National Library of Energy BETA

Sample records for lab cloud property

  1. Storm Peak Lab Cloud Property Validation

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

    Peak Lab Cloud Property Validation Experiment (STORMVEX) Operated by the Atmospheric Radiation Measurement (ARM) Climate Research Facility for the U.S. Department of Energy, the second ARM Mobile Facility (AMF2) begins its inaugural deployment November 2010 in Steamboat Springs, Colorado, for the Storm Peak Lab Cloud Property Validation Experiment, or STORMVEX. For six months, the comprehensive suite of AMF2 instruments will obtain measurements of cloud and aerosol properties at various sites

  2. STORMVEX: The Storm Peak Lab Cloud Property Validation Experiment Science and Operations Plan

    SciTech Connect (OSTI)

    Mace, J; Matrosov, S; Shupe, M; Lawson, P; Hallar, G; McCubbin, I; Marchand, R; Orr, B; Coulter, R; Sedlacek, A; Avallone, L; Long, C

    2010-09-29

    During the Storm Peak Lab Cloud Property Validation Experiment (STORMVEX), a substantial correlative data set of remote sensing observations and direct in situ measurements from fixed and airborne platforms will be created in a winter season, mountainous environment. This will be accomplished by combining mountaintop observations at Storm Peak Laboratory and the airborne National Science Foundation-supported Colorado Airborne Multi-Phase Cloud Study campaign with collocated measurements from the second ARM Mobile Facility (AMF2). We describe in this document the operational plans and motivating science for this experiment, which includes deployment of AMF2 to Steamboat Springs, Colorado. The intensive STORMVEX field phase will begin nominally on 1 November 2010 and extend to approximately early April 2011.

  3. Cloud Properties Working Group Low Clouds Update

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

    Cloud Properties Working Group Low Clouds Update Low Clouds Update Jennifer Comstock Jennifer Comstock Dave Turner Dave Turner Andy Andy Vogelmann Vogelmann Instruments Instruments 90/150 GHz microwave radiometer 90/150 GHz microwave radiometer Deployed during COPS AMF Deployed during COPS AMF Exploring calibration w/ DPR ( Exploring calibration w/ DPR ( Crewell Crewell & & L L ö ö hnert hnert ) ) See COPS Breakout, Wednesday evening See COPS Breakout, Wednesday evening 183 GHz (GVR)

  4. [Multifractal cloud properties data assessment

    SciTech Connect (OSTI)

    Gautier, C.; Ricchiazzi, P.; Peterson, P.; Lavallee, D. ); Frouin, R.; Lubin, D. ); Lovejoy, S. ); Schertzer, D. )

    1992-05-06

    Our group has been very active over the last year, analyzing a number of data sets to characterize multifractal cloud properties and assess the effects of clouds on surface radiation properties (spectral and broadband). The data sets analyzed include: AVHRR observations of clouds over the ocean, SPOT observations of clouds over the ocean, SSM/I observations of clouds over the ocean, pyranometer data with all-sky photographs, pyrgeometer data all-sky photographs, and spectral surface irradiance all-sky photographs. A number of radiative transfer computations have been performed to help in the interpretation of these observations or provide theoretical guidance for their analysis. Finally 4 number of radiative transfer models have been acquired and tested to prepare for the interpretation of ARM/CART data.

  5. Zenith Radiance Retrieval of Cloud Properties

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

    retrievals of cloud properties from the AMF/COPS campaign Preliminary retrievals of cloud properties from the AMF/COPS campaign Christine Chiu, UMBC/JCET Alexander Marshak, GSFC Yuri Knyazikhin, Boston University Warren Wiscombe, GSFC Christine Chiu, UMBC/JCET Alexander Marshak, GSFC Yuri Knyazikhin, Boston University Warren Wiscombe, GSFC The cloud optical properties of interest are: The cloud optical properties of interest are: * Cloud optical depth τ - the great unknown * Radiative cloud

  6. MAGIC Cloud Properties from Zenith Radiance Data Final Campaign...

    Office of Scientific and Technical Information (OSTI)

    Title: MAGIC Cloud Properties from Zenith Radiance Data Final Campaign Summary Cloud droplet size and optical depth are the most fundamental properties for understanding cloud ...

  7. MBL Drizzle Properties and Their Impact on Cloud Property Retrieval

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

    layer drizzle properties and their impact on cloud property retrieval." Atmospheric Measurement Techniques, 8, doi:10.5194amt-8-3555-2015. Contributors Xiquan Dong,...

  8. Radiative properties of ice clouds

    SciTech Connect (OSTI)

    Mitchell, D.L.; Koracin, D.; Carter, E.

    1996-04-01

    A new treatment of cirrus cloud radiative properties has been developed, based on anomalous diffraction theory (ADT), which does not parameterize size distributions in terms of an effective radius. Rather, is uses the size distribution parameters directly, and explicitly considers the ice particle shapes. There are three fundamental features which characterize this treatment: (1) the ice path radiation experiences as it travels through an ice crystal is parameterized, (2) only determines the amount of radiation scattered and absorbed, and (3) as in other treatments, the projected area of the size distribution is conserved. The first two features are unique to this treatment, since it does not convert the ice particles into equivalent volume or area spheres in order to apply Mie theory.

  9. Inventory of Personal Property Begins Soon | Jefferson Lab

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

    Inventory of Personal Property Begins Soon Inventory of Personal Property Begins Soon The annual physical inventory of personal property will start June 6. It's recommended that all Jefferson Lab Property Custodians, which includes anyone who is assigned Jefferson Lab property, to be prepared to make items available for this process and to excess any items that the custodian no longer needs for business purposes. If you have items on your property list that you no longer need, you may excess

  10. Tropical Cloud Properties and Radiative Heating Profiles (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Tropical Cloud Properties and Radiative Heating Profiles Title: Tropical Cloud Properties ... in that it uses the microwave radiometer to scale the radiosonde column water vapor. ...

  11. 2011 CLOuDS Campaign | Princeton Plasma Physics Lab

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

    CLOuDS Campaign (photo credits: NASA Johnson Space Center) View larger image 11 PR 0706 29 View larger image 11 PR 0706 31 View larger image 11 PR 0706 32 View larger image Jsc 2011 E 070584 View larger image Jsc 2011 E 070586 View larger image Jsc 2011 E 070594 View larger image Jsc 2011 E 070600 View larger image Jsc 2011 E 070602 View larger image Jsc 2011 E 070605 View larger image Jsc 2011 E 070612 View larger image Jsc 2011 E 070615 View larger image Jsc 2011 E 070633 View larger image Jsc

  12. CLOuDS: 2012 Workshop | Princeton Plasma Physics Lab

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

    CLOuDS: 2012 Workshop View larger image IMG 1124 View larger image IMG 1125 View larger image IMG 1126 View larger image IMG 1155 View larger image IMG 1156 View larger image IMG 1157 View larger image IMG 1127 View larger image IMG 1128 View larger image IMG 1130 View larger image IMG 1131 View larger image IMG 1132 View larger image IMG 1133 View larger image IMG 1134 View larger image IMG 1137 View larger image IMG 1146 View larger image IMG 1148 View larger image IMG 1151 View larger image

  13. Cloud Properties Working Group Break Out Session

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

    Break Out Session ARM Science Team Meeting Louisville, KY 30 March 2009 The Chair's Objectives for CPWG *Maintain continuity of "base" instruments - We're building a climatology! *Advocate for sufficient programmatic support to make our measurements useful. *Better retrieval vetting framework - moving towards Cloud Properties Best Estimate *Build a stronger connection with the modeling community - Producing the products they want. CPWG Breakout Agenda 30 March 2009, 3-5 pm *3:00-3:15

  14. ARM - PI Product - Tropical Cloud Properties and Radiative Heating Profiles

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

    ProductsTropical Cloud Properties and Radiative Heating Profiles 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 PI Product : Tropical Cloud Properties and Radiative Heating Profiles We have generated a suite of products that includes merged soundings, cloud microphysics, and radiative fluxes and heating profiles. The cloud microphysics is strongly based on the ARM Microbase value added product (Miller et al.,

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

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

    Azores ProductsCloud Property Retrieval Products for Graciosa Island, Azores 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 PI Product : Cloud Property Retrieval Products for Graciosa Island, Azores [ research data - ASR funded ] The motivation for developing this product was to use the Dong et al. 1998 method to retrieve cloud microphysical properties, such as cloud droplet effective radius, cloud droplets

  16. Satellite determination of stratus cloud microphysical properties...

    Office of Scientific and Technical Information (OSTI)

    of liquid water path from SSMI, broadband albedo from ERBE, and cloud characteristics from ISCCP are used to study stratus regions. An average cloud liquid water path of ...

  17. Lab

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

    Flexible hydropower: boosting energy December 16, 2014 New hydroelectric resource for Northern New Mexico supplies clean energy to homes, businesses and the Lab We know a lot of power is required at the Lab to support our national security science, and we're committed to finding ways to incorporate more renewable energy and reduce our carbon footprint. In addition to the collaborative Smart Grid Technology Test Bed, Los Alamos and partners helped develop other ways to generate renewable power to

  18. Cloud Property Retrieval Products for Graciosa Island, Azores

    SciTech Connect (OSTI)

    Dong, Xiquan

    2014-05-05

    The motivation for developing this product was to use the Dong et al. 1998 method to retrieve cloud microphysical properties, such as cloud droplet effective radius, cloud droplets number concentration, and optical thickness. These retrieved properties have been used to validate the satellite retrieval, and evaluate the climate simulations and reanalyses. We had been using this method to retrieve cloud microphysical properties over ARM SGP and NSA sites. We also modified the method for the AMF at Shouxian, China and some IOPs, e.g. ARM IOP at SGP in March, 2000. The ARSCL data from ARM data archive over the SGP and NSA have been used to determine the cloud boundary and cloud phase. For these ARM permanent sites, the ARSCL data was developed based on MMCR measurements, however, there were no data available at the Azores field campaign. We followed the steps to generate this derived product and also include the MPLCMASK cloud retrievals to determine the most accurate cloud boundaries, including the thin cirrus clouds that WACR may under-detect. We use these as input to retrieve the cloud microphysical properties. Due to the different temporal resolutions of the derived cloud boundary heights product and the cloud properties product, we submit them as two separate netcdf files.

  19. Cloud Property Retrieval Products for Graciosa Island, Azores

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

    Dong, Xiquan

    The motivation for developing this product was to use the Dong et al. 1998 method to retrieve cloud microphysical properties, such as cloud droplet effective radius, cloud droplets number concentration, and optical thickness. These retrieved properties have been used to validate the satellite retrieval, and evaluate the climate simulations and reanalyses. We had been using this method to retrieve cloud microphysical properties over ARM SGP and NSA sites. We also modified the method for the AMF at Shouxian, China and some IOPs, e.g. ARM IOP at SGP in March, 2000. The ARSCL data from ARM data archive over the SGP and NSA have been used to determine the cloud boundary and cloud phase. For these ARM permanent sites, the ARSCL data was developed based on MMCR measurements, however, there were no data available at the Azores field campaign. We followed the steps to generate this derived product and also include the MPLCMASK cloud retrievals to determine the most accurate cloud boundaries, including the thin cirrus clouds that WACR may under-detect. We use these as input to retrieve the cloud microphysical properties. Due to the different temporal resolutions of the derived cloud boundary heights product and the cloud properties product, we submit them as two separate netcdf files.

  20. "Lidar Investigations of Aerosol, Cloud, and Boundary Layer Properties...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: "Lidar Investigations of Aerosol, Cloud, and Boundary Layer Properties Over the ARM ACRF Sites" Citation Details In-Document Search Title: "Lidar Investigations ...

  1. Understanding the Effect of Aerosol Properties on Cloud Droplet...

    Office of Scientific and Technical Information (OSTI)

    5-055 ENERGY Science Understanding the Effect of Aerosol Properties on Cloud Droplet Formation during TCAP Field Campaign Report D Cziczo May 2016 ARM CLIMATE RESEARCH FACILITY ...

  2. 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...

  3. MAGIC Cloud Properties from Zenith Radiance Data Final Campaign Summary

    SciTech Connect (OSTI)

    Chiu, J. -Y.C.; Gregory, L.; Wagener, R.

    2016-01-01

    Cloud droplet size and optical depth are the most fundamental properties for understanding cloud formation, dissipation and interactions with aerosol and drizzle. They are also a crucial determinant of Earth’s radiative and water-energy balances. However, these properties are poorly predicted in climate models. As a result, the response of clouds to climate change is one of the major sources of uncertainty in climate prediction.

  4. Cloud properties derived from the High Spectral Resolution Lidar during

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

    MPACE Cloud properties derived from the High Spectral Resolution Lidar during MPACE Eloranta, Edwin University of Wisconsin Category: Field Campaigns Cloud properties were derived from data acquired with University of Wisconsin High Spectral Resolution Lidar during its 6-week MPACE deployment. This poster presents statistics on: 1) the altitude and temperature distribution of optical depth and cloud phase. 2) the dependence of lidar depolarization and backscatter phase function on

  5. ARM Cloud Properties Working Group: Meeting Logistics

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

    to 1630: J. Comstock - Clouds with Low Optical Water Depth (CLOWD) 1630 to 1645: B. Albrecht - Clouds, Aerosol, and Precipitation in the Marine Boundary Layer (CLAP-MBL) 1645 to ...

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

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

    the potential to create a correlative data set equivalent to between 200 and 300 ... of the algorithm results. 2. The data set was collected in a region of complex terrain. ...

  7. 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.

  8. 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.

  9. Cloud Property Retrieval Products for Graciosa Island, Azores...

    Office of Scientific and Technical Information (OSTI)

    We had been using this method to retrieve cloud microphysical properties over ARM SGP and NSA sites. We also modified the method for the AMF at Shouxian, China and some IOPs, e.g. ...

  10. Radiosonde observations at Pt. Reyes and cloud properties retrieved from

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

    GOES-WEST Radiosonde observations at Pt. Reyes and cloud properties retrieved from GOES-WEST Inoue, Toshiro MRI/JMA Category: Field Campaigns Low-level cloud formed off the west coast of continents plays an important role in general circulation and climate. Marine Stratus Radiation Aerosol and Drizzle (MASRAD) was conducted at the ARM mobile site deployed at Pt Reyes, California during April to September. Here, we studied the relationship between meteorological parameters observed by GPS

  11. Tropical Cloud Properties and Radiative Heating Profiles

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

    Mather, James

    2008-01-15

    We have generated a suite of products that includes merged soundings, cloud microphysics, and radiative fluxes and heating profiles. The cloud microphysics is strongly based on the ARM Microbase value added product (Miller et al., 2003). We have made a few changes to the microbase parameterizations to address issues we observed in our initial analysis of the tropical data. The merged sounding product is not directly related to the product developed by ARM but is similar in that it uses the microwave radiometer to scale the radiosonde column water vapor. The radiative fluxes also differ from the ARM BBHRP (Broadband Heating Rate Profile) product in terms of the radiative transfer model and the sampling interval.

