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1

Status of the Broadband Heating Rate Profile (BBHRP) VAP  

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

Status of the Broadband Heating Rate Profile (BBHRP) VAP Status of the Broadband Heating Rate Profile (BBHRP) VAP Mlawer, Eli Atmospheric & Environmental Research, Inc. Clough, Shepard Atmospheric and Environmental Research Delamere, Jennifer Atmospheric and Environmental Research, Inc. Miller, Mark Brookhaven National Laboratory Johnson, Karen Brookhaven National Laboratory Troyan, David Brookhaven National Laboratory Jensen, Michael Brookhaven National Laboratory Shippert, Timothy Pacific Northwest National Laboratory Long, Chuck Pacific Northwest National Laboratory Flynn, Connor Pacific Northwest National Laboratory Sivaraman, Chitra Pacific Northwest National Laboratory Turner, David University of Wisconsin-Madison Heck, Patrick University of Wisconsin Rutan, David Analytical Services & Materials, Inc.

2

ARM - VAP Product - surfspecalb1mlawer  

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

Productssurfspecalbsurfspecalb1mlawer Productssurfspecalbsurfspecalb1mlawer Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1095394 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : SURFSPECALB1MLAWER Surface Spectral Albedo Active Dates 1998.04.07 - 2013.11.04 Originating VAP Process Surface Spectral Albedo : SURFSPECALB Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Best estimate Best measured hemispheric broadband irradiance from mfrsrC1 W/m^2 be_hemisp_broadband_mfrsr ( time )

3

ARM - Evaluation Product - Broadband Heating Rate Profile Project (BBHRP)  

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

ProductsBroadband Heating Rate Profile Project ProductsBroadband Heating Rate Profile Project (BBHRP) Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Broadband Heating Rate Profile Project (BBHRP) 2000.03.01 - 2006.02.28 Site(s) SGP General Description The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties

4

The Broadband Heating Rate Profile (BBHRP) VAP  

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

brown-97.pdf Clothiaux, E. E., T. P. Ackerman, G. G. Mace, K. P. Moran, R. T. Marchand, M. Miller, and B. E. Martner, 2000: Objective determination of cloud heights and...

5

mlawer-99.PDF  

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

Recent Developments in the Water Vapor Continuum Recent Developments in the Water Vapor Continuum E. J. Mlawer, S. A. Clough, and P. D. Brown Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts D. C. Tobin University of Wisconsin Madison, Wisconsin Introduction A key development in the understanding of radiative transfer in the longwave was the introduction of the CKD continuum model (Clough et al. 1989), the success of which effectively ended speculation that there is significant longwave continuum absorption due to water vapor dimers or multimers. With the water vapor continuum defined as any observed absorption due to water vapor not attributable to the Lorentz line contribution (a) within 25 cm -1 of each line, a water vapor monomer line shape formalism was semi-empirically derived and consistently applied to all water vapor lines from the microwave to

6

Mlawer-EJ  

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

Spectral Direct and Spectral Direct and Diffuse Solar Irradiance Measurements and Calculations for Cloud-Free Conditions E. J. Mlawer, P. D. Brown, and S. A. Clough Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts L. C. Harrison, J. J. Michalsky, and P. W. Kiedron Atmospheric Sciences Research Center State University of New York at Albany Albany, New York T. Shippert Pacific Northwest National Laboratory Richland, Washington Introduction The comparison of spectral measurements and calculations provides an excellent foundation for analyzing the ability of models to compute the solar irradiance absorbed in the atmosphere. Since molecular absorption bands have distinctive spectral signatures, the absence of an atmospheric absorber in a model would result in spectral measurement-model residuals qualitatively different from those

7

mlawer(2)-98.PDF  

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

3 3 Shortwave Clear-Sky Model-Measurement Intercomparison Using RRTM E. J. Mlawer and S. A. Clough Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts S. Kato NASA-Langley Research Center Hampton, Virginia Introduction The rapid radiative transfer model (RRTM) was developed as part of the Atmospheric Radiation Measurement (ARM) Program. The longwave portion of the model has been extensively validated (Mlawer et al. 1997) and has been successfully incorporated into climate models (Iacono et al. 1998). In the shortwave, direct-beam calculations using RRTM have been compared (Mlawer and Clough 1997; Mlawer and Clough 1998) to those of the line-by-line radiative transfer model (LBLRTM) (Clough and Iacono 1995) and were shown to agree to within 1 W m

8

BBHRP_poster_ARM08.ppt  

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

Radiative Flux Closure Under Cloudy Conditions from a "Shadow" Dataset Radiative Flux Closure Under Cloudy Conditions from a "Shadow" Dataset L. Oreopoulos 1 , E. Mlawer 2 , T. Shippert 3 , and J. Delamere 2 , 1. JCET- University of Maryland Baltimore County 2. Atmospheric and Environmental Research Inc. 3. Pacific Northwest National Laboratory To learn when and why we succeed or fail to achieve radiative flux closure (RFC) under cloudy conditions in BBHRP. Our goal Ice vs. mixed vs. liquid clouds How do we learn from such an approach? Specific tests If the RT models generally agree, but disagree with the observations for particular types of conditions, there is greater likelihood that there are flaws in the input. If on the other hand, for the same conditions the models give a wide range of answers, with some being close and some being far

9

Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe1mcfarlane  

SciTech Connect (OSTI)

The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

Riihimaki, Laura; Shippert, Timothy

2014-11-05T23:59:59.000Z

10

Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe370mcfarlane  

SciTech Connect (OSTI)

The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

Riihimaki, Laura; Shippert, Timothy

2014-11-05T23:59:59.000Z

11

Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe1mcfarlane  

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

The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

Riihimaki, Laura; Shippert, Timothy

12

Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe370mcfarlane  

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

The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

Riihimaki, Laura; Shippert, Timothy

13

Broadband Heating Rate Profile Project (BBHRP) - SGP 1bbhrpripbe1mcfarlane  

SciTech Connect (OSTI)

The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

Riihimaki, Laura; Shippert, Timothy

2014-11-05T23:59:59.000Z

14

Broadband Heating Rate Profile Project (BBHRP) - SGP 1bbhrpripbe1mcfarlane  

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

The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

Riihimaki, Laura; Shippert, Timothy

15

ARM - VAP Suggestion Form  

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

ProductsVAP Suggestion Form ProductsVAP Suggestion Form Showcase Data ARM Best Estimate Data Products (ARMBE) This is a collection of data products that represents "best estimates" derived from several instruments and/or VAPs. We are interested in your feedback; please contact us. VAP Update Information on new, existing, and future value-added products for July-September 2013 is now available. Have a VAP idea? Use this form to let us know. Datastream Status Further details on the status of VAPs being processed or developed, can be found at on the ARM Value-Added Product (VAP) Status web page. Use the Data File Inventory tool to view VAP data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Suggestion Form

16

ARM - VAP Process - pblht  

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

Productspblht Productspblht Documentation & Plots Technical Report Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Planetary Boundary Layer Height (PBLHT) Instrument Categories Atmospheric Profiling Quicklook plot showing all PBL height estimates produced by the PBLHT VAP for the 05:30 UTC, April 10, 2004, radiosonde at the Southern Great Plains (SGP) site. Quicklook plot showing all PBL height estimates produced by the PBLHT VAP for the 05:30 UTC, April 10, 2004, radiosonde at the Southern Great Plains (SGP) site. Annual summary of PBL height estimates produced by the VAP Liu-Liang method for 2004 at SGP. Annual summary of PBL height estimates produced by the VAP Liu-Liang method

17

ARM - VAP Process - sfccldgrid  

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

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

18

ARM - VAP Process - baebbr  

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

Productsbaebbr Productsbaebbr Documentation & Plots Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Best-Estimate Fluxes From EBBR Measurements and Bulk Aerodynamics Calculations (BAEBBR) Instrument Categories Derived Quantities and Models The BAEBBR VAP calculates the bulk aerodynamic latent and sensible heat fluxes from Energy Balance Bowen Ratio (EBBR) Station meteorological measurements and uses these in place of the EBBR flux measurements when the Bowen ratio is between -1.6 and -0.45. The resultant dataset is considered to provide the "best estimate" of the diurnal cycle of fluxes. For more details, see http://science.arm.gov/vaps/baebbr.stm.

19

ARM - VAP Process - interpsonde  

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

Productsinterpsonde Productsinterpsonde Documentation & Plots Technical Report Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Interpolated Sonde (INTERPSONDE) Instrument Categories Atmospheric Profiling, Derived Quantities and Models The INTERPSONDE value-added product (VAP) is a modification of the MERGESONDE VAP that produces a daily file of thermodynamic variables from radiosonde soundings, the microwave radiometer, and surface meteorological instruments. This product does not incorporate ECMWF model output. INTERPSONDE includes many of the same sophisticated scaling/interpolation/smoothing schemes that are the hallmark of MERGESONDE, but there are benefits to excluding ECMWF model output. These

20

ARM - VAP Product - armbecldrad  

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

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

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


21

ARM - VAP Process - surfspecalb  

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

Productssurfspecalb Productssurfspecalb Documentation & Plots Technical Report Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Surface Spectral Albedo (SURFSPECALB) Instrument Categories Surface/Subsurface Properties Example quicklook from the SURFSPECALB VAP. The plot shows the estimated spectral albedo at SGP for the 10-m and 25-m towers on September 11, 2004. On this day, the surface type for both towers is partial vegetation. Example quicklook from the SURFSPECALB VAP. The plot shows the estimated spectral albedo at SGP for the 10-m and 25-m towers on September 11, 2004. On this day, the surface type for both towers is partial vegetation.

22

ARM - VAP Process - gvrpwv  

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

Productsgvrpwv Productsgvrpwv Documentation & Plots Technical Report Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : G-Band Vapor Radiometer Precipitable Water Vapor (GVRPWV) Instrument Categories Radiometric The G-Band Vapor Radiometer Precipitable Water Vapor (GVRPWV) value-added product (VAP) computes precipitable water vapor using neural network techniques from data measured by the GVR. The GVR reports time-series measurements of brightness temperatures for four channels located at 183.3 ± 1, 3, 7, and 14 GHz. For more details, see the technical report. Output Products gvr : G-band (183 GHz) Vapor Radiometer Primary Measurements The following measurements are those considered scientifically relevant.

23

ARM - VAP Process - aod  

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

Productsaod Productsaod Documentation & Plots Technical Report (1) Technical Report (2) Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Aerosol Optical Depth (AOD) Instrument Categories Derived Quantities and Models The core purpose of the ARM Facility is to reduce uncertainties in climate model predictions. A dominant source of uncertainty in these models is the radiative impact of aerosols, which has spawned a major effort in ARM to measure aerosol properties. The Aerosol Optical Depth (AOD) value-added product (VAP) is concerned with several important aerosol radiative properties. The most important of these is the aerosol optical depth (AOD), which is a measure of the total aerosol

24

ARM - VAP Process - aip  

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

Productsaip Productsaip Documentation & Plots Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Aerosol Intensive Properties (AIP) Instrument Categories Aerosols The aip1ogren value-added product (VAP) computes several aerosol intensive properties. It requires as input calibrated, corrected, aerosol extensive properties from the Aerosol Observing Station (AOS). Aerosol extensive properties depend on both the nature of the aerosol and the amount of the aerosol. Intensive properties are independent of aerosol amount, depending only on the nature of the specific aerosol. The intensive properties of hygroscopic growth factor, aerosol single-scattering albedo,

25

ARM - VAP Process - diffcor  

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

Productsdiffcor Productsdiffcor Documentation & Plots Technical Report Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Correction of Diffuse Shortwave Measurements (DIFFCOR) Instrument Categories Derived Quantities and Models The DIFFCORR1DUTT VAP uses two techniques to correct shortwave (SW) data during daytime hours, using information from a collocated pyrgeometer. First, the detector-only correction technique uses data in the form of irradiance loss from the pyrgeometer detector. Second, the full-correction technique uses information from collocated pyrgeometer detector data, plus the difference between the case and dome temperatures. Both techniques

26

ARM - VAP Process - mplnor  

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

Productsmplnor Productsmplnor Documentation & Plots Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Normalized Backscatter Profiles from the Micropulse Lidar (MPLNOR) Instrument Categories Cloud Properties This VAP has two primary purposes: to apply the appropriate corrections to create normalized backscatter profiles from the MPL, and to detect all significant cloud boundaries from this normalized dataset. The corrections included in the normalization process include background subtraction, a correction for the afterpulsing (ringing) of the detector, an correction for the disparity between the laser and detector's field-of-view (overlap),

27

ARM - VAP Product - armbeatm  

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

Productsarmbearmbeatm Productsarmbearmbeatm Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1095313 DOI: 10.5439/1039931 Central Facility, Lamont, OK (SGP C1) DOI: 10.5439/1039932 Central Facility, Barrow AK (NSA C1) DOI: 10.5439/1039933 Central Facility, Manus I., PNG (TWP C1) DOI: 10.5439/1039934 Central Facility, Nauru Island (TWP C2) DOI: 10.5439/1039935 Central Facility, Darwin, Australia (TWP C3) [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : ARMBEATM ARMBE: Atmospheric measurements Active Dates 1994.01.01 - 2012.12.31 Originating VAP Process ARM Best Estimate Data Products : ARMBE Description The ARM Best Estimate Atmospheric Measurements (ARMBEATM) value-added

28

ARM - VAP Product - aosccnavg  

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

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

29

ARM - VAP Process - visst  

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

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

30

ARM - VAP Process - tdmadap  

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

Productstdmadap Productstdmadap Documentation & Plots tdmadap : XDC documentation Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Aerosol Properties derived from TDMA Measurements (TDMADAP) Instrument Categories Aerosols Output Products tdmaccncoll : Tandem Differential Mobility Analyzer: Cloud Condensation Nuclei -- D. Collins Primary Measurements The following measurements are those considered scientifically relevant. Cloud condensation nuclei Locations Southern Great Plains SGP X1 Browse Data External Data (satellites and others) Contact(s) Alison Tilp (631) 344-4465 tilp@bnl.gov Alison Tilp Developer (631) 344-4465 tilp@bnl.gov Connor Flynn Translator

31

ARM - VAP Process - rlprof  

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

Productsrlprof Productsrlprof Documentation & Plots Technical Report Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Raman LIDAR Vertical Profiles (RLPROF) Instrument Categories Aerosols, Atmospheric Profiling, Derived Quantities and Models Rlprof data flow diagram Rlprof data flow diagram Data flowchart for the RLPROF family. (Larger image available.) The Raman lidar automatically attempts to reoptimize the position of the laser beam in the detector's field-of-view every few hours (this is required for most narrow field-of-view lidar systems). However, this can introduce alignment artifacts in the narrow field-of-view data due to the way the detection channels are arranged on the optical bench. A suite of

32

ARM - VAP Process - mwrret  

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

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

33

ARM - VAP Process - aosccnavg  

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

Productsaosccnavg Productsaosccnavg Documentation & Plots Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Aerosol Observing System (AOS): cloud condensation nuclei data, averaged (AOSCCNAVG) Instrument Categories Aerosols This value-added product was developed to consolidate the relevant cloud condensation nuclei (CCN) parameters into a single file and averaged the data over the 5-minute integration time of each percent supersaturation (%ss) value. The surface sites measure the CCN concentration at several supersaturations using a single-column CCN counter (Roberts and Nenes, 2005). The percent supersaturation of the instrument is stepped through

34

ARM - VAP Process - abrfc  

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

Productsabrfc Productsabrfc Documentation & Plots abrfc : XDC documentation Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Arkansas-Red Basin River Forecast Center (ABRFC) Instrument Categories Surface Meteorology General Overview Every hour a gridded (4 km x 4 km) precipitation field is created. This field is a combination of both WSR-88D Nexrad radar precipitation estimates and rain gauge reports. The ABRFC performs extensive quality control on these data. For more details, see the External Data Center web page. Output Products abrfcprecip : Arkansas-Red Basin River Forecast Center: estimated precipitation Primary Measurements The following measurements are those considered scientifically relevant.

