropulse Lidar SKYRAD : Sky Radiometers on Stand for Downwelling...

  2. ARM - Evaluation Product - Precipitation Radar Moments Mapped...

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

    We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Precipitation Radar Moments Mapped to a Cartesian Grid The Scanning...

  3. ARM - Field Campaign - Marine ARM GPCI Investigations of Clouds...

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

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Marine ARM GPCI Investigations of Clouds (MAGIC): Cloud Properties from Zenith...

  4. ARM - Measurement - Cloud phase

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

    that involves property descriptors such as stratus, cumulus, and cirrus. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  5. ARM - Instrument - wacr

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

    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...

  6. ARM Data for Cloud Parameterization

    SciTech Connect (OSTI)

    Xu, Kuan-Man

    2006-10-02

    The PI's ARM investigation (DE-IA02-02ER633 18) developed a physically-based subgrid-scale saturation representation that fully considers the direct interactions of the parameterized subgrid-scale motions with subgrid-scale cloud microphysical and radiative processes. Major accomplishments under the support of that interagency agreement are summarized in this paper.

  7. ARM Climate Research Facility Radar Operations Plan (Program...

    Office of Scientific and Technical Information (OSTI)

    Climate Research Facility Radar Operations Plan Citation Details In-Document Search Title: ARM Climate Research Facility Radar Operations Plan Roles, responsibilities, and ...

  8. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E):

    Office of Scientific and Technical Information (OSTI)

    Multi-Frequency Profilers, Parcivel Disdrometer (williams-disdro) (Dataset) | Data Explorer Parcivel Disdrometer (williams-disdro) Title: ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, Parcivel Disdrometer (williams-disdro) 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

  9. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E):

    Office of Scientific and Technical Information (OSTI)

    Multi-Frequency Profilers, Surface Meteorology (williams-surfmet) (Dataset) | Data Explorer Surface Meteorology (williams-surfmet) Title: ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, Surface Meteorology (williams-surfmet) 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

  10. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E):

    Office of Scientific and Technical Information (OSTI)

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

  11. ARM - Evaluation Product - ISCCP Cloud Data Around the ARM Sites

    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 Evaluation Product : ISCCP Cloud Data Around the ARM Sites ISCCP data (Rossow and Schiffer, 1999 and...

  12. ARM - Field Campaign - ARM Cloud Aerosol Precipitation Experiment...

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

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : ARM Cloud Aerosol Precipitation Experiment (ACAPEX) 2015.01.14 - 2015.02.12 Lead...

  13. ARM - Field Campaign - Marine ARM GPCI Investigations of Clouds...

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

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Marine ARM GPCI Investigations of Clouds (MAGIC): Parsivel Disdrometer support for...

  14. ARM - Field Campaign - ARM Cloud Aerosol Precipitation Experiment...

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

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : ARM Cloud Aerosol Precipitation Experiment (ACAPEX): Aerial Observations 2015.01.14...

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

    SciTech Connect (OSTI)

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

    2010-03-15

    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.

  16. ARM - Field Campaign - Midlatitude Continental Convective Clouds...

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

    Experiment (MC3E) Campaign Links Science Plan MC3E Website Field Campaign Report ARM Data Discovery Browse Data Related Campaigns Midlatitude Continental Convective Clouds...

  17. ARM - Measurement - Cloud particle size distribution

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

    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...

  18. ARM - Measurement - Cloud particle number concentration

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

    from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud particle number concentration The total number of cloud particles present in any given volume...

  19. ARM - Facility News Article

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

    4, 2012 [Facility News] New Organization to Optimize ARM Radar Data Bookmark and Share Every ARM fixed and mobile site now includes both scanning (left) and zenith-pointing (right) cloud radars. The fixed sites also include scanning precipitation radars. Every ARM fixed and mobile site now includes both scanning (left) and zenith-pointing (right) cloud radars. The fixed sites also include scanning precipitation radars. In the past few years, the ARM Facility added 19 new scanning cloud and

  20. ARM - Feature Stories and Releases Article

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

    radars as well as upgrades to the baseline ARM millimeter wave cloud radars (MMCR) ... These radars will be deployed several kilometers from the baseline instrument clusters at ...

  1. ARM: Ka ARM Zenith Radar (KAZR): filtered spectral data, moderate...

    Office of Scientific and Technical Information (OSTI)

    Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Radar Doppler; Radar polarization; Radar reflectivity; Vertical ...

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

    SciTech Connect (OSTI)

    Kollias, P.; Luke, E.; Szyrmer, W.; Rmillard, J.

    2011-07-02

    In part 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 to include skewness and kurtosis as additional descriptors of the Doppler spectrum. Here, a short climatology of observed Doppler spectra moments as a function of the radar reflectivity at continental and maritime ARM sites is presented. The evolution of the Doppler spectra moments is consistent with the onset and growth of drizzle particles and can be used to assist modeling studies of drizzle onset and growth. Time-height radar observations are used to exhibit the coherency of the Doppler spectra shape parameters and demonstrate their potential to improve the interpretation and use of radar observations. In addition, a simplified microphysical approach to modeling the vertical evolution of the drizzle particle size distribution in warm stratiform clouds is described and used to analyze the observations. The formation rate of embryonic drizzle droplets due to the autoconversion process is not calculated explicitly; however, accretion and evaporation processes are explicitly modeled. The microphysical model is used as input to a radar Doppler spectrum forward model, and synthetic radar Doppler spectra moments are generated. Three areas of interest are studied in detail: early drizzle growth near the cloud top, growth by accretion of the well-developed drizzle, and drizzle depletion below the cloud base due to evaporation. The modeling results are in good agreement with the continental and maritime observations. This demonstrates that steady state one-dimensional explicit microphysical models coupled with a forward model and comprehensive radar Doppler spectra observations offer a powerful method to explore the vertical evolution of the drizzle particle size distribution.

  3. 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 Activities 1515 to 1530: M. Jensen - Cloud Properties Value- Added Product Development 1530 to 1545: C. Long - Instrument Group Report 1545 to 1600: S. Matrosov - WSR-88D data for ARM science 1600 to 1615: Y. Zhao - A BimodalParticle Distribution Assumption in Cirrus: Comparison of retrieval results with in situ

  4. Evaluation of high‐level clouds in cloud resolving model simulations with ARM and KWAJEX observations

    Office of Scientific and Technical Information (OSTI)

    fflAGUPUBLICATIONS Journal of Advances in Modeling Earth Systems RESEARCH ARTICLE Evaluation of high-level clouds in cloud resolving model 10.1002/2015MS000478 simulations with ARM and KWAJEX observations Key Points: * Two-moment microphysics improves simulated radar reflectivity histograms * Simulated high cloud amount is not sensitive to uncertainties in tested ice microphysics * Forcing uncertainties and periodic lateral BC lead to bias in high cloud amount Correspondence to: Z. Liu,

  5. ARM - Field Campaign - Marine ARM GPCI Investigations of Clouds...

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

    Browse Data Related Campaigns Marine ARM GPCI Investigation of Clouds (MAGIC) 2012.10.01, Lewis, AMF Comments? We would love to hear from you Send us a note below or call us at...

  6. Evaluation of high-level clouds in cloud resolving model simulations with ARM and KWAJEX observations

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Liu, Zheng; Muhlbauer, Andreas; Ackerman, Thomas

    2015-11-05

    In this paper, we evaluate high-level clouds in a cloud resolving model during two convective cases, ARM9707 and KWAJEX. The simulated joint histograms of cloud occurrence and radar reflectivity compare well with cloud radar and satellite observations when using a two-moment microphysics scheme. However, simulations performed with a single moment microphysical scheme exhibit low biases of approximately 20 dB. During convective events, two-moment microphysical overestimate the amount of high-level cloud and one-moment microphysics precipitate too readily and underestimate the amount and height of high-level cloud. For ARM9707, persistent large positive biases in high-level cloud are found, which are not sensitivemore » to changes in ice particle fall velocity and ice nuclei number concentration in the two-moment microphysics. These biases are caused by biases in large-scale forcing and maintained by the periodic lateral boundary conditions. The combined effects include significant biases in high-level cloud amount, radiation, and high sensitivity of cloud amount to nudging time scale in both convective cases. The high sensitivity of high-level cloud amount to the thermodynamic nudging time scale suggests that thermodynamic nudging can be a powerful ‘‘tuning’’ parameter for the simulated cloud and radiation but should be applied with caution. The role of the periodic lateral boundary conditions in reinforcing the biases in cloud and radiation suggests that reducing the uncertainty in the large-scale forcing in high levels is important for similar convective cases and has far reaching implications for simulating high-level clouds in super-parameterized global climate models such as the multiscale modeling framework.« less

  7. ARM: Ka ARM Zenith Radar (KAZR): filtered spectral data, moderate...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Radar Doppler; Radar polarization; Radar reflectivity; Vertical ...

  8. ARM: Ka ARM Zenith Radar (KAZR): precipitation mode (Dataset...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Radar Doppler; Radar polarization; Radar reflectivity; Vertical ...

  9. ARM - Field Campaign - Midlatitude Continental Convective Clouds...

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

    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...

  10. ARM - Field Campaign - Boundary Layer Cloud IOP

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

    govCampaignsBoundary Layer Cloud IOP Campaign Links Campaign Images ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at...

  11. ARM - Field Campaign - Arctic Cloud Infrared Imaging

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

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Arctic Cloud Infrared Imaging 2012.07.16 - 2014.07.31 Lead Scientist : Joseph Shaw...

  12. ARM - Measurement - Cloud droplet size

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

    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...

  13. ARM - Measurement - Cloud effective radius

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

    the number size distribution of cloud particles, whether liquid or ice. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  14. ARM - Instrument - sacr

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

    : Scanning ARM cloud radar (SACR) Instrument Categories Cloud Properties Contact(s) Karen Johnson Brookhaven National Laboratory (631) 344-5952 kjohnson@bnl.gov Nitin...

  15. CloudSat as a Global Radar Calibrator

    SciTech Connect (OSTI)

    Protat, Alain; Bouniol, Dominique; O'Connor, E. J.; Baltink, Henk K.; Verlinde, J.; Widener, Kevin B.

    2011-03-01

    The calibration of the CloudSat spaceborne cloud radar has been thoroughly assessed using very accurate internal link budgets before launch, comparisons with predicted ocean surface backscatter at 94 GHz, direct comparisons with airborne cloud radars, and statistical comparisons with ground-based cloud radars at different locations of the world. It is believed that the calibration of CloudSat is accurate to within 0.5 to 1 dB. In the present paper it is shown that an approach similar to that used for the statistical comparisons with ground-based radars can now be adopted the other way around to calibrate other ground-based or airborne radars against CloudSat and / or detect anomalies in long time series of ground-based radar measurements, provided that the calibration of CloudSat is followed up closely (which is the case). The power of using CloudSat as a Global Radar Calibrator is demonstrated using the Atmospheric Radiation Measurement cloud radar data taken at Barrow, Alaska, the cloud radar data from the Cabauw site, The Netherlands, and airborne Doppler cloud radar measurements taken along the CloudSat track in the Arctic by the RASTA (Radar SysTem Airborne) cloud radar installed in the French ATR-42 aircraft for the first time. It is found that the Barrow radar data in 2008 are calibrated too high by 9.8 dB, while the Cabauw radar data in 2008 are calibrated too low by 8.0 dB. The calibration of the RASTA airborne cloud radar using direct comparisons with CloudSat agrees well with the expected gains and losses due to the change in configuration which required verification of the RASTA calibration.

  16. ARM - Field Campaign - ARM West Antarctic Radiation Experiment...

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

    ... Cloud Radar Browse Data KAZR Ka ARM Zenith Radar Browse Data LDIS Laser Disdrometer Browse Data MET Surface Meteorological Instrumentation Browse Data Browse Plots MFR ...

  17. ARM - Measurement - Cloud base height

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

    ARM Instruments BLC : Belfort Laser Ceilometer CEIL : Ceilometer IRSI : Infra-Red Sky ... External Instruments NOAASURF : NOAA Surface Meteorology Data, collected by NWS and ...

  18. ARM - Lesson Plans: Making Clouds

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

    Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox ...

  19. ARM - Measurement - Cloud top height

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

    RUC : Rapid Update Cycle Model Data Field Campaign Instruments CO2LIDAR : Carbon Dioxide Doppler Lidar MPLCMASK : Cloud mask from Micropulse Lidar VARANAL : Constrained...

  20. ARM - Measurement - Cloud optical depth

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

    TWST : Three Waveband Spectrally-agile Technique Sensor WRF-CHEM : Weather Research and Forecasting (WRF) Model Output Value-Added Products LBTM-MINNIS : Minnis Cloud Products...

  1. ARM - Measurement - Cloud condensation nuclei

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

    AOS : Aerosol Observing System CCN : Cloud Condensation Nuclei Particle Counter TDMA : Tandem Differential Mobility Analyzer Field Campaign Instruments AMT : Aerosol Modeling...

  2. ARM - Field Campaign - NSA Scanning Radar IOP

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

    scanning radar observations for a variety of sampling modes assess the real-time signal processing of the 3-cm wave precipitation scanning radar by collecting IQ time...

  3. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E...

    Office of Scientific and Technical Information (OSTI)

    Title: ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency ... (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). ...

  4. ARM: Aerosol Observing System (AOS): cloud condensation nuclei...

    Office of Scientific and Technical Information (OSTI)

    Title: ARM: Aerosol Observing System (AOS): cloud condensation nuclei data Aerosol Observing System (AOS): cloud condensation nuclei data Authors: Scott Smith ; Cynthia Salwen ; ...

  5. ARM: Microwave Radiometer Retrievals (MWRRET) of Cloud Liquid...

    Office of Scientific and Technical Information (OSTI)

    Microwave Radiometer Retrievals (MWRRET) of Cloud Liquid Water and Precipitable Water Vapor Title: ARM: Microwave Radiometer Retrievals (MWRRET) of Cloud Liquid Water and ...

  6. ARM - Field Campaign - Measuring Clouds at SGP with Stereo Photogramme...

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

    the form of the Point Cloud of Cloud Points Product (PCCPP). The PCCPP will: provide context on life-cycle stage and cloud position for vertically pointing radars, lidars, and...

  7. ARM - Feature Stories and Releases Article

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

    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. ...

  8. ARM - Feature Stories and Releases Article

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

    addition, the Ka-ARM zenith radar, W-Band Scanning ARM Cloud Radar, radar wind profiler, Doppler lidar, and 2-D video disdrometer instrumentation was also added. (See the ENA...

  9. Separating Cloud and Drizzle Radar Moments during Precipitation...

    Office of Scientific and Technical Information (OSTI)

    Onset using Doppler Spectra Citation Details In-Document Search Title: Separating Cloud and Drizzle Radar Moments during Precipitation Onset using Doppler Spectra Authors: ...

  10. Posters Radar/Radiometer Retrievals of Cloud Liquid Water and

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

    for retrieving cloud liquid water content and drizzle characteristics using a K -band Doppler radar (Kropfli et al. 1990) and microwave radiometer (Hogg et al. 1983). The...

  11. ARM Cloud Aerosol Precipitation Experiment

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

    Aerosol Precipitation Experiment a NOAA ship in the Pacific Ocean and on a DOE- sponsored plane over land and sea. These researchers will study: (1) water sources, evolution and structure of atmospheric rivers over the Pacific Ocean (2) long range transport of aerosols over the Pacific Ocean between Hawaii and the U.S. West Coast, and how aerosols interact with atmospheric rivers (3) the point where atmospheric rivers make landfall on the U.S. West Coast, especially how clouds form where

  12. X-band Scanning ARM Precipitation Radar (X-SAPR) Instrument Handbook

    SciTech Connect (OSTI)

    Widener, K; Bharadwaj, N

    2012-10-29

    The X-band scanning ARM cloud radar (X-SAPR) is a full-hemispherical scanning polarimetric Doppler radar transmitting simultaneously in both H and V polarizations. With a 200 kW magnetron transmitter, this puts 100 kW of transmitted power for each polarization. The receiver for the X-SAPR is a Vaisala Sigmet RVP-900 operating in a coherent-on-receive mode. Three X-SAPRs are deployed around the Southern Great Plains (SGP) Central Facility in a triangular array. A fourth X-SAPR is deployed near Barrow, Alaska on top of the Barrow Arctic Research Center.

  13. ARM - Evaluation Product - Corrected Precipitation Radar Moments...

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

    ProductsCorrected Precipitation Radar Moments in Antenna Coordinates Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would...

  14. ARM Cloud-Aerosol-Precipitation Experiment (ACAPEX) Field Campaign Report

    Office of Scientific and Technical Information (OSTI)

    (Program Document) | SciTech Connect SciTech Connect Search Results Program Document: ARM Cloud-Aerosol-Precipitation Experiment (ACAPEX) Field Campaign Report Citation Details In-Document Search Title: ARM Cloud-Aerosol-Precipitation Experiment (ACAPEX) Field Campaign Report The U.S. Department of Energy (DOE)'s Atmospheric Radiation Measurement (ARM) Climate Research Facility's ARM Cloud-Aerosol-Precipitation Experiment (ACAPEX) field campaign contributes to CalWater 2015, a multi-agency

  15. ARM - Midlatitude Continental Convective Clouds

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

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

    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.

  16. ARM - Midlatitude Continental Convective Clouds

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

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

    2012-01-19

    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.

  17. ARM - Facility News Article

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

    5, 2014 [Facility News] Under the Radar-This Time in Retirement Bookmark and Share Kevin Widener (in red), seen here with Andrei Lindenmaier in front of the scanning ARM cloud radar, began retired life officially on October 31, 2014. Kevin Widener (in red), seen here with Andrei Lindenmaier in front of the scanning ARM cloud radar, began retired life officially on October 31, 2014. After 30 years with Pacific Northwest National Laboratory, including the last two decades as leader of ARM's radar

  18. X-band Scanning ARM Precipitation Radar (X-SAPR) Instrument Handbook...

    Office of Scientific and Technical Information (OSTI)

    X-band Scanning ARM Precipitation Radar (X-SAPR) Instrument Handbook Citation Details In-Document Search Title: X-band Scanning ARM Precipitation Radar (X-SAPR) Instrument Handbook ...

  19. C-Band Scanning ARM Precipitation Radar (C-SAPR) Handbook (Technical...

    Office of Scientific and Technical Information (OSTI)

    C-Band Scanning ARM Precipitation Radar (C-SAPR) Handbook Citation Details In-Document Search Title: C-Band Scanning ARM Precipitation Radar (C-SAPR) Handbook The C-band scanning ...

  20. ARM - Publications: Science Team Meeting Documents

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

    H.-L.(b), University of Utah (a), EMCNCEPNOAA (b) Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting Using cloud radar observations of cirrus cloud...

  1. ARM - Campaign Instrument - acr-jpl

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

    or call us at 1-888-ARM-DATA. Send Campaign Instrument : Airborne Cloud Radar - JPL (ACR-JPL) Instrument Categories Cloud Properties Campaigns Tropical Warm Pool -...