  12. Tropical Cloud Properties and Radiative Heating Profiles

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

    Mather, James

    We have generated a suite of products that includes merged soundings, cloud microphysics, and radiative fluxes and heating profiles. The cloud microphysics is strongly based on the ARM Microbase value added product (Miller et al., 2003). We have made a few changes to the microbase parameterizations to address issues we observed in our initial analysis of the tropical data. The merged sounding product is not directly related to the product developed by ARM but is similar in that it uses the microwave radiometer to scale the radiosonde column water vapor. The radiative fluxes also differ from the ARM BBHRP (Broadband Heating Rate Profile) product in terms of the radiative transfer model and the sampling interval.

  13. 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

  14. Posters Ship-Based Measurements of Cloud Optical Properties

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

    7 Posters Ship-Based Measurements of Cloud Optical Properties During the Atlantic Stratocumulus Transition Experiment A. B. White Cooperative Institute for Research in Environmental Sciences University of Colorado at Boulder National Oceanic and Atmospheric Administration Boulder, Colorado C. W. Fairall National Oceanic and Atmospheric Administration Environmental Research Laboratories Environmental Technology Laboratory Boulder, Colorado Introduction The Atlantic Stratocumulus Transition

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

    Office of Scientific and Technical Information (OSTI)

    A 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 ...

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

    SciTech Connect (OSTI)

    Wang, Zhien

    2006-01-04

    The project is concerned with the characterization of cloud macrophysical and microphysical properties by combining radar, lidar, and radiometer measurements available from the U.S. Department of Energy's ARM Climate Research Facility (ACRF). To facilitate the production of integrated cloud product by applying different algorithms to the ARM data streams, an advanced cloud classification algorithm was developed to classified clouds into eight types at the SGP site based on ground-based active and passive measurements. Cloud type then can be used as a guidance to select an optimal retrieval algorithm for cloud microphysical property retrieval. The ultimate goal of the effort is to develop an operational cloud classification algorithm for ARM data streams. The vision 1 IDL code of the cloud classification algorithm based on the SGP ACRF site observations was delivered to the ARM cloud translator during 2004 ARM science team meeting. Another goal of the project is to study midlevel clouds, especially mixed-phase clouds, by developing new retrieval algorithms using integrated observations at the ACRF sites. Mixed-phase clouds play a particular role in the Arctic climate system. A multiple remote sensor based algorithm, which can provide ice water content and effective size profiles, liquid water path, and layer-mean effective radius of water droplet, was developed to study arctic mixed-phase clouds. The algorithm is applied to long-term ARM observations at the NSA ACRF site. Based on these retrieval results, we are studying seasonal and interannual variations of arctic mixed-phase cloud macro- and micro-physical properties.

  17. Microphysical Properties of Single and Mixed-Phase Arctic Clouds Derived from AERI Observations

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

    Microphysical Properties of Single and Mixed-Phase Arctic Clouds Derived from AERI Observations D. D. Turner University of Wisconsin-Madison Madison, Wisconsin and Pacific Northwest National Laboratory Richland, Washington Abstract A novel new approach to retrieve cloud microphysical properties from mixed-phase clouds is presented. This algorithm retrieves cloud optical depth, ice fraction, and the effective size of the water and ice particles from ground-based, high-resolution infrared radiance

  18. Lab Astrophysics

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

    lab astrophysics Lab Astrophysics NIF experiments support studies relevant to the entire lifecycle of a star, from its formation from cold gas in molecular clouds, through its subsequent slow evolution, and on to what might be a rapid, explosive death. To determine a star's structure throughout the various stages of its life, astrophysicists need NIF's ability to mimic the temperatures (10 to 30 million kelvins or 18 to 54 million degrees Fahrenheit) found in stars' cores. One astrophysics

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

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

    Derivation of Seasonal Cloud Properties at ARM-NSA from Multispectral MODIS Data D. A. ... over the Atmospheric Radiation Measurement (ARM) North Slope of Alaska (NSA) Barrow site. ...

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

    Office of Scientific and Technical Information (OSTI)

    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 ...

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

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

    ProductsCloud Properties and Radiative Heating Rates for TWP 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 PI Product : Cloud Properties and Radiative Heating Rates for TWP 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

  2. Systematic Flights Obtain Long-Term Data Set of Cloud Properties

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

    instrumentation to complete routine flights over the SGP site and obtain representative statistics of cloud microphysical, aerosol, and radiative properties of the atmosphere. ...

  3. 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...

  4. Posters Diagnostic Analysis of Cloud Radiative Properties R.C...

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

    are extremely sensitive to parameterizations of certain poorly understood physical processes, most notably cloud-radiation interactions. As a result, models with different...

  5. Cloud Optical Properties from the Multi-Filter Shadowband Radiometer...

    Office of Scientific and Technical Information (OSTI)

    public from the National Technical Information Service, Springfield, VA at www.ntis.gov. ... depths larger than approximately 7. The retrieval assumes a single cloud layer consisting ...

  6. The Radiative Properties of Small Clouds: Multi-Scale Observations...

    Office of Scientific and Technical Information (OSTI)

    characterize shallow clouds and the role of aerosol in modifying their radiative effects. ... Sponsoring Org: USDOE Country of Publication: United States Language: English Subject: 54 ...

  7. Use of In Situ Observations to Characterize Cloud Microphysical and Radiative Properties: Application to Climate Studies

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

    Use of In Situ Observations to Characterize Cloud Microphysical and Radiative Properties: Application to Climate Studies G. M. McFarquhar and T. Nousiainen Department of Atmospheric Sciences University of Illinois Urbana, Illinois M. S. Timlin, S. F. Iacobellis, and R. C. J. Somerville Scripps Institution of Oceanography La Jolla, California Introduction Cloud radiative feedback is the most important effect determining climate response to human activity. Ice clouds reflect solar radiation and

  8. 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.

  9. Arctic Mixed-Phase Cloud Properties from AERI Lidar Observations: Algorithm and Results from SHEBA

    SciTech Connect (OSTI)

    Turner, David D.

    2005-04-01

    A new approach to retrieve microphysical properties from mixed-phase Arctic clouds is presented. This mixed-phase cloud property retrieval algorithm (MIXCRA) retrieves cloud optical depth, ice fraction, and the effective radius of the water and ice particles from ground-based, high-resolution infrared radiance and lidar cloud boundary observations. The theoretical basis for this technique is that the absorption coefficient of ice is greater than that of liquid water from 10 to 13 ?m, whereas liquid water is more absorbing than ice from 16 to 25 ?m. MIXCRA retrievals are only valid for optically thin (?visible < 6) single-layer clouds when the precipitable water vapor is less than 1 cm. MIXCRA was applied to the Atmospheric Emitted Radiance Interferometer (AERI) data that were collected during the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment from November 1997 to May 1998, where 63% of all of the cloudy scenes above the SHEBA site met this specification. The retrieval determined that approximately 48% of these clouds were mixed phase and that a significant number of clouds (during all 7 months) contained liquid water, even for cloud temperatures as low as 240 K. The retrieved distributions of effective radii for water and ice particles in single-phase clouds are shown to be different than the effective radii in mixed-phase clouds.

  10. FINAL REPORT: An Investigation of the Microphysical, Radiative, and Dynamical Properties of Mixed-Phase Clouds

    SciTech Connect (OSTI)

    Shupe, Matthew D

    2007-10-01

    This final report summarizes the major accomplishments and products resulting from a three-year grant funded by the DOE, Office of Science, Atmospheric Radiation Measurement Program titled: An Investigation of the Microphysical, Radiative, and Dynamical Properties of Mixed-Phase Clouds. Accomplishments are listed under the following subcategories: Mixed-phase cloud retrieval method development; Mixed-phase cloud characterization; ARM mixed-phase cloud retrieval review; and New ARM MICROBASE product. In addition, lists are provided of service to the Atmospheric Radiation Measurement Program, data products provided to the broader research community, and publications resulting from this grant.

  11. 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

  12. Microphysical Properties of Single and Mixed-Phase Arctic Clouds Derived from AERI Observations

    SciTech Connect (OSTI)

    Turner, David D.

    2003-06-01

    A novel new approach to retrieve cloud microphysical properties from mixed-phase clouds is presented. This algorithm retrieves cloud optical depth, ice fraction, and the effective size of the water and ice particles from ground-based, high-resolution infrared radiance observations. The theoretical basis is that the absorption coefficient of ice is stronger than that of liquid water from 10-13 mm, whereas liquid water is more absorbing than ice from 16-25 um. However, due to strong absorption in the rotational water vapor absorption band, the 16-25 um spectral region becomes opaque for significant water vapor burdens (i.e., for precipitable water vapor amounts over approximately 1 cm). The Arctic is characterized by its dry and cold atmosphere, as well as a preponderance of mixed-phase clouds, and thus this approach is applicable to Arctic clouds. Since this approach uses infrared observations, cloud properties are retrieved at night and during the long polar wintertime period. The analysis of the cloud properties retrieved during a 7 month period during the Surface Heat Budget of the Arctic (SHEBA) experiment demonstrates many interesting features. These results show a dependence of the optical depth on cloud phase, differences in the mode radius of the water droplets in liquid-only and mid-phase clouds, a lack of temperature dependence in the ice fraction for temperatures above 240 K, seasonal trends in the optical depth with the clouds being thinner in winter and becoming more optically thick in the late spring, and a seasonal trend in the effective size of the water droplets in liquid-only and mixed-phase clouds that is most likely related to aerosol concentration.

  13. Observations of regional and local variability in the optical properties of maritime clouds

    SciTech Connect (OSTI)

    White, A.B.

    1996-04-01

    White and Fairall (1995) calculated the optical properties of the marine boundary layer (MBL) clouds observed during the Atlantic Stratocumulus Transition Experiment (ASTEX) and compared their results with the results obtained by Fairall et al. for the MBL clouds observed during the First International Satellite Climatology Program (ISSCP) Regional Experiment (FIRE). They found a factor of two difference in the optical depth versus liquid water relationship that applies to the clouds observed in each case. In the present study, we present evidence to support this difference. We also investigate the local variability exhibited in the ASTEX optical properties using measurements of the boundary layer aerosol concentration.

  14. Coupling Between Oceanic Upwelling and Cloud-aerosol Properties at the AMF Point Reyes Site

    SciTech Connect (OSTI)

    Dunn, M.; Jensen, M.; Miller, M.; Kollias, P.; Bartholomew, M. J.; Turner, D.; Andrews, E.; Jefferson, A.; Daum, P.

    2008-03-10

    Cloud microphysical properties measured at the ARM Mobile Facility site located on the northern coast of California near Point Reyes, during the 2005 Marine Stratus Radiation, Aerosol and Drizzle experiment, were analyzed to determine their relationship to the coastal sea surface temperature (SST) which was characterized using measurements acquired from a National Oceanic and Atmospheric Administration offshore buoy. An increase in SST resulting from a relaxation of upwelling, occurring in the eastern Pacific Ocean off the coast of California in summer is observed to strongly correlate with nearby ground measured cloud microphysical properties and cloud condensation nuclei (CCN) concentrations. Correlations between these atmospheric and oceanic features provide insight into the interplay between the ocean and cloud radiative properties. We present evidence of this robust correlation and examine the factors controlling these features. The marine boundary layer is in direct contact with the sea surface and is strongly influenced by SST. Moisture and vertical motion are crucial ingredients for cloud development and so we examine the role of SST in providing these key components to the atmosphere. Although upwelling of cold subsurface waters is conventionally thought to increase aerosols in the region, thus increasing clouds, here we observed a relaxation of upwelling associated with changes in the structure of marine stratus clouds. As upwelling relaxes, the SST get warmer, thick clouds with high liquid water paths are observed and persist for a few days. This cycle is repeated throughout the summer upwelling season. A concomitant cyclic increase and decrease of CCN concentration is also observed. Forcing mechanisms and large-scale atmospheric features are discussed. Marine stratocumulus clouds are a critical component of the earth's radiation budget and this site provides an excellent opportunity to study the influence of SST on these clouds.

  15. Computation of Domain-Averaged Irradiance with a Simple Two-Stream Radiative Transfer Model Including Vertical Cloud Property Correlations

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

    Computation of Domain-Averaged Irradiance with a Simple Two-Stream Radiative Transfer Model Including Vertical Cloud Property Correlations S. Kato Center for Atmospheric Sciences Hampton University Hampton, Virginia Introduction Recent development of remote sensing instruments by Atmospheric Radiation Measurement (ARM?) Program provides information of spatial and temporal variability of cloud structures. However it is not clear what cloud properties are required to express complicated cloud

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

    SciTech Connect (OSTI)

    Turner, D. D.; McFarlane, S. A.; 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.

  17. Properties of the electron cloud in a high-energy positron and electron storage ring

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

    Harkay, K. C.; Rosenberg, R. A.

    2003-03-20

    Low-energy, background electrons are ubiquitous in high-energy particle accelerators. Under certain conditions, interactions between this electron cloud and the high-energy beam can give rise to numerous effects that can seriously degrade the accelerator performance. These effects range from vacuum degradation to collective beam instabilities and emittance blowup. Although electron-cloud effects were first observed two decades ago in a few proton storage rings, they have in recent years been widely observed and intensely studied in positron and proton rings. Electron-cloud diagnostics developed at the Advanced Photon Source enabled for the first time detailed, direct characterization of the electron-cloud properties in amore » positron and electron storage ring. From in situ measurements of the electron flux and energy distribution at the vacuum chamber wall, electron-cloud production mechanisms and details of the beam-cloud interaction can be inferred. A significant longitudinal variation of the electron cloud is also observed, due primarily to geometrical details of the vacuum chamber. Furthermore, such experimental data can be used to provide realistic limits on key input parameters in modeling efforts, leading ultimately to greater confidence in predicting electron-cloud effects in future accelerators.« less

  18. 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...

  19. Observed and Simulated Cirrus Cloud Properties at the SGP CART Site

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

    and Simulated Cirrus Cloud Properties at the SGP CART Site A. D. Del Genio and A. B. Wolf National Aeronautics and Space Administration Goddard Institute for Space Studies New York, New York G. G. Mace University of Utah Salt Lake City, Utah Introduction Despite their potential importance in a long-term climate change, less is known about cirrus clouds than most other cloud types, for a variety of reasons (Del Genio 2001) including: (1) the difficulty of remotely sensing ice water content (IWC),

  20. 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

  1. Comparison of Cirrus Cloud Radiative Properties and Dynamical Processes at Two Atmospheric Radiation Measurement (ARM) Si...

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

    Cirrus Cloud Radiative Properties and Dynamical Processes at Two Atmospheric Radiation Measurement Sites in the Tropical Western Pacific J. M. Comstock, J. H. Mather, and T. P. Ackerman Pacific Northwest National Laboratory Richland, Washington Introduction Upper tropospheric humidity plays an important role in the formation and maintenance of tropical cirrus clouds. Deep convection is crucial for the transport of water vapor from the boundary layer to the upper troposphere and is

  2. DOE/SC-ARM-10-021 STORMVEX: The Storm Peak Lab Cloud Property...

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

    ... Observing System ARM Atmospheric Radiation Measurement ... thermometer IWC ice water content JPL Jet Propulsion ... around the area (e.g., weekly testing of diesel generators). ...