35

ARM - VAP Process - twrmr  

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

Productstwrmr Productstwrmr Documentation & Plots Technical Report Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Tower Water-Vapor Mixing Ratio (TWRMR) Instrument Categories Atmospheric Profiling The primary purpose of this algorithm is to calculate water-vapor mixing ratio at the 25- and 60-m levels of the tower at the Southern Great Plains (SGP) Central Facility. Since there are no barometric pressure sensors at those levels on the tower, the hypsometric equation is used along with pressure values from either the Surface Meteorological Observation System (SMOS) or the Temperature, Humidity, Wind, and Pressure System (THWAPS) to derive barometric pressures at those altitudes. After this is done, water

36

ARM - VAP Product - 1twrmr  

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

Send Example 1twrmr Data Plot Example 1twrmr data plot VAP Output : 1TWRMR Sixty Meter Tower: mixing ratio at surface, 25-m, and 60-m, 1-min average Active Dates 1998.04.01...

37

ARM - VAP Product - 30twrmr  

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

Send Example 30twrmr Data Plot Example 30twrmr data plot VAP Output : 30TWRMR Sixty meter tower: mixing ratio at surface, 25-m, and 60-m, 30-min avg Active Dates 1998.04.01 -...

38

Slide 1  

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

CLOWD BBHRP Retrieval Algorithm Intercomparison Jennifer Comstock David Turner Andy Vogelmann Chaomei Lo Tim Shippert Sally McFarlane Eli Mlawer Objectives 1. Use BBHRP framework...

39

ARM - VAP Product - 30baebbr  

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

Productsbaebbr30baebbr Productsbaebbr30baebbr Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027268 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example 30baebbr Data Plot Example 30baebbr data plot VAP Output : 30BAEBBR EBBR: bulk aerodynamic estimates of sensible & latent heat fluxes, 30-min Active Dates 1993.07.04 - 2013.12.31 Originating VAP Process Best-Estimate Fluxes From EBBR Measurements and Bulk Aerodynamics Calculations : BAEBBR Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Aerodynamic latent heat flux W/m^2 aerodynamic_latent_heat_flux ( time )

40

ARM - VAP Product - mergesonde1mace  

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

Merged Sounding profiles derived with first Mace algorithm Active Dates 1996.07.15 - 2014.12.30 Originating VAP Process Merged Sounding : MERGESONDE Measurements The...

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


41

ARM - Evaluation Product - Organic Aerosol Component VAP  

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

ProductsOrganic Aerosol Component VAP ProductsOrganic Aerosol Component VAP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Organic Aerosol Component VAP 2011.01.08 - 2012.03.24 Site(s) SGP General Description Organic aerosol (OA, i.e., the organic fraction of particles) accounts for 10-90% of the fine aerosol mass globally and is a key determinant of aerosol radiative forcing. But atmospheric OA is poorly characterized and its life cycle insufficiently represented in models. As a result, current models are unable to simulate OA concentrations and properties. This deficiency represents a large source of uncertainty in the quantification of aerosol direct and indirect effects and the prediction of future climate change. The Organic Aerosol Component (OACOMP) value-added product (VAP) uses

42

ARM - Evaluation Product - Merged Sounding VAP  

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

ProductsMerged Sounding VAP ProductsMerged Sounding VAP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Merged Sounding VAP Site(s) FKB GRW HFE NIM NSA PYE SGP TWP General Description This value-added product (VAP) uses a combination of observations from radiosonde soundings, the microwave radiometer, surface meteorological instruments, and ECMWF model output with a sophisticated scaling/interpolation/smoothing scheme in order to define profiles of the atmospheric thermodynamic state. These profiles are calculated at one-minute time resolution and 266 vertical levels which vary such that greater detail (20 meters) is captured near the surface with the resolution becoming coarser (200 meters) as the maximum altitude - 20 km above mean

43

ARM - VAP Process - armbe2dgrid  

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

ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send VAP : ARMBE 2D gridded surface dataset (ARMBE2DGRID...

44

BBHRP Assessment Using Ground and Satellite-based High Spectral Resolution  

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

BBHRP Assessment Using Ground and Satellite-based High Spectral Resolution BBHRP Assessment Using Ground and Satellite-based High Spectral Resolution Infrared Observations Revercomb, Henry University of Wisconsin-Madison DeSlover, Daniel University of Wisconsin Holz, Robert University of Wisconsin, CIMMS Knuteson, Robert University Of Wisconsin Li, Jun University of Wisconsin-Madison Moy, Leslie University of Wisconsin-Madison Tobin, David University of Wisconsin-Madison Turner, David University of Wisconsin-Madison Category: Radiation The overall objective of this research is to support the ARM BBHRP measurement-model comparison effort that will couple heating rates based on ARM data more directly into SCM and GCM models. We are making use of high spectral resolution infrared satellite, aircraft, and ground based data for

45

ARM - VAP Product - 10rlprofdep1turn  

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

rlprofdep1turn rlprofdep1turn Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027252 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example 10rlprofdep1turn Data Plot Example 10rlprofdep1turn data plot VAP Output : 10RLPROFDEP1TURN 10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm Active Dates 1998.03.01 - 2013.12.28 Originating VAP Process Raman LIDAR Vertical Profiles : RLPROF Description The primary goal of the Raman Lidar Profiles - Depolarization Ratio (RLPROF_DEP) VAP is to produce linear depolarization ratio profiles. Linear depolarization is defined as the ratio of the cross-polarized return to the

46

ARM - VAP Product - mfrsrcldod1min  

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

Productsmfrsrcldodmfrsrcldod1min Productsmfrsrcldodmfrsrcldod1min Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027296 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : MFRSRCLDOD1MIN Derived: Cloud Optical Properties from MFRSR, MWR, Langley Analysis Active Dates 1997.08.21 - 2013.10.08 Originating VAP Process Cloud Optical Properties from MFRSR Using Min Algorithm : MFRSRCLDOD Description The mfrsrcldod1min value-added product produces cloud optical properties (optical depth and effective radius) from multi-filter rotating shadowband radiometer (MFRSR) , micorwave radiomter (MWR) and the Langley analysis Value Added Product (Langley VAP).

47

ARM - VAP Product - pblhtsonde1mcfarl  

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

Productspblhtpblhtsonde1mcfarl Productspblhtpblhtsonde1mcfarl Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1095386 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : PBLHTSONDE1MCFARL Planetary Boundary Layer Height Value Added Product: Radiosonde Retrievals Active Dates 2001.04.01 - 2014.01.08 Originating VAP Process Planetary Boundary Layer Height : PBLHT Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Dry bulb ambient air temperature degC air_temp ( time ) Altitude above mean sea level m alt Atmospheric pressure hPa atm_pres ( time )

48

ARM - VAP Product - 10rlprofbe1turn  

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

turn turn Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027251 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example 10rlprofbe1turn Data Plot Example 10rlprofbe1turn data plot VAP Output : 10RLPROFBE1TURN Raman LIDAR (RL): Best-estimate state of the atmos. profiles from RL & AERI+GOES retrievals Active Dates 1998.03.01 - 2004.01.06 Originating VAP Process Raman LIDAR Vertical Profiles : RLPROF Measurements The measurements below provided by this product are those considered scientifically relevant. Aerosol optical depth Aerosol scattering Backscatter depolarization ratio Backscattered radiation Cloud base height Liquid water content

49

ARM - VAP Product - pblhtsondeyr1mcfarl  

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

Productspblhtpblhtsondeyr1mcfarl Productspblhtpblhtsondeyr1mcfarl Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1095387 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : PBLHTSONDEYR1MCFARL Planetary Boundary Layer Height: Radiosonde Retrievals with yearly output Active Dates 2001.04.01 - 2012.12.31 Originating VAP Process Planetary Boundary Layer Height : PBLHT Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable Altitude above mean sea level m alt ( time ) Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Day unitless day ( time )

50

ARM - VAP Product - rlccnprof1ghan  

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

Productsccnprofrlccnprof1ghan Productsccnprofrlccnprof1ghan Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1095389 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : RLCCNPROF1GHAN CCN Profile using Ghan algorithm Active Dates 2006.09.15 - 2013.09.27 Originating VAP Process Cloud Condensation Nuclei Profile : CCNPROF Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable AOS CCN sample supersaturation calculated by model % CCN_ss_calc ( time, ss_step ) Standard deviation of AOS CCN sample supersaturation calculated by model. % CCN_ss_calc_std_dev ( time, bins )

51

ARM - VAP Product - mwrret1liljclou  

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

Productsmwrretmwrret1liljclou Productsmwrretmwrret1liljclou Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027369 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : MWRRET1LILJCLOU Microwave Radiometer Retrievals (MWRRET) of Cloud Liquid Water and Precipitable Water Vapor Active Dates 1996.09.01 - 2014.01.05 Originating VAP Process MWR Retrievals : MWRRET Measurements Only measurements considered scientifically relevant are shown below by default. Show all measurements Measurement Units Variable altitude m alt Base time in Epoch seconds since 1970-1-1 0:00:00 0:00 base_time Liquid water path Liquid water path best-estimate value g/m^2 be_lwp ( time )

52

ARM - VAP Product - mfrsraod1mich  

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

Productsaodmfrsraod1mich Productsaodmfrsraod1mich Documentation Technical Report Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027295 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : MFRSRAOD1MICH MFRSR: derived total & aerosol optical depth from 1st Michalsky algorithm Active Dates 1997.02.08 - 2013.10.31 Originating VAP Process Aerosol Optical Depth : AOD Description These two images show data plots of cloud-screened AOD at the AMF site in China collected on a 20-second interval during daylight hours. These two days show drastically different aerosol optical depths. These two images show data plots of cloud-screened AOD at the AMF site in

53

ARM - VAP Process - goes-uth  

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

Productsgoes-uth Productsgoes-uth Documentation & Plots goes-uth : XDC documentation Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Upper Tropospheric Relative Humidity from GOES Satellite Data (GOES-UTH) Instrument Categories Satellite Observations Output Products goes12uth : GOES-12: upper tropospheric humidity goes12uthgrid : GOES-12: upper tropospheric humidity (0.5 degree grid) goes8uth : GOES-8: upper tropospheric humidity goes8uthgrid : GOES-8: upper tropospheric humidity (0.5 degree grid) goes9uth : Upper Tropospheric Relative Humidity (GOES-9) goes9uthgrid : (GOES-9) Upper Tropospheric Relative Humidity Gridded Primary Measurements The following measurements are those considered scientifically relevant.

54

ARM - VAP Product - aeri01prof3feltz  

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

Productsaeriprofaeri01prof3feltz Productsaeriprofaeri01prof3feltz Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027271 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : AERI01PROF3FELTZ Profiles of temperature and water vapor physically retrieved from the AERI spectra Active Dates 2002.04.18 - 2014.01.06 Originating VAP Process AERI Profiles of Water Vapor and Temperature : AERIPROF Description The primary purpose of the "aeriprof3feltz" value-added product (VAP) is to retrieve high temporal resolution temperature (T) and water vapor (q) profiles from Atmospheric Emitted Radiance Interferometer (AERI) observations. Traditionally, temperature and moisture profiles are measured

55

Slide 1  

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

10-13, 2008 ARM Science Team Meeting Time Slice versus Hemispheric Cloud Amount: Impact on Statistics and BBHRP Calculations Chuck Long, Shaocheng Xie, Sally McFarlane, Eli Mlawer,...

56

Recovered File 1  

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

Broadband Heating Rate Profile Broadband Heating Rate Profile (BBHRP) Project Howard Barker Meteorological Service of Canada Matthew Shupe, Robert Pincus NOAA - CIRES Jim Liljegren Argonne National Laboratory Joe Michalsky NOAA ARL Mandy Khaiyer, David Rutan, Rich Ferrare, Dave Doelling, Pat Minnis NASA - LaRC Robert Ellingson Florida State University Ric Cederwall, Shaocheng Xie, John Yio, Steve Klein Lawrence Livermore National Laboratory Dave Turner, Patrick Heck University of Wisconsin-Madison Tim Shippert, Chuck Long, Connor Flynn, Chitra Sivaraman Battelle PNNL Minghua Zhang SUNY - Stony Brook Mark Miller, Karen Johnson, David Troyan, Mike Jensen Brookhaven National Laboratory Eli Mlawer, Jennifer Delamere, Tony Clough, Mike Iacono Atmospheric and Environmental Research, Inc. Objectives of the Broadband Heating Rate Profile VAP

57

Techniques and Methods Used to Determine the Aerosol Best Estimate Value-Added Product at SGP Central Facility  

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Determine the Aerosol Best Estimate Value-Added Product at SGP Central Facility C. Sivaraman, D. D. Turner, and C. J. Flynn Pacific Northwest National Laboratory Richland, Washington Objective Profiles of aerosol optical properties are needed for radiative closure exercises such as the broadband heating rate profile (BBHRP) project (Mlawer et al. 2002) and the Shortwave Quality Measurement Experiment (QME). Retrieving cloud microphysical properties using radiation measurements in the shortwave, such as the spectral retrieval technique described in Daniel et al. (2002), also require the optical properties of the aerosols so that they can be accounted for in the retrieval process. The objective of the aerosol best estimate (ABE) value-added procedure (VAP) is to provide profiles of

58

ARM Climate Research Facility Spectral Surface Albedo Value-Added Product (VAP) Report  

SciTech Connect (OSTI)

This document describes the input requirements, output data products, and methodology for the Spectral Surface Albedo (SURFSPECALB) value-added product (VAP). The SURFSPECALB VAP produces a best-estimate near-continuous high spectral resolution albedo data product using measurements from multifilter radiometers (MFRs). The VAP first identifies best estimates for the MFR downwelling and upwelling shortwave irradiance values, and then calculates narrowband spectral albedo from these best-estimate irradiance values. The methodology for finding the best-estimate values is based on a simple process of screening suspect data and backfilling screened and missing data with estimated values when possible. The resulting best-estimate MFR narrowband spectral albedos are used to determine a daily surface type (snow, 100% vegetation, partial vegetation, or 0% vegetation). For non-snow surfaces, a piecewise continuous function is used to estimate a high spectral resolution albedo at 1 min temporal and 10 cm-1 spectral resolution.