  2. ARM - Measurement - Atmospheric turbulence

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

    : Carbon Dioxide Flux Measurement Systems ECOR : Eddy Correlation Flux Measurement System KASACR : Ka-Band Scanning ARM Cloud Radar SODAR : Mini Sound Detection and Ranging RWP...

  3. ARM - Datastreams - xsacrhsrhi

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

    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...

  4. ARM - Facility News Article

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

    February 29, 2008 [Facility News] 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. 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

  5. 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 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...

  6. ARM - Field Campaign - Remote Cloud Sensing (RCS) Field Evaluation

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

    govCampaignsRemote Cloud Sensing (RCS) Field Evaluation 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....

  7. ARM - PI Product - AERIoe Thermodynamic Profile and Cloud Retrieval...

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

    you Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : AERIoe Thermodynamic Profile and Cloud Retrieval for MC3E Lamont X-band site (I6) ARM research The...

  8. ARM - PI Product - AERIoe Thermodynamic Profile and Cloud Retrieval...

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

    you Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : AERIoe Thermodynamic Profile and Cloud Retrieval for SGP CF during LABLE-2012 ARM research The...

  9. ARM - PI Product - AERIoe Thermodynamic Profile and Cloud Retrieval...

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

    you Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : AERIoe Thermodynamic Profile and Cloud Retrieval for SGP CF during LABLE-2013 ARM research The...

  10. ARM - Field Campaign - Whole Sky Imager Cloud Fraction Data

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

    govCampaignsWhole Sky Imager Cloud Fraction Data 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...

  11. ARM - Field Campaign - MASRAD: Cloud Condensate Nuclei Chemistry...

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

    Cloud Condensate Nuclei Chemistry Measurements Campaign Links AMF Point Reyes Website ARM Data Discovery Browse Data Related Campaigns MArine Stratus Radiation Aerosol and Drizzle...

  12. ARM - Field Campaign - MASRAD: Pt. Reyes Stratus Cloud and Drizzle...

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

    govCampaignsMASRAD: Pt. Reyes Stratus Cloud and Drizzle Study Campaign Links AMF Point Reyes Website ARM Data Discovery Browse Data Related Campaigns MArine Stratus Radiation...

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

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

    The Storm Peak Lab Cloud Property Validation Experiment (STORMVEX) Campaign Links STORMVEX Website ARM Data Discovery Browse Data Related Campaigns Colorado: CFHCMH Deployment to...

  14. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E...

    Office of Scientific and Technical Information (OSTI)

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

  15. ARM - PI Product - Cloud Properties and Radiative Heating Rates...

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

    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 A cloud properties and...

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

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

    Climate Campaign Links BAECC Website ARM Data Discovery Browse Data Related Campaigns Biogenic Aerosols - Effects on Clouds and Climate: Cloud OD Sensor TWST 2014.06.15, Scott, AMF...

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

    SciTech Connect (OSTI)

    Kollias, P.; Luke, E.; Rmillard, J.; Szyrmer, W.

    2011-07-02

    Several aspects of spectral broadening and drizzle growth in shallow liquid clouds remain not well understood. Detailed, cloud-scale observations of microphysics and dynamics are essential to guide and evaluate corresponding modeling efforts. Profiling, millimeter-wavelength (cloud) radars can provide such observations. In particular, the first three moments of the recorded cloud radar Doppler spectra, the radar reflectivity, mean Doppler velocity, and spectrum width, are often used to retrieve cloud microphysical and dynamical properties. Such retrievals are subject to errors introduced by the assumptions made in the inversion process. Here, we introduce two additional morphological parameters of the radar Doppler spectrum, the skewness and kurtosis, in an effort to reduce the retrieval uncertainties. A forward model that emulates observed radar Doppler spectra is constructed and used to investigate these relationships. General, analytical relationships that relate the five radar observables to cloud and drizzle microphysical parameters and cloud turbulence are presented. The relationships are valid for cloud-only, cloud mixed with drizzle, and drizzle-only particles in the radar sampling volume and provide a seamless link between observations and cloud microphysics and dynamics. The sensitivity of the five observed parameters to the radar operational parameters such as signal-to-noise ratio and Doppler spectra velocity resolution are presented. The predicted values of the five observed radar parameters agree well with the output of the forward model. The novel use of the skewness of the radar Doppler spectrum as an early qualitative predictor of drizzle onset in clouds is introduced. It is found that skewness is a parameter very sensitive to early drizzle generation. In addition, the significance of the five parameters of the cloud radar Doppler spectrum for constraining drizzle microphysical retrievals is discussed.

  18. Toward Understanding of Differences in Current Cloud Retrievals of ARM

    Office of Scientific and Technical Information (OSTI)

    Ground-based Measurements (Journal Article) | SciTech Connect Toward Understanding of Differences in Current Cloud Retrievals of ARM Ground-based Measurements Citation Details In-Document Search Title: Toward Understanding of Differences in Current Cloud Retrievals of ARM Ground-based Measurements 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

  19. ARM - Facility News Article

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

    10, 2016 [Facility News] Opportunity for Cloud Properties Retrieval Algorithm Development: Request for Interest Opened Bookmark and Share The ARM Facility is seeking a scientific consultant to develop an operational cloud property algorithm, using data from ARM facilities and instruments like these scanning cloud radars. The ARM Facility is seeking a scientific consultant to develop an operational cloud property algorithm, using data from ARM facilities and instruments like these scanning cloud

  20. ARM - Field Campaign - Cloud LAnd Surface Interaction Campaign...

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

    Campaign Links CLASIC Website ARM Data Discovery Browse Data Related Campaigns CLASIC - SAM Support 2007.06.09, DeVore, SGP CLASIC - 9.4 GHz Phase Array Radar 2007.06.08, Kollias,...

  1. ARM - Publications: Science Team Meeting Documents

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

    For the surface data, the cloud-base height is derived laser ceilometer and cloud top height is derived cloud radar, and cloud temperatures are measured from ARM radiosonde ...

  2. Clouds, aerosol, and precipitation in the Marine Boundary Layer: An ARM mobile facility deployment

    SciTech Connect (OSTI)

    Wood, Robert; Luke, Ed; Wyant, Matthew; Bretherton, Christopher S.; Remillard, Jasmine; Kollias, Pavlos; Fletcher, Jennifer; Stemmler, Jayson; deSzoeke, S.; Yuter, Sandra; Miller, Matthew; Mechem, David; Tselioudis, George; Chiu, Christine; Mann, Julia; O Connor, Ewan; Hogan, Robin; Dong, Xiquan; Miller, Mark; Ghate, Virendra; Jefferson, Anne; Min, Qilong; Minnis, Patrick; Palinkonda, Rabindra; Albrecht, Bruce; Hannay, Cecile; Lin, Yanluan

    2014-04-27

    The Clouds, Aerosol, and Precipitation in the Marine Boundary Layer (CAP-MBL) deployment at Graciosa Island in the Azores generated a 21-month (April 2009-December 2010) comprehensive dataset documenting clouds, aerosols, and precipitation using the Atmospheric Radiation Measurement Program (ARM) Mobile Facility (AMF). The scientific aim of the deployment is to gain improved understanding of the interactions of clouds, aerosols, and precipitation in the marine boundary layer. Graciosa Island straddles the boundary between the subtropics and midlatitudes in the Northeast Atlantic Ocean and consequently experiences a great diversity of meteorological and cloudiness conditions. Low clouds are the dominant cloud type, with stratocumulus and cumulus occurring regularly. Approximately half of all clouds contained precipitation detectable as radar echoes below the cloud base. Radar and satellite observations show that clouds with tops from 1-11 km contribute more or less equally to surface-measured precipitation at Graciosa. A wide range of aerosol conditions was sampled during the deployment consistent with the diversity of sources as indicated by back-trajectory analysis. Preliminary findings suggest important two-way interactions between aerosols and clouds at Graciosa, with aerosols affecting light precipitation and cloud radiative properties while being controlled in part by precipitation scavenging.The data from Graciosa are being compared with short-range forecasts made with a variety of models. A pilot analysis with two climate and two weather forecast models shows that they reproduce the observed time-varying vertical structure of lower-tropospheric cloud fairly well but the cloud-nucleating aerosol concentrations less well. The Graciosa site has been chosen to be a permanent fixed ARM site that became operational in October 2013.

  3. Clouds, aerosol, and precipitation in the Marine Boundary Layer: An ARM mobile facility deployment

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Wood, Robert; Luke, Ed; Wyant, Matthew; Bretherton, Christopher S.; Remillard, Jasmine; Kollias, Pavlos; Fletcher, Jennifer; Stemmler, Jayson; deSzoeke, S.; Yuter, Sandra; et al

    2014-04-27

    The Clouds, Aerosol, and Precipitation in the Marine Boundary Layer (CAP-MBL) deployment at Graciosa Island in the Azores generated a 21-month (April 2009-December 2010) comprehensive dataset documenting clouds, aerosols, and precipitation using the Atmospheric Radiation Measurement Program (ARM) Mobile Facility (AMF). The scientific aim of the deployment is to gain improved understanding of the interactions of clouds, aerosols, and precipitation in the marine boundary layer. Graciosa Island straddles the boundary between the subtropics and midlatitudes in the Northeast Atlantic Ocean and consequently experiences a great diversity of meteorological and cloudiness conditions. Low clouds are the dominant cloud type, with stratocumulusmore » and cumulus occurring regularly. Approximately half of all clouds contained precipitation detectable as radar echoes below the cloud base. Radar and satellite observations show that clouds with tops from 1-11 km contribute more or less equally to surface-measured precipitation at Graciosa. A wide range of aerosol conditions was sampled during the deployment consistent with the diversity of sources as indicated by back-trajectory analysis. Preliminary findings suggest important two-way interactions between aerosols and clouds at Graciosa, with aerosols affecting light precipitation and cloud radiative properties while being controlled in part by precipitation scavenging.The data from Graciosa are being compared with short-range forecasts made with a variety of models. A pilot analysis with two climate and two weather forecast models shows that they reproduce the observed time-varying vertical structure of lower-tropospheric cloud fairly well but the cloud-nucleating aerosol concentrations less well. The Graciosa site has been chosen to be a permanent fixed ARM site that became operational in October 2013.« less

  4. ARM - Events Article

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

    September 15, 2013 [Events, Facility News] 2013 Radar Meteorology Conference Bookmark and Share ARM radars operated at Cape Cod National Seashore from June 2012 through July 2013. ARM radars operated at Cape Cod National Seashore from June 2012 through July 2013. This week, radar engineers and science colleagues are gathering in Breckenridge, Colorado, for the American Meteorological Society's 36th Conference on Radar Meteorology, September 16-20. From new insights on Arctic cloud processes to

  5. 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)

    2007 Multi-scale Observing Facility (MOF) - Whitepaper 2009 Steps forward: ARM-CASA Partnership ARM-GPM proposed field campaign Wind Profiler IOP Radar simulator...

  6. ARM - Facility News Article

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

    31, 2009 [Facility News] New Cloud Radar to Join Mobile Facility on Graciosa Island Bookmark and Share These schematics illustrate the rotational capabilities of the new scanning radar. Much like an operational weather radar, the design allows the antenna to scan any portion of the sky; quite a departure from the one-directional beam of traditional ARM cloud radars. (illustration courtesy of ProSensing, Inc.) These schematics illustrate the rotational capabilities of the new scanning radar. Much

  7. ARM - PI Product - Tropical Cloud Properties and Radiative Heating...

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

    love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Tropical Cloud Properties and Radiative Heating Profiles We have generated a suite...

  8. ARM - PI Product - Cloud-Scale Vertical Velocity and Turbulent...

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

    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 Time-height...

  9. ARM - Evaluation Product - MWR Retrievals of Cloud Liquid Water...

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

    ProductsMWR Retrievals of Cloud Liquid Water and Water Vapor ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file...

  10. ARM - Field Campaign - Deep Convective Clouds and Chemistry

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

    govCampaignsDeep Convective Clouds and Chemistry Campaign Links DC3 Experiment Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send...

  11. ARM - Field Campaign - Mixed-Phase Arctic Cloud Experiment

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

    govCampaignsMixed-Phase Arctic Cloud Experiment Campaign Links Science Document M-PACE Website Final Summary Report ARM Data Discovery Browse Data Comments? We would love to hear...

  12. ARM - Field Campaign - Tropical Warm Pool - International Cloud...

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

    govCampaignsTropical Warm Pool - International Cloud Experiment (TWP-ICE) Campaign Links TWP-ICE Website ARM Data Discovery Browse Data Comments? We would love to hear from you...

  13. LASIC Layered Atlantic Smoke Interaction with Clouds ARM Mobile Facility

    Office of Scientific and Technical Information (OSTI)

    (AMF) Overview (Conference) | SciTech Connect LASIC Layered Atlantic Smoke Interaction with Clouds ARM Mobile Facility (AMF) Overview Citation Details In-Document Search Title: LASIC Layered Atlantic Smoke Interaction with Clouds ARM Mobile Facility (AMF) Overview Authors: Nitschke, Kim Leonard [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2015-01-16 OSTI Identifier: 1167489 Report Number(s): LA-UR-15-20285 DOE Contract Number: AC52-06NA25396 Resource Type:

  14. ARM Cloud Aerosol Precipitation Experiment (ACAPEX) Science Plan (Program

    Office of Scientific and Technical Information (OSTI)

    Document) | SciTech Connect ARM Cloud Aerosol Precipitation Experiment (ACAPEX) Science Plan Citation Details In-Document Search Title: ARM Cloud Aerosol Precipitation Experiment (ACAPEX) Science Plan The western U.S. receives precipitation predominantly during the cold season when storms approach from the Pacific Ocean. The snowpack that accumulates during winter storms provides about 70-90% of water supply for the region. Understanding and modeling the fundamental processes that govern the

  15. Separating Cloud and Drizzle Radar Moments during Precipitation Onset using

    Office of Scientific and Technical Information (OSTI)

    Doppler Spectra (Journal Article) | SciTech Connect Separating Cloud and Drizzle Radar Moments during Precipitation Onset using Doppler Spectra Citation Details In-Document Search Title: Separating Cloud and Drizzle Radar Moments during Precipitation Onset using Doppler Spectra Authors: Luke E. P. ; Kollias, P. Publication Date: 2013-08-01 OSTI Identifier: 1093813 Report Number(s): BNL--101647-2013-JA Journal ID: ISSN 0739--0572; R&D Project: 2015-BNL-EE630EECA-Budg; KP1701000 DOE

  16. DOE/SC-ARM-12-006 ARM Climate Research Facility Radar Operations Plan

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

    6 ARM Climate Research Facility Radar Operations Plan May 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.

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

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

    9 ARM Radar Organization JW Voyles June 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

  18. DOE/SC-ARM-12-010 Science Goals for the ARM Recovery Act Radars

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

    0 Science Goals for the ARM Recovery Act Radars JH Mather May 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

  19. 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 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

  20. ARM Cloud Retrieval Ensemble Data Set (ACRED) (Technical Report) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Technical Report: ARM Cloud Retrieval Ensemble Data Set (ACRED) Citation Details In-Document Search Title: ARM Cloud Retrieval Ensemble Data Set (ACRED) This document describes a new Atmospheric Radiation Measurement (ARM) data set, the ARM Cloud Retrieval Ensemble Data Set (ACRED), which is created by assembling nine existing ground-based cloud retrievals of ARM measurements from different cloud retrieval algorithms. The current version of ACRED includes an hourly average of nine

  1. ARM - Publications: Science Team Meeting Documents: W-Band ARM...

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

    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...

  2. ARM - Field Campaign - Fall 1997 Cloud IOP

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

    Pacific. Guest ground-based instrumentation included the University of Utah 95 GHz Doppler radar system polarization diversity lidar and time lapse video, Penn State...

  3. 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 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

  4. ARM - Publications: Science Team Meeting Documents: Cirrus Cloud

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

    Measurements by the UAF Polarization Diversity Lidar during M-PACE Cirrus Cloud Measurements by the UAF Polarization Diversity Lidar during M-PACE Sassen, Kenneth University of Alaska Fairbanks Zhu, Jiang UAF During the final week of the September-October 2004 Mixed-Phase Cloud Experiment (M-PACE) conducted in and around the North Slope of Alaska (NSA) Atmospheric Radiation Measurement (ARM) site in Barrow, Alaska, cirrus clouds were unexpectedly prevalent. Overcoming earlier adversity, the

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

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

    (MICRE) govCampaignsMacquarie Island Cloud and Radiation Experiment (MICRE) Campaign Links Science Plan Backgrounder Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Macquarie Island 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 reanalysis products and global climate model simulations. Errors in

  6. ARM - Midlatitude Continental Convective Clouds - Single Column Model

    Office of Scientific and Technical Information (OSTI)

    Forcing (xie-scm_forcing) (Dataset) | Data Explorer - Midlatitude Continental Convective Clouds - Single Column Model Forcing (xie-scm_forcing) Title: ARM - Midlatitude Continental Convective Clouds - Single Column Model Forcing (xie-scm_forcing) The constrained variational objective analysis approach described in Zhang and Lin [1997] and Zhang et al. [2001]was used to derive the large-scale single-column/cloud resolving model forcing and evaluation data set from the observational data

  7. ARM - Publications: Science Team Meeting Documents: Clouds over the ARM SGP

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

    Network area - 3D prospective Clouds over the ARM SGP Network area - 3D prospective Genkova, Iliana University of Illinois-Champaign Long, Chuck Pacific Northwest National Laboratory Minnis, Patrick NASA Langley Research Center Heck, Patrick University of Wisconsin Khaiyer, Mandana Analytical Services and Material, Inc. The poster will present the final product of a 3-dimentional characterization of the clouds over the ARM SGP network area. We have aquired various ground-based and satellite

  8. Cloud properties derived from two lidars over the ARM SGP site

    SciTech Connect (OSTI)

    Dupont, Jean-Charles; Haeffelin, Martial; Morille, Y.; Comstock, Jennifer M.; Flynn, Connor J.; Long, Charles N.; Sivaraman, Chitra; Newsom, Rob K.