  3. Precipitating clouds

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

    A suggestion for a new focus on cloud microphysical process study in the ARM program 1. Retrieving precipitating mixed- phase cloud properties Zhien Wang University of Wyoming zwang@uwyo.edu Retrieving Precipitating Mixed-phase Cloud Properties Global distribution of supercooled water topped stratiform clouds (top > 1 km and length> 14km) Most of them are mixed-phase with precipitation or virga An multiple sensor based approach to provide water phase as well as ice phase properties

  4. ARM - Field Campaign - Cirrus Clouds and Aerosol Properties Campaign

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

    Lead Scientist : Shadrian Strong For data sets, see below. Abstract Through the National Geospatial-Intelligence Agency Characterization of Cirrus and Aerosol Properties (CCAP) ...

  5. Evaluating Global Aerosol Models and Aerosol and Water Vapor Properties Near Clouds

    SciTech Connect (OSTI)

    Richard A. Ferrare; David D. Turner

    2011-09-01

    Project goals: (1) Use the routine surface and airborne measurements at the ARM SGP site, and the routine surface measurements at the NSA site, to continue our evaluations of model aerosol simulations; (2) Determine the degree to which the Raman lidar measurements of water vapor and aerosol scattering and extinction can be used to remotely characterize the aerosol humidification factor; (3) Use the high temporal resolution CARL data to examine how aerosol properties vary near clouds; and (4) Use the high temporal resolution CARL and Atmospheric Emitted Radiance Interferometer (AERI) data to quantify entrainment in optically thin continental cumulus clouds.

  6. Observed correlations between aerosol and cloud properties in an Indian Ocean trade cumulus regime

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

    Pistone, Kristina; Praveen, Puppala S.; Thomas, Rick M.; Ramanathan, Veerabhadran; Wilcox, Eric M.; Bender, Frida A.-M.

    2016-04-27

    There are many contributing factors which determine the micro- and macrophysical properties of clouds, including atmospheric vertical structure, dominant meteorological conditions, and aerosol concentration, all of which may be coupled to one another. In the quest to determine aerosol effects on clouds, these potential relationships must be understood. Here we describe several observed correlations between aerosol conditions and cloud and atmospheric properties in the Indian Ocean winter monsoon season.In the CARDEX (Cloud, Aerosol, Radiative forcing, Dynamics EXperiment) field campaign conducted in February and March 2012 in the northern Indian Ocean, continuous measurements were made of atmospheric precipitable water vapor (PWV)more » and the liquid water path (LWP) of trade cumulus clouds, concurrent with measurements of water vapor flux, cloud and aerosol vertical profiles, meteorological data, and surface and total-column aerosol from instrumentation at a ground observatory and on small unmanned aircraft. We present observations which indicate a positive correlation between aerosol and cloud LWP only when considering cases with low atmospheric water vapor (PWV < 40 kg m–2), a criterion which acts to filter the data to control for the natural meteorological variability in the region.We then use the aircraft and ground-based measurements to explore possible mechanisms behind this observed aerosol–LWP correlation. The increase in cloud liquid water is found to coincide with a lowering of the cloud base, which is itself attributable to increased boundary layer humidity in polluted conditions. High pollution is found to correlate with both higher temperatures and higher humidity measured throughout the boundary layer. A large-scale analysis, using satellite observations and meteorological reanalysis, corroborates these covariations: high-pollution cases are shown to originate as a highly polluted boundary layer air mass approaching the observatory from a

  7. “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.

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

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

    Satellite and Surface Data Synergy for Developing a 3D Cloud Structure and Properties Characterization Over the ARM SGP Site Stage 1: Cloud Amounts, Optical Depths, and Cloud Heights Reconciliation I. Genkova and C. N. Long Pacific Northwest National Laboratory Richland, Washington P. W. Heck Analytical Services & Materials, Inc. Hampton, Virginia P. Minnis National Aeronautics and Space Administration Langley Research Center Hampton, Virginia Introduction One of the primary Atmospheric

  9. Evaluation of Tropical Cirrus Cloud Properties and Dynamical Processes Derived from ECMWF Model Output and Ground Based Mea...

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

    Tropical Cirrus Cloud Properties and Dynamical Processes Derived from ECMWF Model Output and Ground-Based Measurements Over Nauru Island J. M. Comstock and J. H. Mather Pacific Northwest National Laboratory Richland, Washington C. Jakob Bureau of Meteorology Research Centre Melbourne, Australia Introduction Identifying the mechanisms responsible for the formation of cirrus clouds is important in understanding the role of cirrus in the tropical atmosphere. Thin cirrus clouds near the tropical

  10. A comparison of cloud properties at a coastal and inland site...

    Office of Scientific and Technical Information (OSTI)

    have examined differences in cloud liquid water paths (LWPs) at a coastal (Barrow) and an ... KEYWORDS: arctic clouds, cloud liquid water, microwave radiometer, ECMWF model, ...

  11. Cloud Properties Derived from Visible and Near-infrared Reflectance in the

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

    Presence of Aerosols Cloud Properties Derived from Visible and Near-infrared Reflectance in the Presence of Aerosols Hofmann, Odele University of Colorado at Boulder Pilewskie, Peter University of Colorado Gore, Warren NASA Ames Research Center Russell, Phil NASA Ames Research Center Livingston, John SRI International Redemann, Jens BAERI/NASA Ames Research Center Bergstrom, Robert Bay Area Environmental Research Institute Platnick, Steven NASA-GSFC Daniel, John NOAA Aeronomy Laboratory

  12. Roles of Wind Shear at Different Vertical Levels, Part I: Cloud System Organization and Properties

    SciTech Connect (OSTI)

    Chen, Qian; Fan, Jiwen; Hagos, Samson M.; Gustafson, William I.; Berg, Larry K.

    2015-07-16

    Understanding of critical processes that contribute to the organization of mesoscale convective systems is important for accurate weather forecast and climate prediction. In this study, we investigate the effects of wind shear at different vertical levels on the organization and properties of cloud systems using the Weather Research & Forecasting (WRF) model with a spectral-bin microphysical scheme. The sensitivity experiments are performed by increasing wind shear at the lower (0-5 km), middle (5-10 km), upper (> 10 km) and the entire troposphere, respectively, based on a control run for a mesoscale convective system (MCS) with weak wind shear. We find that increasing wind shear at the both lower and middle vertical levels reduces the domain-accumulated precipitation and the occurrence of heavy rain, while increasing wind shear at the upper levels changes little on precipitation. Although increasing wind shear at the lower-levels is favorable for a more organized quasi-line system which leads to enlarged updraft core area, and enhanced updraft velocities and vertical mass fluxes, the precipitation is still reduced by 18.6% compared with the control run due to stronger rain evaporation induced by the low-level wind shear. Strong wind shear in the middle levels only produces a strong super-cell over a narrow area, leading to 67.3% reduction of precipitation over the domain. By increasing wind shear at the upper levels only, the organization of the convection is not changed much, but the increased cloudiness at the upper-levels leads to stronger surface cooling and then stabilizes the atmosphere and weakens the convection. When strong wind shear exists over the entire vertical profile, a deep dry layer (2-9 km) is produced and convection is severely suppressed. There are fewer very-high (cloud top height (CTH) > 15 km) and very-deep (cloud thickness > 15 km) clouds, and the precipitation is only about 11.8% of the control run. The changes in cloud microphysical

  13. 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...

  14. Jefferson Lab Director | Jefferson Lab

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

    Jefferson Lab Director Dr. Hugh E. Montgomery is the Director of the Thomas Jefferson National Accelerator Facility (Jefferson Lab). As the lab's chief executive officer, he is responsible for ensuring funding for the lab and for setting policy and program direction. In addition, he oversees the delivery of the lab program and ensures that Jefferson Lab complies with all regulations, laws and contract requirements. Montgomery also is responsible for developing and ensuring relationships with

  15. Search Jefferson Lab | Jefferson Lab

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

    Search Jefferson Lab Arial view of Jefferson Lab Phone Book A-Z Index Departments Search the JLab Web Site Search Search

  16. Evaluating Global Aerosol Models and Aerosol and Water Vapor Properties Near Clouds

    SciTech Connect (OSTI)

    Turner, David, D.; Ferrare, Richard, A.

    2011-07-06

    The 'Evaluating Global Aerosol Models and Aerosol and Water Vapor Properties Near Clouds' project focused extensively on the analysis and utilization of water vapor and aerosol profiles derived from the ARM Raman lidar at the Southern Great Plains ARM site. A wide range of different tasks were performed during this project, all of which improved quality of the data products derived from the lidar or advanced the understanding of atmospheric processes over the site. These activities included: upgrading the Raman lidar to improve its sensitivity; participating in field experiments to validate the lidar aerosol and water vapor retrievals; using the lidar aerosol profiles to evaluate the accuracy of the vertical distribution of aerosols in global aerosol model simulations; examining the correlation between relative humidity and aerosol extinction, and how these change, due to horizontal distance away from cumulus clouds; inferring boundary layer turbulence structure in convective boundary layers from the high-time-resolution lidar water vapor measurements; retrieving cumulus entrainment rates in boundary layer cumulus clouds; and participating in a field experiment that provided data to help validate both the entrainment rate retrievals and the turbulent profiles derived from lidar observations.

  17. Macrophysical and optical properties of midlatitude cirrus clouds from four ground-based lidars and collocated CALIOP observations

    SciTech Connect (OSTI)

    Dupont, Jean-Charles; Haeffelin, M.; Morille, Y.; Noel, V.; Keckhut, P.; Winker, D.; Comstock, Jennifer M.; Chervet, P.; Roblin, A.

    2010-05-27

    Ground-based lidar and CALIOP datasets gathered over four mid-latitude sites, two US and two French sites, are used to evaluate the consistency of cloud macrophysical and optical property climatologies that can be derived by such datasets. The consistency in average cloud height (both base and top height) between the CALIOP and ground datasets ranges from -0.4km to +0.5km. The cloud geometrical thickness distributions vary significantly between the different datasets, due in part to the original vertical resolutions of the lidar profiles. Average cloud geometrical thicknesses vary from 1.2 to 1.9km, i.e. by more than 50%. Cloud optical thickness distributions in subvisible, semi-transparent and moderate intervals differ by more than 50% between ground and space-based datasets. The cirrus clouds with 2 optical thickness below 0.1 (not included in historical cloud climatologies) represent 30-50% of the non-opaque cirrus class. The differences in average cloud base altitude between ground and CALIOP datasets of 0.0-0.1 km, 0.0-0.2 km and 0.0-0.2 km can be attributed to irregular sampling of seasonal variations in the ground-based data, to day-night differences in detection capabilities by CALIOP, and to the restriction to situations without low-level clouds in ground-based data, respectively. The cloud geometrical thicknesses are not affected by irregular sampling of seasonal variations in the ground-based data, while up to 0.0-0.2 km and 0.1-0.3 km differences can be attributed to day-night differences in detection capabilities by CALIOP, and to the restriction to situations without lowlevel clouds in ground-based data, respectively.

  18. 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.

  19. 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...

  20. Macrophysical Properties of Tropical Cirrus Clouds from the CALIPSO Satellite and from Ground-based Micropulse and Raman Lidars

    SciTech Connect (OSTI)

    Thorsen, Tyler J.; Fu, Qiang; Comstock, Jennifer M.; Sivaraman, Chitra; Vaughan, Mark A.; Winker, D.; Turner, David D.

    2013-08-27

    Lidar observations of cirrus cloud macrophysical properties over the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program Darwin, Australia site are compared from the Cloud-Aerosol Lidar and In- frared Pathfinder Satellite Observation (CALIPSO) satellite, the ground-based ARM micropulse lidar (MPL), and the ARM Raman lidar (RL). Comparisons are made using the subset of profiles where the lidar beam is not fully attenuated. Daytime measurements using the RL are shown to be relatively unaffected by the solar background and are therefore suited for checking the validity of diurnal cycles. RL and CALIPSO cloud fraction profiles show good agreement while the MPL detects significantly less cirrus, particularly during the daytime. Both MPL and CALIPSO observations show that cirrus clouds occur less frequently during the day than at night at all altitudes. In contrast, the RL diurnal cy- cle is significantly different than zero only below about 11 km; where it is the opposite sign (i.e. more clouds during the daytime). For cirrus geomet- rical thickness, the MPL and CALIPSO observations agree well and both datasets have signficantly thinner clouds during the daytime than the RL. From the examination of hourly MPL and RL cirrus cloud thickness and through the application of daytime detection limits to all CALIPSO data we find that the decreased MPL and CALIPSO cloud thickness during the daytime is very likely a result of increased daytime noise. This study highlights the vast im- provement the RL provides (compared to the MPL) in the ARM program's ability to observe tropical cirrus clouds as well as a valuable ground-based lidar dataset for the validation of CALIPSO observations and to help im- prove our understanding of tropical cirrus clouds.

  1. The Mass Distribution and Assembly of the Milky Way from the Properties of the Magellanic Clouds

    SciTech Connect (OSTI)

    Busha, Michael T.; Marshall, Philip J.; Wechsler, Risa H.; Klypin, Anatoly; Primack, Joel; /UC, Santa Cruz, Phys. Dept.

    2012-02-29

    We present a new measurement of the mass of the Milky Way (MW) based on observed properties of its largest satellite galaxies, the Magellanic Clouds (MCs), and an assumed prior of a {Lambda}CDM universe. The large, high-resolution Bolshoi cosmological simulation of this universe provides a means to statistically sample the dynamical properties of bright satellite galaxies in a large population of dark matter halos. The observed properties of the MCs, including their circular velocity, distance from the center of the MW, and velocity within the MW halo, are used to evaluate the likelihood that a given halo would have each or all of these properties; the posterior probability distribution function (PDF) for any property of the MW system can thus be constructed. This method provides a constraint on the MW virial mass, 1.2{sup +0.7} - {sub 0.4}(stat.){sup +0.3} - {sub 0.3}(sys.) x 10{sup 12} M {circle_dot} (68% confidence), which is consistent with recent determinations that involve very different assumptions. In addition, we calculate the posterior PDF for the density profile of the MW and its satellite accretion history. Although typical satellites of 10{sup 12} M {circle_dot} halos are accreted over a wide range of epochs over the last 10 Gyr, we find a {approx}72% probability that the MCs were accreted within the last Gyr, and a 50% probability that they were accreted together.

  2. Berkeley Lab

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

    Berkeley Lab Scientists Teach Bacterium a New Trick for Artificial Photosynthesis http:www.lbl.gov20160108berkeley-lab-scientists-teach-bacterium-a-new-trick-for-artificial-p...