McFarlane, S; Gaustad, K; Long, C; Mlawer, E

2011-07-15T23:59:59.000Z

59

ECOR VAP Flux Corrections, Gap-filling, and Results David R. Cook, Meredith Franklin, Donna J. Holdridge  

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

ECOR VAP Flux Corrections, Gap-filling, and Results ECOR VAP Flux Corrections, Gap-filling, and Results David R. Cook, Meredith Franklin, Donna J. Holdridge Argonne National Laboratory, Argonne, IL This work was supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Climate Change Research Division, under contract DE-AC02-06CH11357, as part of the Atmospheric Radiation Measurement Program. Argonne National Laboratory is managed by UChicago Argonne, LLC for the U.S. Department of Energy ABSTRACT An eddy correlation (ECOR) value-added product (VAP) has been developed that uses ECOR temperature, humidity, and wetness state (or default values of the same) to determine corrections to and gap-filling of the flux measurements. An outlier routine is used to remove obvious incorrect data before gap-filling is performed.

60

DOE/SC-ARM/P-07-005.1 ARM Value-Added Product (VAP) Monthly Status Report  

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

1 1 ARM Value-Added Product (VAP) Monthly Status Report ARM Translator Team J. Comstock C. Flynn M. Jensen C. Long D. Turner S. Xie March 13, 2007 Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service

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


61

ARM - Publications: Science Team Meeting Documents: The Status of the  

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

The Status of the Broadband Heating Rate Profile (BBHRP) Project The Status of the Broadband Heating Rate Profile (BBHRP) Project Mlawer, Eli Atmospheric & Environmental Research, Inc. Miller, Mark Brookhaven National Laboratory Shippert, Timothy Pacific Northwest National Laboratory Turner, David Pacific Northwest National Laboratory Xie, Shaocheng Lawrence Livermore National Laboratory Johnson, Karen Brookhaven National Laboratory Clough, Shepard Atmospheric and Environmental Research Zhang, Minghua State University of New York at Stony Brook Long, Chuck Pacific Northwest National Laboratory Delamere, Jennifer Atmospheric and Environmental Research, Inc. Troyan, David Brookhaven National Laboratory Bartholomew, Mary Jane Brookhaven National Laboratory Flynn, Connor Pacific Northwest National Laboratory

62

Aerosol Best Estimate Value-Added Product  

SciTech Connect (OSTI)

The objective of the Aerosol Best Estimate (AEROSOLBE) value-added product (VAP) is to provide vertical profiles of aerosol extinction, single scatter albedo, asymmetry parameter, and Angstroem exponents for the atmospheric column above the Central Facility at the ARM Southern Great Plains (SGP) site. We expect that AEROSOLBE will provide nearly continuous estimates of aerosol optical properties under a range of conditions (clear, broken clouds, overcast clouds, etc.). The primary requirement of this VAP was to provide an aerosol data set as continuous as possible in both time and height for the Broadband Heating Rate Profile (BBHRP) VAP in order to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Even though BBHRP has been completed, AEROSOLBE results are very valuable for environmental, atmospheric, and climate research.

Flynn, C; Turner, D; Koontz, A; Chand, D; Sivaraman, C

2012-07-19T23:59:59.000Z

63

1  

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

Broadband Heating Rate Product Flux Profiles Compared Broadband Heating Rate Product Flux Profiles Compared to Clouds and the Earth's Radiant Energy System Radiation Transfer Data Product D. Rutan and F. Rose Analytical Services and Materials Inc. Hampton, Virginia T. Charlock National Aeronautics and Space Administration-Langley Research Center Hampton, Virginia E. Mlawer Atmospheric and Environmental Research, Inc. Lexington, Massachusetts T. Shippert Pacific Northwest National Laboratory Richland, Washington S. Kato Hampton University Hampton, Virginia Introduction The Atmospheric Radiation Measurement (ARM) Program's Broadband Heating Rate Product (BBHRP) is designed to be a standard for validation of radiative heating rates computed by global climate models, cloud resolving models, etc. Inputs for the local scale BBHRP calculations are based on

64

ARM - Publications: Science Team Meeting Documents  

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Three-Dimensional Radiative Transfer Computations to Complement the ARM Three-Dimensional Radiative Transfer Computations to Complement the ARM Broadband Heating Rate Profile (BBHRP) Value Added Product (VAP) OHirok, W.(a), Gautier, C.(a), and Miller, M.A.(b), University of California, Santa Barbara (a), Brookhaven National Laboratory (b) Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting A core programmatic goal of ARM is to understand how cloud variability is associated with radiative flux variability. A major effort among the ARM working groups is now underway to produce the Broadband Heating Rate Profile (BBHRP) Value Added Product (VAP). The heating rate profiles are derived from Rapid Radiative Transfer Models (RRTMs) that use best estimates of cloud characteristics, gaseous profiles, aerosols and surface

65

ARM - VAP Product - aipavg1ogren  

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

cut 1Mm BaBDry10umPSAP3W1 ( time ) Aerosol absorption Absorption coefficient, green wavelength, low RH, 1 um size cut 1Mm BaGDry1umPSAP1W1 ( time ) Aerosol...

66

ARM - VAP Product - aip1ogren  

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

cut 1Mm BaBDry10umPSAP3W1 ( time ) Aerosol absorption Absorption coefficient, green wavelength, low RH, 1 um size cut 1Mm BaGDry1umPSAP1W1 ( time ) Aerosol...

67

ARM - Value-Added Product (VAP) Reports  

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

EE, MA Miller, RC Perez, DD Turner, KP Moran, BE Martner, TP Ackerman, GG Mace, RT Marchand, KB Widener, DJ Rodriguez, T Uttal, JH Mather, CJ Flynn, KL Gaustad, and B Ermold...

68

ARM - Publications: Science Team Meeting Documents: MICROBASE, A Continuous  

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

MICROBASE, A Continuous Baseline Microphysical Retrieval: Status and Future MICROBASE, A Continuous Baseline Microphysical Retrieval: Status and Future Plans Miller, Mark Brookhaven National Laboratory Johnson, Karen Brookhaven National Laboratory Michael, Paul Brookhaven National Laboratory Mace, Gerald University of Utah The MICROBASE_PI and MICROBASE_PA value-added products (VAPs) are integral components of the Broadband Heating Rate Profile (BBHRP) project of the Atmospheric Radiation Measurement (ARM) Program. The goal of the BBHRP project is to determine atmospheric heating and cooling rate profiles in the column above the active sensors at each ARM Climate Research Facility (ACRF) sites and within a larger volume around each site, representative of a global climate model grid cell. To produce the heating rate profiles,

69

ARM Poster 2007.ai  

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40 60 80 100120 Number Density (L -1 ) 3 4 5 6 7 8 9 Altitude (km) Further Development of Multi-Instrument Multi-Parameter Cloud Retrievals Richard Austin, Norm Wood, and Graeme Stephens Colorado State University, Fort Collins, Colorado *BUGSRAD computations also use BBHRP data sets and radiosonde profiles 1. The Problem Acknowledgements The work described here was supported by the Office of Science (BER), U. S. Dept. of Energy, Grant DE-FG02-05ER63961. We also thank Qilong Min and the BBHRP VAP team for providing data used in our analyses. References *Austin, R. T., and G. L. Stephens, 2001: J. Geophys. Res., 106, 28233-28242. *Benedetti, A., G. L. Stephens, and J. M. Haynes, 2003: J. Geophys. Res., 108, 4335, doi:10.1029/2002JD002693. *Min, Q.-L., M. Duan, and R. Marchand, 2003: J. Geophys. Res., 108,

70

Continuous Intercomparison of Radiation Codes (CIRC)  

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

Intercomparison of Intercomparison of Radiation Codes (CIRC) * Sponsored by ARM and endorsed by GEWEX Radiation Panel * Aims to become the standard for documenting the performance of SW and LW RT codes in Large-Scale Models * Goal is to have RT codes of IPCC models report performance against the CIRC cases * Phase I to be launched in the following weeks: http://www.circ-project.org Differences from previous intercomparisons: * Observation-tested LBL calculations to used as radiative benchmarks * Benchmark results are publicly available * ARM observations provide input (largely select BBHRP cases) * Flexible structure and longer lifespan than previous intercomparisons Core team: Oreopoulos, Mlawer, Delamere, Shippert CIRC Practical Challenges * For input and reference calculations to be credible, a reasonable level of

71

ARM - Evaluation Product - Radiatively Important Parameters Best Estimate  

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ProductsRadiatively Important Parameters Best ProductsRadiatively Important Parameters Best Estimate (RIPBE) Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Radiatively Important Parameters Best Estimate (RIPBE) 2002.03.01 - 2007.06.30 Site(s) SGP General Description The Radiatively Important Parameters Best Estimate (RIPBE) VAP combines multiple input datastreams, each with their own temporal and vertical resolution, to create a complete set of radiatively important parameters on a uniform vertical and temporal grid with quality control and source information for use as input to a radiative transfer model. One of the main drivers for RIPBE was to create input files for the BroadBand Heating Rate Profiles (BBHRP) VAP, but we also envision use of RIPBE files for user-run

72

Evaluation of GCM Column Radiation Models Under Cloudy Conditions with The Arm BBHRP Value Added Product  

SciTech Connect (OSTI)

The overarching goal of the project was to improve the transfer of solar and thermal radiation in the most sophisticated computer tools that are currently available for climate studies, namely Global Climate Models (GCMs). This transfer can be conceptually separated into propagation of radiation under cloudy and under cloudless conditions. For cloudless conditions, the factors that affect radiation propagation are gaseous absorption and scattering, aerosol particle absorption and scattering and surface albedo and emissivity. For cloudy atmospheres the factors are the various cloud properties such as cloud fraction, amount of cloud condensate, the size of the cloud particles, and morphological cloud features such as cloud vertical location, cloud horizontal and vertical inhomogeneity and cloud shape and size. The project addressed various aspects of the influence of the above contributors to atmospheric radiative transfer variability. In particular, it examined: (a) the quality of radiative transfer for cloudless and non-complex cloudy conditions for a substantial number of radiation algorithms used in current GCMs; (b) the errors in radiative fluxes from neglecting the horizontal variabiity of cloud extinction; (c) the statistical properties of cloud horizontal and vertical cloud inhomogeneity that can be incorporated into radiative transfer codes; (d) the potential albedo effects of changes in the particle size of liquid clouds; (e) the gaseous radiative forcing in the presence of clouds; and (f) the relative contribution of clouds of different sizes to the reflectance of a cloud field. To conduct the research in the various facets of the project, data from both the DOE ARM project and other sources were used. The outcomes of the project will have tangible effects on how the calculation of radiative energy will be approached in future editions of GCMs. With better calculations of radiative energy in GCMs more reliable predictions of future climate states will be attainable, thus affecting public policy decisions with great impact to public life.

Dr. Lazaros Oreopoulos and Dr. Peter M. Norris

2010-03-14T23:59:59.000Z

73

ARM AOS Processing Status and Aerosol Intensive Properties VAP  

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Andrews, and P. J. Sheridan National Oceanic and Atmospheric Administration Boulder, Colorado Abstract The Atmospheric Radiation Measurement (ARM) Aerosol Observing System (AOS)...

74

ARM - Data Announcements Article  

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November 12, 2009 [Data Announcements] November 12, 2009 [Data Announcements] Updated Evaluation Product Available for Calculating Surface Spectral Albedo Bookmark and Share Example of surface type estimation and high-resolution spectral albedo extrapolated from the MFR measurements at the 10-meter tower and at the 25-meter level on the 60-meter tower at the SGP Central Facility. Example of surface type estimation and high-resolution spectral albedo extrapolated from the MFR measurements at the 10-meter tower and at the 25-meter level on the 60-meter tower at the SGP Central Facility. An updated version of the Surface Spectral Albedo (SurfSpecAlb1Mlawer) value-added product (VAP) has been released as an Evaluation Product for the Southern Great Plains (SGP) site. The original version of the algorithm

75

ARM Value-Added Cloud Products: Description and Status  

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

76

ARM Climate Research Facility  

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6 6 ARM Climate Research Facility Spectral Surface Albedo Value-Added Product (VAP) Report S McFarlane K Gaustad C Long E Mlawer July 2011 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or

77

Slide 1  

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BBHRP: A Testbed for Cloud Retrieval Evaluation? Sally McFarlane CPWG Breakout Session; March 30, 2009 2 Introduction to BBHRP BroadBand Heating Rate Profile Project Concept...

78

Slide 1  

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VAP, GSWCorr VAP, and QCRad VAP at the following link: http:www.arm.govdatavapsall.php Summary * QCRad VAP output is now the ARM recommended measure for surface radiation...

79

Microsoft Word - turner-dd3.doc  

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

Pacific Northwest National Laboratory Richland, Washington S.A. Clough, K. Cady-Pereira, and E.J. Mlawer Atmospheric and Environmental Research Lexington, Massachusetts J.C....

80

ARM - Radiative Heating in Underexplored Bands Campaign-II (RHUBC...  

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Eli Mlawer, Principal Investigator Dave Turner, Principal Investigator Radiative Heating in Underexplored Bands Campaign-II (RHUBC-II) At an elevation of more than 5000...

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to obtain the most current and comprehensive results.


81

MS_07_Number_14.pdf  

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3 , Eli Mlawer 3 , Gerald Mace 4 Author Affiliations 1: 2: 3: 4: Mergedsounding Primer What is Mergedsounding? Mergedsounding provides a continuous thermodynamic profile of...

82

Delamere-JS  

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E. J. Mlawer, and S. A. Clough Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts K. H. Stamnes Stevens Institute of Technology Hoboken, New Jersey...

83

ARM - Publications: Science Team Meeting Documents  

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Using HIRS Radiances Delamere, J.S. (a), Iacono, M.J. (a), Mlawer, E.J. (a), Cady-Pereira, K. (a), Clough, S.A. (a), Stamnes, K. (b), and Bates, J.J. (c), Atmospheric and...

84

Slide 1  

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Cloud Properties and Heating Cloud Properties and Heating Rates in Tropical Cloud Systems Jennifer Comstock and Sally McFarlane Pacific Northwest National Laboratory Alain Protat Centre for Australian Weather and Climate Research Motivation Cloud properties retrievals Cloud process understanding Cloud Radiative forcing and heating rates Model evaluation on many scales (LES, CRM, SCM...) Quantified uncertainties are needed... 2 Retrieval Algorithm Evaluation within CPWG Past intercomparisons CLOWD - Clouds with Low Optical Water Depths (Turner et al. 2007) Ice Clouds - (Comstock et al. 2007) One retrieval does not fit all Present algorithm evaluation BBHRP Ice Cloud Retrievals at SGP - Microbase (Dunn, Jensen, Mace, Marchand) Arctic mixed phase clouds - BBHRP (Shupe, Turner) CLOWD - BBHRP Pt. Reyes AMF deployment

85

PowerPoint Presentation  

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STM BBHRP STM BBHRP NASA Langley Research Center / Atmospheric Sciences ARM March 10-14, 2008 Improvements in Broadband Shortwave and Longwave Fluxes over ARM Domains M.M. Khaiyer, D.R.Doelling, M.L. Nordeen, R. Palikonda, Y. Yi Science Systems and Applications, Inc. P. Minnis National Aeronautics and Space Administration Langley Research Center Climate Science Branch ARM STM BBHRP NASA Langley Research Center / Atmospheric Sciences ARM March 10-14, 2008 Introduction * NASA Langley Cloud Group provides broadband (BB) shortwave (SW) and longwave (LW) fluxes derived from GOES narrowband (NB) radiances (Available from May 1998 to August 2005) * Narrow-to-broadband (NB-BB) conversion technique based on regressing coincident co-located 1° averaged CERES BB and GOES NB fluxes.