    2011-02-16

    [1] Active remote sensors such as lidars or radars can be used with other data to quantify the cloud properties at regional scale and at global scale (Dupont et al., 2009). Relative to radar, lidar remote sensing is sensitive to very thin and high clouds but has a significant limitation due to signal attenuation in the ability to precisely quantify the properties of clouds with a 20 cloud optical thickness larger than 3. In this study, 10-years of backscatter lidar signal data are analysed by a unique algorithm called STRucture of ATmosphere (STRAT, Morille et al., 2007). We apply the STRAT algorithm to data from both the collocated Micropulse lidar (MPL) and a Raman lidar (RL) at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site between 1998 and 2009. Raw backscatter lidar signal is processed and 25 corrections for detector deadtime, afterpulse, and overlap are applied. (Campbell et al.) The cloud properties for all levels of clouds are derived and distributions of cloud base height (CBH), top height (CTH), physical cloud thickness (CT), and optical thickness (COT) from local statistics are compared. The goal of this study is (1) to establish a climatology of macrophysical and optical properties for all levels of clouds observed over the ARM SGP site 30 and (2) to estimate the discrepancies induced by the two remote sensing systems (pulse energy, sampling, resolution, etc.). Our first results tend to show that the MPLs, which are the primary ARM lidars, have a distinctly limited range where all of these cloud properties are detectable, especially cloud top and cloud thickness, but even actual cloud base especially during summer daytime period. According to the comparisons between RL and MPL, almost 50% of situations show a signal to noise ratio too low (smaller than 3) for the MPL in order to detect clouds higher than 7km during daytime period in summer. Consequently, the MPLderived annual cycle of cirrus cloud base (top) altitude is biased low, especially for daylight periods, compared with those derived from the RL data, which detects 5 cloud base ranging from 7.5 km in winter to 9.5 km in summer (and tops ranging from 8.6 to 10.5 km). The optically thickest cirrus clouds (COT>0.3) reach 50% of the total population for the Raman lidar and only 20% for the Micropulse lidar due to the difference of pulse energy and the effect of solar irradiance contamination. A complementary study using the cloud fraction 10 derived from the Micropulse lidar for clouds below 5 km and from the Raman lidar for cloud above 5 km allows for better estimation of the total cloud fraction between the ground and the top of the atmosphere. This study presents the diurnal cycle of cloud fraction for each season in comparisons with the Long et al. (2006) cloud fraction calculation derived from radiative flux analysis.

  9. 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 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. 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

  10. ARM: 1290-MHz Beam-Steered Radar Wind Profiler: Precipitation Datastream

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer ARM: 1290-MHz Beam-Steered Radar Wind Profiler: Precipitation Datastream Title: ARM: 1290-MHz Beam-Steered Radar Wind Profiler: Precipitation Datastream 1290-MHz Beam-Steered Radar Wind Profiler: Precipitation Datastream Authors: Timothy Martin ; Paytsar Muradyan ; Richard Coulter Publication Date: 2012-12-12 OSTI Identifier: 1095572 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement

  11. ARM: 1290-MHz Beam-Steered Radar Wind Profiler: Wind and Moment Averages

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer 1290-MHz Beam-Steered Radar Wind Profiler: Wind and Moment Averages Title: ARM: 1290-MHz Beam-Steered Radar Wind Profiler: Wind and Moment Averages 1290-MHz Beam-Steered Radar Wind Profiler: Wind and Moment Averages Authors: Timothy Martin ; Paytsar Muradyan ; Richard Coulter Publication Date: 2012-12-06 OSTI Identifier: 1095573 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM)

  12. ARM - Publications: Science Team Meeting Documents

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

    Measurement (ARM) Science Team Meeting We are developing an algorithm that uses the radar reflectivity, Doppler velocity and Doppler spectral width observed in cirrus cloud...

  13. ARM - Facility News Article

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

    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,

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

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

    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

  15. ARM - Evaluation Product - Cloud Classification VAP

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

    properties includes cloud boundaries, thickness, phase, type, and precipitation information, and hence provides a useful tool for evaluation of model simulations and...

  16. Evaluation of high-level clouds in cloud resolving model simulations with

    Office of Scientific and Technical Information (OSTI)

    ARM and KWAJEX observations (Journal Article) | SciTech Connect Evaluation of high-level clouds in cloud resolving model simulations with ARM and KWAJEX observations Citation Details In-Document Search Title: Evaluation of high-level clouds in cloud resolving model simulations with ARM and KWAJEX observations In this paper, we evaluate high-level clouds in a cloud resolving model during two convective cases, ARM9707 and KWAJEX. The simulated joint histograms of cloud occurrence and radar

  17. ARM - VAP Process - wacrarscl

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

    Productswacrarscl 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 : W-band Cloud Radar Active Remote Sensing of Cloud (WACRARSCL) Instrument Categories Cloud Properties Observations from the 95 GHz W-band ARM Cloud Radar (WACR), Micropulse Lidar, and ceilometer have been combined using the new WACR Active Remote Sensing of Clouds (WACR-ARSCL)

  18. ARM - Field Campaign - FIRE-Arctic Cloud Experiment/SHEBA

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

    govCampaignsFIRE-Arctic Cloud Experiment/SHEBA 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 Campaign : FIRE-Arctic Cloud Experiment/SHEBA 1998.05.19 - 1998.06.24 Lead Scientist : Peter Hobbs Data Availability Data from the UW Convair-580 measurements in FIRE-ACE/SHEBA have been archived at the Langley DAAC. For data sets, see below. Abstract Based in Barrow, Alaska, from May 15 through June 24, 1998, the Univ. of

  19. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E):

    Office of Scientific and Technical Information (OSTI)

    Multi-Frequency Profilers, 449 MHz Profiler(williams-449_prof) (Dataset) | Data Explorer Data Explorer Search Results ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, 449 MHz Profiler(williams-449_prof) Title: ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, 449 MHz Profiler(williams-449_prof) This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE)

  20. 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 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. 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

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

    SciTech Connect (OSTI)

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

    2014-10-01

    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.

  2. ARM - Facility News Article

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

    May 15, 2008 [Facility News] Cloud Radars on the Screen at Southern Great Plains Site Bookmark and Share With the flip of a switch, a mysterious cirrus dilemma turned from serious to solved recently, as the millimeter wavelength cloud radar (MMCR) passed inspection at the ARM Southern Great Plains (SGP) site in February. In addition, concerns about data from the ARM Mobile Facility (AMF)'s W-band ARM Cloud Radar (WACR) were alleviated through an intercomparison with the SGP WACR in March. Both

  3. ARM - VAP Process - kazrcor

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

    Productskazrcor 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 : KAZR Corrected Data (KAZRCOR) Instrument Categories Cloud Properties Output Products kazrcorge : Ka ARM Zenith Radar (KAZR): general mode Corrected kazrcorhi : Ka ARM Zenith Radar (KAZR): highest sensitivity mode Corrected Primary Measurements The following measurements are

  4. ARM - Data Announcements Article

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

    June 30, 2008 [Data Announcements] Black Forest, Germany, WACR-ARSCL Evaluation Products Now Available Bookmark and Share FKB WACR-ARSCL Reflectivity Best Estimate data plot example. Observations from the 95 GHz W-band ARM Cloud Radar (WACR), Micropulse Lidar, and ceilometer have been combined using the new WACR-Active Remote Sensing of Clouds (WACR-ARSCL) value-added process (VAP) (Kollias and Miller, 2007) to produce cloud boundaries and time-height profiles of cloud location, radar moments,

  5. arm_stm_2007_revercomb_poster_cloud.ppt

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

    Assessment Part 2: Cirrus Radiative Flux Study Using Radar/Lidar/AERI Derived Cloud Properties David Tobin, Lori Borg, David Turner, Robert Holz, Daniel DeSlover, Hank Revercomb, Bob Knuteson, Leslie Moy, Ed Eloranta, Jun Li Space Science and Engineering Center, University of Wisconsin-Madison Introduction: Previous related work by our group has focused on closure of the clear sky flux problem and providing assessment of and improvements for BBHRP in that regard (see Part 1). Here, our analyses

  6. A study of cloud and drizzle properties in the Azores using Doppler Radar

    Office of Scientific and Technical Information (OSTI)

    spectra (Conference) | SciTech Connect study of cloud and drizzle properties in the Azores using Doppler Radar spectra Citation Details In-Document Search Title: A study of cloud and drizzle properties in the Azores using Doppler Radar spectra Understanding the onset of coalescence in warm clouds is key in our effort to improve cloud representation in numerical models. Coalescence acts at small scales, and its study requires detailed high-resolution dynamical and microphysical measurements

  7. ARM - Field Campaign - Holistic Interactions of Shallow Clouds, Aerosols,

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

    and Land-Ecosystems (HI-SCALE): Nano-Particle Number Concentrations Nano-Particle Number Concentrations Related Campaigns Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE) 2016.04.24, Fast, AAF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE): Nano-Particle Number Concentrations 2016.08.28 - 2016.09.26 Lead Scientist :

  8. ARM - Field Campaign - Holistic Interactions of Shallow Clouds, Aerosols,

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

    and Land-Ecosystems (HI-SCALE): Nanoparticle Composition and Precursors Nanoparticle Composition and Precursors Related Campaigns Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE) 2016.04.24, Fast, AAF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE): Nanoparticle Composition and Precursors 2016.08.21 - 2016.09.27 Lead

  9. ARM TR-008

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    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

  10. ARM - Datastreams - wsacrspeccmaskcopol

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

    Datastreamswsacrspeccmaskcopol Documentation Data Quality Plots Citation DOI: 10.5439/1150288 [ 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 : WSACRSPECCMASKCOPOL W-Band Scanning ARM Cloud Radar, filtered spectral data, co-polarized mode

  11. ARM - Datastreams - wsacrspeccmaskxpol

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

    Datastreamswsacrspeccmaskxpol Documentation Data Quality Plots Citation DOI: 10.5439/1150289 [ 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 : WSACRSPECCMASKXPOL W-Band Scanning ARM Cloud Radar, filtered spectral data, cross-polarized mode

  12. ARM - Datastreams - xsacrspeccmaskcopol

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

    Datastreamsxsacrspeccmaskcopol Documentation Data Quality Plots Citation DOI: 10.5439/1150301 [ 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 : XSACRSPECCMASKCOPOL X-Band Scanning ARM Cloud Radar, filtered spectral data, co-polarized mode

  13. ARM - Datastreams - xsacrspeccmaskxpol

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

    Datastreamsxsacrspeccmaskxpol Documentation Data Quality Plots Citation DOI: 10.5439/1150302 [ 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 : XSACRSPECCMASKXPOL X-Band Scanning ARM Cloud Radar, filtered spectral data, cross-polarized mode

  14. ARM - Events Article

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

    31, 2011 [Events] 2011 Radar Meteorology Conference Bookmark and Share The 35th Conference on Radar Meteorology, sponsored by the American Meteorological Society (AMS), will be held September 26-30, 2011, at the Omni William Penn Hotel in Pittsburgh, Pennsylvania. Of particular interest to the Atmospheric Radiation Measurement (ARM) community is the Short Course on Millimeter Wavelength Radars. Sponsored by ARM, this course is designed to provide students and scientists interested in cloud and

  15. ARM - Facility News Article

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    Field Campaign to Benefit from Multimillion Dollar Radar Technology Bookmark and Share A staff scientist from CIRPAS reviews the unique capabilities provided by the phased-array radar, mounted on the truck behind the group. In March, ARM scientists visited the Center for Interdisciplinary Remotely Piloted Aircraft Studies (CIRPAS) for a first-hand look at the state-of-the-art scanning radar that will be deployed as part of the Cloud Land Surface Interaction Campaign (CLASIC) at the ARM Southern

  16. ARM Value-Added Cloud Products: Description and Status

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    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

  17. 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)

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

    2005-12-30

    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.

  18. Evaluating cloud retrieval algorithms with the ARM BBHRP framework

    SciTech Connect (OSTI)

    Mlawer,E.; Dunn,M.; Mlawer, E.; Shippert, T.; Troyan, D.; Johnson, K. L.; Miller, M. A.; Delamere, J.; Turner, D. D.; Jensen, M. P.; Flynn, C.; Shupe, M.; Comstock, J.; Long, C. N.; Clough, S. T.; Sivaraman, C.; Khaiyer, M.; Xie, S.; Rutan, D.; Minnis, P.

    2008-03-10

    Climate and weather prediction models require accurate calculations of vertical profiles of radiative heating. Although heating rate calculations cannot be directly validated due to the lack of corresponding observations, surface and top-of-atmosphere measurements can indirectly establish the quality of computed heating rates through validation of the calculated irradiances at the atmospheric boundaries. The ARM Broadband Heating Rate Profile (BBHRP) project, a collaboration of all the working groups in the program, was designed with these heating rate validations as a key objective. Given the large dependence of radiative heating rates on cloud properties, a critical component of BBHRP radiative closure analyses has been the evaluation of cloud microphysical retrieval algorithms. This evaluation is an important step in establishing the necessary confidence in the continuous profiles of computed radiative heating rates produced by BBHRP at the ARM Climate Research Facility (ACRF) sites that are needed for modeling studies. This poster details the continued effort to evaluate cloud property retrieval algorithms within the BBHRP framework, a key focus of the project this year. A requirement for the computation of accurate heating rate profiles is a robust cloud microphysical product that captures the occurrence, height, and phase of clouds above each ACRF site. Various approaches to retrieve the microphysical properties of liquid, ice, and mixed-phase clouds have been processed in BBHRP for the ACRF Southern Great Plains (SGP) and the North Slope of Alaska (NSA) sites. These retrieval methods span a range of assumptions concerning the parameterization of cloud location, particle density, size, shape, and involve different measurement sources. We will present the radiative closure results from several different retrieval approaches for the SGP site, including those from Microbase, the current 'reference' retrieval approach in BBHRP. At the NSA, mixed-phase clouds and cloud with a low optical depth are prevalent; the radiative closure studies using Microbase demonstrated significant residuals. As an alternative to Microbase at NSA, the Shupe-Turner cloud property retrieval algorithm, aimed at improving the partitioning of cloud phase and incorporating more constrained, conditional microphysics retrievals, also has been evaluated using the BBHRP data set.

  19. 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 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

  20. 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 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 [/instruments/instrument.php?id=mmcr][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 measure

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

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

    properties 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

  2. ARM - Field Campaign - 2001 Multi-Frequency Radar IOP

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

    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....

  3. FACT SHEET U.S. Department of Energy ARM Mobile Facility

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

    Alaska (2013-2018) * 95-GHz W-Band ARM Cloud Radar * Balloon-Borne Sounding System * Doppler Lidar, Micropulse Lidar, and Laser Ceilometer * Microwave Radiometer * Microwave...

  4. GFDL ARM Project Technical Report: Using ARM Observations to Evaluate Cloud and Convection Parameterizations & Cloud-Convection-Radiation Interactions in the GFDL Atmospheric General Circulation Model

    SciTech Connect (OSTI)

    V. Ramaswamy; L. J. Donner; J-C. Golaz; S. A. Klein

    2010-06-17

    This report briefly summarizes the progress made by ARM postdoctoral fellow, Yanluan Lin, at GFDL during the period from October 2008 to present. Several ARM datasets have been used for GFDL model evaluation, understanding, and improvement. This includes a new ice fall speed parameterization with riming impact and its test in GFDL AM3, evaluation of model cloud and radiation diurnal and seasonal variation using ARM CMBE data, model ice water content evaluation using ARM cirrus data, and coordination of the TWPICE global model intercomparison. The work illustrates the potential and importance of ARM data for GCM evaluation, understanding, and ultimately, improvement of GCM cloud and radiation parameterizations. Future work includes evaluation and improvement of the new dynamicsPDF cloud scheme and aerosol activation in the GFDL model.

  5. Using Radar, Lidar, and Radiometer measurements to Classify Cloud Type and Study Middle-Level Cloud Properties

    SciTech Connect (OSTI)

    Wang, Zhien

    2010-06-29

    The project is mainly focused on the characterization of cloud macrophysical and microphysical properties, especially for mixed-phased clouds and middle level ice clouds by combining radar, lidar, and radiometer measurements available from the ACRF sites. First, an advanced mixed-phase cloud retrieval algorithm will be developed to cover all mixed-phase clouds observed at the ACRF NSA site. The algorithm will be applied to the ACRF NSA observations to generate a long-term arctic mixed-phase cloud product for model validations and arctic mixed-phase cloud processes studies. To improve the representation of arctic mixed-phase clouds in GCMs, an advanced understanding of mixed-phase cloud processes is needed. By combining retrieved mixed-phase cloud microphysical properties with in situ data and large-scale meteorological data, the project aim to better understand the generations of ice crystals in supercooled water clouds, the maintenance mechanisms of the arctic mixed-phase clouds, and their connections with large-scale dynamics. The project will try to develop a new retrieval algorithm to study more complex mixed-phase clouds observed at the ACRF SGP site. Compared with optically thin ice clouds, optically thick middle level ice clouds are less studied because of limited available tools. The project will develop a new two wavelength radar technique for optically thick ice cloud study at SGP site by combining the MMCR with the W-band radar measurements. With this new algorithm, the SGP site will have a better capability to study all ice clouds. Another area of the proposal is to generate long-term cloud type classification product for the multiple ACRF sites. The cloud type classification product will not only facilitates the generation of the integrated cloud product by applying different retrieval algorithms to different types of clouds operationally, but will also support other research to better understand cloud properties and to validate model simulations. The ultimate goal is to improve our cloud classification algorithm into a VAP.

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

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

    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,

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

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

    20 MAGIC: Marine ARM GPCI Investigation of Clouds Principal Investigators ER Lewis WJ Wiscombe Co-Investigators BA Albrecht GL Bland CN Flagg SA Klein P Kollias G Mace RM Reynolds SE Schwartz AP Siebesma J Teixeira R Wood M Zhang 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

  8. DOE/SC-ARM-14-030 ARM Cloud Aerosol Precipitation Experiment

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

    0 ARM Cloud Aerosol Precipitation Experiment (ACAPEX) Science Plan LR Leung, Principal Investigator K Prather S Hagos M Ralph M Hughes D Rosenfeld C Long R Spackman S Rutledge P DeMott D Waliser C Fairall H Wang J Fan September 2014 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

  9. ARM KAZR-ARSCL Value Added Product

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

    Jensen, Michael

    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.

  10. ARM KAZR-ARSCL Value Added Product

    SciTech Connect (OSTI)

    Jensen, Michael

    2012-09-28

    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.

  11. ARM - Data Announcements Article

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

    March 6, 2008 [Data Announcements] New ARM PI Product-Merged MMCR and WSR-88D Data Sets Bookmark and Share A new ARM Principal Investigator (PI) product-Merged MMCR and WSR-88D Data sets (PI:X. Dong)-is now available at the ARM Climate Research Facility Data Archive. This data set merges Millimeter Wavelength Cloud Radar (MMCR) reflectivity data with National Weather Service precipitation radar (WSR-88D) observations to provide improved radar reflectivity profiles in situations where the MMCR

  12. Marine ARM GPCI Investigation of Clouds (MAGIC) Science Objectives and Significance

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

    ARM GPCI Investigation of Clouds (MAGIC) Science Objectives and Significance Every cloud in the sky begins as a tiny droplet, which forms around an even smaller particle called an aerosol particle. Some clouds produce precipitation, and some don't. The relationship between clouds, precipitation, and aerosols is very complex and very important. Scientists use data about clouds, precipitation, and aerosols to develop computer codes, or models, that simulate what's happening in the atmosphere and

  13. Cloud and aerosol characterization for the ARM central facility: Multiple remote sensor techniques development

    SciTech Connect (OSTI)

    Sassen, K.