  3. The Lab

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

    The Lab The Lab Images of the Lab's world-class facilities and buildings. News Releases Science Briefs Photos Picture of the Week Publications Social Media Videos Fact Sheets PHOTOS BY TOPIC Careers Community Visitors Environment History Science The Lab Click thumbnails to enlarge. Photos arranged by most recent first, horizontal formats before vertical. See Flickr for more sizes and details. LANL buildings at Technical Area 3 LANL buildings at Technical Area 3 Technical Area 3 early morning

  4. About Jefferson Lab | Jefferson Lab

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

    Jefferson Lab Experiments carried out at Jefferson Lab probe the building blocks of matter - helping us to better understand these particles and the forces that bind them - and ultimately our world. Experiments carried out at Jefferson Lab probe the building blocks of matter - helping us to better understand these particles and the forces that bind them - and ultimately our world. Thomas Jefferson National Accelerator Facility (Jefferson Lab) is one of 17 national laboratories funded by the U.S.

  5. JEFFERSON LAB RESOURCES | Jefferson Lab

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

    JEFFERSON LAB RESOURCES Jefferson Lab&#39;s accelerator is operated from the Machine Control Center. The MCC features a full-wall display that allows operators to monitor every function of the accelerator and to make adjustments as needed. Jefferson Lab's accelerator is operated from the Machine Control Center. The MCC features a full-wall display that allows operators to monitor every function of the accelerator and to make adjustments as needed. Founded in 1985, Jefferson Lab is a

  6. Lab Plan | The Ames Laboratory

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

    Lab Plan Ames Laboratory

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

    SciTech Connect (OSTI)

    Turner, David D.; Ferrare, Richard

    2015-01-13

    The systematic and routine measurements of aerosol, water vapor, and clouds in the vertical column above the Atmospheric Radiation Measurement (ARM) sites from surface-based remote sensing systems provides a unique and comprehensive data source that can be used to characterize the boundary layer (i.e., the lowest 3 km of the atmosphere) and its evolution. New algorithms have been developed to provide critical datasets from ARM instruments, and these datasets have been used in long-term analyses to better understand the climatology of water vapor and aerosol over Darwin, the turbulent structure of the boundary layer and its statistical properties over Oklahoma, and to better determine the distribution of ice and aerosol particles over northern Alaska.

  8. Jefferson Lab Photos | Jefferson Lab

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

    Jefferson Lab Photos Images on the Jefferson Lab website that are in the public domain may be used without permission. If you use images from the Jefferson Lab website, it is requested that you credit Jefferson Lab as the source, unless an image is used in an advertisement. As a courtesy, you can also inform Jefferson Lab of your intended use of a photo by sending an e-mail to jlabinfo@jlab.org. Please note that some images on the website may have been obtained from other organizations and will

  9. Jefferson Lab Publications

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

    Publications Privacy and Security Notice Skip over navigation Search the JLab Site Search Please upgrade your browser. This site's design is only visible in a graphical browser that supports web standards, but its content is accessible to any browser. Concerns? Jefferson Lab Navigation Home Search News Insight print version Research Publications Application On Target Newsletter EHS Manual Property Manual JSA/DOE Contract Acquisition Policy Manual Acquisition Policy Manual Jefferson Lab

  10. Jefferson Lab Disclaimer

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    Jefferson Lab Disclaimer Jefferson Lab Home Search Contact JLab Privacy and Security Notice Security Notice This is a Federal computer system and is the property of the United States Government. It is for authorized use only. Users (authorized or unauthorized) have no explicit or implicit expectation of privacy. Any or all uses of this system, associated connected systems and all files may be intercepted, monitored, recorded, copied, audited, inspected, and disclosed to authorized site,

  11. Facilities Management | Jefferson Lab

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

    Facilities Management Facilities Management & Logistics is responsible for performing or specifying performance of all Jefferson Lab facility maintenance, construction, security, property, and facility services. The lab's 206-acre campus includes 169 acres owned by the U.S. Department of Energy and 37 acres owned by the Southeast Universities Research Association. In addition, the Commonwealth of Virginia owns an 8-acre parcel referred to as the Virginia Associated Research Campus (VARC)

  12. Berkeley Lab

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    Berkeley Lab masthead U.S. Department of Energy logo Phone Book Jobs Search sun abstract Helios logo Overview Goals & Challenges Publications Research Highlights In the News SERC...

  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 - 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...

  15. A Sensitivity Analysis of Cloud Properties to CLUBB Parameters in the Single-Column Community Atmosphere Model (SCAM5)

    SciTech Connect (OSTI)

    Guo, Zhun; Wang, Minghuai; Qian, Yun; Larson, Vincent E.; Ghan, Steven J.; Ovchinnikov, Mikhail; Bogenschutz, Peter; Zhao, Chun; Lin, Guang; Zhou, Tianjun

    2014-09-01

    In this study, we investigate the sensitivity of simulated shallow cumulus and stratocumulus clouds to selected tunable parameters of Cloud Layers Unified by Binormals (CLUBB) in the single column version of Community Atmosphere Model version 5 (SCAM5). A quasi-Monte Carlo (QMC) sampling approach is adopted to effectively explore the high-dimensional parameter space and a generalized linear model is adopted to study the responses of simulated cloud fields to tunable parameters. One stratocumulus and two shallow convection cases are configured at both coarse and fine vertical resolutions in this study.. Our results show that most of the variance in simulated cloud fields can be explained by a small number of tunable parameters. The parameters related to Newtonian and buoyancy-damping terms of total water flux are found to be the most influential parameters for stratocumulus. For shallow cumulus, the most influential parameters are those related to skewness of vertical velocity, reflecting the strong coupling between cloud properties and dynamics in this regime. The influential parameters in the stratocumulus case are sensitive to the choice of the vertical resolution while little sensitivity is found for the shallow convection cases, as eddy mixing length (or dissipation time scale) plays a more important role and depends more strongly on the vertical resolution in stratocumulus than in shallow convections. The influential parameters remain almost unchanged when the number of tunable parameters increases from 16 to 35. This study improves understanding of the CLUBB behavior associated with parameter uncertainties.

  16. Reminder: Jefferson Lab Shipment Import and Export Requirements | Jefferson

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

    Lab Reminder: Jefferson Lab Shipment Import and Export Requirements Reminder: Jefferson Lab Shipment Import and Export Requirements For any shipment being imported to Jefferson Lab, it is mandatory that the lab's customs broker, Team Worldwide, be contacted by the vendors' shipper to arrange all shipping from their facility to the lab (Team Worldwide contact information is listed below). Contacting Jefferson Lab's customs broker will save time and facilitate movement of the property to

  17. The Radiative Properties of Small Clouds: Multi-Scale Observations and Modeling

    SciTech Connect (OSTI)

    Feingold, Graham; McComiskey, Allison

    2013-09-25

    Warm, liquid clouds and their representation in climate models continue to represent one of the most significant unknowns in climate sensitivity and climate change. Our project combines ARM observations, LES modeling, and satellite imagery to characterize shallow clouds and the role of aerosol in modifying their radiative effects.

  18. Improvement in Clouds and the Earth's Radiant Energy System/Surface and Atmosphere Radiation Budget Dust Aerosol Properties, Effects on Surface Validation of Clouds and Radiative Swath

    SciTech Connect (OSTI)

    Rutan, D.; Rose, F.; Charlock, T.P.

    2005-03-18

    Within the Clouds and the Earth's Radiant Energy System (CERES) science team (Wielicki et al. 1996), the Surface and Atmospheric Radiation Budget (SARB) group is tasked with calculating vertical profiles of heating rates, globally, and continuously, beneath CERES footprint observations of Top of Atmosphere (TOA) fluxes. This is accomplished using a fast radiative transfer code originally developed by Qiang Fu and Kuo-Nan Liou (Fu and Liou 1993) and subsequently highly modified by the SARB team. Details on the code and its inputs can be found in Kato et al. (2005) and Rose and Charlock (2002). Among the many required inputs is characterization of the vertical column profile of aerosols beneath each footprint. To do this SARB combines aerosol optical depth information from the moderate-resolution imaging spectroradiometer (MODIS) instrument along with aerosol constituents specified by the Model for Atmosphere and Chemical Transport (MATCH) of Collins et al. (2001), and aerosol properties (e.g. single scatter albedo and asymmetry parameter) from Tegen and Lacis (1996) and OPAC (Hess et al. 1998). The publicly available files that include these flux profiles, called the Clouds and Radiative Swath (CRS) data product, available from the Langley Atmospheric Sciences Data Center (http://eosweb.larc.nasa.gov/). As various versions of the code are completed, publishable results are named ''Editions.'' After CRS Edition 2A was finalized it was found that dust aerosols were too absorptive. Dust aerosols have subsequently been modified using a new set of properties developed by Andy Lacis and results have been released in CRS Edition 2B. This paper discusses the effects of changing desert dust aerosol properties, which can be significant for the radiation budget in mid ocean, a few thousand kilometers from the source regions. Resulting changes are validated via comparison of surface observed fluxes from the Saudi Solar Village surface site (Myers et al. 1999), and the E13 site

  19. Multivariate Spatio-Temporal Clustering of Times-Series Data: An Approach for Diagnosing Cloud Properties and Understandin...

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

    Multivariate Spatio-Temporal Clustering of Times-Series Data: An Approach for Diagnosing Cloud Properties and Understanding ARM Site Representativeness F. M. Hoffman and W. W. Hargrove Oak Ridge National Laboratory Oakridge, Tennessee A. D. Del Genio National Aeronautics and Space Administration Goddard Institute for Space Studies Columbia University, New York Multivariate Clustering A multivariate statistical clustering technique-based on the iterative k-means algorithm of Hartigan (Hartigan

  20. Berkeley Lab

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

    The Berkeley Lab Learning Institute (BLI) website is a resource with links to a wide range of online and offsite opportunities. The following pages provide links to internal and...

  1. Contact Jefferson Lab | Jefferson Lab

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

    Contact Jefferson Lab General Inquiries 757-269-7100 News Media Inquiries 757-269-7689 Security/Emergency 757-269-5822 Status Information 757-234-6236 Street Address 12000 Jefferson Avenue Newport News, VA 23606 E-Mail Address jlabinfo@jlab.org To search the lab's staff directory, click here. Contact Page Visiting researchers - dubbed Users - come from across the country and around the world to use the facilities at Jefferson Lab in order to carry out basic physics experiments. Additional Links

  2. Visiting Jefferson Lab | Jefferson Lab

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

    Visiting Jefferson Lab Jefferson Lab is located in Newport News on the southeastern coast of Virginia in an area known as Hampton Roads. Situated between Norfolk and Williamsburg, Newport News is easily accessible by air, automobile and train. Jefferson Lab is one of 17 national laboratories funded by the U.S. Department of Energy. It is a user facility, meaning its unique research tools are available to scientists and college students from around the world. Currently, more than 1,500 users are

  3. Postdocs - Berkeley Lab Postdoc Association

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

    Postdocs - Berkeley Lab Postdoc Association

  4. Jefferson Lab Video | Jefferson Lab

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

    Video To learn more about Jefferson Lab, its unique capabilities and its research, click on this link to watch a 12-minute video, Exploring the Nature of Matter. If you have more questions after watching the video, you can find more information by clicking one of the links or visiting our Brochures page. You can also visit the Resources section for more information. Particle Accelerator Modules Watch Jeffferson Lab's 12-minute video, Exploring the Nature of Matter. Additional Links Brochures

  5. Global Distribution and Climate Forcing of Marine Organic Aerosol - Part 2: Effects on Cloud Properties and Radiative Forcing

    SciTech Connect (OSTI)

    Gantt, Brett; Xu, Jun; Meskhidze, N.; Zhang, Yang; Nenes, Athanasios; Ghan, Steven J.; Liu, Xiaohong; Easter, Richard C.; Zaveri, Rahul A.

    2012-07-25

    A series of simulations with the Community Atmosphere Model version 5 (CAM5) with a 7-mode Modal Aerosol Model were conducted to assess the changes in cloud microphysical properties and radiative forcing resulting from marine organic aerosols. Model simulations show that the anthropogenic aerosol indirect forcing (AIF) predicted by CAM5 is decreased in absolute magnitude by up to 0.09 Wm{sup -2} (7 %) when marine organic aerosols are included. Changes in the AIF from marine organic aerosols are associated with small global increases in low-level incloud droplet number concentration and liquid water path of 1.3 cm{sup -3} (1.5 %) and 0.22 gm{sup -2} (0.5 %), respectively. Areas especially sensitive to changes in cloud properties due to marine organic aerosol include the Southern Ocean, North Pacific Ocean, and North Atlantic Ocean, all of which are characterized by high marine organic emission rates. As climate models are particularly sensitive to the background aerosol concentration, this small but non-negligible change in the AIF due to marine organic aerosols provides a notable link for ocean-ecosystem marine low-level cloud interactions and may be a candidate for consideration in future earth system models.

  6. 2012 - 07 | Jefferson Lab

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

    7 Jul 2012 Thu, 2012-07-19 15:00 Decadal Review of Nuclear Physics Tue, 2012-07-10 15:00 Policy Changes: Transport of Lab Property Across Site; Rules on Use of Motorized Carts Mon, 2012-07-09 15:00 JLab Cafeteria May Be Congested After 12pm, July 9-13 Mon, 2012-07-09 15:00 Department of Energy Sponsors Food Drive at JLab, Aug. 6-16 Sat, 2012-07-07 15:00 Jefferson Lab Mourns Passing of Hugh Loweth; Funeral is July 6 in Alexandria

  7. 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.

  8. Additional development of remote sensing techniques for observing morphology, microphysics, and radiative properties of clouds and tests using a new, robust CO{sub 2} lidar. Annual progress report, August 15, 1994--August 30, 1995

    SciTech Connect (OSTI)

    Eberhard, W.L.; Intrieri, J.M.; Brewer, W.A.

    1996-04-01

    The bulk morphology and microphysical characteristics of a cloud are both important in determining the cloud`s effect on radiative transfer. A better understanding of all these properties, and the links among them, are needed for developing adequate parameterizations of these components in climate models. The objective of this project is to develop remote sensing techniques for observing key cloud properties, including the linkages. The research has technique development and instrument development prongs.

  9. Evaluation of Mixed-Phase Cloud Microphysics Parameterizations...

    Office of Scientific and Technical Information (OSTI)

    the partitioning of condensed water into liquid droplets and ice crystals in these Arctic clouds, which affect modeled cloud phase, cloud lifetime and radiative properties. ...