86

University of Wisconsin - Madison Space Science and Engineering Center Leslie Moy, Lori Borg, Bob Knuteson, Hank Revercomb, Joel Susskind, and Dave Tobin  

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Wisconsin - Madison Wisconsin - Madison Space Science and Engineering Center Leslie Moy, Dave Tobin, Bob Knuteson, Lori Borg, Hank Revercomb (PI), Marty Mlynczak 1 , and Joel Susskind 2 1 NASA Langley, 2 NASA GSFC Assessing ARM Clear Sky BBHRP with CERES and AIRS The RRTM calculations of clear sky OLR agree with CERES observations to ~1 W/m 2 with an uncertainty of ~1 W/m 2 . * True at SGP over 2.5 years, true globally (with some understood regional exceptions) for study day. * True using ARM data as input to RRTM, true using AIRS sounding retrievals as input to RRTM. BBRHP summary report Goal: To assess and improve BBHRP. Approach: Use CERES fluxes & AIRS radiances and retrievals. * SSF CERES is currently a better metric for BBHRP assessment than GOES. * AIRS spectral radiance analysis allows us to evaluate the

87

PowerPoint Presentation  

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Lori Borg, David Turner, Robert Holz, David Tobin, Bob Knuteson, Lori Borg, David Turner, Robert Holz, David Tobin, Bob Knuteson, Leslie Moy, Daniel DeSlover, Ed Eloranta, Hank Revercomb (PI) University of Wisconsin - Madison Space Science and Engineering Center 18th ARM STM, Norfolk, VA 10 - 14 March 2008 21 October 2005 panorama Assessing the Vertical Structure of Radiative Heating Using Radar & Lidar for Cirrus Cloud Events at SGP UW-Madison SSEC Team David Turner Bob Holz David Tobin Bob Knuteson Leslie Moy Dan DeSlover Ed Eloranta Hank Revercomb History Extension of previous work, which assessed ARM Broad Band Heating Rate Profiles (BBHRP) under clear-sky conditions. BBHRP collaboration of all working groups which produces vertical profiles of fluxes and heating rates to drive climate models. BBHRP primarily radar (MMCR) based logic for cloud properties.

88

ARM - Publications: Science Team Meeting Documents  

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S.A.(a), Shephard, M.W.(a), Mlawer, E.J.(a), Delamere, J.S.(a), Iacono, M.J.(a), Cady-Pereira, K.(a), Boukabara, S.(a), Revercomb, H.E.(b), Tobin, D.C.(b), Turner, D.D.(c), and...

89

Development and recent evaluation of the MT_CKD model of continuum absorption  

Science Journals Connector (OSTI)

...20] Figure 2. For the US standard atmosphere...U.S. Department of Energy, Office of Science...windows. J. Direct. Energy 2, 151-161. 42 Fulghum...radiative cooling and energy balance. Here, we describe the development and status of the MT_CKD (MlawerTobinCloughKneizysDavies...

2012-01-01T23:59:59.000Z

90

ARM - Data Announcements Article  

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New Surface Spectral Albedo VAP Provides Surface Type Observations at New Surface Spectral Albedo VAP Provides Surface Type Observations at Southern Great Plains Bookmark and Share Example quicklook from the SURFSPECALB VAP. The plot shows the estimated spectral albedo at SGP for the 10-m and 25-m towers on September 11, 2004. On this day, the surface type for both towers is partial vegetation. Example quicklook from the SURFSPECALB VAP. The plot shows the estimated spectral albedo at SGP for the 10-m and 25-m towers on September 11, 2004. On this day, the surface type for both towers is partial vegetation. The Surface Spectral Albedo (SURFSPECALB) value-added product (VAP) has been released for operational production at the Southern Great Plains (SGP) site. This VAP creates a near-continuous best estimate of broadband and

91

ARM - Data Announcements Article  

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Bookmark and Share An example plot from the MWRRET VAP for 1192007 at Black Forest, Germany: (top) Brightness temperatures measured by the microwave radiometer (MWR). Orange and...

92

ARM - Evaluation Product - MFRSR-Column Intensive Properties  

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Product : MFRSR-Column Intensive Properties The MFRSR-Column Intensive Properties (CIP) value-added product (VAP) has been developed for estimating the microphysical (e.g.,...

93

ARM Climate Research Facility  

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

94

Research Highlight  

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ARM Measurements Help to Evaluate Radiation Codes Used in Global Modeling ARM Measurements Help to Evaluate Radiation Codes Used in Global Modeling Download a printable PDF Submitter: Oreopoulos, L., NASA Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Oreopoulos L, E Mlawer, J Delamere, T Shippert, J Cole, B Fomin, M Iacono, Z Jin, J Li, J Manners, P Raisanen, F Rose, Y Zhang, MJ Wilson, and WB Rossow. 2012. "The Continual Intercomparison of Radiation Codes: results from Phase I." Journal of Geophysical Research - Atmospheres, 117, doi:10.1029/2011JD016821. The total error of each participating radiation code for all LW (left) and SW (right) cases in the CIRC intercomparison. The identity of each participating code can be found in the paper; codes built due to ARM

95

Section 92  

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cld cld ' CWP 1&f ice k liq % f ice k ice e liq (v) ' A v r liq B v % C v k ice ' 0.005 % 1 r ice Session Papers 409 (1) (2) (3) Shortwave and Longwave Enhancements in the Rapid Radiative Transfer Model E. J. Mlawer and S. A. Clough Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts Introduction This work describes recent advances in the rapid radiative transfer model (RRTM) (Mlawer et al. 1997), a rapid and accurate model designed for climate applications. The initial phase of RRTM, which uses the correlated-k method for radiative transfer, allowed the calculation of fluxes and cooling rates in the longwave region in clear-sky conditions. These calculations have been shown to be accurate relative to fluxes and cooling rates calculated by the well-validated line-by-line radiative transfer model (LBLRTM) (Clough et al. 1992;

96

Research Highlight  

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Improving Water Vapor Continuum Absorption and Its Impact on a GCM Improving Water Vapor Continuum Absorption and Its Impact on a GCM Simulation Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Turner DD, A Merrelli, D Vimont, and EJ Mlawer. 2012. "Impact of modifying the longwave water vapor continuum absorption model on community Earth system model simulations." Journal of Geophysical Research, 117, D04106, doi:10.1029/2011JD016440. The mean difference profiles (experiment minus control) for clear-sky longwave radiative heating (QRLC); shortwave clear-sky radiative heating (QRSC); the longwave cloud radiative forcing (QRLCF); the precipitation

97

Research Highlight  

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

Field Experiments to Improve the Treatment of Radiation in the Mid-to-Upper Field Experiments to Improve the Treatment of Radiation in the Mid-to-Upper Troposphere Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Turner DD and EJ Mlawer. 2010. "The Radiative Heating in Underexplored Bands Campaigns (RHUBC)." Bulletin of the American Meteorological Society, 91, doi:10.1175/2010BAMS2904.1. (a) Atmospheric transmittance at 1 cm-1 resolution in the far-infrared for three atmospheres that are representative of the ARM SGP site, NSA site, and RHUBC-II site in the Chajnantor plateau (CJC). (b) The transmittance

98

Research Highlight  

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Development and Recent Evaluation of the MT_CKD Model of Continuum Development and Recent Evaluation of the MT_CKD Model of Continuum Absorption Download a printable PDF Submitter: Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Mlawer EJ, VH Payne, J Moncet, JS Delamere, MJ Alvarado, and DD Tobin. 2012. "Development and recent evaluation of the MT_CKD model of continuum absorption." Philosophical Transactions of The Royal Society A, 370, doi: 10.1098/rsta.2011.0295. For seven AERI cases with 4-6 cm PWV: (a) average AERI radiances (black) and corresponding calculations using radiation code with previous version of MT_CKD continuum model (red); (b) residuals between AERI and calculations with older model; (c) residuals after the CO2 continuum in

99

MWRRET (Microwave Radiometer Retrievals)  

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Plus Plus Plus Andy Vogelmann, Dave Turner Andy Vogelmann, Dave Turner & Jennifer Comstock & Jennifer Comstock Min Min Susanne Crewell Susanne Crewell Ulrich L Ulrich L ö ö rnard rnard Jim Liljegren Jim Liljegren John Ogre John Ogre . Y. Matrosov . Y. Matrosov Sally McFarlane Sally McFarlane Warren Wiscombe, Christine Chiu, Sasha Marshak, Maria Warren Wiscombe, Christine Chiu, Sasha Marshak, Maria Cadeddu, Qilong Min, Susanne Crewell, Ulrich L Cadeddu, Qilong Min, Susanne Crewell, Ulrich L ö ö hnert, Mandy hnert, Mandy M. Khaiyer, Greg McFarquhar , Chuck Long, Bill O M. Khaiyer, Greg McFarquhar , Chuck Long, Bill O ' ' Hirok, Bin Hirok, Bin Lin, Connor Flynn, Eli Mlawer, Graham Feingold, Jim Barnard, Lin, Connor Flynn, Eli Mlawer, Graham Feingold, Jim Barnard,

100

1  

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Impact of an Improved Longwave Radiative Transfer Model Impact of an Improved Longwave Radiative Transfer Model on the NCAR Community Climate Model M. J. Iacono, E. J. Mlawer, and S. A. Clough Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts Introduction The effect of introducing a new longwave (LW) radiation parameterization, rapid radiative transfer model (RRTM), on the energy budget and thermodynamic properties of the National Center for Atmospheric Research (NCAR) Community Climate Model (CCM3) is described. RRTM is a rapid and accurate, correlated-k, radiative transfer model (Mlawer et al. 1997) developed for the Atmospheric Radiation Measurement (ARM) Program to address the ARM objective of improving radiation models in global climate models. Among the important features of RRTM are its connection to radiation

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


101

Research Highlight  

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

Improved Daytime Precipitable Water Vapor from Vaisala Radiosonde Humidity Improved Daytime Precipitable Water Vapor from Vaisala Radiosonde Humidity Sensors Download a printable PDF Submitter: Cady-Pereira, K. E., Atmospheric and Environmental Research, Inc. Mlawer, E. J., Atmospheric & Environmental Research, Inc. Turner, D. D., National Oceanic and Atmospheric Administration Shephard, M. W., Atmospheric and Environmental Research, Inc. Clough, S. A., Atmospheric and Environmental Research, Inc. Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Radiative Processes Journal Reference: Cady-Pereira, K, M Shephard, E Mlawer, D Turner, S Clough, and T Wagner. 2008. "Improved daytime column-integrated precipitable water vapor from Vaisala radiosonde humidity sensors." Journal of Atmospheric and Oceanic Technology doi: 10.1175/2007JTECHA1027.1.

102

ARM - Publications: Science Team Meeting Documents  

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

The MERGED_SOUNDING VAP: A Status Report and Description The MERGED_SOUNDING VAP: A Status Report and Description Miller, M.A.(a), Troyan, D.T.(a), and Mace, G.G.(b), Brookhaven National Laboratory (a), University of Utah (b) The Value-added Product (VAP) known as MERGED_SOUNDING has been deemed a very desirous component of ARMs suite of VAPs. To have a thermodynamics profile of the atmosphere at one-minute temporal intervals and uniform height levels available for ARM data users eliminates much redundancy and inconsistency as investigators will now have standard atmospheric profiles at their disposal. The values which constitute the thermodynamics profile include: Temperature, Relative Humidity, Vapor Pressure, Barometric Pressure, Wind Speed and Direction, and Dewpoint. The data integrated to form the MERGED_SOUNDING data stream comes from radiosonde launches, model

103

1  

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

Variability Across the ARM SGP Area Variability Across the ARM SGP Area by Temporal and Spatial Scale C. N. Long and T. P. Ackerman Pacific Northwest National Laboratory J. E. Christy Columbia University New York, New York Introduction The Surface Cloud Grid (SfcCldGrid) value-added product (VAP) uses the output of the Shortwave Flux Analysis VAP (Long and Ackerman 2000, Long et al. 1999, Long 2001) at 15-minute resolution for each of the 21 surface radiometer sites of the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) network area as input. The SfcCldGrid VAP uses the Analytic Approximation interpolation technique of Caracena (1987) to produce a 0.25° × 0.25° grid across the ARM SGP area at 15-minute resolution. (More information about the SfcCldGrid VAP, and an analysis of the interpola-

104

ARM - Data Announcements Article  

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from 1993 through 2008 are now available at the ARM Data Archive. Data from the Bulk Aerodynamic Energy Balance Bowen Ratio (EBBR) Station, or BAEBBR, Value-Added Product (VAP) are...

105

PowerPoint Presentation  

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

and Status Report on The Microbase VAP Maureen Dunn 1 , Michael Jensen 1 , Karen Johnson 1 , Mark Miller 2 , Eugene Clothiaux 3 , Roger Marchand 4 , Gerard Mace 5 , James Mather 6...