    1992-04-30

    This research project designed to investigate how atmospheric remote sensing technology can best be applied to the characterization of the cloudy atmosphere. Our research program addresses basic atmospheric remote sensing questions, but at the same time is clearly directed toward providing information crucial to the ARM (Atmospheric Remote Sensing) program and for application to the Clouds and Radiation Testbed (CART). The instrumentation that is being brought into play includes a variety of art-of-the-art sensors. Available at NOAA WPL are polarization Doppler K{sub a}-band (0.86 mm) and X-band (3.2 cm) radars, a C0{sub 2}(10.6 {mu}m) Doppler lidar with sequential ' polarization measurement capabilities, a three-channel (20.6, 31.65 and 90 GHz) microwave radiometer, and variety of visible and infrared radiometers. Instrumentation at the University of Utah Facility for Atmospheric Remote Sensing (FARS) includes a polarization ruby (0.643 {mu}m) lidar, a narrow-beam (0.14{degree}) mid-infrared (9.5--11.5 {mu}m) radiometer coaligned with the lidar, several other radiometers in the visible and infrared spectral regions, and an advanced two-color (1.06 and 0.532 {mu}m), four-channel Polarization Diversity Lidar (PDL) and all-sky video imaging system that have only recently been developed under the ARM IDP.

  14. ARM: Millimeter Wavelength Cloud Radar (MMCR): moments data ...

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 ...

  15. ARM - Field Campaign - DC-8 Cloud Radar Campaign

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

    Contact Lihua Li (lihua@mirsl.ecs.umass.edu) or Steve Sekelsky (sekelsky@mirsl.ecs.umass.edu). Summary The NASA DC-8 was based at Tinker Air Force Base near Oklahoma City between ...

  16. ARM: Millimeter Wavelength Cloud Radar (MMCR): monitoring data (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Name Name ORCID Search Authors Type: Select Type Animations/Simulations Figures/Plots Genome/Genetics Data Interactive Data Map(s) Multimedia Numeric Data Specialized Mix Still Images or Photos Software Host Website: Subject: Identifier Numbers: Research Org: Sponsoring Org: Contributing Orgs: Publication Date: to Sort: Relevance (highest to lowest) Publication Date (newest first) Publication Date (oldest first) Limit to: All records Datasets Data Collections Close Clear All

  17. Scanning ARM Cloud Radar Handbook (Technical Report) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Close Cite: Bibtex Format Close 0 pages in this document matching the terms "" Search For Terms: Enter terms in the toolbar above to search the full text of this document for ...

  18. ARM: Millimeter Wavelength Cloud Radar (MMCR): monitoring data...

    Office of Scientific and Technical Information (OSTI)

    Search Authors Type: Select Type AnimationsSimulations FiguresPlots GenomeGenetics Data Interactive Data Map(s) Multimedia Numeric Data Specialized Mix Still Images or Photos ...

  19. Clouds, aerosol, and precipitation in the Marine Boundary Layer: An ARM

    Office of Scientific and Technical Information (OSTI)

    mobile facility deployment (Journal Article) | SciTech Connect Journal Article: Clouds, aerosol, and precipitation in the Marine Boundary Layer: An ARM mobile facility deployment Citation Details In-Document Search Title: Clouds, aerosol, and precipitation in the Marine Boundary Layer: An ARM mobile facility deployment The Clouds, Aerosol, and Precipitation in the Marine Boundary Layer (CAP-MBL) deployment at Graciosa Island in the Azores generated a 21-month (April 2009-December 2010)

  20. Testing AGCM-Predicted Cloud and Radiation Properties with ARM Data: The

    Office of Scientific and Technical Information (OSTI)

    Super-Parameterization Approach (Conference) | SciTech Connect Testing AGCM-Predicted Cloud and Radiation Properties with ARM Data: The Super-Parameterization Approach Citation Details In-Document Search Title: Testing AGCM-Predicted Cloud and Radiation Properties with ARM Data: The Super-Parameterization Approach 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

  1. ARM - Facility News Article

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

    Radar Looking Good with New Reflector Bookmark and Share A new corner reflector (too small to be seen in this photo) on the WACR calibration tower helped to correct problems related to signal interference. As reported in July 2005, the W-band ARM Cloud Radar (WACR) is a 95-GHz system designed for a unique purpose - monitoring the radar returns of insects in the lowest 5 km of the atmosphere. This data is used to remove "noise" from the millimeter wavelength cloud radar (MMCR) return

  2. ARM - Facility News Article

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

    Scanning Capability Added to Cloud Radar Bookmark and Share As a prelude to great things to come throughout the user facility, a new 95-gigahertz scanning W-band cloud radar was installed in late September at the ARM Mobile Facility deployment site in the Azores. This new radar joins the instrument suite that has been collecting data at the airport on Graciosa Island since May 2009. The added scanning capability provides 3D information about clouds that scientists need to improve climate models.

  3. Stratus Cloud Structure from MM-Radar Transects and Satellite...

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

    modeling: * cloud-radiation interaction where correlations can trigger three-dimensional (3D) radiative transfer effects; and * dynamical cloud modeling where the goal is to...

  4. ARM: Auxiliary data for the Marine W-band (95 GHz) ARM Cloud...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Radar Doppler; Radar reflectivity Dataset File size NAView ...

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

    SciTech Connect (OSTI)

    Widener, K; Bharadwaj, N

    2012-11-13

    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 ARM’s Tropical Western Pacific (TWP) site on Manus Island in Papua New Guinea.

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

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

    govCampaignsGround-based Cloud Tomography Experiment at SGP 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 Campaign : Ground-based Cloud Tomography Experiment at SGP 2009.05.26 - 2009.07.17 Lead Scientist : Dong Huang For data sets, see below. Abstract 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

  7. ARM - Publications: Science Team Meeting Documents

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

    Comparisons of Measurements of Cloud Lower Boundaries by the MPL, BLC, MMCR, BBSS and AERI Han, D., and Ellingson, R.G., University of Maryland Eighth Atmospheric Radiation Measurement (ARM) Science Team Meeting The cloud lower boundary is an important factor in radiative transfer under various cloud conditions. Several ground-based instruments at the ARM CART Central Facility, including the micro pulse lidar (MPL), the Belfort laser ceilometer (BLC), and the MilliMeter Cloud profiling Radar

  8. ARM - Publications: Science Team Meeting Documents

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

    Using ARM Radar Data to Parameterize the Moments of Cirrus Cloud Properties in Terms of Cloud Layer Thickness and Temperature Vernon, E.N.(a) and Mace, G.G.(b), University of Utah (a), University of Utah (b) Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting Improving the reperesentation of cirrus clouds in large-scale models has been identified as a way to reduce the uncertainty associated with climate change simulations in these models. Representing cirrus clouds in

  9. 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 Fair-Weather Cumulus Clouds at the TWP ARM Site Kollias, P., Albrecht B.A., and Dow B.J., University of Miami...

  10. ARM - Campaign Instrument - mmcr94-air

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

    -air Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : 94 GHz, W-band Airborne Cloud Radar (MMCR94-AIR)...

  11. ARM - Publications: Science Team Meeting Documents

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

    K.-M.(c), BMRC (a), NOAACIRES CDC (b), NASA Langley (c) Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting It is highly desirable to use cloud radar data in...

  12. ARM - Publications: Science Team Meeting Documents

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

    Variability of Low Stratus Over the ARM SGP CART Based on Cloud Radar Data and LES Simulations Kogan, Z.N., Mechem, D.B., and Kogan, Y.L., Cooperative Institute for Mesoscale...

  13. ARM - Publications: Science Team Meeting Documents

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

    ... Radiometers During Aerosols99, the Indian Ocean Experiment (INDOEX), and Nauru99* Miller, M.A. A Survey of the Current State of the DOE ARM Millimeter Cloud Radars, the ...

  14. ARM - Publications: Science Team Meeting Documents

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

    in low signal-to-noise (SNR) conditions by the MMCRs is discussed. Using simulations of Doppler radar signals and MMCR observations of boundary layer clouds at the ARM Tropical...

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

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

    LWP43*pi*r3*N*dZ with the uncertainty of 30%, sigma0.38 cloud optical thickness taudong: Dong98 calculated cloud optical depth from tau1.575LWPreDong cloud particle...

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

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

    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 ...

  17. ARM - PI Product - MWR Retrievals of Cloud Liquid Water and Water...

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

    govDataPI Data ProductsMWR Retrievals of Cloud Liquid Water and Water Vapor ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us...

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

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

    govCampaignsMASRAD: Cloud Study from the 2NFOV at Pt. Reyes Field Campaign Campaign Links AMF Point Reyes Website ARM Data Discovery Browse Data Related Campaigns MArine Stratus...

  19. ARM - Publications: Science Team Meeting Documents: Tropical Cloud Overlap

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

    Structure and Cloud Area Tropical Cloud Overlap Structure and Cloud Area Vogelmann, Andrew Brookhaven National Laboratory Jensen, Michael Brookhaven National Laboratory Boer, Erwin LUEBEC The Tropical Western Pacific (TWP), with its vigorous cloud activity, is an excellent location to investigate the relationships between cloud properties and radiative fluxes. To unlock such issues first requires a better understanding of what the observed structures of clouds are and how they affect the

  20. Long-term Observations of the Convective Boundary Layer Using Insect Radar Returns at the SGP ARM Climate Research Facility

    SciTech Connect (OSTI)

    Chandra, A S; Kollias, P; Giangrande, S E; Klein, S A

    2009-08-20

    A long-term study of the turbulent structure of the convective boundary layer (CBL) at the U.S. Department of Energy Atmospheric Radiation Measurement Program (ARM) Southern Great Plains (SGP) Climate Research Facility is presented. Doppler velocity measurements from insects occupying the lowest 2 km of the boundary layer during summer months are used to map the vertical velocity component in the CBL. The observations cover four summer periods (2004-08) and are classified into cloudy and clear boundary layer conditions. Profiles of vertical velocity variance, skewness, and mass flux are estimated to study the daytime evolution of the convective boundary layer during these conditions. A conditional sampling method is applied to the original Doppler velocity dataset to extract coherent vertical velocity structures and to examine plume dimension and contribution to the turbulent transport. Overall, the derived turbulent statistics are consistent with previous aircraft and lidar observations. The observations provide unique insight into the daytime evolution of the convective boundary layer and the role of increased cloudiness in the turbulent budget of the subcloud layer. Coherent structures (plumes-thermals) are found to be responsible for more than 80% of the total turbulent transport resolved by the cloud radar system. The extended dataset is suitable for evaluating boundary layer parameterizations and testing large-eddy simulations (LESs) for a variety of surface and cloud conditions.

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

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

    data. Cloud microphysical properties derived from Mace's data of atmospheric thermodynamics, cloud properties, radiative fluxes and radiative heating rates are regridded to a...

  2. ARM - Field Campaign - Azores: Clouds, Aerosol and Precipitation...

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

    Campaigns Azores: Above-Cloud Radiation Budget near Graciosa Island 2010.04.15, Miller, AMF Azores: Extension to Clouds, Aerosol and Precipitation in the Marine Boundary...

  3. ARM - Publications: Science Team Meeting Documents: Cloud Radiative...

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

    Research Facility: Part 2. The Vertical Redistribution of Radiant Energy by Clouds. ... Documentation with data of the effects of clouds on the radiant energy balance of the ...

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

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

    relevant to DOE's goals in understanding the impact of clouds and aerosols on climate change. TWST contributes significantly to the body of data used for extracting cloud...

  5. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E...

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

    and Related Campaigns Meetings Cloud Life Cycle Working Group Contacts Michael Jensen, Lead Scientist Midlatitude Continental Convective Clouds Experiment (MC3E) Thanks to...

  6. ARM - Midlatitude Continental Convective Clouds (jensen-sonde)

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

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

    2012-01-19

    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.

  7. ARM Cloud Retrieval Ensemble Data Set (ACRED) (Technical Report) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Technical Report: ARM Cloud Retrieval Ensemble Data Set (ACRED) Citation Details In-Document Search Title: ARM Cloud Retrieval Ensemble Data Set (ACRED) × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize additional information resources in energy science and technology. A paper copy of this document is

  8. ARM - VAP Process - kazrarscl

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

    are those considered scientifically relevant. Cloud base height Cloud top height Radar Doppler Radar polarization Radar reflectivity Vertical velocity Locations North Slope...

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

    SciTech Connect (OSTI)

    Wu, Xiaoqing

    2014-02-25

    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.

  10. ARM - Facility News Article

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

    May 31, 2010 [Facility News] Scientists Convene at SGP Site for Complex Convective Cloud Experiment Bookmark and Share The MC3E planning team poses for a group photo near the ARM millimeter wave cloud radar at the SGP Central Facility. Mike Jensen, principle investigator for the campaign, is second from left. Photo courtesy of Brad Orr. In early May, scientists involved in the Midlatitude Continental Convective Cloud Experiment (MC3E), a joint field program involving NASA Global Precipitation

  11. ARM - Facility News Article

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

    15, 2009 [Facility News] Internet Upgrade Speeds Data Transfer from Tropics Bookmark and Share [http://images.arm.gov/armimages/MMCR0/MMCR.mpg][View this video] to see how the millimeter wave cloud radar works. In October 2008, a new higher-speed internet connection was hooked up for the ARM site in Darwin, Australia, at no extra cost. This upgrade enables spectral data-the base for determining reflectivity, vertical velocity, and spectral width-obtained by the millimeter wave cloud radar (MMCR)

  12. ARM - Publications: Science Team Meeting Documents: Day and Night cloud

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

    fraction - Cloud Inter-Compariosn IOP results Day and Night cloud fraction - Cloud Inter-Compariosn IOP results Genkova, Iliana University of Illinois-Champaign Long, Chuck Pacific Northwest National Laboratory Turner, David Pacific Northwest National Laboratory We present results from the CIC IOP from March-may, 2003. Day time and night time cloud fraction retrieval algorithms have been presented and intercompared. Amount of low, middle and high cloud have been estimated and compared to

  13. Cloud Properties from Doppler Radar Spectra - a Growing Suite...

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

    Laboratory 2. McGill University 3. CIRESNOAAETL 4. Penn State University C F B A E D Lidar Prediction Algorithm Depolarization C F B A E D Backscatter DOPPLER RADAR SPECTRA...

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

    SciTech Connect (OSTI)

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

    2014-05-16

    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.

  15. ARM - Facility News Article

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

    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! For estimates of cloud boundaries, there is no better capability than the millimeter wave cloud radar (MMCR).

  16. Inferring Cloud Feedbacks from ARM Continuous Forcing, ISCCP, and ARSCL Data

    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 York, New York A. B. Wolf and M.-S. Yao SGT Inc., Institute for Space Studies New York, New York Introduction Single Column Model (SCM) versions of parent general circulation models (GCMs), accompanied by cloud-resolving models (CRMs) that crudely resolve cloud-scale dynamics, have increasingly been used to simulate

  17. ARM - Campaign Instrument - nawx

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

    available measurements, including those recorded for diagnostic or quality assurance purposes. Cloud fraction Cloud base height Cloud top height Radar Doppler Radar reflectivity...

  18. ARM - Field Campaign - Thin Cloud Rotating Shadowband Radiometer

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

    Thin Cloud Rotating Shadowband Radiometer 2008.01.08 - 2008.07.18 Lead Scientist : Mary Jane Bartholomew For data sets, see below. Abstract The Thin-Cloud Rotating Shadowband...

  19. Radar Wind Profiler for Cloud Forecasting at Brookhaven National...

    Office of Scientific and Technical Information (OSTI)

    1) To provide profiles of the horizontal wind to be used to test and validate short-term cloud advection forecasts for solar-energy applications and 2) to provide vertical ...

  20. ARM - Publications: Science Team Meeting Documents

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

    Ice Cloud Microphysics Retrievals for the Broadband Radiative Heating Project Haynes, J.M., Stephens, G.L., and Leesman, K.J., Colorado State University Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting A new cloud microphysics retrieval is applied to cirrus observed by the Millimeter-Wavelength Cloud Radar over the ARM Southern Great Plains site. The retrieval has been developed in an optimal estimation framework which allows accurate characterization of the uncertainty of

  1. ARM: AOS: Dual Column Cloud Condensation Nuclei Counter (Dataset...

    Office of Scientific and Technical Information (OSTI)

    AOS: Dual Column Cloud Condensation Nuclei Counter Authors: Derek Hageman ; Bill Behrens ; Scott Smith ; Janek Uin ; Janek Uin ; Cynthia Salwen ; Cynthia Salwen ; Annette Koontz ; ...

  2. ARM - PI Product - Atmospheric State, Cloud Microphysics & Radiative...

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

    Mace cloud retrieval icegsolar liquidomegasolar liquidgIR iceomegasolar icetauIR liquidtausolar iceomegaIR lwcbestestimate liquidtauIR reliquidbestestimat...

  3. ARM - Field Campaign - Cloud, Aerosol, and Complex Terrain Interaction...

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

    This range of environmental conditions and cloud properties coupled with a high frequency of events makes this an ideal location for improving our understanding of...

  4. ARM - Publications: Science Team Meeting Documents: Cloud Property...

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

    Cloud Property Retrievals using AIRS data during MPACE Huang, Allen University of Wisconsin Li, Jun University of Wisconsin-Madison Baggett, Kevin University of Wisconsin-Madison...

  5. ARM - Field Campaign - Aerosol and Cloud Experiments in the Eastern...

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

    horizontal variabilities of aerosol, trace gases, cloud, drizzle, and atmospheric thermodynamics are critically needed for understanding and quantifying the budget of MBL aerosol,...

  6. ARM - Publications: Science Team Meeting Documents: Clouds and...

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

    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...

  7. ARM - Field Campaign - Holistic Interactions of Shallow Clouds...

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

    Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE); National Geospatial-Intelligence Agency Calibration Target Placements 2016.04.24, Kalukin, SGP ...