  10. Jefferson Lab At A Glance | Jefferson Lab

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

    Jefferson Lab At A Glance Jefferson Lab was created to build and operate the Continuous Electron Beam Accelerator Facility, or CEBAF. Jefferson Lab is world-unique user facility for Nuclear Physics. Jefferson Lab's mission is to gain a deeper understanding of the structure of matter through advances in fundamental research in nuclear physics, and through advances in photon science and related research. Jefferson Lab began experiments is 1995 Jefferson Lab has 1,376 visiting scientists, or Users,

  11. THE HERSCHEL EXPLOITATION OF LOCAL GALAXY ANDROMEDA (HELGA). VI. THE DISTRIBUTION AND PROPERTIES OF MOLECULAR CLOUD ASSOCIATIONS IN M31

    SciTech Connect (OSTI)

    Kirk, J. M.; Gear, W. K.; Smith, M. W. L.; Ford, G.; Eales, S. A.; Gomez, H. L.; Fritz, J.; Baes, M.; De Looze, I.; Gentile, G.; Gordon, K.; Verstappen, J.; Viaene, S.; Bendo, G. J.; O'Halloran, B.; Madden, S. C.; Lebouteiller, V.; Boselli, A.; Cooray, A.; and others

    2015-01-01

    In this paper we present a catalog of giant molecular clouds (GMCs) in the Andromeda (M31) galaxy extracted from the Herschel Exploitation of Local Galaxy Andromeda (HELGA) data set. GMCs are identified from the Herschel maps using a hierarchical source extraction algorithm. We present the results of this new catalog and characterize the spatial distribution and spectral energy properties of its clouds based on the radial dust/gas properties found by Smith et al. A total of 326 GMCs in the mass range 10{sup 4}-10{sup 7} M {sub ☉} are identified; their cumulative mass distribution is found to be proportional to M {sup –2.34}, in agreement with earlier studies. The GMCs appear to follow the same correlation of cloud mass to L {sub CO} observed in the Milky Way. However, comparison between this catalog and interferometry studies also shows that the GMCs are substructured below the Herschel resolution limit, suggesting that we are observing associations of GMCs. Following Gordon et al., we study the spatial structure of M31 by splitting the observed structure into a set of spiral arms and offset rings. We fit radii of 10.3 and 15.5 kpc to the two most prominent rings. We then fit a logarithmic spiral with a pitch angle of 8.°9 to the GMCs not associated with either ring. Last, we comment on the effects of deprojection on our results and investigate the effect different models for M31's inclination will have on the projection of an unperturbed spiral arm system.

  12. sandia national labs | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    sandia national labs

  13. Lab Organizations

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    Organizations Lab Organizations National security depends on science and technology. The United States relies on Los Alamos National Laboratory for the best of both. No place on Earth pursues a broader array of world-class scientific endeavors. Los Alamos National Security, LLC Leadership Team Organization Chart PRINCIPAL ASSOCIATE DIRECTORATES Capital Projects, Larry Simmons Global Security, Terry Wallace Operations and Business, Craig Leasure Science, Technology, and Engineering, Alan Bishop

  14. | Jefferson Lab

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

    Fri, 08/19/2016 - 01:37pm Omnibus Omnibus August 19, 2016 Most of the Montage articles I have posted have addressed a single subject. This is different; I have a number of subjects I will try to cover which characterize the current menu of activities at the Lab. We ran CEBAF during May to provide data for the proton radius (PRAD) experiment, and indeed completed the experiment. During the summer period, we limit operations to benefit from the electricity charge structures provided by Dominion

  15. Eight National Labs Offer Streamlined Partnership Agreements to Help Industry Bring New Technologies to Market

    Office of Energy Efficiency and Renewable Energy (EERE)

    Agreements to Commercialize Technology (ACT) Reduces Barriers for Intellectual Property Rights, Lab-Business Partnerships

  16. 2012 - 02 | Jefferson Lab

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

    2 Feb 2012 Wed, 2012-02-22 14:00 JLab Property & Key Validations; Property Refresher Training Tue, 2012-02-21 14:00 All Hands Managers Meeting Fri, 2012-02-17 14:00 Notification to the Jefferson Lab community: Tue, 2012-02-14 14:00 Benefits Open Enrollment Begins Today - Important Changes Tue, 2012-02-14 14:00 JLAB CELEBRATES ENGINEERS WEEK: FEB 20-24 Wed, 2012-02-01 14:00 Important Changes Regarding Anthem Medical Benefits & Open Enrollment Wed, 2012-02-01 14:00 Approval Procedure

  17. 2013 - 03 | Jefferson Lab

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

    3 Mar 2013 Wed, 2013-03-27 10:49 Use On-Hook Dialing to Stop 911 Misdials & Wrong Numbers Wed, 2013-03-13 11:56 Reminder: Please Take Tornado Response Survey Thu, 2013-03-07 13:04 Daylight Saving Time Begins Sunday, March 10 Tue, 2013-03-05 13:04 Message from Hugh Montgomery: Jefferson Lab - Sequestration Fri, 2013-03-01 13:04 Annual Property Custodian Refresher Training and Property & Key Validations Must be Completed Between March 1-31

  18. 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...

  19. 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.

  20. Jefferson Lab Human Resources

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

    Jefferson Lab Emeritus Program Approved by the JSA Compensation Committee Candidature Upon retirement from Jefferson Lab, a former employee may be considered for and appointed to,...

  1. Nuclear Imaging | Jefferson Lab

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

    Research Jefferson Lab's Radiation Detector and Imaging Group Members of Jefferson Lab's Radiation Detector & Medical Imaging Group design and build unique imaging devices based on...

  2. 2014 - 06 | Jefferson Lab

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

    Awarded 2014 Prize to Support Research Work with Jefferson Lab Thu, 06052014 - 2:57pm Young Physicist from Syracuse University Receives Jefferson Lab's 2014 Thesis Prize...

  3. National Lab Impact Initiative

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ... Lab-Corps Teams Have Explored an Array of Market Opportunities Based on Lab Research Unmanned aerial vehicle inspections of wind turbines Optimized control technology for ...

  4. FEL Program | Jefferson Lab

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

    FEL Program Jefferson Lab's Free-Electron Laser is the world's most-powerful tunable laser and was developed using the lab's expertise in superconducting radiofrequency (SRF) ...

  5. Employees | Jefferson Lab

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    Read more Emergency Information Employees Jefferson Lab Emergency Drill Jefferson Lab conducts regular exercises and drills to continually improve safety and emergency procedures...

  6. 1997 | Jefferson Lab

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    Jefferson Lab Scientific Motivation and Research Program (Nuclear Physics News) Mon, 03171997 - 12:00am Laboratory Profile: Jefferson Lab Introduction (Nuclear Physics News)...

  7. Careers | Jefferson Lab

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    interesting and challenging jobs in pursuit of a greater understanding of the visible universe. Read more Job Openings Careers Jobs at Jefferson Lab Jefferson Lab offers many...

  8. 2007 - 11 | Jefferson Lab

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

    1 Nov 2007 Tue, 2007-11-20 13:00 Jefferson Lab News - Jefferson Lab Achieves Critical Milestone Toward Construction of $310-Million Upgrade Project

  9. Lab Leadership | Princeton Plasma Physics Lab

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

    Lab Breakthroughs Lab Breakthroughs The Lab Breakthroughs series brings together video produced by each of the National Labs about their innovations and discoveries, and a Q&A with a project researcher about how they affect Americans. Here you can view the latest Q&As weekly, or view the <a href="http://www.youtube.com/playlist?list=PL2C4A336D8734B59D">full playlist</a> on our YouTube page. The Lab Breakthroughs series brings together video produced by each of the

  10. 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.

  11. 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.

  12. 2015 - 05 | Jefferson Lab

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

    5 May 2015 Tue, 2015-05-19 15:48 Jefferson Lab's Annual Property Inventory Will Take Place June 1 - July 31 Tue, 2015-05-19 15:01 JLab Implements Process to Improve Public Access to Research Results Mon, 2015-05-18 08:31 Festival Help Needed May 30-31 Mon, 2015-05-18 08:24 Run-A-Round Update: Results Online; T-shirt Distribution Underway; Taking Special Orders Through June 5 Mon, 2015-05-18 08:21 TRAVELERS and TRAVEL COORDINATORS: Remember Expense Report Deadlines Tue, 2015-05-12 08:59 Jefferson

  13. National Lab Impact Initiative

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Lab Impact Initiative Energy Efficiency & Renewable Energy EERE National Lab Impact Summit Driving American Energy Innovation and Competitiveness May 4, 2016 | 7:30 am-7:00 pm National Renewable Energy Laboratory Golden, Colorado EERE National Lab Impact Summit // i ` http://www.cyclotronroad.org/home TABLE OF CONTENTS Department of Energy National Lab Abbreviations .........................................................................................................ii Welcome Letter

  14. 2011 - 09 | Jefferson Lab

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

    09 Sep 2011 Sun, 2011-09-25 15:00 Jefferson Lab Weekly Briefs September 28, 2011 Wed, 2011-09-21 15:00 Jefferson Lab Weekly Briefs September 21, 2011 Wed, 2011-09-14 15:00 Jefferson Lab Weekly Briefs September 14, 2011 Wed, 2011-09-07 15:00 Jefferson Lab Weekly Briefs September 7

  15. 2011 - 10 | Jefferson Lab

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    0 Oct 2011 Wed, 2011-10-26 15:00 Jefferson Lab Weekly Briefs October 26, 2011 Wed, 2011-10-19 15:00 Jefferson Lab Weekly Briefs October 19, 2011 Wed, 2011-10-12 15:00 Jefferson Lab Weekly Briefs October 12, 2011 Wed, 2011-10-05 15:00 Jefferson Lab Weekly Briefs October 5

  16. 2012 - 03 | Jefferson Lab

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    3 Mar 2012 Wed, 2012-03-28 15:00 Jefferson Lab Weekly Briefs March 28, 2012 Wed, 2012-03-21 15:00 Jefferson Lab Weekly Briefs March 21, 2012 Wed, 2012-03-14 15:00 Jefferson Lab Weekly Briefs March 14, 2012 Wed, 2012-03-07 14:00 Jefferson Lab Weekly Briefs March 7

  17. 2012 - 04 | Jefferson Lab

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

    4 Apr 2012 Wed, 2012-04-25 15:00 Jefferson Lab Weekly Briefs April 25, 2012 Wed, 2012-04-18 15:00 Jefferson Lab Weekly Briefs April 18, 2012 Wed, 2012-04-11 15:00 Jefferson Lab Weekly Briefs April 11, 2012 Wed, 2012-04-04 15:00 Jefferson Lab Weekly Briefs April 4

  18. 2012 - 06 | Jefferson Lab

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

    6 Jun 2012 Wed, 2012-06-27 15:00 Jefferson Lab Weekly Briefs June 27, 2012 Wed, 2012-06-20 15:00 Jefferson Lab Weekly Briefs June 20, 2012 Wed, 2012-06-13 15:00 Jefferson Lab Weekly Briefs June 13, 2012 Wed, 2012-06-06 15:00 Jefferson Lab Weekly Briefs June 6

  19. 2013 - 02 | Jefferson Lab

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

    2 Feb 2013 Wed, 2013-02-27 11:05 Jefferson Lab Weekly Briefs February 27, 2013 Wed, 2013-02-20 14:00 Jefferson Lab Weekly Briefs February 20, 2013 Wed, 2013-02-13 14:00 Jefferson Lab Weekly Briefs February 13, 2013 Wed, 2013-02-06 14:00 Jefferson Lab Weekly Briefs February

  20. 2013 - 03 | Jefferson Lab

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

    3 Mar 2013 Wed, 2013-03-27 15:55 Jefferson Lab Weekly Briefs March 27, 2013 Wed, 2013-03-20 15:11 Jefferson Lab Weekly Briefs March 20, 2013 Wed, 2013-03-13 18:24 Jefferson Lab Weekly Briefs March 13, 2013 Wed, 2013-03-06 15:12 Jefferson Lab Weekly Briefs March

  1. 2013 - 04 | Jefferson Lab

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

    4 Apr 2013 Wed, 2013-04-24 15:22 Jefferson Lab Weekly Briefs April 24, 2013 Wed, 2013-04-17 14:11 Jefferson Lab Weekly Briefs April 17, 2013 Wed, 2013-04-10 14:01 Jefferson Lab Weekly Briefs April 10, 2013 Wed, 2013-04-03 14:52 Jefferson Lab Weekly Briefs April 3

  2. 2013 - 05 | Jefferson Lab

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    5 May 2013 Wed, 2013-05-29 16:05 Jefferson Lab Weekly Briefs May 29, 2013 Wed, 2013-05-15 14:24 Jefferson Lab Weekly Briefs May 15, 2013 Wed, 2013-05-08 14:58 Jefferson Lab Weekly Briefs May 8, 2013 Wed, 2013-05-01 13:39 Jefferson Lab Weekly Briefs May 1

  3. 2013 - 06 | Jefferson Lab

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    6 Jun 2013 Wed, 2013-06-26 14:43 Jefferson Lab Weekly Briefs June 26, 2013 Wed, 2013-06-19 14:08 Jefferson Lab Weekly Briefs June 19, 2013 Wed, 2013-06-12 14:47 Jefferson Lab Weekly Briefs June 12, 2013 Wed, 2013-06-05 14:18 Jefferson Lab Weekly Briefs June 5

  4. 2013 - 08 | Jefferson Lab

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    8 Aug 2013 Wed, 2013-08-28 13:20 Jefferson Lab Weekly Briefs August 28, 2013 Wed, 2013-08-21 13:22 Jefferson Lab Weekly Briefs August 21, 2013 Wed, 2013-08-14 13:50 Jefferson Lab Weekly Briefs August 14, 2013 Wed, 2013-08-07 13:29 Jefferson Lab Weekly Briefs August 7

  5. 2013 - 11 | Jefferson Lab

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    1 Nov 2013 Wed, 2013-11-27 14:31 Jefferson Lab Weekly Briefs November 27, 2013 Wed, 2013-11-20 13:38 Jefferson Lab Weekly Briefs November 20, 2013 Wed, 2013-11-13 15:10 Jefferson Lab Weekly Briefs November 13, 2013 Wed, 2013-11-06 14:33 Jefferson Lab Weekly Briefs November 6

  6. 2014 - 02 | Jefferson Lab

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    2 Feb 2014 Wed, 2014-02-26 17:38 Jefferson Lab Weekly Briefs February 26, 2014 Wed, 2014-02-19 16:38 Jefferson Lab Weekly Briefs February 19, 2014 Wed, 2014-02-12 15:23 Jefferson Lab Weekly Briefs February 12, 2014 Wed, 2014-02-05 16:09 Jefferson Lab Weekly Briefs February

  7. 2014 - 03 | Jefferson Lab

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    3 Mar 2014 Wed, 2014-03-26 17:29 Jefferson Lab Weekly Briefs March 26, 2014 Wed, 2014-03-19 14:39 Jefferson Lab Weekly Briefs March 19, 2014 Wed, 2014-03-12 14:43 Jefferson Lab Weekly Briefs March 12, 2014 Wed, 2014-03-05 16:50 Jefferson Lab Weekly Briefs March

  8. 2014 - 05 | Jefferson Lab

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    5 May 2014 Wed, 2014-05-28 17:52 Jefferson Lab Weekly Briefs May 28, 2014 Wed, 2014-05-21 17:43 Jefferson Lab Weekly Briefs May 21, 2014 Wed, 2014-05-14 17:33 Jefferson Lab Weekly Briefs May 14, 2014 Wed, 2014-05-07 17:05 Jefferson Lab Weekly Briefs May 7