106

City of Broken Bow, Nebraska (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Bow, Nebraska (Utility Company) Bow, Nebraska (Utility Company) Jump to: navigation, search Name City of Broken Bow Place Nebraska Utility Id 2277 Utility Location Yes Ownership M NERC Location MRO NERC MRO Yes Operates Generating Plant Yes Activity Generation Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Area Lights (Metered) 175 W sod-vap - city Lighting Area Lights (Metered) 175 W sod-vap - rural Lighting Area Lights (Unmetered) 1000 W mer-vap - city Lighting Area Lights (Unmetered) 1500 W quartz - city Lighting Area Lights (Unmetered) 175 W sod-vap - city Lighting

107

ARM KAZR-ARSCL Value Added Product  

SciTech Connect (OSTI)

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

Michael Jensen

2012-09-28T23:59:59.000Z

108

Research Highlights Sorted by Research Area  

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

Research Area Research Area Radiation Processes | Cloud Distributions/Characterizations | Surface Properties | General Circulation and Single Column Models/Parameterizations | Aerosol Properties | Atmospheric Thermodynamics and Vertical Structures | Clouds with Low Optical [Water] Depths (CLOWD) | Vertical Velocity | Broadband Heating Rate Profile (BBHRP) | Cloud-Aerosol-Precipitation Interactions | Cloud Processes | Aerosol Processes Radiation Processes Alexandrov, M. D. Optical Depth Measurements by Shadowband Radiometers and Their Uncertainties ARM Berg, L. Surface Summertime Radiative Forcing by Shallow Cumuli at the ARM SGP ARM Bergmann, D. The Influence of Regional Anthropogenic Emission Reductions on Aerosol Direct Radiative Forcing ASR Bhattacharya, A. Burning on the Prairies ARM

109

Microsoft Word - rhubc2_DOE-SC-ARM-0901_final_rev3.24.09.doc  

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

1 1 Radiative Heating in Underexplored Bands Campaign (RHUBC-II) Science Plan August - October 2009 Cerro Toco, Atacama Astronomical Park February 2009 Principal Investigators: Dave Turner, University of Wisconsin - Madison Eli Mlawer, Atmospheric and Environmental Research, Inc. Campaign Logistics: Kim Nitschke, Los Alamos National Laboratory Jim Mather, Pacific Northwest National Laboratory Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes

110

Techniques and Methods Used to Determine the Best Estimate of Radiation Fluxes at SGP Central Facility  

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Techniques and Methods Used to Determine the Techniques and Methods Used to Determine the Best Estimate of Radiation Fluxes at SGP Central Facility Y. Shi and C. N. Long Pacific Northwest National Laboratory Richland, Washington Algorithm and Methodology The Best Estimate Flux value-added product (VAP) processes data started on March 22, 1997, when data from the three central facility (CF) radiometer systems, Solar Infrared Station (SIRS) E13, C1, and baseline surface radiation network (BSRN) (sgpsirs1duttE13.c1, sgpsirs1duttC1.c1, and sgpbsrn1duttC1.c1), were all available. In 2001, the diffuse shortwave (SW) instruments were switched to shaded black and white instruments, and the name BSRN was switched to broadband radiometer station (BRS). Before that time, this VAP uses corrected diffuse SW from the DiffCorr1Dutt VAP as

111

Leveraging The Open Provenance Model as a Multi-Tier Model for Global Climate Research  

SciTech Connect (OSTI)

Global climate researchers rely upon many forms of sensor data and analytical methods to help profile subtle changes in climate conditions. The U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) program provides researchers with curated Value Added Products (VAPs) resulting from continuous sensor data streams, data fusion, and modeling. The ARM operations staff and software development teams (data producers) rely upon a number of techniques to ensure strict quality control (QC) and quality assurance (QA) standards are maintained. Climate researchers (data consumers) are highly interested in obtaining as much provenance (data quality, data pedigree) as possible to establish data trustworthiness. Currently all the provenance is not easily attainable or identifiable without significant efforts to extract and piece together information from configuration files, log files, codes, and status information from ARM databases. The need for a formalized approach to managing provenance became paramount with the planned addition of 120 new instruments, new data products, and data collection scaling to half a terabyte daily. Last year our research identified the need for a multi-tier provenance model to enable the data consumer easy access to the provenance for their data. This year we are leveraging the Open Provenance Model as a foundational construct that serves the needs of both the VAP producers and consumers, we are organizing the provenance in different tiers of granularity to model VAP lineage, causality at the component level within a VAP, and the causality for each time step as samples are being assembled within the VAP. This paper shares our implementation strategy and how the ARM operations staff and the climate research community can greatly benefit from this approach to more effectively assess and quantify VAP provenance.

Stephan, Eric G.; Halter, Todd D.; Ermold, Brian D.

2010-12-08T23:59:59.000Z

112

ARM - Data Announcements Article  

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

New Evaluation Product Provides Thermodynamic Variables from Multiple New Evaluation Product Provides Thermodynamic Variables from Multiple Instruments Bookmark and Share INTERPSONDE output from the SGP Central Facility during the Midlatitude Continental Convective Clouds Experiment from April 26, 2011. INTERPSONDE output from the SGP Central Facility during the Midlatitude Continental Convective Clouds Experiment from April 26, 2011. The Interpolated Sonde (INTERPSONDE) value-added product (VAP) is an intermediate step of the MERGESONDE VAP that produces a daily file of atmospheric state variables (temperature, humidity, pressure, and winds) from radiosonde soundings, the microwave radiometer, and surface meteorological instruments. INTERPSONDE includes many of the same sophisticated scaling/interpolation/smoothing schemes that are the hallmark

113

ARM STM Plenary: CS Report  

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

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

114

ARM - Publications: Science Team Meeting Documents  

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

A Continuous Baseline Microphysical Retrieval (MICROBASE): Status of SGP A Continuous Baseline Microphysical Retrieval (MICROBASE): Status of SGP Version 1.2 and Prototype TWP Version Miller, M.A.(a), Johnson, K.L.(a), Jensen, M.P.(b), Mace, G.G.(c), Dong, X.(d), and Vogelmann, A.M.(a), Brookhaven National Laboratory (a), Columbia University (b), University of Utah (c), University of North Dakota (d) Fourteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting The interaction of clouds with incoming and outgoing radiation streams produces discontinuous regions of heating and cooling within the atmospheric column. These regions can influence the atmospheric circulations at multiple scales, as well as modify the existing cloud structures. The Broadband Heating Rate Project (BBHRP) within ARM has the goal of producing instantaneous snapshots of the heating and cooling rate

115

For more information, contact University Parking  

E-Print Network [OSTI]

.275.4524 Have a Flat Tire? Car Won't Start? Need Directions? V.A.P. VEHICLE ASSISTANCE PROGRAM University Tire? Car Won't Start? Contact University Parking and Transportation's Vehicle Assistance Program (V-icer assistance during winter months ·Tire inflations Inclement Travel Information When inclement weather

Mahon, Bradford Z.

116

G-Band Vapor Radiometer Precipitable Water Vapor (GVRPWV) Value-Added Product  

SciTech Connect (OSTI)

The G-Band Vapor Radiometer Precipitable Water Vapor (GVRPWV) value-added product (VAP) computes precipitable water vapor using neural network techniques from data measured by the GVR. The GVR reports time-series measurements of brightness temperatures for four channels located at 183.3 1, 3, 7, and 14 GHz.

Koontz, A; Cadeddu, M

2012-12-05T23:59:59.000Z

117

EIS-0300: Minnesota Agri-Power Project: Biomass for Rural Development, Granite Falls, Minnesota  

Broader source: Energy.gov [DOE]

This EIS analyzes DOE and the Minnesota Environmental Quality Boards' [MEQB, a Minnesota State agency] decision to support a proposal by the Minnesota Valley Alfalfa Producers (MnVAP) to construct and operate a 75103 megawatt biomass fueled gasifier and electric generating facility, known as the Minnesota Agri-Power Plant (MAPP), and associated transmission lines and alfalfa processing facilities.

118

Recent Developments on the Broadband Heating Rate Profile Value-Added Product  

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

Recent Developments on the Recent Developments on the Broadband Heating Rate Profile Value-Added Product E. J. Mlawer, J. S. Delamere, and S. A. Clough Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts M. A. Miller and K. L. Johnson Brookhaven National Laboratory Upton, New York T. R. Shippert and C. N. Long Pacific Northwest National Laboratory Richland, Washington R. G. Ellingson Florida State University Tallahassee, Florida M. H. Zhang State University of New York - Stony Brook Albany, New York R. A. Ferrare National Aeronautics and Space Administration Langley Research Center Hampton, Virginia R. T. Cederwall and S. C. Xie Los Alamos National Laboratory Los Alamos, New Mexico J. A. Ogren National Oceanic and Atmospheric Administration

119

PowerPoint Presentation  

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

Spectral Shortwave Spectral Shortwave Quality Measurement Experiment (SW QME) at the Southern Great Plains ACRF J. Delamere, E. Mlawer (AER, Inc.) P. Kiedron (CIRES/U. Colorado) J. Michalsky (NOAA/ESRL/GMD) C. Long, C. Flynn, T. Shippert (PNNL) P. Pilewskie, P. McBride (LASP/U. Colorado) The Shortwave QME Paradigm Critical evaluation of all components of closure study in the shortwave..... * Radiometric measurement quality * Accuracy of calculation (LBLRTM/CHARTS) * Line parameters (HITRAN) * MT_CKD continuum model * Extraterrestrial spectrum * Model inputs * Radiosonde, MWRRET * Spectral Surface Albedo * Aerosol Properties (ABE) * Cloud Properties (Microbase) Spectral Surface Albedo Algorithm 1. Based on the 6 MFR channel albedos, every surface classified as either: * Snow * Brown Vegetation/Soil

120

ARM - Publications: Science Team Meeting Documents: Abstracts sorted by  

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

Radiation | Cloud Properties | Aerosols | Atmospheric State and Surface | Modeling | Instruments | Field Campaigns | Infrastructure & Outreach Radiation Axisa, D., Collins, D., Rosenfeld, D., and Woodley, W. A New Research Aircraft for the Documentation of the Impacts of Pollution Aerosols on Clouds and Precipitation* Barker, H., Cole, J., Raisanen, P., Pincus, R., Morcrette, J., Li, J., Stephens, G., Vaillancourt, P., Oreopoulos, L., Siebesma, P., Los, A., Clothiaux, E., Randall, D., and Iacono, M. The Monte Carlo Independent Column Approximation Model Intercomparison Project (McMIP)* Cook, D. and Holdridge, D. EBBR-SIRS Net Radiation Difference: An Evaluation Delamere, J., Mlawer, E., Turner, D., Clough, S., Jensen, M., Miller, M., Johnson, K., Troyan, D., and Shippert, T.

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121

1  

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Shortwave Flux Closure Experiments at Nauru Shortwave Flux Closure Experiments at Nauru S. A. McFarlane and K. F. Evans University of Colorado Boulder, Colorado E. J. Mlawer Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts E. E. Clothiaux The Pennsylvania State University University Park, Pennsylvania Introduction The absorption and distribution of shortwave radiation in the atmosphere is one of the main drivers of the climate system. Through extensive satellite studies the Earth radiation budget has been well characterized and general circulation model (GCM) simulations of top of the atmosphere fluxes generally agree well with observations (Li et al. 1997). However, measurements and model estimates of the amount of shortwave radiation absorbed in the atmosphere differ by up to 30 W/m

122

ARM - Publications: Science Team Meeting Documents: Establishing Continuous  

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

Establishing Continuous Atmospheric Profiles at the North Slope of Alaska Establishing Continuous Atmospheric Profiles at the North Slope of Alaska ACRF Delamere, Jennifer Atmospheric and Environmental Research, Inc. Turner, David Pacific Northwest National Laboratory Mlawer, Eli Atmospheric & Environmental Research, Inc. Clough, Shepard Atmospheric and Environmental Research Miller, Mark Brookhaven National Laboratory Troyan, David Brookhaven National Laboratory Clothiaux, Eugene The Pennsylvania State University Accurate and continuous vertical profiles of the atmospheric state above the North Slope of Alaska ARM Climate Research Facility (NSA ACRF) are a necessity for both accurate forward radiative transfer calculations and cloud microphysical retrievals. In particular, such profiles are a critical component of two important initiatives at the NSA site, the Broadband

123

Research Highlight  

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

Improving the Treatment of Radiation in Climate Models Improving the Treatment of Radiation in Climate Models Download a printable PDF Submitter: Delamere, J. S., Tech-X Corporation Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle, Cloud Life Cycle Journal Reference: Delamere JS, SA Clough, VH Payne, EJ Mlawer, DD Turner, and RR Gamache. 2010. "A far-infrared radiative closure study in the Arctic: Application to water vapor." Journal of Geophysical Research - Atmospheres, 115, D17106, 10.1029/2009JD012968. The mean AERI-ER radiances for a select set of cloud-free cases at NSA in 2007 are presented in the top panel. The bottom panel presents mean spectral differences between the measurements and model calculations. The red line demonstrates the differences when using the pre-RHUBC version of

124

turner_poster.rhubc.ppt  

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

IR (λ > 15 µm) is an important component of the overall radiation IR (λ > 15 µm) is an important component of the overall radiation budget of the Earth, accounting for approximately half of the outgoing infrared radiation to space. * Dominated by the pure rotation band of water vapor, the maximum mid-to- upper tropospheric cooling also occurs in the far-IR. * Cirrus scattering properties not well validated in far-IR. * The opacity of the lower atmosphere has precluded extensive investigations of water vapor and cirrus cloud optical properties in the far-IR, leaving large uncertainties in climate model calculations. Radiative Closure in the Far-Infrared: Results from RHUBC-I Why Study the Far-Infrared? The RHUBC facts E. Mlawer, J. Delamere, V. Payne Atmospheric & Environmental Research, Inc. D. Turner U. Wisconsin-Madison

125

zender-98.pdf  

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

7 7 A Global Climatology of O 2 ⋅ ⋅O 2 , O 2 ⋅ ⋅N 2 , and (H 2 O) 2 Abundance and Absorption C. S. Zender National Center for Atmospheric Research Boulder, Colorado P. Chvlek Atmospheric Science Program Dalhousie University Halifax, Canada Introduction Recent experimental and theoretical results show that the collision pairs, O 2 ⋅O 2 and O 2 ⋅N 2 , absorb a small but significant fraction of the globally incident, solar radiation (Pfeilsticker et al. 1997, Solomon et al. 1998, Mlawer et al. 1998). The contribution of the water vapor dimer to shortwave (SW) absorption, however, remains speculative due to uncertainties in both its abundance and its absorption cross section (Chvlek and Geldart 1997, Clvlek et al. 1998, Tso et al. 1998). This study employs a specially modified

126

Section 55  

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W/m W/m 2 , H 2 O, CO 2 , O 3 Session Papers 233 Effects of Improved Radiative Transfer Modeling for Climate Simulations M. J. Iacono, E. J. Mlawer and S. A. Clough Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts Introduction The interaction of shortwave and infrared radiation in the atmosphere with clouds and greenhouse gases represents a complex process that contributes significantly to maintaining earth's climate system. For climate model simulations to become more accurate, it is essential that this process be modeled properly as verified by direct comparisons with observations and with results from a validated line-by-line model. For this purpose, a rapid radiative transfer model (RRTM) has been developed that reproduces the computa- tional accuracy of a more complex line-by-line radiative trans-

127

1  

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Comparison Between RSS Measurements Comparison Between RSS Measurements and LBLRTM/CHARTS Calculations for Clear and Cloudy Conditions E. J. Mlawer, J. S. Delamere, C. J. Scott, and S. A. Clough Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts L. C. Harrison, J. J. Michalsky, and P. W. Kiedron Atmospheric Sciences Research Center State University of New York at Albany Albany, New York H. W. Barker Environment Canada T. R. Shippert Pacific Northwest National Laboratory Richland, Washington Introduction Spectral measurements of solar radiation, such as those provided by the 512-channel Rotating Shadowband Spectroradiometer (RSS) (Harrison et al. 1999), have provided great illumination in the recent debate concerning the possibility of atmospheric absorption of solar radiation in clear skies in

128

Research Highlight  

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

ARM Program Research Improves Longwave Radiative Transfer Models ARM Program Research Improves Longwave Radiative Transfer Models Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Radiative Processes Journal Reference: The QME AERI LBLRTM: A closure experiment for downwelling high spectral resolution infrared radiance. D.D. Turner, D.C. Tobin, S.A. Clough, P.D. Brown, R.G. Ellingson, E.J. Mlawer, R.O. Knuteson, H.E. Revercomb, T.R. Shippert, and W.L. Smith. 2004. Journal of Atmospheric Science, 61, 2657-2675. Top panels: Examples of downwelling infrared radiance observed by the AERI for two different clear sky cases with different amounts of water vapor. Bottom panels: Differences between the AERI observations and calculations