  8. ARM - Publications: Science Team Meeting Documents

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

    Measurements from the Air Force Cloud Profiling Radar (AFCPR) Mozer, J.B., and Hiett, T.C., U.S. Air Force Research Laboratory Ninth Atmospheric Radiation Measurement (ARM) Science Team Meeting We will introduce a new ka-band cloud radar that is operating at the U.S. Air Force Research Laboratory (AFRL). The specific measurements we will show involve using the radar data to model the effects of clouds on nighttime urban illumination and to validate satellite cloud retrieval algorithms

  9. arm_07.ai

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

    Size Measurements Using Data from a High Spectral Resolution Lidar and a Millimeter Wavelength Radar E. Eloranta, J. Garcia, I. Razenkov and J. Hedrick 1225 W. Dayton St University of Wisconsin-Madison eloranta@lidar.ssec.wisc.edu The University of Wisconsin Arctic High Spectral Resolution Lidar (AHSRL) and the ARM 8.6 mm radar (MMCR) collected data during the Mixed-Phase Cloud Experiment (M-PACE). The AHSRL provides measurements of the backscatter cross section, extinction cross section, and

  10. ARM - Events Article

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

    October 5, 2009 [Events] American Meteorological Society 34th Conference on Radar Meteorology Bookmark and Share Scientist Peter May from the Centre for Australian Weather and Climate Research is the keynote speaker at the American Meteorological Society's 34th Conference on Radar Meteorology this week. Peter was one of the principal investigators for the Tropical Warm Pool-International Cloud Experiment, conducted in the region near the ARM Climate Research Facility site in Darwin, Northern

  11. 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 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,

  12. Evaluation of aerosol-cloud interaction in the GISS ModelE using ARM

    Office of Scientific and Technical Information (OSTI)

    observations (Journal Article) | SciTech Connect Evaluation of aerosol-cloud interaction in the GISS ModelE using ARM observations Citation Details In-Document Search Title: Evaluation of aerosol-cloud interaction in the GISS ModelE using ARM observations Authors: de Boer G. ; Vogelmann A. ; Bauer, S. E. ; Toto, T. ; Menon, S. Publication Date: 2013-06-17 OSTI Identifier: 1093185 Report Number(s): BNL--101137-2013-JA R&D Project: 2015-BNL-EE630EECA-Budg DOE Contract Number:

  13. Field Evaluation of Real-time Cloud OD Sensor TWST during the DOE ARM TCAP

    Office of Scientific and Technical Information (OSTI)

    Campaign 2013 Final Campaign Report (Technical Report) | SciTech Connect Field Evaluation of Real-time Cloud OD Sensor TWST during the DOE ARM TCAP Campaign 2013 Final Campaign Report Citation Details In-Document Search Title: Field Evaluation of Real-time Cloud OD Sensor TWST during the DOE ARM TCAP Campaign 2013 Final Campaign Report The objective of this internal research and development (IRAD)-funded campaign by Aerodyne Research, Inc. was to demonstrate the field-worthiness and assess

  14. Field Evaluation of Real-time Cloud OD Sensor TWST during the DOE ARM TCAP

    Office of Scientific and Technical Information (OSTI)

    Campaign 2013 Final Campaign Report (Technical Report) | SciTech Connect Field Evaluation of Real-time Cloud OD Sensor TWST during the DOE ARM TCAP Campaign 2013 Final Campaign Report Citation Details In-Document Search Title: Field Evaluation of Real-time Cloud OD Sensor TWST during the DOE ARM TCAP Campaign 2013 Final Campaign Report The objective of this internal research and development (IRAD)-funded campaign by Aerodyne Research, Inc. was to demonstrate the field-worthiness and assess

  15. ARM TR-008

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

    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 Environmental Research January 2005, ARM TR-018 Contents 1. General Overview ............................................................................................................................... 1 2.

  16. Simulation of Post-Frontal Boundary Layers Observed During the ARM 2000 Cloud IOP

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

    Simulation of Post-Frontal Boundary Layers Observed During the ARM 2000 Cloud IOP D. B. Mechem and Y. L. Kogan Cooperative Institute for Mesoscale Meteorological Studies University of Oklahoma Norman, Oklahoma M. Poellot University of North Dakota Grand Forks, North Dakota Introduction Large-eddy simulation (LES) models have been widely employed in the study of radiatively forced cloud topped boundary layers (CTBL). These boundary layers are typically well mixed and characterized by a sharp jump

  17. 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 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

  18. ARM - Facility News Article

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

    October 29, 2010 [Facility News] Developer of the Millimeter Cloud Radar Recognized at the ASR Fall Meeting Bookmark and Share During the Atmospheric System Research Fall Working Group Meeting in October, Dr. Kenneth Moran, National Oceanic and Atmospheric Administration (NOAA), was presented with a plaque in recognition of his 15 years of outstanding contributions to the Atmospheric Radiation Measurement (ARM) Program and ARM Climate Resesarch Facility. As the developer of the

  19. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E...

    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 ...

  20. ARM - Tropical Warm Pool - International Cloud Experiment (TWP...

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

    Tropical Warm Pool - International Cloud Experiment (TWP-ICE) twp-ice-big One of the most complete data sets of tropical cirrus and convection observations ever collected will ...

  1. ARM - Field Campaign - Azores: Above-Cloud Radiation Budget near...

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

    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...

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

    SciTech Connect (OSTI)

    Chiu, Jui-Yuan Christine

    2014-04-10

    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 ARM’s 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 ARM’s operational data processing.

  3. ARM - Facility News Article

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

    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. 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

  4. INTRODUCTION TO DOPPLER RADAR Pavlos Kollias McGill University

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

    DOPPLER RADAR Pavlos Kollias McGill University radarscience.weebly.com 15 March 2016 ARM Summer Training and Science Applications GRANT CHALLENGES OF RADARS 15 March 2016 ARM Summer Training and Science Applications Cloud Radars The use of letters for radar frequency bands and decibels The decibel (dB) is a logarithmic unit that expresses the ratio of two values of a physical quantity, often power or intensity. 3 dB is a factor of 2 !! 15 March 2016 ARM Summer Training and Science Applications

  5. Cloud and aerosol characterization for the ARM central facility: Multiple remote sensor techniques development. Technical progress report

    SciTech Connect (OSTI)

    Sassen, K.

    1992-04-30

    This research project designed to investigate how atmospheric remote sensing technology can best be applied to the characterization of the cloudy atmosphere. Our research program addresses basic atmospheric remote sensing questions, but at the same time is clearly directed toward providing information crucial to the ARM (Atmospheric Remote Sensing) program and for application to the Clouds and Radiation Testbed (CART). The instrumentation that is being brought into play includes a variety of art-of-the-art sensors. Available at NOAA WPL are polarization Doppler K{sub a}-band (0.86 mm) and X-band (3.2 cm) radars, a C0{sub 2}(10.6 {mu}m) Doppler lidar with sequential ` polarization measurement capabilities, a three-channel (20.6, 31.65 and 90 GHz) microwave radiometer, and variety of visible and infrared radiometers. Instrumentation at the University of Utah Facility for Atmospheric Remote Sensing (FARS) includes a polarization ruby (0.643 {mu}m) lidar, a narrow-beam (0.14{degree}) mid-infrared (9.5--11.5 {mu}m) radiometer coaligned with the lidar, several other radiometers in the visible and infrared spectral regions, and an advanced two-color (1.06 and 0.532 {mu}m), four-channel Polarization Diversity Lidar (PDL) and all-sky video imaging system that have only recently been developed under the ARM IDP.

  6. ARM - Field Campaign - 2008 VAMOS Ocean-Cloud-Atmos-Land Study...

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

    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...

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

    SciTech Connect (OSTI)

    Dana E. Veron

    2012-04-09

    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.

  8. Automated retrieval of cloud and aerosol properties from the ARM Raman lidar, part 1: feature detection

    SciTech Connect (OSTI)

    Thorsen, Tyler J.; Fu, Qiang; Newsom, Rob K.; Turner, David D.; Comstock, Jennifer M.

    2015-11-01

    A Feature detection and EXtinction retrieval (FEX) algorithm for the Atmospheric Radiation Measurement (ARM) program’s Raman lidar (RL) has been developed. Presented here is part 1 of the FEX algorithm: the detection of features including both clouds and aerosols. The approach of FEX is to use multiple quantities— scattering ratios derived using elastic and nitro-gen channel signals from two fields of view, the scattering ratio derived using only the elastic channel, and the total volume depolarization ratio— to identify features using range-dependent detection thresholds. FEX is designed to be context-sensitive with thresholds determined for each profile by calculating the expected clear-sky signal and noise. The use of multiple quantities pro-vides complementary depictions of cloud and aerosol locations and allows for consistency checks to improve the accuracy of the feature mask. The depolarization ratio is shown to be particularly effective at detecting optically-thin features containing non-spherical particles such as cirrus clouds. Improve-ments over the existing ARM RL cloud mask are shown. The performance of FEX is validated against a collocated micropulse lidar and observations from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite over the ARM Darwin, Australia site. While we focus on a specific lidar system, the FEX framework presented here is suitable for other Raman or high spectral resolution lidars.

  9. ARM - Datastreams - 50rwpwindspec

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

    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

  10. “Lidar Investigations of Aerosol, Cloud, and Boundary Layer Properties Over the ARM ACRF Sites”

    SciTech Connect (OSTI)

    Ferrare, Richard; Turner, David

    2015-01-13

    Project goals; Characterize the aerosol and ice vertical distributions over the ARM NSA site, and in particular to discriminate between elevated aerosol layers and ice clouds in optically thin scattering layers; Characterize the water vapor and aerosol vertical distributions over the ARM Darwin site, how these distributions vary seasonally, and quantify the amount of water vapor and aerosol that is above the boundary layer; Use the high temporal resolution Raman lidar data to examine how aerosol properties vary near clouds; Use the high temporal resolution Raman lidar and Atmospheric Emitted Radiance Interferometer (AERI) data to quantify entrainment in optically thin continental cumulus clouds; and Use the high temporal Raman lidar data to continue to characterize the turbulence within the convective boundary layer and how the turbulence statistics (e.g., variance, skewness) is correlated with larger scale variables predicted by models.

  11. ARM - Publications: Science Team Meeting Documents

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

    The Role of Cloud Scale Resolution on Radiative Properties of Oceanic Low-Level Clouds Kassianov, E.I.(a), Ackerman, T.P.(a), and Kollias P.(b), Pacific Northwest National Laboratory (a), University of Miami (b) Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting Millimeter radars have been commonly used to examine the spatial/temporal evolution of clouds. To asses the impact of the cloud scale resolution on the solar radiative transfer, two sets of radiative experiments were

  12. ARM - Events Article

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

    37th Conference on Radar Meteorology Bookmark and Share Scott Collis, top, and Pavlos Kollias, bottom, are ARM radar scientists presenting at the radar conference. Scott Collis, top, and Pavlos Kollias, bottom, are ARM radar scientists presenting at the radar conference. Interested in learning more about open source radar software or cm- and mm-wavelength radar applications? Radar scientists from the Atmospheric Radiation Measurement (ARM) Climate Research Facility will be leading workshops on

  13. Cloud Classes and Radiative Heating profiles at the Manus and Nauru Atmospheric Radiation Measurement (ARM) Sites

    SciTech Connect (OSTI)

    Mather, James H.; McFarlane, Sally A.

    2009-10-07

    The Tropical Western Pacific (TWP) is a convective regime; however, the frequency and depth of convection is dependant on dynamical forcing which exhibits variability on a range of temporal scales and also on location within the region. Manus Island, Papua New Guinea lies in the heart of the western Pacific warm pool region and exhibits frequent deep convection much of the time while Nauru, which lies approximately 20 degrees to the East of Manus, lies in a transition zone where the frequency of convection is dependent on the phase of the El Nino/Southern Oscillation. Because of this difference in dynamical regime, the distribution of clouds and the associated radiative heating is quite different at the two sites. Individual cloud types: boundary layer cumulus, thin cirrus, stratiform convective outflow, do occur at both sites – but with different frequencies. In this study we compare cloud profiles and heating profiles for specific cloud types at these two sites using data from the Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF). Results of this comparison indicate that, while the frequency of specific cloud types differ between the two sites as one would expect, the characteristics of individual cloud classes are remarkably similar. This information could prove to be very useful for applying tropical ARM data to the broader region.

  14. ARM - Publications: Science Team Meeting Documents

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

    Possibilities of Rainfall-Rate Estimates from MMCR Measurements Matrosov, S.Y., CIRES, University of Colorado and NOAA ETL The vertically-pointing ARM 8 mm cloud radars are widely used for retrievals of cloud parameters. Attempts to quantitatively retrieve precipitation parameters (excluding drizzle properties) have been scarce. These retrievals are hampered by the saturation of strong radar returns, Mie scattering effects and significant attenuation of millimeter wavelength radiation in rain.

  15. 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)

    M Jensen; K Johnson; JH Mather

    2009-07-14

    Clouds represent a critical component of the Earth’s 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.

  16. On the relationship among cloud turbulence, droplet formation and drizzle as viewed by Doppler radar, microwave radiometer and lidar

    SciTech Connect (OSTI)

    Feingold, G.; Frisch, A.S.; Cotton, W.R.

    1999-09-01

    Cloud radar, microwave radiometer, and lidar remote sensing data acquired during the Atlantic Stratocumulus Transition Experiment (ASTEX) are analyzed to address the relationship between (1) drop number concentration and cloud turbulence as represented by vertical velocity and vertical velocity variance and (2) drizzle formation and cloud turbulence. Six cases, each of about 12 hours duration, are examined; three of these cases are characteristic of nondrizzling boundary layers and three of drizzling boundary layers. In all cases, microphysical retrievals are only performed when drizzle is negligible (radar reflectivity{lt}{minus}17dBZ). It is shown that for the cases examined, there is, in general, no correlation between drop concentration and cloud base updraft strength, although for two of the nondrizzling cases exhibiting more classical stratocumulus features, these two parameters are correlated. On drizzling days, drop concentration and cloud-base vertical velocity were either not correlated or negatively correlated. There is a significant positive correlation between drop concentration and mean in-cloud vertical velocity variance for both nondrizzling boundary layers (correlation coefficient r=0.45) and boundary layers that have experienced drizzle (r=0.38). In general, there is a high correlation (r{gt}0.5) between radar reflectivity and in-cloud vertical velocity variance, although one of the boundary layers that experienced drizzle exhibited a negative correlation between these parameters. However, in the subcloud region, all boundary layers that experienced drizzle exhibit a negative correlation between radar reflectivity and vertical velocity variance. {copyright} 1999 American Geophysical Union

  17. Continuous Profiles of Cloud Microphysical Properties for the Fixed Atmospheric Radiation Measurement Sites

    SciTech Connect (OSTI)

    Jensen, M; Jensen, K

    2006-06-01

    The Atmospheric Radiation Measurement (ARM) Program defined a specific metric for the third quarter of Fiscal Year 2006 to produce and refine a one-year continuous time series of cloud microphysical properties based on cloud radar measurements for each of the fixed ARM sites. To accomplish this metric, we used a combination of recently developed algorithms that interpret radar reflectivity profiles, lidar backscatter profiles, and microwave brightness temperatures into the context of the underlying cloud microphysical structure.

  18. ARM Cloud Aerosol Precipitation Experiment (ACAPEX) Science Plan

    SciTech Connect (OSTI)

    Leung, L. R.; Prather, K.; Ralph, R.; Rosenfeld, D.; Spackman, R.; DeMott, P.; Fairall, C.; Fan, J.; Hagos, S.; Hughes, M.; Long, C.; Rutledge, S.; Waliser, D.; Wang, H.

    2014-09-01

    The western U.S. receives precipitation predominantly during the cold season when storms approach from the Pacific Ocean. The snowpack that accumulates during winter storms provides about 70-90% of water supply for the region. Understanding and modeling the fundamental processes that govern the large precipitation variability and extremes in the western U.S. is a critical test for the ability of climate models to predict the regional water cycle, including floods and droughts. Two elements of significant importance in predicting precipitation variability in the western U.S. are atmospheric rivers and aerosols. Atmospheric rivers (ARs) are narrow bands of enhanced water vapor associated with the warm sector of extratropical cyclones over the Pacific and Atlantic oceans. Because of the large lower-tropospheric water vapor content, strong atmospheric winds and neutral moist static stability, some ARs can produce heavy precipitation by orographic enhancement during landfall on the U.S. West Coast. While ARs are responsible for a large fraction of heavy precipitation in that region during winter, much of the rest of the orographic precipitation occurs in post-frontal clouds, which are typically quite shallow, with tops just high enough to pass the mountain barrier. Such clouds are inherently quite susceptible to aerosol effects on both warm rain and ice precipitation-forming processes.

  19. Cloud Optical Properties from the Multifilter Shadowband Radiometer (MFRSRCLDOD): An ARM Value-Added Product

    SciTech Connect (OSTI)

    Turner, DD; McFarlane, SA; Riihimaki, L; Shi, Y; Lo, C; Min, Q

    2014-02-01

    The microphysical properties of clouds play an important role in studies of global climate change. Observations from satellites and surface-based systems have been used to infer cloud optical depth and effective radius. Min and Harrison (1996) developed an inversion method to infer the optical depth of liquid water clouds from narrow band spectral Multifilter Rotating Shadowband Radiometer (MFRSR) measurements (Harrison et al. 1994). Their retrieval also uses the total liquid water path (LWP) measured by a microwave radiometer (MWR) to obtain the effective radius of the warm cloud droplets. Their results were compared with Geostationary Operational Environmental Satellite (GOES) retrieved values at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site (Min and Harrison 1996). Min et al. (2003) also validated the retrieved cloud optical properties against in situ observations, showing that the retrieved cloud effective radius agreed well with the in situ forward scattering spectrometer probe observations. The retrieved cloud optical properties from Min et al. (2003) were used also as inputs to an atmospheric shortwave model, and the computed fluxes were compared with surface pyranometer observations.

  20. ARM - Midlatitude Continental Convective Clouds (comstock-hvps)

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

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

    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.

  1. ARM - Midlatitude Continental Convective Clouds (comstock-hvps)

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

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

    2012-01-06

    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.

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

    SciTech Connect (OSTI)

    Minnis, Patrick

    2013-06-28

    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.

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

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

    Williams, Christopher; Jensen, Mike

    2012-11-06

    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.

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

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

    Williams, Christopher; Jensen, Mike

    2012-11-06

    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.

  5. 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)]

    Williams, Christopher; Jensen, Mike

    2012-11-06

    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.

  6. 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)]

    Williams, Christopher; Jensen, Mike

    2012-11-06

    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.

  7. 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 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

  8. Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. Part I: Single layer cloud

    SciTech Connect (OSTI)

    Klein, S A; McCoy, R B; Morrison, H; Ackerman, A; Avramov, A; deBoer, G; Chen, M; Cole, J; DelGenio, A; Golaz, J; Hashino, T; Harrington, J; Hoose, C; Khairoutdinov, M; Larson, V; Liu, X; Luo, Y; McFarquhar, G; Menon, S; Neggers, R; Park, S; Poellot, M; von Salzen, K; Schmidt, J; Sednev, I; Shipway, B; Shupe, M; Spangenberg, D; Sud, Y; Turner, D; Veron, D; Falk, M; Foster, M; Fridlind, A; Walker, G; Wang, Z; Wolf, A; Xie, S; Xu, K; Yang, F; Zhang, G

    2008-02-27

    Results are presented from an intercomparison of single-column and cloud-resolving model simulations of a cold-air outbreak mixed-phase stratocumulus cloud observed during the Atmospheric Radiation Measurement (ARM) program's Mixed-Phase Arctic Cloud Experiment. The observed cloud occurred in a well-mixed boundary layer with a cloud top temperature of -15 C. The observed liquid water path of around 160 g m{sup -2} was about two-thirds of the adiabatic value and much greater than the mass of ice crystal precipitation which when integrated from the surface to cloud top was around 15 g m{sup -2}. The simulations were performed by seventeen single-column models (SCMs) and nine cloud-resolving models (CRMs). While the simulated ice water path is generally consistent with the observed values, the median SCM and CRM liquid water path is a factor of three smaller than observed. Results from a sensitivity study in which models removed ice microphysics indicate that in many models the interaction between liquid and ice-phase microphysics is responsible for the large model underestimate of liquid water path. Despite this general underestimate, the simulated liquid and ice water paths of several models are consistent with the observed values. Furthermore, there is some evidence that models with more sophisticated microphysics simulate liquid and ice water paths that are in better agreement with the observed values, although considerable scatter is also present. Although no single factor guarantees a good simulation, these results emphasize the need for improvement in the model representation of mixed-phase microphysics. This case study, which has been well observed from both aircraft and ground-based remote sensors, could be a benchmark for model simulations of mixed-phase clouds.