  9. 2014 - 10 | Jefferson Lab

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    0 Oct 2014 Wed, 2014-10-29 17:31 Jefferson Lab Weekly Briefs October 29, 2014 Wed, 2014-10-22 16:11 Jefferson Lab Weekly Briefs October 22, 2014 Wed, 2014-10-15 15:58 Jefferson Lab Weekly Briefs October 15, 2014 Wed, 2014-10-08 17:19 Jefferson Lab Weekly Briefs October 8

  10. 2014 - 11 | Jefferson Lab

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    1 Nov 2014 Wed, 2014-11-26 15:17 Jefferson Lab Weekly Briefs November 26, 2014 Wed, 2014-11-19 17:52 Jefferson Lab Weekly Briefs November 19, 2014 Wed, 2014-11-12 14:17 Jefferson Lab Weekly Briefs November 12, 2014 Wed, 2014-11-05 16:59 Jefferson Lab Weekly Briefs November 5

  11. 2015 - 02 | Jefferson Lab

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    2 Feb 2015 Wed, 2015-02-25 16:14 Jefferson Lab Weekly Briefs February 25, 2015 Wed, 2015-02-18 16:26 Jefferson Lab Weekly Briefs February 18, 2015 Wed, 2015-02-11 17:50 Jefferson Lab Weekly Briefs February 11, 2015 Wed, 2015-02-04 16:53 Jefferson Lab Weekly Briefs February

  12. 2015 - 03 | Jefferson Lab

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    3 Mar 2015 Wed, 2015-03-25 16:29 Jefferson Lab Weekly Briefs March 25, 2015 Wed, 2015-03-18 14:55 Jefferson Lab Weekly Briefs March 18, 2015 Wed, 2015-03-11 14:01 Jefferson Lab Weekly Briefs March 11, 2015 Wed, 2015-03-04 18:55 Jefferson Lab Weekly Briefs March

  13. 2015 - 06 | Jefferson Lab

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    6 Jun 2015 Wed, 2015-06-24 12:50 Jefferson Lab Weekly Briefs June 24, 2015 Wed, 2015-06-17 14:29 Jefferson Lab Weekly Briefs June 17, 2015 Wed, 2015-06-10 15:02 Jefferson Lab Weekly Briefs June 10, 2015 Wed, 2015-06-03 13:46 Jefferson Lab Weekly Briefs June 3

  14. 2015 - 08 | Jefferson Lab

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    8 Aug 2015 Wed, 2015-08-26 15:21 Jefferson Lab Weekly Briefs August 26, 2015 Wed, 2015-08-19 16:29 Jefferson Lab Weekly Briefs August 19, 2015 Wed, 2015-08-12 16:34 Jefferson Lab Weekly Briefs August 12, 2015 Wed, 2015-08-05 16:53 Jefferson Lab Weekly Briefs August 5

  15. 2015 - 11 | Jefferson Lab

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    1 Nov 2015 Wed, 2015-11-25 11:54 Jefferson Lab Weekly Briefs November 25, 2015 Wed, 2015-11-18 17:22 Jefferson Lab Weekly Briefs November 18, 2015 Thu, 2015-11-12 09:40 Jefferson Lab Weekly Briefs November 12, 2015 Thu, 2015-11-05 09:08 Jefferson Lab Weekly Briefs - November 5

  16. 2016 - 02 | Jefferson Lab

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    2 Feb 2016 Wed, 2016-02-24 13:33 Jefferson Lab Weekly Briefs February 24, 2016 Wed, 2016-02-17 11:49 Jefferson Lab Weekly Briefs February 17, 2016 Thu, 2016-02-11 14:11 Jefferson Lab Weekly Briefs February 11, 2016 Wed, 2016-02-03 15:49 Jefferson Lab Weekly Briefs February 3

  17. 2016 - 07 | Jefferson Lab

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    7 Jul 2016 Wed, 2016-07-27 16:15 Jefferson Lab Weekly Briefs July 27, 2016 Wed, 2016-07-20 16:45 Jefferson Lab Weekly Briefs July 20, 2016 Wed, 2016-07-13 21:13 Jefferson Lab Weekly Briefs - July 13, 2016 Wed, 2016-07-06 20:19 Jefferson Lab Weekly Briefs - July 6

  18. 2011 | Jefferson Lab

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    Dec 2011 Wed, 2011-12-21 14:00 Jefferson Lab Weekly Briefs December 21, 2011 Wed, 2011-12-14 14:00 Jefferson Lab Weekly Briefs December 14, 2011 Wed, 2011-12-07 14:00 Jefferson Lab Weekly Briefs December 7, 2011 Nov 2011 Wed, 2011-11-30 14:00 Jefferson Lab Weekly Briefs November 30, 2011 Wed, 2011-11-23 14:00 Jefferson Lab Weekly Briefs November 23, 2011 Wed, 2011-11-16 14:00 Jefferson Lab Weekly Briefs November 16, 2011 Wed, 2011-11-09 14:00 Jefferson Lab Weekly Briefs November 9, 2011 Wed,

  19. 2012 | Jefferson Lab

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    Dec 2012 Wed, 2012-12-19 14:00 Jefferson Lab Weekly Briefs December 19, 2012 Wed, 2012-12-12 12:00 Jefferson Lab Weekly Briefs December 12, 2012 Wed, 2012-12-05 14:00 Jefferson Lab Weekly Briefs December 5, 2012 Nov 2012 Wed, 2012-11-21 14:00 Jefferson Lab Weekly Briefs November 21, 2012 Wed, 2012-11-14 14:00 Jefferson Lab Weekly Briefs November 14, 2012 Wed, 2012-11-07 14:00 Jefferson Lab Weekly Briefs November 7, 2012 Oct 2012 Wed, 2012-10-31 15:00 Jefferson Lab Weekly Briefs October 31, 2012

  20. 2013 | Jefferson Lab

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    Dec 2013 Wed, 2013-12-18 15:04 Jefferson Lab Weekly Briefs December 18, 2013 Wed, 2013-12-11 14:43 Jefferson Lab Weekly Briefs December 11, 2013 Wed, 2013-12-04 13:07 Jefferson Lab Weekly Briefs December 4, 2013 Nov 2013 Wed, 2013-11-27 14:31 Jefferson Lab Weekly Briefs November 27, 2013 Wed, 2013-11-20 13:38 Jefferson Lab Weekly Briefs November 20, 2013 Wed, 2013-11-13 15:10 Jefferson Lab Weekly Briefs November 13, 2013 Wed, 2013-11-06 14:33 Jefferson Lab Weekly Briefs November 6, 2013 Oct

  1. 2014 | Jefferson Lab

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    Dec 2014 Wed, 2014-12-17 16:26 Jefferson Lab Weekly Briefs December 17, 2014 Wed, 2014-12-10 17:59 Jefferson Lab Weekly Briefs December 10, 2014 Wed, 2014-12-03 17:13 Jefferson Lab Weekly Briefs December 3, 2014 Nov 2014 Wed, 2014-11-26 15:17 Jefferson Lab Weekly Briefs November 26, 2014 Wed, 2014-11-19 17:52 Jefferson Lab Weekly Briefs November 19, 2014 Wed, 2014-11-12 14:17 Jefferson Lab Weekly Briefs November 12, 2014 Wed, 2014-11-05 16:59 Jefferson Lab Weekly Briefs November 5, 2014 Oct

  2. 2015 | Jefferson Lab

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    Dec 2015 Wed, 2015-12-23 08:12 Jefferson Lab Weekly Briefs December 23, 2015 Wed, 2015-12-16 14:44 Jefferson Lab Weekly Briefs December 16, 2015 Wed, 2015-12-09 17:20 Jefferson Lab Weekly Briefs December 10, 2015 Nov 2015 Wed, 2015-11-25 11:54 Jefferson Lab Weekly Briefs November 25, 2015 Wed, 2015-11-18 17:22 Jefferson Lab Weekly Briefs November 18, 2015 Thu, 2015-11-12 09:40 Jefferson Lab Weekly Briefs November 12, 2015 Thu, 2015-11-05 09:08 Jefferson Lab Weekly Briefs - November 5, 2015 Oct

  3. Policymakers | Jefferson Lab

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

    Policymakers Thomas Jefferson National Accelerator Facility (Jefferson Lab) is one of 17 national laboratories funded by the U.S. Department of Energy. The lab also receives support from the City of Newport News and the Commonwealth of Virginia. The lab's primary mission is to conduct basic research of the atom's nucleus using the lab's unique particle accelerator, the Continuous Electron Beam Accelerator Facility. Jefferson Lab also conducts applied research using its Free-Electron Laser, which

  4. Archaeology on Lab Land

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

    Archaeology on Lab Land Archaeology on Lab Land People have lived in this area for more than 5,000 years. Lab archaeologists are studying and preserving the ancient human occupation of the Pajarito Plateau. Archaeology on Lab Land exhibit Environmental Research & Monitoring Visit our exhibit and find out how Los Alamos researchers are studying our rich cultural diversity. READ MORE Nake'muu archaeological site Unique Archaeology The thousands of Ancestral Pueblo sites identified on Lab land

  5. 2011 - 11 | Jefferson Lab

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

    1 Nov 2011 Wed, 2011-11-30 14:00 Jefferson Lab Weekly Briefs November 30, 2011 Wed, 2011-11-23 14:00 Jefferson Lab Weekly Briefs November 23, 2011 Wed, 2011-11-16 14:00 Jefferson Lab Weekly Briefs November 16, 2011 Wed, 2011-11-09 14:00 Jefferson Lab Weekly Briefs November 9, 2011 Wed, 2011-11-02 15:00 Jefferson Lab Weekly Briefs November 2

  6. 2012 - 02 | Jefferson Lab

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

    2 Feb 2012 Wed, 2012-02-29 14:00 Jefferson Lab Weekly Briefs February 29, 2012 Wed, 2012-02-22 14:00 Jefferson Lab Weekly Briefs February 22, 2012 Wed, 2012-02-15 14:00 Jefferson Lab Weekly Briefs February 15, 2012 Wed, 2012-02-08 14:00 Jefferson Lab Weekly Briefs February 8, 2012 Wed, 2012-02-01 14:00 Jefferson Lab Weekly Briefs February 1

  7. 2012 - 05 | Jefferson Lab

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

    5 May 2012 Wed, 2012-05-30 15:00 Jefferson Lab Weekly Briefs May 30, 2012 Wed, 2012-05-23 15:00 Jefferson Lab Weekly Briefs May 23, 2012 Wed, 2012-05-16 15:00 Jefferson Lab Weekly Briefs May 16, 2012 Wed, 2012-05-09 15:00 Jefferson Lab Weekly Briefs May 9, 2012 Wed, 2012-05-02 17:00 Jefferson Lab Weekly Briefs May 2

  8. 2012 - 08 | Jefferson Lab

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

    8 Aug 2012 Wed, 2012-08-29 15:00 Jefferson Lab Weekly Briefs August 29, 2012 Wed, 2012-08-22 15:00 Jefferson Lab Weekly Briefs August 22, 2012 Wed, 2012-08-15 15:00 Jefferson Lab Weekly Briefs August 15, 2012 Wed, 2012-08-08 15:00 Jefferson Lab Weekly Briefs August 8, 2012 Wed, 2012-08-01 15:00 Jefferson Lab Weekly Briefs August

  9. 2012 - 10 | Jefferson Lab

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

    0 Oct 2012 Wed, 2012-10-31 15:00 Jefferson Lab Weekly Briefs October 31, 2012 Wed, 2012-10-24 15:00 Jefferson Lab Weekly Briefs October 24, 2012 Wed, 2012-10-17 15:00 Jefferson Lab Weekly Briefs October 17, 2012 Wed, 2012-10-10 15:00 Jefferson Lab Weekly Briefs October 10, 2012 Wed, 2012-10-03 15:00 Jefferson Lab Weekly Briefs October 3

  10. 2013 - 07 | Jefferson Lab

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

    7 Jul 2013 Wed, 2013-07-31 13:42 Jefferson Lab Weekly Briefs July 31, 2013 Wed, 2013-07-24 13:54 Jefferson Lab Weekly Briefs July 24, 2013 Wed, 2013-07-17 14:19 Jefferson Lab Weekly Briefs July 17, 2013 Wed, 2013-07-10 14:17 Jefferson Lab Weekly Briefs July 10, 2013 Wed, 2013-07-03 13:30 Jefferson Lab Weekly Briefs July 3

  11. 2013 - 10 | Jefferson Lab

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

    0 Oct 2013 Wed, 2013-10-30 15:29 Jefferson Lab Weekly Briefs October 30, 2013 Wed, 2013-10-23 14:30 Jefferson Lab Weekly Briefs October 23, 2013 Wed, 2013-10-16 14:53 Jefferson Lab Weekly Briefs October 16, 2013 Wed, 2013-10-09 14:59 Jefferson Lab Weekly Briefs October 9, 2013 Wed, 2013-10-02 15:11 Jefferson Lab Weekly Briefs October 2

  12. 2014 - 04 | Jefferson Lab

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

    4 Apr 2014 Wed, 2014-04-30 16:43 Jefferson Lab Weekly Briefs April 30, 2014 Wed, 2014-04-23 17:50 Jefferson Lab Weekly Briefs April 23, 2014 Wed, 2014-04-16 19:05 Jefferson Lab Weekly Briefs April 16, 2014 Wed, 2014-04-09 18:08 Jefferson Lab Weekly Briefs April 9, 2014 Wed, 2014-04-02 17:21 Jefferson Lab Weekly Briefs April 2

  13. 2014 - 07 | Jefferson Lab

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

    7 Jul 2014 Wed, 2014-07-30 18:42 Jefferson Lab Weekly Briefs July 30, 2014 Wed, 2014-07-23 17:39 Jefferson Lab Weekly Briefs July 23, 2014 Wed, 2014-07-16 18:25 Jefferson Lab Weekly Briefs July 16, 2014 Wed, 2014-07-09 18:25 Jefferson Lab Weekly Briefs July 9, 2014 Wed, 2014-07-02 15:27 Jefferson Lab Weekly Briefs July 2

  14. 2015 - 04 | Jefferson Lab

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

    4 Apr 2015 Wed, 2015-04-29 16:37 Jefferson Lab Weekly Briefs April 29, 2015 Wed, 2015-04-22 14:02 Jefferson Lab Weekly Briefs April 22, 2015 Wed, 2015-04-15 17:37 Jefferson Lab Weekly Briefs April 15, 2015 Wed, 2015-04-08 18:19 Jefferson Lab Weekly Briefs April 8, 2015 Wed, 2015-04-01 19:18 Jefferson Lab Weekly Briefs April 1

  15. 2015 - 07 | Jefferson Lab

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

    7 Jul 2015 Wed, 2015-07-29 17:01 Jefferson Lab Weekly Briefs July 29, 2015 Wed, 2015-07-22 16:00 Jefferson Lab Weekly Briefs July 22, 2015 Wed, 2015-07-15 21:52 Jefferson Lab Weekly Briefs - July 15, 2015 Wed, 2015-07-08 16:32 Jefferson Lab Weekly Briefs July 8, 2015 Wed, 2015-07-01 17:13 Jefferson Lab Weekly Briefs - July 1