129

1  

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

Application of a Maximum-Random Cloud Overlap Method Application of a Maximum-Random Cloud Overlap Method for RRTM to General Circulation Models M. J. Iacono, E. J. Mlawer, and S. A. Clough Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts Introduction An important consideration in the calculation of longwave radiation through multiple cloudy layers is the spatial relationship, or cloud overlap, among the cloud fractions in each layer. Many general circulation models (GCMs) apply random cloud overlap in which clouds in adjacent layers are assumed to be unrelated. However, this approximation is not appropriate for situations in which clouds are vertically correlated (e.g., deep convection), and recent studies have demonstrated the importance of cloud overlap treatment to GCM simulations (e.g., Jakob and Klein 1999). For this reason, a maximum-

130

brown-pd99.PDF  

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

High-Resolution Model/Measurement Validations High-Resolution Model/Measurement Validations of Solar Direct-Beam Flux P. D. Brown, E. J. Mlawer, and S. A. Clough Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts T. R. Shippert Pacific Northwest National Laboratory Richland, Washington F. J. Murcray and A. W. Dybdahl University of Denver Denver, Colorado L. C. Harrison, P. W. Kiedron, and J. J. Michalsky State University of New York at Albany Albany, New York Introduction A balance between thermal and solar radiation at the top of the atmosphere is necessary for the stability of the earth's climate. To evaluate the behavior of the climate system resulting from a radiative perturbation of this balance, as in a "global warming" scenario, accurate knowledge is needed of the radiative properties of the atmosphere both in the thermal- and solar-dominated spectral regions. A

131

ARM - Publications: Science Team Meeting Documents  

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

Evaluation of Upper Tropospheric Water Vapor in the NCAR Community Climate Evaluation of Upper Tropospheric Water Vapor in the NCAR Community Climate Model, CCM3, Using Modeled and Observed HIRS Radiances Iacono, M.J., Delamere, J.S., Mlawer, E.J., and Clough, S.A., Atmospheric and Environmental Research, Inc. Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting Upper tropospheric water vapor (UTWV) simulated by the National Center for Atmospheric Research Community Climate Model, CCM3, is evaluated by comparing modeled, clear sky, brightness temperatures to those observed from space by the High-resolution Infrared Radiation Sounder (HIRS). The climate model was modified to utilize a highly accurate longwave radiation model, RRTM, and a separate radiance module, both developed for the Atmospheric Radiation Measurement (ARM) Program. The radiance module

132

An Update on Radiative Transfer Model Development at Atmospheric and Environmental Research, Inc.  

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Update on Radiative Transfer Model Development at Update on Radiative Transfer Model Development at Atmospheric and Environmental Research, Inc. J. S. Delamere, S. A. Clough, E. J. Mlawer, Sid-Ahmed Boukabara, K. Cady-Pereira, and M. Shepard Atmospheric and Environmental Research, Inc. Lexington, Maine Introduction Over the last decade, a suite of radiative transfer models has been developed at Atmospheric and Environmental Research, Inc. (AER) with support from the Atmospheric and Radiation Measurement (ARM) Program. These models span the full spectral regime from the microwave to the ultraviolet, and range from monochromatic to band calculations. Each model combines the latest spectroscopic advancements with radiative transfer algorithms to efficiently compute radiances, fluxes, and cooling

133

Research Highlight  

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New Surface Albedo Data Set Enables Improved Radiative Transfer New Surface Albedo Data Set Enables Improved Radiative Transfer Calculations Download a printable PDF Submitter: McFarlane, S. A., U.S. Department of Energy Area of Research: Surface Properties Working Group(s): Cloud Life Cycle Journal Reference: McFarlane SA, K Gaustad, E Mlawer, C Long, and J Delamere. 2011. "Development of a high spectral resolution surface albedo product for the ARM Southern Great Plains central facility." Atmospheric Measurement Techniques, 4, 1713-1733. Time series of daily percent vegetation derived from MFR measurements for (top) 2001-2008 at 10-m tower, which is located over an unmanaged pasture; (middle) 2001-2004 at 25-m tower, which is located over a managed field; and (bottom) 2005-2008 at 25-m tower. The different seasonal cycles at the

134

Cloudy Sky RRTM Shortwave Radiative Transfer and Comparison to the Revised ECMWF Shortwave Model  

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

Cloudy Sky RRTM Shortwave Radiative Transfer and Cloudy Sky RRTM Shortwave Radiative Transfer and Comparison to the Revised ECMWF Shortwave Model M. J. Iacono, J. S. Delamere, E. J. Mlawer, and S. A. Clough Atmospheric and Environmental Research, Inc. Lexington, Massachusetts J.-J. Morcrette European Centre for Medium-Range Weather Forecasts Reading, United Kingdom Introduction An important step toward improving radiative transfer codes in general circulation models (GCMs) is their thorough evaluation by comparison to measurements directly, or to other data-validated radiation models. This work extends the clear-sky shortwave (SW) GCM evaluation presented by Iacono et al. (2001) to computations including clouds. The rapid radiative transfer model (RRTM) SW radiation model accurately reproduces clear-sky direct beam fluxes from the Line-By-Line Radiative Transfer

135

Research Highlight  

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

Looking at the Full Spectrum for Water Vapor Looking at the Full Spectrum for Water Vapor Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Mlawer EJ, VH Payne, J Moncet, JS Delamere, MJ Alvarado, and DD Tobin. 2012. "Development and recent evaluation of the MT_CKD model of continuum absorption." Philosophical Transactions of The Royal Society A, 370, doi: 10.1098/rsta.2011.0295. Radiative cooling across the full infrared spectrum: The far-infrared (the left half of the figure, from 15 to 1000 microns) plays a key role in heat transfer in the atmosphere, but scientists could not measure it, and model calculations were consequently very uncertain. Field observations from

136

Development and Evaluation of RRTMG_SW, a Shortwave Radiative Transfer Model for GCM Applications  

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Development and Evaluation of RRTMG_SW, Development and Evaluation of RRTMG_SW, a Shortwave Radiative Transfer Model for General Circulation Model Applications M. J. Iacono, J. S. Delamere, E. J. Mlawer, and S. A. Clough Atmospheric and Environmental Research, Inc. Lexington, Massachusetts J.-J. Morcrette European Center for Medium-Range Weather Forecasts Reading, United Kingdom Y.-T. Hou National Centers for Environmental Prediction Camp Springs, Maryland Introduction The k-distribution shortwave radiation model developed for the Atmospheric Radiation Measurement (ARM) Program, RRTM_SW_V2.4 (Clough et al. 2004), utilizes the discrete ordinates radiative transfer model, DISORT, for scattering calculations and 16 g-points in each of its 16 spectral bands. DISORT provides agreement with line-by-line flux calculations to within 1 Wm

137

ARM - Publications: Science Team Meeting Documents  

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

Comparisons of a Cloud Resolving Model and ARM Data Comparisons of a Cloud Resolving Model and ARM Data Posselt, D., Mecikalski, J., Tanamachi, R., Feltz, W.F., Turner, D.D., Tobin, D., Knuteson, R.O., and Revercomb, H.E., University of Wisconsin - Madison Twelfth Atmospheric Radiation Measurement (ARM) Science Team Meeting CIMSS/SSEC at the University of Wisconsin is currently running version 3.5 of the PSU/NCAR MM5 once per day at a resolution of 4 km over the ARM CART site domain. Simulations are performed using a sophisticated cloud-resolving microphysics scheme (Reisner 1998) and a radiative parameterization based on RRTM (Mlawer 1997). With selection of appropriate case studies, comparisons of the model output to ARM data can be used to evaluate the model's ability to reproduce boundary-layer thermal and

138

Clough-SA  

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Longwave Broadband QME Based on ARM Longwave Broadband QME Based on ARM Pyrgeometer and AERI Measurements S. A. Clough, A. D. Brown, C. Andronache, and E. J. Mlawer Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts T. R. Shippert and D. D. Turner Pacific Northwest National Laboratory Richland, Washington D. C. Tobin, H. E. Revercomb, and R. O. Knuteson University of Maryland College Park, Maryland Introduction Accurate modeling of the downwelling longwave flux at the surface is critical to our understanding of a number of important issues: the earth's energy balance; processes at the atmosphere's lower boundary including ice melt and ocean forcing; and evaluating our ability to model atmospheric fluxes for dynamical models including numerical weather prediction and climate models. Under the Atmospheric

139

Validation of TES Temperature and Water Vapor Retrievals with ARM  

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

Validation of TES Temperature and Water Vapor Retrievals with ARM Validation of TES Temperature and Water Vapor Retrievals with ARM Observations Cady-Pereira, Karen Atmospheric and Environmental Research, Inc. Shephard, Mark Atmospheric and Environmental Research, Inc. Clough, Shepard Atmospheric and Environmental Research Mlawer, Eli Atmospheric & Environmental Research, Inc. Turner, David University of Wisconsin-Madison Category: Atmospheric State and Surface The primary objective of the TES (Tropospheric Emission Spectrometer) instrument on the Aura spacecraft is the retrieval of trace gases, especially water vapor and ozone. The TES retrievals extremely useful for global monitoring of the atmospheric state, but they must be validated. The ARM sites are well instrumented and provide continuous measurements, which

140

brown-98.pdf  

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

High Resolution Validation in the Shortwave: High Resolution Validation in the Shortwave: ASTI/LBLRTM QME P. D. Brown, S. A. Clough, and E. J. Mlawer Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts T. R. Shippert Pacific Northwest National Laboratory Richland, Washington F. J. Murcray Denver University Denver, Colorado Introduction To assess our modeling capability in the shortwave and to resolve issues including those described by Cess et al. (1995) and others (Li and Moreau 1996; Arking 1996), a Quality Measurement Experiment (QME) has been initiated that extends the approach of the longwave AERI/LBLRTM (atmospheric emitted radiance interferometer/line by line radiative transfer model) QME (Brown et al. 1998) to shorter wavelengths. This shortwave QME for the clear sky focuses upon three components: 1) the ability to accurately

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


141

ARM - Publications: Science Team Meeting Documents  

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

A New Water Vapor Continuum Model: MT_CKD_1.0 A New Water Vapor Continuum Model: MT_CKD_1.0 Mlawer, E.J.(a), Clough, S.A.(a), and Tobin, D.C.(b), Atmospheric and Environmental Research, Inc. (a) University of Wisconsin - Madison (b) Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting For the first time since its inception, a new formulation for the CKD approach to the water vapor continuum has been generated. This new version is designated MT_CKD_1.0. The original CKD formulation, derived in 1980 based upon laboratory measurements due to Burch and collaborators, applied an empirically derived multiplicative factor (different for the self and foreign continua) to the line wing of the impact line shape. This resulted in a line shape that was super-Lorentzian in the near and intermediate line

142

ARM - Publications: Science Team Meeting Documents  

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

Atmospheric Longwave Irradiance Uncertainty Atmospheric Longwave Irradiance Uncertainty Philipona, R. (a), Dutton, E.G. (b), Wood, N. (b), Anderson, G. (b), Stoffel, T. (c), Reda, I. (c), Michalsky, J.J. (d), Wendling, P. (e), Stiffter, A. (e), Clough, S.A. (f), Mlawer, E.J. (f), Revercomb, H. (g), and Shippert, T. (h), World Radiation Center, Davos, Switzerland (a), NOAA, Climate Monitoring and Diagnosic Laboratory (b), National Renewable Energy Laboratory (c), State University of New York at Albany (d), DLR, Oberfaffenhofen, Germany (e), Atmospheric and Environmental Research Inc. (f), University of Wisconsin-Madison (g), Pacific Northwest National Laboratory (h) Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting The first International Pyrgeometer and Absolute Sky-scanning Radiometer

143

Oreopoulos_poster_ARM07.ppt  

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

Continuous Intercomparison of Radiation Codes (CIRC): Phase I Cases Continuous Intercomparison of Radiation Codes (CIRC): Phase I Cases L. Oreopoulos 1 , E. Mlawer 2 , J. Delamere 2 , T. Shippert 3 , D. Turner 4 , M. Miller 5 , M. Khaiyer 6 , P. Minnis 7 , T. Clough 2 , H. Barker 8 , R. Ellingson 9 1. JCET- University of Maryland Baltimore County 2. Atmospheric and Environmental Research Inc. 3. Pacific Northwest National Laboratory 4. University of Wisconsin-Madison 5. Brookhaven National Laboratory 6. Science Systems and Applications Inc. 7. NASA Langley Research Center 8. Meteorological Service of Canada 9. Florida State University CIRC aspires to be the successor to ICRCCM (Intercomparison of Radiation Codes in Climate Models). It is envisioned as an evolving and regularly updated reference source for GCM-type radiative transfer (RT) code evaluation with the principle goal to

144

ARM - Publications: Science Team Meeting Documents  

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

Impact of an Improved Longwave Radiation Model, RRTM, on the Energy Budget Impact of an Improved Longwave Radiation Model, RRTM, on the Energy Budget and Thermodynamic Properties of the NCAR Climate Model, CCM3 Iacono, M.J., Mlawer, E.J., and Clough, S.A., Atmospheric and Environmental Research, Inc. Ninth Atmospheric Radiation Measurement (ARM) Science Team Meeting The effect of introducing a new longwave radiation parameterization, Rapid Radiative Transfer Model (RRTM), on the energy budget and thermodynamic properties of Version 3 of the National Center for Atmospheric Research (NCAR) Community Climate Model (CCM3) will be presented. RRTM is a rapid and accurate k-distribution radiative transfer model that has been developed for the Atmospheric Radiation Measurement (ARM) Program. Among the important features of the RRTM are its connection to radiation

145

Radiative Heating in Underexplored Bands Campaign (RHUBC)  

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Bands Campaign (RHUBC) D. Turner and E. Mlawer RHUBC Breakout Session 2008 ARM Science Team Meeting 13 March, 2008 Norfolk, Virginia Motivation * Radiative heating/cooling in the mid-troposphere modulate the vertical motions of the atmosphere - This heating/cooling occurs primarily in water vapor absorption bands that are opaque at the surface * Approximately 40% of the OLR comes from the far-IR * Until recently, the observational tools were not available to evaluate the accuracy of the far-IR radiative transfer models - Spectrally resolved far-IR radiances, accurate PWV * Need to validate both clear sky (WV) absorption and cirrus scattering properties in these normally opaque bands Scientific Objectives * Conduct clear sky radiative closure studies in order to reduce uncertainties

146

ARM - Publications: Science Team Meeting Documents  

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Shortwave and Longwave Flux and Cooling Rate Profiles for the ARM Central Shortwave and Longwave Flux and Cooling Rate Profiles for the ARM Central Facility Clough, S.A. (a), Delamere, J.S. (a), Mlawer, E.J. (a), Cederwall, R.T. (b), Revercomb, H. (c), Tobin, D. (c), Turner, D.D. (c), Knuteson, R.O. (c), Michalsky, J.J. (d), Kiedron, P.W. (d), Ellingson, R.G. (e), Krueger, S.K. (f), Mace, G.G. (f), Shippert, T. (g), and Zhang, M.H.(h), Atmospheric and Environmental Research, Inc. (a), Lawrence Livermore National Laboratory (b), University of Wisconsin-Madison (c), State University of New York, Albany (d), University of Maryland (e), University of Utah (f), Pacific Northwest National Laboratory (g), State University of New York, Stony Brook (h) Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting Accurate representations of the cooling rate profile, the surface flux and