  9. 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.

  10. ARM - Facility News Article

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

    September 15, 2004 [Facility News] Upgrades Improve Site Data System Reliability Bookmark and Share Measurements from field instruments, such as the radar wind profiler (center) and radio acoustic sounding system (perimeter) in Barrow, are collected and transmitted by the Site Data System. Site Data Systems are a critically important element of the ARM Climate Research Facility's ability to collect and transmit data on clouds and radiative properties from research instrumentation in the field.

  11. ARM - Facility News Article

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

    10, 2014 [Facility News] New Experiment Records Avian Migration in Oklahoma Bookmark and Share From March through May 2014, researchers are using a night vision (infrared) camera and a pole-mounted acoustic recording array to identify specific biological signals in cloud and precipitation radar measurements at the ARM Southern Great Plains site. From March through May 2014, researchers are using a night vision (infrared) camera and a pole-mounted acoustic recording array to identify specific

  12. ARM - Midlatitude Continental Convective Clouds - Single Column Model Forcing (xie-scm_forcing)

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

    Xie, Shaocheng; McCoy, Renata; Zhang, Yunyan

    2012-10-25

    The constrained variational objective analysis approach described in Zhang and Lin [1997] and Zhang et al. [2001]was used to derive the large-scale single-column/cloud resolving model forcing and evaluation data set from the observational data collected during Midlatitude Continental Convective Clouds Experiment (MC3E), which was conducted during April to June 2011 near the ARM Southern Great Plains (SGP) site. The analysis data cover the period from 00Z 22 April - 21Z 6 June 2011. The forcing data represent an average over the 3 different analysis domains centered at central facility with a diameter of 300 km (standard SGP forcing domain size), 150 km and 75 km, as shown in Figure 1. This is to support modeling studies on various-scale convective systems.

  13. ARM - Data Announcements Article

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

    August 19, 2013 [Data Announcements] Large-Scale Forcing Data for AMIE-Gan Available for Evaluation Bookmark and Share Large-scale forcing data from the SMART-R precipitation radar (top) and Omega (bottom). Large-scale forcing data from the SMART-R precipitation radar (top) and Omega (bottom). The large-scale forcing data for the ARM MJO Investigation Experiment (AMIE) on Gan Island in the Maldives are now available for use and evaluation by the cloud modeling community. AMIE-Gan was conducted

  14. ARM - Instrument Location Table

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

    Radar KASACR Ka ARM Zenith Radar KAZR Laser Disdrometer LDIS Multi-Angle Snowflake Camera MASC Automatic Weather Station MAWS Surface Meteorological Instrumentation MET ...

  15. ARM - Instrument - mwacr

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

    The following measurements are those considered scientifically relevant. Radar Doppler Radar reflectivity Locations ARM Mobile Facility ACX M1 Browse Data Off the Coast...

  16. ARM - VAP Product - arsclwacrbnd1kollias

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

    Productswacrarsclarsclwacrbnd1kollias Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1097548 [ 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 : ARSCLWACRBND1KOLLIAS WACRARSCL: cloud boundaries from first Kollias algorithm Active Dates 2006.03.16 - 2014.09.13 Originating VAP Process W-band Cloud Radar Active Remote Sensing of Cloud :

  17. 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 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

  18. ARM - Measurement - Vertical velocity

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

    assurance purposes. ARM Instruments CO2FLX : Carbon Dioxide Flux Measurement Systems DL : Doppler Lidar ECOR : Eddy Correlation Flux Measurement System KAZR : Ka ARM Zenith Radar...

  19. ARM - Data Announcements Article

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

    19, 2014 [Data Announcements] New Best Estimate Data Available for WACR-ARSCL Bookmark and Share A data plot from the WACR-ARSCL Reflectivity Best Estimate from Graciosa Island, Azores, is shown for June 27, 2009. A data plot from the WACR-ARSCL Reflectivity Best Estimate from Graciosa Island, Azores, is shown for June 27, 2009. New data from the 95 GHz W-band ARM Cloud Radar-Active Remote Sensing of Clouds (WACR-ARSCL) value-added product (VAP) (Kollias and Miller, 2007) are now available in

  20. ARM - Publications: Science Team Meeting Documents

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

    The Bulk Properties of Mid Latitude Cirrus Events: Sensitivity to Large Scale Controlling Factors Vernon, E.N. and Mace, G.G., Department of Meteorology, Unviversity of Utah Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting The extensive cirrus record recored in the ARM data is being used to investigate the sensitivity of certain cirrus properties to the large scale meteorology. Using millimeter cloud radar (MMCR) data from the Southern Great Plains site, a statistical

  1. ARM Orientation: Overview and History

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

    009 ARM Orientation 1 Warren Wiscombe ARM Chief Scientist Brookhaven & NASA ARM Orientation: ARM Orientation: Overview and History Overview and History Mar 2009 ARM Orientation 2 Mar 2007 ARM Orientation 2 ARM Chief Scientist Team ARM Chief Scientist Team Ric Cederwall Andy Vogelmann Sharon Zuhoski Yangang Liu Pavlos Kollias Mar 2009 ARM Orientation 3 Mar 2007 ARM Orientation 3 ARM in a nutshell ARM in a nutshell * Created to improve cloud and radiation physics and cloud simulation

  2. Derivation of Seasonal Cloud Properties at ARM-NSA from Multispectral...

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

    In this paper, the operational Clouds and the Earth's Radiant Energy System (CERES) cloud ... In Clouds and the Earth's Radiant Energy System (CERES) Algorithm Theoretical Basis ...

  3. ARM - Campaign Instrument - lmwrr-air

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

    govInstrumentslmwrr-air Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Airborne L-band Microwave Radiometer and Radar (LMWRR-AIR) Instrument Categories Airborne Observations, Cloud Properties, Radiometric Campaigns Cloud LAnd Surface Interaction Campaign (CLASIC) [ Download Data ] Southern Great Plains, 2007.06.01 - 2007.06.30 Primary Measurements Taken The following measurements are those considered scientifically

  4. ARM - Publications: Science Team Meeting Documents

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

    Radar Estimations of Ice Cloud Optical Properties Matrosov, S.Y.(a), Shupe, M.D.(b), Heymsfiled, A.J.(c), and Zuidema, P.(d), CIRES University of Colorado and NOAA (a), STC and NOAA (b), NCAR (c), NOAA (d) Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting Clouds in radiation and climate models are usually described using different parameterizations between their microphysical and optical properties. Visible extinction profiles and optical thicknesses (i.e., the vertical

  5. COLLABORATIVE RESEARCH:USING ARM OBSERVATIONS & ADVANCED STATISTICAL TECHNIQUES TO EVALUATE CAM3 CLOUDS FOR DEVELOPMENT OF STOCHASTIC CLOUD-RADIATION

    SciTech Connect (OSTI)

    Somerville, Richard

    2013-08-22

    The long-range goal of several past and current projects in our DOE-supported research has been the development of new and improved parameterizations of cloud-radiation effects and related processes, using ARM data, and the implementation and testing of these parameterizations in global models. The main objective of the present project being reported on here has been to develop and apply advanced statistical techniques, including Bayesian posterior estimates, to diagnose and evaluate features of both observed and simulated clouds. The research carried out under this project has been novel in two important ways. The first is that it is a key step in the development of practical stochastic cloud-radiation parameterizations, a new category of parameterizations that offers great promise for overcoming many shortcomings of conventional schemes. The second is that this work has brought powerful new tools to bear on the problem, because it has been a collaboration between a meteorologist with long experience in ARM research (Somerville) and a mathematician who is an expert on a class of advanced statistical techniques that are well-suited for diagnosing model cloud simulations using ARM observations (Shen).

  6. A Radar-based Observing System for Validation of Cloud Resolving...

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

    photographically recorded data of the radar PPI images Houze and Chen, 1977 South China Sea Monsoon Experiment ... the answer to CREMORA a weather radar system (10 or 5.5 cm ...

  7. ARM - Publications: Science Team Meeting Documents: ARM SCM Intercompa...

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

    ARM SCM Intercomparison Helps Find Cloud Parameterization Bug Klein, Stephen Lawrence Livermore National Laboratory The ARM Cloud Parameterization and Modeling working group has...

  8. ARM CLASIC ER2 CRS/EDOP

    SciTech Connect (OSTI)

    Gerald Heymsfield

    2010-12-20

    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.

  9. ARM - Instrument - mmcr

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

    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...

  10. Ground-Based Radar

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

    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

  11. ARM - Publications: Science Team Meeting Documents

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

    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...

  12. 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.

  13. ARM - Measurements

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

    Deployment Operations Measurements SGP Data Plots NASA Data Plots ARM Data Discovery ... SPEC Humidity Diode Laser Hygrometer (DLH) NASA Turbulence AIMMS-20 SPEC Cloud Properties ...

  14. ARM - Publications: Science Team Meeting Documents

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

    A Three-Year Cloud Climatology for the Southern Great Plains Site Marchand, R.T. (a), Ackerman, T.P. (a), and Clothiaux, E.E. (b), Pacific Northwest National Laboratory (a), Pennsylvania State University (b) Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting In 1999 we presented a poster on radar-derived macrophyscial cloud statistics for the ARM SGP site for the two years 1997 and 1998. This year we extend those results with additional data from 1999. In addition to previous

  15. ARM - VAP Product - arsclwacr1kollias

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

    Productswacrarsclarsclwacr1kollias Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1097547 [ 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 : ARSCLWACR1KOLLIAS WACRARSCL: multiple outputs from first Kollias algorithm Active Dates 2006.03.16 - 2014.09.13 Originating VAP Process W-band Cloud Radar Active Remote Sensing of Cloud : WACRARSCL

  16. ARM - Facility News Article

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

    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

  17. ARM: Microwave Radiometer data (MWR Profiles - QME), water vapor, temp, cloud liquid water, precip water retrievals

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

    Maria Cadeddu

    2004-02-19

    Microwave Radiometer data (MWR Profiles - QME), water vapor, temp, cloud liquid water, precip water retrievals

  18. ARM: Microwave Radiometer data (MWR Profiles - QME), water vapor, temp, cloud liquid water, precip water retrievals

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

    Maria Cadeddu

    Microwave Radiometer data (MWR Profiles - QME), water vapor, temp, cloud liquid water, precip water retrievals

  19. ARM - Journal Articles 2011

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

    ... ratios provide constraints (Citation) Environmental Science & Technology Yes ARM ASR Dupont Cloud properties derived from two lidars over the ARM SGP site (Citation) Geophysical ...

  20. ARM - Instrument -

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

    radar line up at the SGP site Instrument collections* at three fixed sites around the globe, two mobile facilities, and an aerial facility are operated by the ARM Climate...

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

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

    Jensen, Mike

    2012-02-01

    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.

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

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

    Tomlinson, Jason; Jensen, Mike

    2012-02-28

    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.

  3. ARM - Blog Article

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

    October 26, 2015 [Blog, Field Notes, SGP] ARM Radar Technician Training Course at the ARM SGP Site Bookmark and Share Editor's note: Joseph Hardin, a radar engineer at the ARM Climate Research Facility, sent this update Training attendees Chris Martin and Matt Gibson working to measure a signal on the top of an X-SAPR radar. Training attendees Chris Martin and Matt Gibson working to measure a signal on the top of an X-SAPR radar. The ARM Climate Research Facility currently operates 33 radars

  4. 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 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.) After more than a year and a half of planning, proposals, and paperwork,

  5. ARM - Facility News Article

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

    24, 2008 [Facility News] New Leadership Announced for ARM Working Groups Bookmark and Share Matthew Shupe and Ann Fridlind are the new leaders of the ARM Cloud Properties and Cloud Modeling Working Groups, respectively. Matthew Shupe and Ann Fridlind are the new leaders of the ARM Cloud Properties and Cloud Modeling Working Groups, respectively. Hats off to Matthew Shupe and Ann Fridlind, newly announced leaders of the Cloud Properties and Cloud Modeling Working Groups, respectively. Matthew

  6. ARM - Publications: Science Team Meeting Documents

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

    cloud products and the ARM SGP observation for individual cirrus cloud and stratus cloud cases. At the same time, statistical comparison of optically thin cirrus clouds is also...

  7. ARM - Journal Articles 2006

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

    ... Measurement Program Climate Research Facility: 2. vertical redistribution of radiant energy by clouds (Citation) Journal of Geophysical Research ARM Mace Cloud radiative ...

  8. ARM - Instrument - xsapr

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

    The X-band scanning ARM precipitation radar (X-SAPR) is an X-band dual-polarization Doppler weather radar manufactured by Radtec, Inc. The X-SAPR operates in a simultaneous...

  9. Field Evaluation of Real-time Cloud OD Sensor TWST during the DOE ARM TCAP Campaign 2013 Final Campaign Report

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

    8 Field Evaluation of Real-time Cloud OD Sensor TWST during the DOE ARM TCAP Campaign 2013 Final Campaign Report E Niple H Scott J Conant F Iannarilli S Jones February 2016 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,

  10. Environmental assessment for the Atmospheric Radiation Measurement (ARM) Program: Southern Great Plains Cloud and Radiation Testbed (CART) site

    SciTech Connect (OSTI)

    Policastro, A.J.; Pfingston, J.M.; Maloney, D.M.; Wasmer, F.; Pentecost, E.D.

    1992-03-01

    The Atmospheric Radiation Measurement (ARM) Program is aimed at supplying improved predictive capability of climate change, particularly the prediction of cloud-climate feedback. The objective will be achieved by measuring the atmospheric radiation and physical and meteorological quantities that control solar radiation in the earth`s atmosphere and using this information to test global climate and related models. The proposed action is to construct and operate a Cloud and Radiation Testbed (CART) research site in the southern Great Plains as part of the Department of Energy`s Atmospheric Radiation Measurement Program whose objective is to develop an improved predictive capability of global climate change. The purpose of this CART research site in southern Kansas and northern Oklahoma would be to collect meteorological and other scientific information to better characterize the processes controlling radiation transfer on a global scale. Impacts which could result from this facility are described.

  11. Using Radar, Lidar and Radiometer Data from NSA and SHEBA to Quantify Cloud Property Effects on the Surface Heat Budget in the Arctic

    SciTech Connect (OSTI)

    Janet Intrieri; Mathhew Shupe

    2005-01-01

    Cloud and radiation data from two distinctly different Arctic areas are analyzed to study the differences between coastal Alaskan and open Arctic Ocean region clouds and their respective influence on the surface radiation budget. The cloud and radiation datasets were obtained from (1) the DOE North Slope of Alaska (NSA) facility in the coastal town of Barrow, Alaska, and (2) the SHEBA field program, which was conducted from an icebreaker frozen in, and drifting with, the sea-ice for one year in the Western Arctic Ocean. Radar, lidar, radiometer, and sounding measurements from both locations were used to produce annual cycles of cloud occurrence and height, atmospheric temperature and humidity, surface longwave and shortwave broadband fluxes, surface albedo, and cloud radiative forcing. In general, both regions revealed a similar annual trend of cloud occurrence fraction with minimum values in winter (60-75%) and maximum values during spring, summer and fall (80-90%). However, the annual average cloud occurrence fraction for SHEBA (76%) was lower than the 6-year average cloud occurrence at NSA (92%). Both Arctic areas also showed similar annual cycle trends of cloud forcing with clouds warming the surface through most of the year and a period of surface cooling during the summer, when cloud shading effects overwhelm cloud greenhouse effects. The greatest difference between the two regions was observed in the magnitude of the cloud cooling effect (i.e., shortwave cloud forcing), which was significantly stronger at NSA and lasted for a longer period of time than at SHEBA. This is predominantly due to the longer and stronger melt season at NSA (i.e., albedo values that are much lower coupled with Sun angles that are somewhat higher) than the melt season observed over the ice pack at SHEBA. Longwave cloud forcing values were comparable between the two sites indicating a general similarity in cloudiness and atmospheric temperature and humidity structure between the two regions.

  12. ARM - Facility News Article

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

    October 21, 2014 [Facility News] ARM Scientists Lead Radar Courses at ERAD2014 Bookmark and Share In September, radar engineers and science colleagues gathered in Garmisch-Partenkirchen, Germany, for the 8th European Conference on Radar in Meteorology and Hydrology. Leading ARM radar experts and data users shared their advances during two short-course workshops. A third short course was coordinated by Atmospheric System Research (ASR) colleagues on "Applications of Dual-Polarization Weather

  13. ARM - Site Index

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

    ... Mesonet KAZR: Ka-Band ARM Zenith Radar Landsat Thematic Mapper (TM) LDIS: Laser Disdrometer MET: Surface Meteorology Systems METTWR: Surface and Tower Meteorological ...

  14. ARM - Data Announcements Article

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

    classifier. These data are from the ARM C-SAPR at the Southern Great Plains site. The Python ARM Radar Toolkit (Py-ART) development team has released version 1.5.0. as an open...

  15. ARM News

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

    Regime Dependence of Cloud Water Variability Observed at the ARM Sites Wed, 11 May 2016 10:35:54 +0000 Research Highlights http://www.arm.gov/science/highlights/RNjc2/view <img src="http://www.arm.gov/science/highlights/images/thumbnails/thumb_R00676_1.png:100" style="float:left;margin-right:5px;margin-bottom:5px"/><p>Observations from ARM sites across the world have improved our understanding of how the amount of water in clouds varies at small scales. Based on

  16. ARM - Routine AAF Clouds with Low Optical Water Depths (CLOWD) Optical

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

    Radiative Observations (RACORO) Related Links RACORO Home AAF Home ARM Data Discovery Browse Data Post-Campaign Data Sets Data Guide (PDF, 1.4MB) Campaign Journal Flight Details Images ARM flickr site Deployment Operations Measurements Science & Operations Plan (PDF, 640K) SGP Data Plots RACORO wiki Login Required Experiment Planning Steering Committee Science Questions RACORO Proposal Abstract Full Proposal (PDF, 886K) Collaborations Meetings CLOWD Working Group News Discovery Channel

  17. Evaluation of high-level clouds in cloud resolving model simulations...

    Office of Scientific and Technical Information (OSTI)

    The simulated joint histograms of cloud occurrence and radar reflectivity compare well with cloud radar and satellite observations when using a two-moment microphysics scheme. ...