  16. 2015 - 10 | Jefferson Lab

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    0 Oct 2015 Thu, 2015-10-29 11:57 Jefferson Lab Weekly Briefs October 29, 2015 Wed, 2015-10-21 15:50 Jefferson Lab Weekly Briefs October 21, 2015 Thu, 2015-10-15 08:38 Jefferson Lab Weekly Briefs October 15, 2015 Wed, 2015-10-07 17:07 Jefferson Lab Weekly Briefs October 7, 2015 Thu, 2015-10-01 08:00 Jefferson Lab Weekly Briefs September 30

  17. 2016 - 03 | Jefferson Lab

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

    3 Mar 2016 Thu, 2016-03-31 09:51 Jefferson Lab Weekly Briefs March 31, 2016 Thu, 2016-03-24 08:36 Jefferson Lab Weekly Briefs March 23, 2016 Mon, 2016-03-21 08:31 Jefferson Lab Weekly Briefs March 17, 2016 Thu, 2016-03-10 14:36 Jefferson Lab Weekly Briefs March 10, 2016 Wed, 2016-03-02 13:36 Jefferson Lab Weekly Briefs March 2

  18. 2016 - 06 | Jefferson Lab

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

    6 Jun 2016 Wed, 2016-06-29 21:11 Jefferson Lab Weekly Briefs - June 29, 2016 Wed, 2016-06-22 17:10 Jefferson Lab Weekly Briefs June 22, 2016 Wed, 2016-06-15 17:15 Jefferson Lab Weekly Briefs June 15, 2016 Wed, 2016-06-08 15:31 Jefferson Lab Weekly Briefs June 8, 2016 Thu, 2016-06-02 12:12 Jefferson Lab Weekly Briefs June 1

  19. Jefferson Lab Public Affairs

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    Electronic Media print version Public Affairs Links Home Journalists' Newsroom Media Photographic Archives What is Jefferson Lab? Community Outreach Jefferson Lab Graphic Identity Standards and Style Guide Usage of the Jefferson Lab Logo - The following examples demonstrate correct use of the lab logo. Requests to use the Jefferson Lab logo by outside entities for conference posters, advertisements, presentations, websites, or other communications may be granted for one-time use on a

  20. The role of precipitation size distributions in km-scale NWP simulations of intense precipitation: Evaluation of cloud properties and surface precipitation

    SciTech Connect (OSTI)

    VanWeverberg K.; Vogelmann A.; vanLipzig, N. P. M.; Delobbec, L.

    2012-04-01

    We investigate the sensitivity of simulated cloud properties and surface precipitation to assumptions regarding the size distributions of the precipitating hydrometeors in a one-moment bulk microphysics scheme. Three sensitivity experiments were applied to two composites of 15 convective and 15 frontal stratiform intense precipitation events observed in a coastal midlatitude region (Belgium), which were evaluated against satellite-retrieved cloud properties and radar-rain-gauge derived surface precipitation. It is found that the cloud optical thickness distribution was well captured by all experiments, although a significant underestimation of cloudiness occurred in the convective composite. The cloud-top-pressure distribution was improved most by more realistic snow size distributions (including a temperature-dependent intercept parameter and non-spherical snow for the calculation of the slope parameter), due to increased snow depositional growth at high altitudes. Surface precipitation was far less sensitive to whether graupel or hail was chosen as the rimed ice species, as compared to previous idealized experiments. This smaller difference in sensitivity could be explained by the stronger updraught velocities and higher freezing levels in the idealized experiments compared to typical coastal midlatitude environmental conditions.

  1. ARM - Measurement - Images of Clouds

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

    govMeasurementsImages of Clouds 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 : Images of Clouds Digital images of cloud scenes (various formats) from satellite, aircraft, and ground-based platforms. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a

  2. 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 total concentration (mass/vol) of ice and liquid water particles in a cloud; this includes condensed water content (CWC). Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a

  3. Ice Nucleation of Bare and Sulfuric Acid-coated Mineral Dust Particles and Implication for Cloud Properties

    SciTech Connect (OSTI)

    Kulkarni, Gourihar R.; Sanders, Cassandra N.; Zhang, Kai; Liu, Xiaohong; Zhao, Chun

    2014-08-27

    Ice nucleation properties of different dust species coated with soluble material are not well understood. We determined the ice nucleation ability of bare and sulfuric acid coated mineral dust particles as a function of temperature (-25 to -35 deg C) and relative humidity with respect to water (RHw). Five different mineral dust species: Arizona test dust (ATD), illite, montmorillonite, quartz and kaolinite were dry dispersed and size-selected at 150 nm and exposed to sulfuric acid vapors in the coating apparatus. The condensed sulfuric acid soluble mass fraction per particle was estimated from the cloud condensation nuclei activated fraction measurements. The fraction of dust particles nucleating ice at various temperatures and RHw was determined using a compact ice chamber. In water-subsaturated conditions, compared to bare dust particles, we found that only coated ATD particles showed suppression of ice nucleation ability while other four dust species did not showed the effect of coating on the fraction of particles nucleating ice. The results suggest that interactions between the dust surface and sulfuric acid vapor are important, such that interactions may or may not modify the surface via chemical reactions with sulfuric acid. At water-supersaturated conditions we did not observed the effect of coating, i.e. the bare and coated dust particles had similar ice nucleation behavior.

  4. Science at Jefferson Lab | Jefferson Lab

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

    Science at Jefferson Lab All visible matter in the universe is built of subatomic particles called quarks and gluons. These particles combine to form the protons and neutrons found in the nucleus of the atom. Scientists at Jefferson Lab study these particles and the strong force that binds them together. They do this using the Continuous Electron Beam Accelerator Facility (CEBAF) and the lab's three experimental halls - Halls A, B and C. CEBAF acts like a giant microscope, making it possible for

  5. Jefferson Lab awards upgrade contracts | Jefferson Lab

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    awards upgrade contracts Jefferson Lab awards upgrade contracts Michael Schwartz Inside Business, January 9, 2009 Jefferson Lab announced last week it awarded three contracts worth approximately a combined $5 million as part of its planned $310 million upgrade that will double the power of its electron beam accelerator. The Newport News-based nuclear physics lab, known officially as the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility, received approval from DOE for the

  6. Jefferson Lab Site Map | Jefferson Lab

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    Jefferson Lab Site Map Front page Syndicated feed icon Front page of Jefferson Lab Main menu Home About Brochures Contact JLab Director Montage Divisions & Departments Events JLab Video Org Charts Science at JLab Virtual Tour Visiting the Lab Research 12 GeV Accelerator Science Hall A Hall B Hall C Hall D LDRD Low Energy Recirculator Facility Nuclear Physics Radiation Detector & Imaging Recent Experiments SRF Institute Theory Center Users & Visiting Scientists Careers Appraisals

  7. Sandia Labs' Photovoltaic Systems Evaluation Lab (PSEL) Marks...

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

    Labs' Photovoltaic Systems Evaluation Lab (PSEL) Marks Accomplishments & Adds Capabilities ... Energy Systems LaboratoryBrayton Lab Photovoltaic Systems Evaluation Laboratory PV ...

  8. 2009 - 03 | Jefferson Lab

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

    3 Mar 2009 Fri, 2009-03-27 00:00 Jefferson Lab gets $75M in stimulus funds (Inside Business) Tue, 2009-03-24 00:00 Jefferson Lab gets stimulus money (Richmond Times-Dispatch) Tue, 2009-03-24 00:00 Stimulus money will update Jefferson Lab, create jobs (The Virginian-Pilot) Tue, 2009-03-24 00:00 Jefferson Lab gets $75 million stimulus grant (Daily Press) Mon, 2009-03-23 00:00 Jefferson Lab To Receive $75 Million In Recovery Act Funding Mon, 2009-03-23 00:00 Jefferson Lab gets federal stimulus

  9. 2002 - 04 | Jefferson Lab

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    4 Apr 2002 Mon, 2002-04-22 14:00 Jefferson Lab's Education Web Site Hits New High-Usage Record Mon, 2002-04-22 14:00 Next Jefferson Lab Science Series Event Set for May 8 Mon, 2002-04-22 14:00 Jefferson Lab Man Donates Bone Marrow to Save 12-Year-Old Boy Mon, 2002-04-22 14:00 Jefferson Lab Tech Associate Invents Lockout Device for Equipment with Removable Power Cords Mon, 2002-04-22 14:00 Six Local Teens Win Jefferson Lab Summer Externships Fri, 2002-04-19 14:00 Jefferson Lab Physicist Wins

  10. Los Alamos National Lab | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Los Alamos National Lab NNSA labs fight fire with simulation Fire season is in full swing in the driest parts of the United States, and capabilities of NNSA's labs are helping equip firefighters in the heated battle to save property and environment. NNSA's labs are perfectly suited to support emergency response related to fire. A long history of... NNSA Announces 2015 Bradley A. Peterson Federal and Contractor Security Professional of the Year Awards WASHINGTON, D.C. - The Department of Energy's

  11. Lab-Corps: Training National Lab Entrepreneurs to Take Clean...

    Office of Environmental Management (EM)

    Lab-Corps: Training National Lab Entrepreneurs to Take Clean Energy to Market Lab-Corps: Training National Lab Entrepreneurs to Take Clean Energy to Market March 18, 2016 - 8:54am ...

  12. Research | Jefferson Lab

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    Laser. A D D I T I O N A L L I N K S: Read more Nuclear Imaging Research Jefferson Lab's Radiation Detector and Imaging Group Members of Jefferson Lab's Radiation Detector &...

  13. 2015 - 09 | Jefferson Lab

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

    & Fabrication Corp. Named Top Small Business Subcontractor at Jefferson Lab for FY 2014 Fri, 2015-09-04 12:57 Jefferson Lab Adds Physics Fest Events to Virginia Science Festival ...

  14. Directions to Berkeley Lab

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    Joint Genome Institute (JGI) San Francisco Bay Area Transit Information San Francisco Airport to the Lab by car San Francisco Airport to the Lab by BART San Francisco Airport to...

  15. 2008 - 04 | Jefferson Lab

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    April 2008 Sun, 04132008 - 11:00pm Jefferson Lab finds its man Mont (Inside Business) Wed, 04022008 - 11:00pm New director of Jefferson Lab named (Daily Press) Wed, 04022008...

  16. 2000 - 10 | Jefferson Lab

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    October 2000 Wed, 10112000 - 11:00pm Jefferson Lab: Cancer-seeking Camera Demystifies Research Lab (Daily Press) Sat, 10072000 - 11:00pm Breast Cancer Biopsies Could Be Things...

  17. 2009 - 07 | Jefferson Lab

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    2009 Sun, 07052009 - 11:00pm Jefferson Lab creates better way to discover breast cancer Sun, 07052009 - 11:00pm Jefferson Lab employee invents low-tech gizmo to protect...

  18. 2004 - 10 | Jefferson Lab

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    0 Oct 2004 Sun, 2004-10-24 00:00 efferson Lab Hopes to Bulk Up 'Strong Force' Theory (Daily Press) Mon, 2004-10-04 00:00 Jefferson Lab a Worthy Investment (Roanoke.com

  19. 2008 - 10 | Jefferson Lab

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

    10 Oct 2008 Fri, 2008-10-24 00:00 Jefferson Lab electron beam charges up (Inside Business) Mon, 2008-10-06 00:00 Jefferson Lab, ODU team up for center (Inside Business

  20. 2014 - 09 | Jefferson Lab

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

    9 Sep 2014 Wed, 2014-09-24 18:55 Jefferson Lab Weekly Briefs September 24, 2014 Wed, 2014-09-10 18:02 Jefferson Lab Weekly Briefs September 10

  1. 2004 - 09 | Jefferson Lab

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    9 Sep 2004 Tue, 2004-09-21 14:00 Catch Jefferson Lab's entertaining, educational Cryogenics Demonstration at the Virginia State Fair Fri, 2004-09-10 14:00 Jefferson Lab Announces Two Fall Science Series Events

  2. 2007 - 04 | Jefferson Lab

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    4 Apr 2007 Tue, 2007-04-17 14:00 Jefferson Lab scientist puts intriguing view on spin of the proton Tue, 2007-04-17 14:00 Jefferson Lab Experiment Pins Down Pion

  3. 2008 - 10 | Jefferson Lab

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    0 Oct 2008 Fri, 2008-10-24 15:00 Jefferson Lab electron beam charges up Mon, 2008-10-06 15:00 Jefferson Lab, ODU team up for center

  4. 2009 - 07 | Jefferson Lab

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    7 Jul 2009 Thu, 2009-07-30 14:00 Jefferson Lab Hosts Science Poster Session Fri, 2009-07-10 14:00 Jefferson Lab Scientist Receives 2009 Presidential Early Career Award

  5. 2011 - 05 | Jefferson Lab

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    5 May 2011 Mon, 2011-05-23 14:00 National labs offer computing time to Japanese physicists Wed, 2011-05-11 14:00 Two Jefferson Lab Scientists Win Prestigious Early Career Awards

  6. 2012 - 08 | Jefferson Lab

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    8 Aug 2012 Fri, 2012-08-03 14:00 Jefferson Lab to Test Tornado Warning Siren on Friday Morning Wed, 2012-08-01 18:42 Media Advisory - Jefferson Lab Hosts Summer Intern Science Poster Session

  7. LCLS Prep Lab Images | Sample Preparation Laboratories

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

    LCLS Prep Lab Images « Back to LCLS Prep Laboratory LCLS Prep Lab LCLS Prep Lab, Acid Wash and Water Purifier LCLS Prep Lab, Corner LCLS FEH LCLS Prep Lab, Acetone LCLS Prep Lab, First Aid LCLS Prep Lab, pH LCLS Prep Lab, Lisa Hammon LCLS Prep Lab, Glass LCLS Prep Lab, Hazardous Waste Cabinet LCLS Prep Lab, Door Previous Pause Next

  8. 2016 - 07 | Jefferson Lab

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    7 Jul 2016 Fri, 2016-07-01 09:16 Jefferson Lab Director Awarded Glazebrook Medal

  9. Benefits | Jefferson Lab

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    Benefits Jefferson Lab provides a comprehensive, balanced, and competitive benefits package to employees. The lab offers a variety of benefit options, including medical, dental, health and dependent care reimbursement accounts, and a defined contribution plan and other inclusive offerings. Jefferson Lab remains committed to providing a quality and affordable benefit programs. Detailed information of the options provided by the lab can be found by browsing the benefits webpage. You will find

  10. Brochures | Jefferson Lab

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    Brochures Brochures 12 GeV Upgrade Brochure 12 GeV Upgrade Brochure Nuclear Imaging Brochure Nuclear Imaging Brochure Superconducting Radiofrequency Superconducting Radiofrequency Jefferson Lab Viewbook Jefferson Lab Viewbook Accelerating Innovation Accelerating Innovation Jefferson Lab General Brochure Jefferson Lab General Brochure Science Education Brochure Science Education Brochure Posters Experimental Hall A Poster Science Highlights from the First 15 Years of Physics Experimental Hall A

  11. 2006 - 03 | Jefferson Lab

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    March 2006 Sun, 03052006 - 12:00am Faces and Places: Fellowships for US lab directors (CERN Courier...