147

ARM - Data Announcements Article  

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Unique Manus Island Precipitation Data Available Unique Manus Island Precipitation Data Available Bookmark and Share Statistical coverage product from the Manus C-SAPR showing times of data availability. Click to enlarge. Statistical coverage product from the Manus C-SAPR showing times of data availability. Click to enlarge. Evaluation data are available for the value-added product (VAP) Mapped Moments to a Cartesian Grid (MMCG) for periods between October and December 2011 from the Tropical Western Pacific Manus site. The C-band scanning ARM precipitation radar (C-SAPR) produces measurements of raw radar moments in antenna coordinates of range from and the azimuth and elevation of the antenna. This VAP maps raw moment data from the C-SAPR on to a model-like, regular Cartesian grid. The Manus C-SAPR signal processor had issues that corrupted polarimetric

148

Cloud Properties Working Group Low Clouds Update  

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Cloud Properties Working Group 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) deployed at the NSA 183 GHz (GVR) deployed at the NSA Neural network algorithm to retrieve PWV & LWP (Maria Neural network algorithm to retrieve PWV & LWP (Maria Cadeddu Cadeddu ) ) Potential VAP candidate (RPWG) Potential VAP candidate (RPWG)

149

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

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

150

ARM - Data Announcements Article  

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January 31, 2012 [Data Announcements] January 31, 2012 [Data Announcements] It's Official Now-Cloud Microphysical Properties Value-Added Product Changes Status Bookmark and Share The Continuous Baseline Microphysical Retrieval (MICROBASE) value-added product (VAP) has been released as an official ARM VAP. Data from April 1998 through December 2009 are now available for the Southern Great Plains, North Slope of Alaska, and Tropical Western Pacific sites. Historical updates will be provided whenever additional data become available. This sample quicklook plot shows averaged liquid water content for May 9, 2006, at the SGP site. This sample quicklook plot shows averaged liquid water content for May 9, 2006, at the SGP site. MICROBASE is a baseline retrieval of cloud microphysical properties. It

151

Slide 1  

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Workflows to Enable Flexible VAP Workflows to Enable Flexible VAP Development Terence Critchlow Matt Macduff Justin Almquist George Chin Ian Gorton Todd Halter Tim Shippert Chandrika Sivaramakrishnan What is a workflow? Workflows consist of Series of discrete activities (actors) Flow of information between actors Orchestration of interaction Workflows allow automation of tasks Workflow engines provide a framework for defining and executing workflows Relieves scientists from much of the ongoing data management overhead Why should I care? Aren't scripts good enough? Workflow environments provide: Higher level of abstraction, increasing code reuse Drag-and-drop programming Inherent actor-level and workflow-level parallelism Provenance recording While scripts can do all of this, a workflow environment

152

ARM - Data Announcements Article  

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September 12, 2013 [Data Announcements] September 12, 2013 [Data Announcements] Value-Added Product Estimates Planetary Boundary Layer Height from Radiosondes Bookmark and Share Example quicklook plot from the VAP showing the sub-sampled potential temperature (black) and potential temperature lapse rate (red) from a single radiosonde along with the estimates of PBL height from the three methods. Example quicklook plot from the VAP showing the sub-sampled potential temperature (black) and potential temperature lapse rate (red) from a single radiosonde along with the estimates of PBL height from the three methods. The planetary boundary layer (PBL) height (or mixing layer depth) can vary significantly with time due to a number of factors including large-scale dynamics, cloudiness, convective mixing, and the diurnal cycle of solar

153

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

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

154

ARM - Data Announcements Article  

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Microwave Radiometer Retrieval Data Available for ARM Sites Microwave Radiometer Retrieval Data Available for ARM Sites Bookmark and Share An example plot from the MWRRET VAP for 10/8/1999 at SGP. (top) Brightness temperatures measured by the MWR; orange and blue lines indicate potential measurement spikes due to precipitation, (middle) retrieved precipitable water vapor from the new physical method (blue) and the original statistical method (green), (bottom) retrieved liquid water path from the new physical method (blue) and the original statistical method (green). Sonde launch times are indicated in purple in the middle panel. An example plot from the MWRRET VAP for 10/8/1999 at SGP. (top) Brightness temperatures measured by the MWR; orange and blue lines indicate potential measurement spikes due to precipitation, (middle) retrieved precipitable

155

ARM - Data Announcements Article  

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

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

156

ARM - Data Announcements Article  

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

Vertical Air Motion Profiles Available Through New Value-Added Product Vertical Air Motion Profiles Available Through New Value-Added Product Bookmark and Share In the top figure, evidence of stratiform precipitation is observed in the WACR reflectivity profiles. Vertical air motion is retrieved from the WACR velocity spectra for hours 900 to 1200 as depicted on the lower left. An overview of the VAP algorithm is displayed on the lower right. Click to enlarge. In the top figure, evidence of stratiform precipitation is observed in the WACR reflectivity profiles. Vertical air motion is retrieved from the WACR velocity spectra for hours 900 to 1200 as depicted on the lower left. An overview of the VAP algorithm is displayed on the lower right. Click to enlarge. The Vertical Air Motion during Large-Scale Stratiform Rain (VERVELSR)

157

Slide 1  

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

Radiative Processes Working Group: Radiative Processes Working Group: Value Added Product (VAP) Updates Sally McFarlane RPWG Translator RPWG Breakout March 23,2009 2 Status of RPWG Operational VAPs BE Flux (Best Estimate Flux from 3 radiometers at SGP) run daily up through current QC RAD (Data Quality Assessment for Radiation Data) c1, s1 level data -current at all sites c2 level data - processing global shortwave correction; waiting for information on instrument swap-outs c1, s1 level data in archive for AMF from Pt. Reyes and COPS Investigating tracker problem in Niamey data Will begin processing China data shortly Shortwave Flux Analysis Runs monthly on all fixed sites except Darwin (processed once/year) and NSA (not implemented); 1-2 months behind current Adding NSA data; code implemented, currently evaluating test cases

158

ARM - Data Announcements Article  

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

159

ARM - Data Announcements Article  

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5, 2013 [Data Announcements] 5, 2013 [Data Announcements] Rejected! Update to Langley VAP Dismisses Outliers Bookmark and Share An example of a clear day where most values made it through the cloud screening algorithm. An example of a clear day where most values made it through the cloud screening algorithm. A Langley plot is a regression of log (signal) versus airmass. Under appropriate conditions, the Langley regression yields values that represent the response of an instrument in absence of atmosphere (i.e., at the top of atmosphere), and these values are ultimately useful for instrument calibration. The existing LANGLEY VAP (available through special request from the ARM Data Archive) uses input from the multifilter rotating shadowband radiometer (MFRSR). This new addition to LANGLEY uses the

160

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

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

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161

ARM - Publications: Science Team Meeting Documents: AERI Thermodynamic  

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AERI Thermodynamic Profiling VAP Improvements and Status AERI Thermodynamic Profiling VAP Improvements and Status Feltz, Wayne University of Wisconsin Howell, Ben University of Wisconsin-Madison Turner, David Pacific Northwest National Laboratory Mahon, Rick Pacific Northwest National Laboratory Knuteson, Robert University Of Wisconsin The Atmospheric Emitted Radiance Interferometer (AERI) was one of the primary instruments developed under the DOE ARM instrument development program (IDP) to be deployed to the Climate Research Facility (CRF) Southern Great Plains (SGP) central site near Lamont, Oklahoma. A prototype AERI was deployed in March 1993 where it collected data until the first AERI operational instrument replaced it in July 1999. The ARM archive contains AERI data from the ARM CART SGP central facility site from January

162

ARM - Evaluation Product - Interpolated Sonde  

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ProductsInterpolated Sonde ProductsInterpolated Sonde Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Interpolated Sonde Site(s) GAN SGP TWP General Description The interpolated-sonde value-added product is a modification of the mergesonde VAP that produces a daily file of thermodynamic variables from radiosonde soundings, the microwave radiometer, and surface meteorological instruments. This product does not incorporate ECMWF model output. Interpolated-sonde includes many of the same sophisticated scaling/interpolation/smoothing schemes that are the hallmark of the mergesonde VAP, but there are benefits to excluding ECMWF model output. These benefits include (1) a shorter time lag in producing a thermodynamic profile, and (2) the profiles are independent of the model so comparisons

163

A Comparison of Cirrus Cloud Visible Optical Depth Derived from Lidar  

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Comparison of Cirrus Cloud Visible Optical Depth Derived from Lidar Comparison of Cirrus Cloud Visible Optical Depth Derived from Lidar Lo, Chaomei Pacific Northwest National Laboratory Comstock, Jennifer Pacific Northwest National Laboratory Flynn, Connor Pacific Northwest National Laboratory Category: Cloud Properties Optically thin clouds (e.g. optical depth < 3) can have a significant impact on radiative heating in the atmosphere, particularly in the cold upper troposphere. Currently, there is no value-added product (VAP) in the Atmospheric Radiation Measurement (ARM) program archive that produces thin cloud optical depth, particularly at the Tropical Western Pacific and North Slope of Alaska sites. A VAP is under development to obtain the cirrus cloud visible optical depth from the MPLNOR (Micro Pulse Lidar Normalized

164

ARM - Data Announcements Article  

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July 3, 2012 [Data Announcements] July 3, 2012 [Data Announcements] New Evaluation Product Estimates Planetary Boundary Layer Height Bookmark and Share Example quicklook plot from the VAP showing the sub-sampled potential temperature (black) and potential temperature lapse rate (red) from a single radiosonde along with the estimates of PBL height from the three methods. Click to enlarge. Example quicklook plot from the VAP showing the sub-sampled potential temperature (black) and potential temperature lapse rate (red) from a single radiosonde along with the estimates of PBL height from the three methods. Click to enlarge. Planetary boundary layer (PBL) height (or mixing-layer depth) can vary significantly with time due to a number of factors, including large-scale dynamics, cloudiness, convective mixing, and the diurnal cycle of solar

165

Microsoft Word - Flynn-CJ.doc  

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

ARM Aerosol Optical Thickness VAP ARM Aerosol Optical Thickness VAP C. J. Flynn, J. C. Barnard, A. Koontz, and T. D. Halter Pacific Northwest National Laboratory Richland, Washington J. J. Michalsky and J. Schlemmer Atmospheric Sciences Research Center State University of New York Albany, New York Introduction The aerosol optical thickness (AOT), τ aer , is one the most critical parameters influencing clear-sky, shortwave radiative fluxes. This point has been underscored in numerous publications (Kato et al. 1997; Halthore et al. 1997; Halthore and Schwartz 2000) in which the sensitivity of calculated irradiances to changes in τ aer has been demonstrated. For example, Halthore and Schwartz (2000) have shown that, when compared to other input parameters required by radiative transfer models, τ aer has the greatest

166

Microsoft PowerPoint - STM2007Poster  

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ECOR: Improvements and VAP; NIM Aircraft Effects and Solar Diurnal Tides ECOR: Improvements and VAP; NIM Aircraft Effects and Solar Diurnal Tides David R. Cook Argonne National Laboratory ABSTRACT The new ECOR systems have generally operated reliably. However, some improvements have been made and others are in the process of being made to make the system more robust and to better indicate data quality. These improvements include: the addition of a wetness sensor to allow precipitation/dew/frost effects on the CO2/H2O sensor to be detected, determination of and correction to sonic alignment at one site, setting up additional serial ports for use when a port fails, the use of serial line isolators to reduce serial port failures, improvement in the procedure for calibration of the CO2/H2O sensor, determination of wind directions for

167

Microworm optode sensors limit particle diffusion to enable in vivo measurements  

Science Journals Connector (OSTI)

...6), the optical equivalent...and a PEG coating. Nanoparticle...depending on the application (20...Initiated CVD (21, 22...Initiated CVD depositions...Polymer Coating Deposition...loaded into an optical bottom 96-well...real-time application to viable rat...biological applications by photoinitiated...of polymer coatings on high aspect...initiated CVD . Chem Vap...for use as thin-film hydrogels...

Gozde Ozaydin-Ince; J. Matthew Dubach; Karen K. Gleason; Heather A. Clark

2011-01-01T23:59:59.000Z

168

Cloud Properties and Radiative Heating Rates for TWP  

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

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

Comstock, Jennifer

169

Cloud Properties and Radiative Heating Rates for TWP  

SciTech Connect (OSTI)

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

Comstock, Jennifer

2013-11-07T23:59:59.000Z

170

arm_stm_2007_revercomb_poster.ppt  

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

GOES & RRTM Fluxes and AIRS Partial Fluxes GOES & RRTM Fluxes and AIRS Partial Fluxes Partial Flux * AIRS obs, * LBLRTM) Total Flux * GOES, * RRTM Year 2000 - 2006 RRTM flux (AIRS Ts, emis) CERES comparison RRTM minus CERES W/m 2 W/m 2 Clear Sky TOA Flux from GOES and Aqua CERES Clear Sky TOA Flux GOES minus CERES * Mean: +5.5 W/m 2 , StdDev: 11.3 W/m 2 Clear Sky TOA Flux from GOES and RRTM calculations Clear Sky TOA Flux GOES minus RRTM calculations W/m 2 W/m 2 wavenumber Obs-Calc (K) Obs-Calc (K) Day Night Day Night Mean Observed minus Calculated STDDEV Observed minus Calculated wavenumber Obs-Calc (K) Tb (K) BBHRP Assessment Part 1: Clear Sky Analysis Using Ground and Satellite-based High Spectral Resolution Infrared Observations Hank Revercomb, Leslie Moy, Dave Tobin, Bob Knuteson, Dave Turner, Bob Holz, Daniel DeSlover, Jun Li

171

Research Highlight  

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AERI-ER at the SHEBA Ice Station: Far Infrared H2O Continuum AERI-ER at the SHEBA Ice Station: Far Infrared H2O Continuum Submitter: Revercomb, H. E., University of Wisconsin, Madison Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Tobin, D.C., F.A. Best, P.D. Brown, S.A. Clough, R.G. Dedecker, R.G. Ellingson, R.K. Garcia, H.B. Howell, R.O. Knuteson, E.J. Mlawer, H.E. Revercomb, J.F. Short, P.F.W. van Delst, and V.P. Walden, 1999. "Downwelling spectral radiance observations at the SHEBA ice station: Water vapor continuum measurements from 17 to 26μm," JGR 104(D2): 2081-2092 Figure 1. Comparison of clear sky downwelling radiance spectra measured with the University of Wisconsin AERI system at the SGP CART site near Lamont, Oklahoma and with the extended range AERI at the SHEBA Ice Station,

172

VEHICLE ACCESS PORTALS  

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

East Jemez Road (Map 1) East Jemez Road (Map 1) VEHICLE ACCESS PORTALS Traffic Lane 1: Closed except for emergencies and maintenance operations. Traffic Lanes 2-7: Drivers required to stop and present LANL badges or other form of valid identification to Protective Force officers. Drivers may proceed upon direction of the officers. Note: Commercial delivery vehicle drivers must also pres- ent their inspection passes from Post 10. More Information: spp-questions@lanl.gov Non-work Hours Vehicles entering LANL at the East Jemez VAPs during non-work hours (between 7

173

ARM TR-006  

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7 7 The ARM Southern Great Plains Central Facility Best Estimate Radiative Flux CD April 2002 C. N. Long Pacific Northwest National Laboratory Richland, Washington Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research C.N. Long, April 2002, ARM TR-007 i Contents 1 Introduction ........................................................................................................................ 1 2 The Best Estimate Flux VAP (March 1997 - December 2001) .......................................... 1 3 Manual Determination of Best Estimate Flux (May 1995 - March 1997)............................ 2 3.1 Data Sampling Rate Issues..........................................................................................