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

    SciTech Connect (OSTI)

    Veron, Dana E

    2009-03-12

    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, 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 below.

  19. Simulation of Frontal Clouds Using the NCAR CAM3 during the ARM...

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

    of New York at Stony Brook Wu, Jingbo Stony Brook University Category: Modeling A case study is carried out to simulate the March 2-3 frontal clouds with the NCAR CAM3 as...

  20. A Method for the Automatic Detection of Insect Clutter in Doppler-Radar Returns.

    SciTech Connect (OSTI)

    Luke,E.; Kollias, P.; Johnson, K.

    2006-06-12

    The accurate detection and removal of insect clutter from millimeter wavelength cloud radar (MMCR) returns is of high importance to boundary layer cloud research (e.g., Geerts et al., 2005). When only radar Doppler moments are available, it is difficult to produce a reliable screening of insect clutter from cloud returns because their distributions overlap. Hence, screening of MMCR insect clutter has historically involved a laborious manual process of cross-referencing radar moments against measurements from other collocated instruments, such as lidar. Our study looks beyond traditional radar moments to ask whether analysis of recorded Doppler spectra can serve as the basis for reliable, automatic insect clutter screening. We focus on the MMCR operated by the Department of Energy's (DOE) Atmospheric Radiation Measurement (ARM) program at its Southern Great Plains (SGP) facility in Oklahoma. Here, archiving of full Doppler spectra began in September 2003, and during the warmer months, a pronounced insect presence regularly introduces clutter into boundary layer returns.

  1. ARM - Instrument - kasacr

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

    cloud volume data. Measurements collected with the Ka-SACR are copolar and cross-polar radar reflectivity, Doppler velocity, spectra width and spectra when not scanning, and...

  2. ARM - Instrument - wsacr

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

    cloud volume data. Measurements collected with the W-SACR are copolar and cross-polar radar reflectivity, Doppler velocity, spectra width and spectra when not scanning, and...

  3. Final Report - Satellite Calibration and Verification of Remotely Sensed Cloud and Radiation Properties Using ARM UAV Data (February 28, 1995 - February 28, 1998)

    SciTech Connect (OSTI)

    Minnis, Patrick

    1998-02-28

    The work proposed under this agreement was designed to validate and improve remote sensing of cloud and radiation properties in the atmosphere for climate studies with special emphasis on the use of satellites for monitoring these parameters to further the goals of the Atmospheric Radiation Measurement (ARM) Program.

  4. ARM - Campaign Instrument - g-1

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

    govInstrumentsg-1 Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Gulfstream (G-1) Instrument Categories Aerosols, Airborne Observations Campaigns Cloud Radar IOP [ Download Data ] Southern Great Plains, 1997.04.02 - 1997.04.22 Fall 1997 Aerosol IOP [ Download Data ] Southern Great Plains, 1997.09.15 - 1997.10.05 Fall 1997 Water Vapor IOP [ Download Data ] Southern Great Plains, 1997.09.15 - 1997.10.05 Shortwave Radiation

  5. ARM - Publications: Science Team Meeting Documents

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

    properties using the ground- based measurements of cloud radar, laser ceilometer, and microwave and solar radiometers. A relationship between effective radius and radar...

  6. ARM - Data Announcements Article

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

    August 31, 2011 [Data Announcements] ARM Cloud Retrieval Ensemble Data Set Available for Evaluation Bookmark and Share Multiple long-term cloud retrievals are now available for five ARM sites in the ACRED data set. Multiple long-term cloud retrievals are now available for five ARM sites in the ACRED data set. A new ARM evaluation product, the ARM Cloud Retrieval Ensemble Data Set (ACRED), is now available for testing by the science community. ACRED was developed with the motivation to provide a

  7. ARM - Facility News Article

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

    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

  8. ARM - Events Article

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

    February 29, 2016 [Events, Facility News] ASR Marine Low Clouds Workshop Held Bookmark and Share A drizzling marine stratocumulus cloud over the Northeast Pacific Ocean taken during Leg 17 of the Marine ARM GPCI Investigation of Clouds (MAGIC) Campaign. A drizzling marine stratocumulus cloud over the Northeast Pacific Ocean taken during Leg 17 of the Marine ARM GPCI Investigation of Clouds (MAGIC) Campaign. While they may not elicit the excitement and drama of their deeper, more-intense, sibling

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

    SciTech Connect (OSTI)

    Albrecht, Bruce,

    2013-07-12

    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 UM’s research focusing on the analyses of ARM cloud radar observations from MMCR and WACR and FIU’s 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.

  10. SGP and TWP (Manus) Ice Cloud Vertical Velocities

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

    Kalesse, Heike

    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. Retrieved V_air and V_ter follow radar notation, so positive values indicate downward motion. Lower level clouds are removed, however a multi-layer flag is included.

  11. SGP and TWP (Manus) Ice Cloud Vertical Velocities

    SciTech Connect (OSTI)

    Kalesse, Heike

    2013-06-27

    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. Retrieved V_air and V_ter follow radar notation, so positive values indicate downward motion. Lower level clouds are removed, however a multi-layer flag is included.

  12. DOE/SC-ARM/TR-098 Micropulse Lidar Cloud Mask Value-Added Product Technical Report

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

    8 Micropulse Lidar Cloud Mask Value-Added Product Technical Report C Sivaraman J Comstock July 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

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

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

    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

  14. DOE/SC-ARM-14-012 The Mid-latitude Continental Convective Clouds

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

    2 The Mid-latitude Continental Convective Clouds (MC3E) Experiment Final Campaign Report M Jensen P Kollias S Giangrande April 2014 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,

  15. doe sc arm 15 056 UCSD Sky Imager Cloud Position Study_formatted

    Office of Scientific and Technical Information (OSTI)

    56 University of California, San Diego (UCSD) Sky Imager Cloud Position Study Field Campaign Report J Kleissl B Urquhart M Ghonima E Dahlin A Nguyen B Kurtz CW Chow FA Mejia April 2016 CLIMATE RESEARCH FACILITY 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,

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

    SciTech Connect (OSTI)

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

    2014-11-01

    The motivation for this research is to develop a precipitation classification and rain rate estimation method using cloud radar-only measurements for Atmospheric Radiation Measurement (ARM) long-term cloud observation analysis, which are crucial and unique for studying cloud lifecycle and precipitation features under different weather and climate regimes. Based on simultaneous and collocated observations of the Ka-band ARM zenith radar (KAZR), two precipitation radars (NCAR S-PolKa and Texas A&M University SMART-R), and surface precipitation during the DYNAMO/AMIE field campaign, a new cloud radar-only based precipitation classification and rain rate estimation method has been developed and evaluated. The resulting precipitation classification is equivalent to those collocated SMART-R and S-PolKa observations. Both cloud and precipitation radars detected about 5% precipitation occurrence during this period. The convective (stratiform) precipitation fraction is about 18% (82%). The 2-day collocated disdrometer observations show an increased number concentration of large raindrops in convective rain compared to dominant concentration of small raindrops in stratiform rain. The composite distributions of KAZR reflectivity and Doppler velocity also show two distinct structures for convective and stratiform rain. These indicate that the method produces physically consistent results for two types of rain. The cloud radar-only rainfall estimation is developed based on the gradient of accumulative radar reflectivity below 1 km, near-surface Ze, and collocated surface rainfall (R) measurement. The parameterization is compared with the Z-R exponential relation. The relative difference between estimated and surface measured rainfall rate shows that the two-parameter relation can improve rainfall estimation.

  17. ARM - Publications: Science Team Meeting Documents: The impact of Cloud and

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

    Radiation on the Great Plains Climate Change during 1981-2003 The impact of Cloud and Radiation on the Great Plains Climate Change during 1981-2003 Popham, Julie University of North Dakota The global average air surface temperature has increased about 0.6oC over the 20th century (Houghton et al. 2001). This warming has resulted in a 10% decrease in the extent of snow cover observed from satellite, and about two weeks reduction in the annual duration of lake and river ice cover in the mid-

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

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

    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

  19. Comparing Clouds Using Cloud Radar

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

    Year Weight (kg) 1998 102 1999 104 2000 98 2001 91 2002 86 1. Now you will need to draw the axes of your graph. These are lines that tell you where to put information. On the...

  20. Merged and corrected 915 MHz Radar Wind Profiler moments (Dataset...

    Office of Scientific and Technical Information (OSTI)

    (MC3E) to improve the estimation of noise floor of the RWP recorded Doppler spectra. ... Subject: 54 Environmental Sciences ARM; Radar reflectivity; Radar Doppler; Deep ...

  1. ARM - Journal Articles 2008

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

    ... An evaluation of operational GOES-derived single-layer cloud top heights with ARSCL data over the ARM Southern Great Plains Site (Citation) Geophysical Research Letters ARM Dupont ...

  2. 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 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

  3. ARM - Campaign Instrument - aosmet

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

    govInstrumentsaosmet Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Meteorological Measurements associated with the Aerosol Observing System (AOSMET) Instrument Categories Surface Meteorology Campaigns ARM Cloud Aerosol Precipitation Experiment (ACAPEX) [ Download Data ] ACAPEX (ARM Cloud Aerosol Precip Experiment); Mobile Facility, 2015.01.14 - 2015.02.12 Biogenic Aerosols - Effects on Clouds and Climate [ Download Data ]

  4. ARM - Facility News Article

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

    Cloud Animation Joins Learning Tools on Science Education Website Bookmark and Share ARM's tropical convective clouds animation illustrates the difference between tropical cloud systems that form over islands versus over the ocean. A primary focus of ARM Education and Outreach is to develop basic science awareness and increase critical thinking skills focusing on environmental science and climate change for K-12 students. Though their efforts primarily focus on the communities that host ARM

  5. TC_CLOUD_REGIME.cdr

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

    intensity (e.g. May and Ballinger, 2007) Resulting Cloud Properties Examine rain DSD using polarimetric radar Examine ice cloud properties using MMCR and MPL Expect...

  6. Cloud Properties and Radiative Heating Rates for TWP

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

    Comstock, Jennifer

    2013-11-07

    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.

  7. Cloud Properties and Radiative Heating Rates for TWP

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

    Comstock, Jennifer

    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.

  8. ARM - Campaign Instrument - aos

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

    govInstrumentsaos 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 Observing System (AOS) Instrument Categories Aerosols Campaigns 2007 Cumulus Humilis Aerosol Process Study (CHAPS) [ Download Data ] Off Site Campaign : various, including non-ARM sites, 2007.06.04 - 2007.06.25 ARM Cloud Aerosol Precipitation Experiment (ACAPEX) [ Download Data ] ACAPEX (ARM Cloud Aerosol Precip Experiment); Mobile Facility, 2015.01.14

  9. ARM - Data Announcements Article

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

    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. 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

  10. ARM - Education Article

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

    4, 2006 [Education] ARM Scientists Visit Darwin Schools During the Tropical Warm Pool - International Cloud Experiment Bookmark and Share ARM scientists and graduate students visited a classroom at Wagaman Primary School in Darwin during the two-month TWP-ICE field campaign. Many students and teachers in the Darwin community received first-hand information about ARM research and the exciting Tropical Warm Pool-International Cloud Experiment that took place in January and February this year. ARM

  11. ARM - Facility News Article

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

    June 1, 2015 [Facility News] BAMS Features Results of 21-Month ARM Deployment Bookmark and Share Low clouds were observed typically at the Graciosa site during the 21-month ARM Mobile Facility deployment. Low clouds were observed typically at the Graciosa site during the 21-month ARM Mobile Facility deployment. Featured in the March 2015 Bulletin of the American Meteorological Society (BAMS), the 21-month ARM mobile facility deployment in the Azores was the longest of its type in a non-tropical

  12. ARM - Facility News Article

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

    as remote measurements. Between September 7-9, ARM researchers and international collaborators involved in flight operations for the Tropical Warm Pool International Cloud...

  13. ARM - Campaign Instrument - psr

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

    call us at 1-888-ARM-DATA. Send Campaign Instrument : Polarimetric Scanning Radiometer (PSR) Instrument Categories Radiometric, Surface Meteorology Campaigns Cloud LAnd Surface...

  14. ARM - Meetings and Presentations

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

    528K) Jennifer Comstock, Chaomei Lo, Tim Shippert, Sally McFarlane, Eli Mlawer, David Turner, Andy Vogelmann, and Mandy Khaiyer RACORO: Routine ARM Aerial Facility (AAF) Clouds...

  15. ARM - Campaign Instrument - mas

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

    below or call us at 1-888-ARM-DATA. Send Campaign Instrument : NASA MODIS Airborne Simulator (MAS) Instrument Categories Airborne Observations, Radiometric Campaigns Cloud LAnd...

  16. ARM - Fact Sheets

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

    Measurement Platforms PNNL WRF-CuP Forecast Cloud Physics Lidar MODIS Airborne Simulator Data Mesonet Monitoring ARM Data Plots Experiment Planning CLASIC Proposal Abstract...

  17. ARM - CLASIC News & Press

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

    Measurement Platforms PNNL WRF-CuP Forecast Cloud Physics Lidar MODIS Airborne Simulator Data Mesonet Monitoring ARM Data Plots Experiment Planning CLASIC Proposal Abstract...

  18. ARM - Campaign Instrument - mwrp

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

    Categories Atmospheric Profiling, Cloud Properties, Radiometric Campaigns ARM-FIRE Water Vapor Experiment Download Data Southern Great Plains, 2000.11.01 - 2000.12.31...

  19. ARM - Campaign Instrument - pdi

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

    Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Phase Doppler Interferometer (PDI) Instrument Categories Airborne Observations, Cloud Properties...

  20. ARM - Campaign Instrument - twst

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

    1-888-ARM-DATA. Send Campaign Instrument : Three Waveband Spectrally-agile Technique Sensor (TWST) Instrument Categories Atmospheric Profiling, Cloud Properties, Radiometric...

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

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

    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

  2. ARM - VAP Process - ccnprof

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

    Productsccnprof 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 : Cloud Condensation Nuclei Profile (CCNPROF) Instrument Categories Aerosols, Derived Quantities and Models The cloud condensation nuclei (CCN) concentration at cloud base is the most relevant measure of the aerosol that influences droplet formation in clouds.

  3. ARM - Facility News Article

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

    Infrared Thermometers Complete Cloud Pictures Bookmark and Share Extended Facilities at the SGP are spaced far enough apart that they do not have overlapping views overhead. This separation allows the infrared thermometers to obtain specific measurements for individual cloud cases. To help ARM scientists analyze cloud temperatures and infer cloud heights over the ARM Climate Research Facility Southern Great Plains (SGP) site, operations staff are installing six new infrared thermometers (IRTs)

  4. 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)]

    Wood, Robert

    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.

  5. ARM XDC Datastreams

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

    StreamsC-Band Polarimetric Radar Documentation CPOL 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 C-Band Polarimetric Radar (CPOL) Information updated on November 4, 2013, 4:25 pm GMT General Data Description The polarimetric radar is a scanning 5 cm wavelength radar that uses a 10 minute cycle that includes a volume scan, an RHI (Range Height Indicator) scan over the

  6. ARM - Events Article

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

    February 11, 2015 [Events, Facility News] First ARM Summer Training to be Held in Oklahoma Bookmark and Share Radar row at the Southern Great Plains Central Facility is a series of radars and lidars used to measure a variety of atmospheric properties. Radar row at the Southern Great Plains Central Facility is a series of radars and lidars used to measure a variety of atmospheric properties. In an effort to promote the training of the next generation of atmospheric scientists, the first ever ARM

  7. ARM - Sponsors

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

    Sponsors Related Links CLASIC Home AAF Home ARM Data Discovery Browse Data Post-Campaign CLASIC/CHAPS Special Session at AGU Annual Meeting, December 15-19 CLASIC Workshop, March 26-27 Data Sets Deployment Resources Measurement Platforms PNNL WRF-CuP Forecast Cloud Physics Lidar MODIS Airborne Simulator Data Mesonet Monitoring ARM Data Plots Experiment Planning CLASIC Proposal Abstract Science Questions Science and Implementation Plan (pdf) Measurement Platforms (pdf) CLASIC-Land Experiment Plan

  8. 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 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

  9. ARM: ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

    ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  10. ARM: ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

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

    Karen Johnson; Michael Jensen

    ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  11. PNNL ARM Virtual Tour

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

    ARM Mission Video Virtual Tour Home Southern Great Plains The world's largest and most extensive climate research field site, the Southern Great Plains in Oklahoma and Kansas has been a testbed for ARM measurement development for over 20 years. Data from the site provide details about cloud, aerosol, and atmospheric processes that have never before been available for computer models that simulate Earth's climate. More Information About ARM ARM Facility Overview (Adobe Flash® required) ARM

  12. ARM - Evaluation Product - MICROBASE Ensemble Data Products ...

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

    microphysical properties retrieved by the Atmospheric Radiation Measurement (ARM) Climate Research Facility's baseline cloud microphysical algorithm (MICROBASE) at the ARM Southern...

  13. ARM - Datastreams - 50rwptemp

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

    1-888-ARM-DATA. Send Datastream : 50RWPTEMP 50-MHz Radar Wind ProfilerRASS (RWP50): virtual temperature profile data Active Dates 1997.05.19 - 2001.03.31 Measurement Categories...

  14. ARM - Campaign Instrument - npol

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

    govInstrumentsnpol Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : NASA N-POL Polarimetric Radar System...

  15. ARM - Publications: Science Team Meeting Documents

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

    3D Remote Sensing of Cirrus Cloud Parameters Using AVHRR and MODIS Data Coupled With Radar and Lidar Measurements Ou, S.C.(a), Liou, K.N.(a), Takano, Y.(a), Mace, G.G.(b), Sassen, K.(b), and Heymsfield, A.(c), University of California at Los Angeles, California (a), University of Utah, Utah (b), National Center for Atmospheric Research, Colorado (c) Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting Satellite mapping of the optical depth in midlatitude and tropical regions has

  16. Atmospheric Radiation Measurement (ARM) Data from the Eastern...

    Office of Scientific and Technical Information (OSTI)

    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. ...