  12. Jefferson Lab Contacts

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    Contact Us Privacy and Security Notice Skip over navigation Search the JLab Site Search Please upgrade your browser. This site's design is only visible in a graphical browser that supports web standards, but its content is accessible to any browser. Concerns? Jefferson Lab Navigation Home Search News Insight print version Jefferson Lab 12000 Jefferson Avenue Newport News, VA 23606 Phone: (757) 269-7100 Fax: (757) 269-7363 Contact Jefferson Lab Jefferson Lab's service departments and divisional

  13. 2005 - 11 | Jefferson Lab

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    1 Nov 2005 Wed, 2005-11-23 00:00 Jefferson Lab budget at risk for cuts

  14. 2007 - 05 | Jefferson Lab

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

    5 May 2007 Tue, 2007-05-15 00:00 Leemann Steps Down from Jefferson Lab Directorship

  15. 2016 - 08 | Jefferson Lab

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

    8 Aug 2016 Wed, 2016-08-31 13:15 Jefferson Lab Weekly Briefs August 31, 2016 Wed, 2016-08-24 15:25 Jefferson Lab Weekly Briefs August 24, 2016 Wed, 2016-08-17 17:27 Jefferson Lab Weekly Briefs August 17, 2016 Thu, 2016-08-11 08:44 JLab Weekly Briefs - August 11, 2016 Thu, 2016-08-04 08:59 Jefferson Lab Weekly Briefs August 4

  16. Business Services | Jefferson Lab

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

    Business Services Jefferson Lab spends approximately $73 million annually through procurements to a diverse group of large and small businesses for a broad range of products and services that support the lab's overall mission. Managing the lab's vendor process is the Procurement & Services Department. The department is dedicated to the highest standards of service, conduct and continuous improvement. To learn more about business opportunities with the lab, contact Procurement & Services.

  17. 2000 - 08 | Jefferson Lab

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    8 Aug 2000 Thu, 2000-08-31 14:00 Christoph Leeman becomes Jefferson Lab's first Deputy Director

  18. 2001 - 11 | Jefferson Lab

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

    11 Nov 2001 Fri, 2001-11-16 13:00 Christoph W. Leemann Named Jefferson Lab Director

  19. 2002 - 09 | Jefferson Lab

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    09 Sep 2002 Fri, 2002-09-06 14:00 Jefferson Lab announces Fall 2002 Science Series line

  20. 2004 - 10 | Jefferson Lab

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    0 Oct 2004 Wed, 2004-10-27 14:00 Jefferson Lab Announces Fall Science Series Event Nov. 23

  1. 2007 - 02 | Jefferson Lab

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    2 Feb 2007 Thu, 2007-02-08 13:00 Jefferson Lab Awards Contract for Next Cluster Computer

  2. 2007 - 07 | Jefferson Lab

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

    7 Jul 2007 Tue, 2007-07-17 14:00 Education Secretary Morris, Senator Norment visit Jefferson Lab

  3. 2008 - 03 | Jefferson Lab

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

    3 Mar 2008 Fri, 2008-03-28 14:00 Teachers Invited to Activities Night at Jefferson Lab

  4. 2009 - 12 | Jefferson Lab

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

    2 Dec 2009 Thu, 2009-12-03 09:08 Big changes for the Jefferson Lab campus

  5. 2011 - 05 | Jefferson Lab

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

    5 May 2011 Wed, 2011-05-11 10:31 Two Jefferson Lab Scientists Win Prestigious Early Career Awards

  6. 2011 - 11 | Jefferson Lab

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    1 Nov 2011 Mon, 2011-11-28 13:00 Jefferson Lab Scientist Wins 2011 Lawrence Award

  7. Geoscience Prep Lab Slideshow | Sample Preparation Laboratories

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

    Geoscience Prep Lab Slideshow « Back to Geoscience Laboratory Geoscience Prep Lab Geoscience Prep Lab 2 Geoscience Prep Lab 3 Geoscience Prep Lab 4 Geoscience Prep Lab 5 Geoscience Prep Lab Door

  8. 2014 - 07 | Jefferson Lab

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

    7 Jul 2014 Thu, 2014-07-31 08:56 Media Advisory: Poster Session Highlights Projects, Research Carried Out by Summer Interns at Jefferson Lab Tue, 2014-07-01 14:20 Jefferson Lab Project Team Receives Department of Energy Award Tue, 2014-07-01 14:10 Maintenance & Cleaning Firm Earns Jefferson Lab's Small Business Award for 2013

  9. 2001 - 11 | Jefferson Lab

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    1 Nov 2001 Sat, 2001-11-17 00:00 Jefferson Lab Gets New Chief: Leemann takes top post (Times-Dispatch) Sat, 2001-11-17 00:00 Leemann Officially Takes Over Peninsula's Jefferson Lab (The Virginian-Pilot) Mon, 2001-11-05 00:00 Lab is Working to Build a Better Mouse Camera

  10. 2011 - 12 | Jefferson Lab

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

    2 Dec 2011 Wed, 2011-12-21 14:00 Jefferson Lab Weekly Briefs December 21, 2011 Wed, 2011-12-14 14:00 Jefferson Lab Weekly Briefs December 14, 2011 Wed, 2011-12-07 14:00 Jefferson Lab Weekly Briefs December 7

  11. 2012 - 07 | Jefferson Lab

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    7 Jul 2012 Wed, 2012-07-25 15:00 Jefferson Lab Weekly Briefs July 25, 2012 Wed, 2012-07-18 15:00 Jefferson Lab Weekly Briefs July 18, 2012 Wed, 2012-07-11 15:00 Jefferson Lab Weekly Briefs July 1

  12. 2012 - 09 | Jefferson Lab

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    9 Sep 2012 Wed, 2012-09-26 15:00 Jefferson Lab Weekly Briefs September 26, 2012 Wed, 2012-09-19 15:00 Jefferson Lab Weekly Briefs September 19, 2012 Wed, 2012-09-12 15:00 Jefferson Lab Weekly Briefs September 12

  13. 2012 - 11 | Jefferson Lab

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    1 Nov 2012 Wed, 2012-11-21 14:00 Jefferson Lab Weekly Briefs November 21, 2012 Wed, 2012-11-14 14:00 Jefferson Lab Weekly Briefs November 14, 2012 Wed, 2012-11-07 14:00 Jefferson Lab Weekly Briefs November 7

  14. 2012 - 12 | Jefferson Lab

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    2 Dec 2012 Wed, 2012-12-19 14:00 Jefferson Lab Weekly Briefs December 19, 2012 Wed, 2012-12-12 12:00 Jefferson Lab Weekly Briefs December 12, 2012 Wed, 2012-12-05 14:00 Jefferson Lab Weekly Briefs December 5

  15. 2013 - 09 | Jefferson Lab

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    9 Sep 2013 Wed, 2013-09-25 13:37 Jefferson Lab Weekly Briefs September 25, 2013 Wed, 2013-09-18 14:40 Jefferson Lab Weekly Briefs September 18, 2013 Wed, 2013-09-11 12:30 Jefferson Lab Weekly Briefs September 11

  16. 2013 - 12 | Jefferson Lab

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    2 Dec 2013 Wed, 2013-12-18 15:04 Jefferson Lab Weekly Briefs December 18, 2013 Wed, 2013-12-11 14:43 Jefferson Lab Weekly Briefs December 11, 2013 Wed, 2013-12-04 13:07 Jefferson Lab Weekly Briefs December 4

  17. 2014 - 06 | Jefferson Lab

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    6 Jun 2014 Wed, 2014-06-25 17:23 Jefferson Lab Weekly Briefs June 25, 2014 Wed, 2014-06-11 18:12 Jefferson Lab Weekly Briefs June 11, 2014 Wed, 2014-06-04 19:13 Jefferson Lab Weekly Briefs June 4

  18. 2014 - 08 | Jefferson Lab

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    8 Aug 2014 Wed, 2014-08-20 18:43 Jefferson Lab Weekly Briefs August 20, 2014 Wed, 2014-08-13 18:59 Jefferson Lab Weekly Briefs August 13, 2014 Wed, 2014-08-06 19:11 Jefferson Lab Weekly Briefs August 6

  19. 2014 - 12 | Jefferson Lab

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    2 Dec 2014 Wed, 2014-12-17 16:26 Jefferson Lab Weekly Briefs December 17, 2014 Wed, 2014-12-10 17:59 Jefferson Lab Weekly Briefs December 10, 2014 Wed, 2014-12-03 17:13 Jefferson Lab Weekly Briefs December 3

  20. 2015 - 05 | Jefferson Lab

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    5 May 2015 Wed, 2015-05-20 15:37 Jefferson Lab Weekly Briefs May 20, 2015 Wed, 2015-05-13 11:35 Jefferson Lab Weekly Briefs May 13, 2015 Wed, 2015-05-06 13:21 Jefferson Lab Weekly Briefs May 6

  1. 2015 - 09 | Jefferson Lab

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    9 Sep 2015 Wed, 2015-09-23 17:31 Jefferson Lab Weekly Briefs September 23, 2015 Wed, 2015-09-16 17:02 Jefferson Lab Weekly Briefs September 16, 2015 Wed, 2015-09-02 16:58 Jefferson Lab Weekly Briefs September 2

  2. 2015 - 12 | Jefferson Lab

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    2 Dec 2015 Wed, 2015-12-23 08:12 Jefferson Lab Weekly Briefs December 23, 2015 Wed, 2015-12-16 14:44 Jefferson Lab Weekly Briefs December 16, 2015 Wed, 2015-12-09 17:20 Jefferson Lab Weekly Briefs December 10

  3. 2016 - 04 | Jefferson Lab

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    4 Apr 2016 Wed, 2016-04-27 18:42 Jefferson Lab Weekly Briefs April 28, 2016 Thu, 2016-04-14 08:07 Jefferson Lab Weekly Briefs April 13, 2016 Wed, 2016-04-06 17:19 Jefferson Lab Weekly Briefs April 6

  4. 2016 - 05 | Jefferson Lab

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    5 May 2016 Wed, 2016-05-18 17:17 Jefferson Lab Weekly Briefs May 18, 2016 Wed, 2016-05-11 17:08 Jefferson Lab Weekly Briefs May 11, 2016 Thu, 2016-05-05 11:23 Jefferson Lab Weekly Briefs May 5

  5. 2001 - 03 | Jefferson Lab

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    3 Mar 2001 Wed, 2001-03-21 13:00 Six NN High School Students Win Jefferson Lab Externships Wed, 2001-03-21 13:00 Jones O. &amp; Associates of Hampton wins Jefferson Lab's annual Small Disadvantaged Business Subcontractor award Wed, 2001-03-14 13:00 Jefferson Lab Seeks Applicants for Science Teacher Enrichment Program

  6. 2003 - 09 | Jefferson Lab

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    9 Sep 2003 Mon, 2003-09-29 14:00 Jefferson Lab announces Oct. 7 Fall Science Series event Tue, 2003-09-09 14:00 Female physicists lead the way on Jefferson Lab experiment Fri, 2003-09-05 14:00 Jefferson Lab announces Fall Science Series line up

  7. 2004 - 04 | Jefferson Lab

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    4 Apr 2004 Thu, 2004-04-15 14:00 Jefferson Lab recognizes its Outstanding Small Business Contractor for FY 2003 Mon, 2004-04-12 14:00 Jefferson Lab invites families, groups to Summer Physics Fests Mon, 2004-04-12 14:00 Jefferson Lab's Science Education Website Helps Students Prepare for Upcoming Standards of Learning Tests

  8. 2008 - 11 | Jefferson Lab

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    1 Nov 2008 Fri, 2008-11-14 13:00 Jefferson Lab News - Jefferson Lab Lecture to Celebrate 50th Anniversary of the Laser Thu, 2008-11-13 13:00 Jefferson Lab Boasts Virginia's Fastest Computer Fri, 2008-11-07 14:00 NASA Expert Discusses NextGen - the Next Generation Air Transportation System on Nov. 18

  9. Humidity trends imply increased sensitivity to clouds in a warming...

    Office of Scientific and Technical Information (OSTI)

    is modulated by cloud properties; however, CRE also depends on humidity because clouds emit at wavelengths that are semi-transparent to greenhouse gases, most notably water vapour. ...

  10. H I, CO, and Planck/IRAS dust properties in the high latitude cloud complex, MBM 53, 54, 55 and HLCG 92 – 35. Possible evidence for an optically thick H I envelope around the CO clouds

    SciTech Connect (OSTI)

    Fukui, Yasuo; Okamoto, Ryuji; Kaji, Ryohei; Yamamoto, Hiroaki; Torii, Kazufumi; Hayakawa, Takahiro; Tachihara, Kengo; Okuda, Takeshi; Ohama, Akio; Kuroda, Yutaka; Kuwahara, Toshihisa; Dickey, John M.

    2014-11-20

    We present an analysis of the H I and CO gas in conjunction with the Planck/IRAS submillimeter/far-infrared dust properties toward the most outstanding high latitude clouds MBM 53, 54, 55 and HLCG 92 – 35 at b = –30° to – 45°. The CO emission, dust opacity at 353 GHz (τ{sub 353}), and dust temperature (T {sub d}) show generally good spatial correspondence. On the other hand, the correspondence between the H I emission and the dust properties is less clear than in CO. The integrated H I intensity W{sub H} {sub I} and τ{sub 353} show a large scatter with a correlation coefficient of ∼0.6 for a T {sub d} range from 16 K to 22 K. We find, however, that W{sub H} {sub I} and τ{sub 353} show better correlation for smaller ranges of T {sub d} every 0.5 K, generally with a correlation coefficient of 0.7-0.9. We set up a hypothesis that the H I gas associated with the highest T {sub d} ≥ 21.5 K is optically thin, whereas the H I emission is generally optically thick for T {sub d} lower than 21.5 K. We have determined a relationship for the optically thin H I gas between atomic hydrogen column density and τ{sub 353}, N{sub H} {sub I} (cm{sup −2})=(1.5×10{sup 26})⋅τ{sub 353}, under the assumption that the dust properties are uniform and we have applied this to estimate N{sub H} {sub I} from τ{sub 353} for the whole cloud. N{sub H} {sub I} was then used to solve for T {sub s} and τ{sub H} {sub I} over the region. The result shows that the H I is dominated by optically thick gas having a low spin temperature of 20-40 K and a density of 40-160 cm{sup –3}. The H I envelope has a total mass of ∼1.2 × 10{sup 4} M {sub ☉}, an order of magnitude larger than that of the CO clouds. The H I envelope properties derived by this method do not rule out a mixture of H I and H{sub 2} in the dark gas, but we present indirect evidence that most of the gas mass is in the atomic state.