  17. ARM - Datastreams - 1290bsrwpprecipavg

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

    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 - 2016.05.12 Measurement Categories Atmospheric State Originating Instrument Radar Wind Profiler (RWP) Measurements Only measurements

  18. ARM - Datastreams - 1290bsrwpwindavg

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

    bsrwpwindavg Documentation Data Quality Plots Citation DOI: 10.5439/1095573 [ 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 : 1290BSRWPWINDAVG 1290-MHz Beam-Steered Radar Wind Profiler: Wind and Moment Averages Active Dates 2012.12.06 - 2016.05.12 Measurement Categories Atmospheric State Originating Instrument Radar Wind Profiler (RWP) Measurements Only measurements

  19. ARM - Facility News Article

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

    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

  20. ARM: ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

    ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  1. ARM: ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

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

    Karen Johnson; Michael Jensen

    ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  2. 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)]

    Krista Gaustad; Laura Riihimaki

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

  3. ARM: 10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm

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

    Chitra Sivaraman; Connor Flynn

    1998-03-01

    10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm

  4. Effective Radius of Cloud Droplets Derived from Ground-based Remote Sensing at the ARM SGP site

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

    Efficacy of Aerosol - Cloud Interactions under Varying Meteorological Conditions Byung-Gon Kim, @ Mark Miller, # Stephen Schwartz, $ Yangang Liu, $ Qilong Min % Kangnung National University, @ Rutgers University # Brookhaven National Laboratory, $ State Univ. of NY at Albany % (Courtesy Magritte) Cloud dynamical processes such as entrainment mixing may be the primary modulators of cloud optical properties in certain situations. Entrainment of dry air alters the cloud drop size distribution by

  5. 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)]

    Krista Gaustad; Laura Riihimaki

    1997-01-01

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

  6. ARM: 10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm

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

    Chitra Sivaraman; Connor Flynn

    10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm

  7. ARM - Publications

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

    ... 29(3), doi: 10.1175jcli-d-15-0349.1. ARM Deng M, GG Mace, Z Wang, and E Berry. 2016. "CloudSat 2C-ICE product update with a new Z(e) parameterization in lidar-only region." ...

  8. ARM - Campaign Instrument - uav-proteus-micro

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

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

  9. ARM - Publications: Science Team Meeting Documents: Accounting...

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

    for the ARM and the Clouds and Earth's Radiant Energy System (CERES) to derive cloud amount, temperature, height, phase, effective particle size, optical depth, and water path. ...

  10. ARM - Facility News Article

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

    June 30, 2007 [Facility News] New Radar Wind Profiler Joins AMF Instrument Suite in Germany Bookmark and Share The 1290 MHz wind profiler (foreground) joins the eddy correlation system (background) for the 9-month deployment in Germany. A new 1290 MHz radar wind profiler has joined the ARM Mobile Facility instrument suite for the Convective and Orographic Precipitation Study (COPS) in Germany. This system operates similarly to a Doppler radar and provides measurements of backscattered

  11. ARM - Facility News Article

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

    Radar Wind Profiler Upgrades Optimize Performance, Increase Reliability Bookmark and Share The RWP associate instrument mentor Tim Martin shows the new amplifier, interface, processor, and display of the upgraded 915 MHz RWP at the SGP Central Facility. Radar wind profilers (RWPs) provide hourly measurements of wind speed and direction from 100 m to 5 km above the ground. Between 1992 and 1996, four 915 MHz 9-panel radar wind profilers (RWPs) were deployed at the ARM Southern Great Plains (SGP)

  12. ARM - Facility News Article

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

    June 30, 2006 [Facility News] "VAPs" Define Key Properties at ARM Sites Bookmark and Share To better understand the influence of clouds on radiative transfer, scientists need better information about not only the specific cloud microphysics, but also the state of the surrounding atmosphere. Despite extensive instrumentation deployed at the ARM sites, some quantities of interest remain either impractical or impossible to measure directly or routinely. For this reason, some ARM Program

  13. ARM - Datastreams - xsaprhsrhi

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

    Radar Doppler dopplerspectralwidth Radar polarization dpphaseshift Radar Doppler meandopplervelocity Radar reflectivity reflectivity Radar reflectivity reflectivitycorr...

  14. ARM - Datastreams - xsaprvad

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

    Radar Doppler dopplerspectralwidth Radar polarization dpphaseshift Radar Doppler meandopplervelocity Radar reflectivity reflectivity Radar reflectivity reflectivitycorr...

  15. ARM - Datastreams - csaprsec

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

    Radar polarization diffreflectivity Radar polarization diffreflectivityunf Radar Doppler dopplerspectralwidth Radar Doppler dopplerspectralwidthunf Radar...

  16. ARM - Datastreams - csaprrhi

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

    Radar polarization diffreflectivity Radar polarization diffreflectivityunf Radar Doppler dopplerspectralwidth Radar Doppler dopplerspectralwidthunf Radar...

  17. ARM - VAP Process - mplcbh

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

    Productsmplcbh 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 : Cloud Base Height from MPL Using Scott-Spinhirne Algorithm (MPLCBH) Instrument Categories Cloud Properties Output Products mplcbh1scott : MPL: cloud base heights using the Scott/Spinhirne algorithm Primary Measurements The following measurements are those considered

  18. ARM - VAP Process - mplcmask

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

    Productsmplcmask 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 : Cloud mask from Micropulse Lidar (MPLCMASK) Instrument Categories Cloud Properties Sample plot generated by MPLCMASK. Click to enlarge the image. Sample plot generated by MPLCMASK. Click to enlarge the image. An operational cloud boundary algorithm has been

  19. ARM - VAP Process - ripbe

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

    Productsripbe 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 : Radiatively Important Parameters Best Estimate (RIPBE) Instrument Categories Aerosols, Cloud Properties, Radiometric Quicklook plot showing RIPBE liquid cloud effective radius (top) and quality control flags (bottom). For the first half of the day, no cloud data

  20. ARM - VAP Process - sfccldgrid

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

    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)

  1. Joint retrievals of cloud and drizzle in marine boundary layer clouds using

    Office of Scientific and Technical Information (OSTI)

    ground-based radar, lidar and zenith radiances (Journal Article) | DOE PAGES Published Article: Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances « Prev Next » Title: Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances Active remote sensing of marine boundary-layer clouds is challenging as drizzle drops often dominate the observed radar

  2. Joint retrievals of cloud and drizzle in marine boundary layer clouds using

    Office of Scientific and Technical Information (OSTI)

    ground-based radar, lidar and zenith radiances (Journal Article) | SciTech Connect Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances Citation Details In-Document Search Title: Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances Active remote sensing of marine boundary-layer clouds is challenging as drizzle drops often dominate the observed radar

  3. Joint retrievals of cloud and drizzle in marine boundary layer clouds using

    Office of Scientific and Technical Information (OSTI)

    ground-based radar, lidar and zenith radiances (Journal Article) | SciTech Connect Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances Citation Details In-Document Search Title: Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances Active remote sensing of marine boundary-layer clouds is challenging as drizzle drops often dominate the observed radar

  4. Joint retrievals of cloud and drizzle in marine boundary layer clouds using

    Office of Scientific and Technical Information (OSTI)

    ground-based radar, lidar and zenith radiances (Journal Article) | DOE PAGES Published Article: Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances Title: Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances Active remote sensing of marine boundary-layer clouds is challenging as drizzle drops often dominate the observed radar reflectivity. We present a

  5. Clouds, aerosol, and precipitation in the Marine Boundary Layer...

    Office of Scientific and Technical Information (OSTI)

    Approximately half of all clouds contained precipitation detectable as radar echoes below the cloud base. Radar and satellite observations show that clouds with tops from 1-11 km ...

  6. ARM - Other Aircraft Campaigns

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

    Cloud Radar Campaign 12 days Stephen Sekelsky SGP 1998-08-03 Past BDRF Campaign 25 days Don Cahoon SGP 2002-05-13 Past IHOP Campaign 1 months Dave Parsons SGP 2005-05-21 Past...

  7. ARM - Instrument - csapr

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

    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...

  8. ARM - Instrument - kazr

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

    extent and composition of clouds at millimeter wavelengths. The KAZR is a zenith-pointing Doppler radar that operates at a frequency of approximately 35 GHz. The main purpose of...

  9. Atmospheric Radiation Measurement (ARM) Data from the ARM Aerial Facility

    Office of Scientific and Technical Information (OSTI)

    () | Data Explorer the ARM Aerial Facility Title: Atmospheric Radiation Measurement (ARM) Data from the ARM Aerial Facility The Atmospheric Radiation Measurement (ARM) Program is the largest global change research program supported by the U.S. Department of Energy. The primary goal of the ARM Program is to improve the treatment of cloud and radiation physics in global climate models in order to improve the climate simulation capabilities of these models. ARM data is collected both through

  10. ARM - Facility News Article

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

    3, 2015 [Facility News] New Radar Facilities for Remote Areas Bookmark and Share Next generation technology and deployments around the globe will fill in data gaps Beginning January 1, 2016, ARM Facility radars will be deployed at McMurdo Station, seen here in the distance from Observation Hill, in Antarctica for one year. Image courtesy of Dan Lubin. Beginning January 1, 2016, ARM Facility radars will be deployed at McMurdo Station, seen here in the distance from Observation Hill, in Antarctica

  11. ARM - 2001 ARM Science Team Meeting

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

    ... Profiles of Fair - Weather Cumulus Clouds at the TWP ARM Site 2:45 p.m. Comstock JM, TP Ackerman, and GG Mace: Cirrus Radiative Properties in the Tropical Western Pacific 3:00 p.m. ...

  12. ARM - 1998 ARM Science Team Meeting

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

    Profiles of Fair - Weather Cumulus Clouds at the TWP ARM Site 2:45 p.m. Comstock JM, TP Ackerman, and GG Mace: Cirrus Radiative Properties in the Tropical Western Pacific 3:00 p.m. ...

  13. ARM - Facility News Article

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

    ARM Archive Sets Record for User Accounts Bookmark and Share The ARM Archive stores and distributes the large quantities of data resulting from routine operations and scientific field campaigns conducted at the ARM sites. Scientists use these data to study atmospheric radiation balance and cloud feedback processes, which are critical to the understanding of global climate change. In the first quarter of FY07 (October through December 2006), the ARM recorded the largest number of Archive users

  14. ARM - Campaign Instrument - rwp

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

    govInstrumentsrwp Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Radar Wind Profiler (RWP) Instrument Categories Atmospheric Profiling Campaigns Aerosol Life Cycle IOP at BNL [ Download Data ] Off Site Campaign : various, including non-ARM sites, 2011.06.01 - 2011.08.31 Carbonaceous Aerosol and Radiation Effects Study (CARES) - Surface Meteorological Sounding [ Download Data ] Off Site Campaign : various, including non-ARM

  15. ARM - VAP Product - kazrcorge

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

    Productskazrcorkazrcorge 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 Output : KAZRCORGE Ka ARM Zenith Radar (KAZR): general mode Corrected Active Dates 2011.10.09 - 2012.02.07 Originating VAP Process KAZR Corrected Data : KAZRCOR Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements

  16. ARM - VAP Product - kazrcorhi

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

    Productskazrcorkazrcorhi 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 Output : KAZRCORHI Ka ARM Zenith Radar (KAZR): highest sensitivity mode Corrected Active Dates 2011.10.07 - 2012.02.07 Originating VAP Process KAZR Corrected Data : KAZRCOR Measurements Only measurements considered scientifically relevant are shown below by default. Show all

  17. ARM - LASSO Presentations

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

    Presentations LASSO Information LASSO Home LASSO Backgrounder Pilot Phase Begins for Routine Large-Eddy Simulations Pilot Project Timeline Presentations Science LASSO Implementation Strategy Related Information ARM Decadal Vision Archive of LASSO Information e-mail list LASSO Collaboration Letter Contacts William Gustafson, Lead Principal Investigator Andrew Vogelmann, Co-Principal Investigator Hanna Goss, Media Contact LASSO Presentations ARM Radar Workshop, February 25, 2016 LES ARM Symbiotic

  18. ARM - Facility News Article

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

    7, 2015 [Facility News] New Virtual Tour Takes ARM Users to the "Top of the World" Bookmark and Share Featured in the virtual tour, the Great White Instrument Platform houses the most instruments of any installation at ARM's NSA site, including five radiometers, two radars, two lidars, a total sky imager, and an infrared thermometer. Featured in the virtual tour, the Great White Instrument Platform houses the most instruments of any installation at ARM's NSA site, including five

  19. 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)

    Houze, Jr., Robert A.

    2013-11-13

    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.

  20. 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 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

  1. DOE/SC-ARM-XXXX DOE/SC-ARM-0706

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

    XXXX DOE/SC-ARM-0706  Table of Contents Program Overview............................................................................................................................................................. 4 . The.Role.of.Clouds.in.Climate..................................................................................................................................... 4 .

  2. ARM - Publications: Science Team Meeting Documents

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

    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...

  3. Fine-scale Horizontal Structure of Arctic Mixed-Phase Clouds.

    SciTech Connect (OSTI)

    Rambukkange,M.; Verlinde, J.; Elorante, E.; Luke, E.; Kollias, P.; Shupe, M.

    2006-07-10

    Recent in situ observations in stratiform clouds suggest that mixed phase regimes, here defined as limited cloud volumes containing both liquid and solid water, are constrained to narrow layers (order 100 m) separating all-liquid and fully glaciated volumes (Hallett and Viddaurre, 2005). The Department of Energy Atmospheric Radiation Measurement Program's (DOE-ARM, Ackerman and Stokes, 2003) North Slope of Alaska (NSA) ARM Climate Research Facility (ACRF) recently started collecting routine measurement of radar Doppler velocity power spectra from the Millimeter Cloud Radar (MMCR). Shupe et al. (2004) showed that Doppler spectra has potential to separate the contributions to the total reflectivity of the liquid and solid water in the radar volume, and thus to investigate further Hallett and Viddaurre's findings. The Mixed-Phase Arctic Cloud Experiment (MPACE) was conducted along the NSA to investigate the properties of Arctic mixed phase clouds (Verlinde et al., 2006). We present surface based remote sensing data from MPACE to discuss the fine-scale structure of the mixed-phase clouds observed during this experiment.

  4. Final Technical Report ARM DOE Grant #DE-FG02-03ER63520 Parameterizations of Shortwave Radiactive Properties of Broken Clouds from Satellite and Ground-Based Measurements

    SciTech Connect (OSTI)

    Albrecht, Bruce, A.

    2006-06-19

    This study used DOE ARM data and facilities to: 1) study macroscopic properties of continental stratus clouds at SGP and the factors controlling these properties, 2) develop a scientific basis for understanding the pocesses responsible for the formation of boundary layer clouds using ARM observations in conjunction with simple parametric models and LES, and 3) evaluate cumulus cloud characteristics retrieved retrieved from the MMCR operating at TWP-Nauru. In addition we have used high resolution 94 GHz observations of boundary layer clouds and precipitation to: 1)develop techniques for using high temporal resolution Doppler velocities to study large-eddy circulations and turbulence in boundary layer clouds and estimate the limitations of using current and past MMCR data for boundary layer cloud studies, 2) evaluate the capability and limitation of the current MMCR data for estimating reflectivity, vertical velocities, and spectral under low-signal-to-noise conditions associated with weak non-precipitating clouds, 3) develop possible sampling modes for the new MMCR processors to allow for adequate sampling of boundary layer clouds, and 4) retrieve updraft and downdraft structures under precipitating conditions.

  5. ARM poster 2007 Chuang

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

    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

  6. 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 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

  7. ARM - Facility News Article

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

    Satellite Data Conversion Supports Tropical Cloud Research Bookmark and Share This liquid water plot from SSM/I global data shows long cloud bands and areas of scattered convection (red), including a fairly extensive cloud system in the vicinity of Manus Island in the Tropical Western Pacific (indicated by the white rectangle). For several years, the ARM Program has collected global satellite data for wind speed, precipitable water vapor, cloud liquid water, and rain rate over the ocean. From

  8. 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)

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

    2013-09-11

    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.

  9. SGP and TWP (Manus) Ice Cloud Vertical Velocities (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Search Results SGP and TWP (Manus) Ice Cloud Vertical Velocities Title: SGP and TWP (Manus) Ice Cloud Vertical Velocities 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

  10. ARM - Publications: Science Team Meeting Documents

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

    when available, to explore the aerosol indirect effect in non-precipitating, ice-free clouds. The study uses archived ARM data on sub-cloud aerosol extinction, cloud...

  11. Radiative Energy Balance in the Tropical Tropopause Layer: An Investigation with ARM Data

    SciTech Connect (OSTI)

    Fu, Qiang

    2013-10-22

    The overall objective of this project is to use the ARM observational data to improve our understanding of cloud-radiation effects in the tropical tropopause layer (TTL), which is crucial for improving the simulation and prediction of climate and climate change. In last four and half years, we have been concentrating on (i) performing the comparison of the ice cloud properties from the ground-based lidar observations with those from the satellite CALIPSO lidar observations at the ARM TWP sites; (ii) analyzing TTL cirrus and its relation to the tropical planetary waves; (iii) calculating the radiative heating rates using retrieved cloud microphysical properties by combining the ground-based lidar and radar observations at the ARM TWP sites and comparing the results with those using cloud properties retrieved from CloudSat and CALIPSO observations; (iv) comparing macrophysical properties of tropical cirrus clouds from the CALIPSO satellite and from ground-based micropulse and Raman lidar observations; (v) improving the parameterization of optical properties of cirrus clouds with small effective ice particle sizes; and (vi) evaluating the enhanced maximum warming in the tropical upper troposphere simulated by the GCMs. The main results of our research efforts are reported in the 12 referred journal publications that acknowledge the DOE Grant No. DE-FG02-09ER64769.

  12. Microsoft PowerPoint - Mace_Poster_ARM-ATrain_Comparison [Compatibility Mode]

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

    Representativeness of ARM Cloud Measurements: The Representativeness of ARM Cloud Measurements: The Representativeness of ARM Cloud Measurements: p I iti l C i f ARM Cl d St ti ti With Cl d t d CALIPSO St ti ti Initial Comparison of ARM Cloud Statistics With Cloudsat and CALIPSO Statistics Initial Comparison of ARM Cloud Statistics With Cloudsat and CALIPSO Statistics p Jay Mace Sally Benson Jay Mace, Sally Benson y , y Contributions from: Roger Marchand (Cloudsat mask) Mark Vaughn (CALIPSO

  13. ARM - VAP Process - armbe

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

    G. Palanisamy, Y. Shi, and D.D. Turner, 2010: CLOUDS AND MORE: ARM Climate Modeling Best Estimate Data. Bull. Amer. Meteor. Soc., 91, 13-20. DOI: 10.11752009BAMS2891.1. Data...

  14. ARM - Instrument - dl

    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 Instrument : Doppler Lidar (DL) Instrument Categories Cloud Properties Picture of the Doppler Lidar...

  15. ARM - 2007 Performance Metrics

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

    3 (CAM3). Document and evaluate ice water content simulated by CAM3 using ARM and NASA Aura satellite data. Product DocumentationDeliverables - The implementation of the cloud...

  16. ARM - Campaign Instrument - fcdp

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

    govInstrumentsfcdp Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Fast cloud droplet probe (FCDP)...

  17. ARM - Campaign Instrument - visst

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

    govInstrumentsvisst Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Minnis Cloud Products Using Visst...

  18. ARM - Campaign Instrument - cpi

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

    govInstrumentscpi Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Cloud Particle Imager (CPI) Instrument...

  19. ARM - Campaign Instrument - clddigcam

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

    govInstrumentsclddigcam Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Cloud Digital Camera (CLDDIGCAM)...

  20. ARM - Campaign Instrument - csi

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

    govInstrumentscsi Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Cloud Spectrometer and Impactor (CSI)...