174

LCCP Desktop Application v1.0 Engineering Reference  

SciTech Connect (OSTI)

This Life Cycle Climate Performance (LCCP) Desktop Application Engineering Reference is divided into three parts. The first part of the guide, consisting of the LCCP objective, literature review, and mathematical background, is presented in Sections 2-4. The second part of the guide (given in Sections 5-10) provides a description of the input data required by the LCCP desktop application, including each of the input pages (Application Information, Load Information, and Simulation Information) and details for interfacing the LCCP Desktop Application with the VapCyc and EnergyPlus simulation programs. The third part of the guide (given in Section 11) describes the various interfaces of the LCCP code.

Beshr, Mohamed [University of Maryland, College Park; Aute, Vikrant [University of Maryland, College Park

2014-04-01T23:59:59.000Z

175

ARM Energy Balance Bowen Ratio (EBBR) station: surf. heat flux and related data, 30-min  

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

The Energy Balance Bowen Ratio (EBBR) system produces 30-min estimates of the vertical fluxes of sensible and latent heat at the local surface. Flux estimates are calculated from observations of net radiation, soil surface heat flux, and the vertical gradients of temperature and relative humidity. Meteorological data collected by the EBBR are used to calculate bulk aerodynamic fluxes, which are used in the Bulk Aerodynamic Technique (BA) EBBR value-added product (VAP) to replace sunrise and sunset spikes in the flux data. A unique aspect of the system is the automatic exchange mechanism (AEM), which helps to reduce errors from instrument offset drift.

Cook, David

176

The ISM equation of state applied to refrigerants  

SciTech Connect (OSTI)

In this work, the authors apply an equation of state based on statistical-mechanical perturbation theory to liquid refrigerants and their mixtures. Three temperature-dependent parameters are needed to use the equation of state: the second virial coefficient, B{sub 2}(T), an effective van der Waals covolume, b(T), and a scaling factor, {alpha}(T). The second virial coefficients are calculated from a correlation based on the heat of vaporization, {Delta}H{sub vap}, and the liquid density at the freezing point, p{sub fp}. {alpha}(T) and {beta}(T) can also be calculated from the second virial coefficient by a scaling rule. Based on the theory, these two temperature-dependent parameters depend only on the repulsive branch of the potential function, and therefore, by the procedure, can be found from {Delta}H{sub vap} and p{sub fp}. The theory has considerable predictive power, since it permits the construction of the p-v-T surface from the heat of vaporization plus the triple-point density. The equation of state is tested for pure, two- and three-component liquid refrigerant mixtures.

Eslami, H.; Sabzi, F.; Boushehri, A.

1999-09-01T23:59:59.000Z

177

Data Quality of Quality Measurement Experiments  

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

Data Quality of Quality Measurement Experiments Data Quality of Quality Measurement Experiments S. Bottone and S. Moore Mission Research Corporation Santa Barbara, California Introduction Quality Measurement Experiments (QME) are a special class of Value-Added Products (VAP). QMEs add value to Atmospheric Radiation Measurement (ARM) Program datastreams by providing for continuous assessment of the quality of incoming data based on internal consistency checks, comparisons between independent similar measurements, or comparisons between measurements and modeled results. Like any datastream, QME datastreams need to be checked for data quality. For each QME, we analyze a representative sample of files from the ARM data archive to determine 'typical' values of the QME variables. We then design outlier tests, specific to each variable, to be applied to

178

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

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

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

179

ARM - Datastreams - 1440smos  

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

smos smos Documentation Data Quality Plots Citation DOI: 10.5439/1024909 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 1440SMOS Surface Met Observation Station (SMOS): daily minimum/maximum data, with times Active Dates 1994.03.08 - 2009.09.30 Measurement Categories Atmospheric State Originating Instrument Surface Meteorological Observation System Instruments for SGP (SMOS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Atmospheric pressure max_bar_pres Atmospheric moisture max_rh Precipitation max_snow Atmospheric temperature max_temp Atmospheric moisture max_vap_pres Horizontal wind

180

ARM - Datastreams - 1440twr21x  

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

1x 1x Documentation Data Quality Plots Citation DOI: 10.5439/1025024 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : 1440TWR21X Sixty Meter Tower: daily minimum/maximum meterological data, with times Active Dates 1994.03.24 - 1996.02.04 Measurement Categories Atmospheric State Originating Instrument Facility-specific multi-level Meteorological Instrumentation (TWR) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Atmospheric moisture max_rh Atmospheric temperature max_temp Atmospheric moisture max_vap_pres Atmospheric moisture min_rh Atmospheric temperature min_temp Atmospheric moisture

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


181

ARM - Data Announcements Article  

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

Large-Scale Forcing Data Set for SPARTICUS Available Large-Scale Forcing Data Set for SPARTICUS Available Bookmark and Share Precipitation (top) and Omega (bottom) in April 2010 at SGP based on large-scale forcing data for SPARTICUS. Precipitation (top) and Omega (bottom) in April 2010 at SGP based on large-scale forcing data for SPARTICUS. A new large-scale forcing data set is now available for the Variational Analysis (VARANAL) value-added product (VAP) using data from the Small Particles in Cirrus (SPARTICUS) field campaign. The constrained variational objective analysis approach described in Zhang and Lin (1997) and Zhang et al. (2001) was used to derive the large-scale single-column/cloud-resolving model forcing and evaluation data set from the observational data collected at ARM Facility's Southern Great Plains

182

handout.ai  

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

CHALLENGE TO ARM AND ASP CHALLENGE TO ARM AND ASP Determine aerosol radiative forcings at ARM site(s). . . . with well specified definitions. . . . with "known and reasonable uncertainties". Deliver these radiative forcings regularly and systematically as an ARM VAP. This is a necessary (not sufficient) element of determining anthropogenic aerosol forcing pertinent to climate change over the industrial period. Developing these forcing products would be an enormous challenge to ARM and ASP requiring substantial resources. APPROACH Determine 3-D cloud field by ground based and remote sensing. Determine 3-D field of aerosol amount, optical properties as ƒ(RH), cloud nucleating properties, IFN properties, by in-situ measurement. Attribute aerosol to natural and anthropogenic.

183

Research Highlight  

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

Five-Year Statistics of Shallow Clouds at the ACRF SGP Site Five-Year Statistics of Shallow Clouds at the ACRF SGP Site Download a printable PDF Submitter: Berg, L., Pacific Northwest National Laboratory Kassianov, E., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Berg, LK, and EI Kassianov. 2008. "Temporal variability of fair-weather cumulus statistics at the ARM SGP site." Journal of Climate 21, 3344-3358. Figure 1. Five-year mean ARSCL VAP values of cloud fraction (black), cloud-base height (orange circles), cloud-top height (red), cloud thickness (blue), and cloud-chord length (green), and their average daily bias for each year (B) and low-altitude moisture (C). While fair-weather clouds (FWC) are small in size, they are ubiquitous,

184

Determination of vertical profiles of aerosol extinction, single scatter  

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

Determination of vertical profiles of aerosol extinction, single scatter Determination of vertical profiles of aerosol extinction, single scatter albedo and asymmetry parameter at Barrow. Sivaraman, Chitra Pacific Northwest National Laboratory Flynn, Connor Pacific Northwest National Laboratory Turner, David University of Wisconsin-Madison Category: Aerosols Efforts are currently underway to run and evaluate the Broadband Heating Rate Profile project at the ARM North Slope of Alaska (NSA) Barrow site for the time period March 2004 - February 2005. The Aerosol Best-Estimate (ABE) Value-Added Procedure (VAP) is to provide continuous estimates of vertical profiles of aerosol extinction, single-scatter albedo, and asymmetry parameter above the Northern Slopes of Alaska (NSA) facility. In the interest of temporal continuity, we have developed an algorithm that

185

ARM - Data Announcements Article  

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

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

186

3. New Cloud Climatology  

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

New Cloud Climatology New Cloud Climatology Computed for the summers (May-Au- gust) 2000 through 2004 (Berg and Kassianov 2008). Uses ARSCL VAP, Total Sky Imager, and radar wind profiler. * * Initial Evaluation of the Cumulus Potential Scheme at the ACRF SGP Site Larry Berg, William Gustafson, and Evgueni Kassianov Pacific Northwest National Laboratory 1. Motivation Shallow clouds are poorly predicted by current global and regional scale models. A new parameterization has been devel- oped that links the boundary-layer turbu- lence and the shallow clouds. 2. The CuP Parameterization The Cumulus Potential (CuP) param- eterization uses Probability Density Functions (PDFs) of temperature and moisture to represent the subgrid scale

187

Microsoft Word - long-cn.doc  

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

Next Generation Flux Analysis: Adding Clear-Sky LW Next Generation Flux Analysis: Adding Clear-Sky LW and LW Cloud Effects, Cloud Optical Depths, and Improved Sky Cover Estimates C. N. Long Pacific Northwest National Laboratory Richland, Washington Introduction The original Shortwave Flux Analysis (SWFA), based on Long and Ackerman (2000) and Long et al. (1999), deals only with daylight shortwave (SW) data. The SWFA algorithm produces continuous estimates of clear-sky downwelling diffuse, direct, and total SW; estimated fractional sky cover; and identification of when the sky was cloudless. This algorithm package is being produced as an Atmospheric Radiation Measurement (ARM) value-added product (VAP), as described in Long and Gaustad (2001). Subsequent efforts for analysis of surface broadband radiation and meteorological measurements now

188

EIS-0238: Withdrawal of Notice of Intent to Prepare an Environmental Impact  

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

38: Withdrawal of Notice of Intent to Prepare an 38: Withdrawal of Notice of Intent to Prepare an Environmental Impact Statement EIS-0238: Withdrawal of Notice of Intent to Prepare an Environmental Impact Statement Proposed Minnesota Agri-Power Plant and Associated Facilities On October 7, 1998 (63 FR 53885), U.S. Department of Energy (DOE) and the Minnesota Environmental Quality Board [MEQB, a Minnesota State agency] announced its intent to prepare a joint Environmental Impact Statement (EIS) regarding a proposal by the Minnesota Valley Alfalfa Producers (MnVAP) to construct and operate a 75-103 megawatt biomass fueled gasifier and electric generating facility, known as the Minnesota Agri- Power Plant (MAPP), and associated transmission lines and alfalfa processing facilities. After careful review of this proposed biopower

189

Bench-Scale Cross Flow Filtration of  

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

2 2 ARM Value-Added Product (VAP) Monthly Status Report ARM Translator Team J. Comstock C. Flynn M. Jensen C. Long S. McFarlane D. Turner S. Xie October 1, 2007 Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service

190

Microsoft Word - shi_y.doc  

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

Measurement Data Quality Assessment Measurement Data Quality Assessment at the Atmospheric Radiation Measurement Program Tropical Western Pacific and North Slope of Alaska Sites Y. Shi and C.N. Long Pacific Northwest National Laboratory Richland, Washington Introduction The QCRad VAP is being developed to assess the data quality for surface broadband radiation data collected at all Atmospheric Radiation Measurement (ARM) Program facilities, and provide continuity where possible for missing or "bad" shortwave (SW) irradiance from collocated instruments. In previous ARM Science Team Meetings we have presented analyses of data quality assessment for the Southern Gret Plains (SGP) Extended Facilities (Shi and Long 2003), and the techniques and methods used to derive the best estimate of total downwelling shortwave radiation (Shi and Long 2004). We

191

BNL | Cloud Lifecycle Infrastructure  

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

Cloud Life Cycle Infrastructure Cloud Life Cycle Infrastructure An important component of any long-term atmospheric measurement program is the quality control and maintenance of the datastreams from instrument systems. Further, the raw measurements from atmospheric remote sensing instrumentation are not directly useable by the majority of the scientific community. These raw measurements must be interpreted and converted to geophysical quantities that can be more readily used by a greater number of scientists to address important questions regarding the Earth's climate system. The cloud life cycle infrastructure group at BNL is led by Dr. Michael Jensen and is responsible for the development and production of cloud-related value-added products (VAPs). The cloud life cycle infrastructure group also provides mentorships for the millimeter cloud

192

ARM - Data Announcements Article  

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

September 19, 2013 [Data Announcements] September 19, 2013 [Data Announcements] New ARM Best Estimate Land Product Contains Critical Soil Quantities for Describing Land Properties Bookmark and Share Soil moisture at the SGP Central Facility site for 1998, mean over five EBBR sensors, measured at 5 centimeters underground. Soil moisture at the SGP Central Facility site for 1998, mean over five EBBR sensors, measured at 5 centimeters underground. The ARM Best Estimate: Land (ARMBELAND) value-added prduct (VAP) is a subset of the ARM Best Estimate (ARMBE) products designed to support community land-atmospheric research and land model developments. It contains several critical soil quantities that ARM has been measuring for many years for describing land properties. The quantities in ARMBELAND are

193

1  

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

Evaluation of Cloud Cover, Cloud Effect, and Surface Evaluation of Cloud Cover, Cloud Effect, and Surface Radiation Budgets at the SGP and TWP ARM Sites K. L. Gaustad and C. N. Long Pacific Northwest National Laboratory Richland, Washington Introduction The U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Program has established networks of broadband shortwave (SW) radiometers at each of its field research sites. The shortwave flux analysis value-added product (SWFuxAnal VAP) applies a clear-sky detection and fitting technique to data collected from these sensors to identify clear-sky conditions, produce a continuous estimate of clear-sky SW irradiance, and assess the effect of cloudiness on downwelling SW measurements. The clear-sky detection algorithm has been expanded to allow its use in not only

194

ARM - Evaluation Product - Sonde-Adjust  

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

ProductsSonde-Adjust ProductsSonde-Adjust Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Sonde-Adjust Site(s) FKB GRW HFE NIM NSA PYE SGP TWP General Description The sonde-adjust VAP produces data that corrects documented biases in radiosonde humidity measurements. Unique fields contained within this datastream include smoothed original relative humidity, dry bias corrected relative humidity, and final corrected relative humidity. The smoothed RH field refines the relative humidity from integers - the resolution of the instrument - to fractions of a percent. This profile is then used to calculate the dry bias corrected field. The final correction fixes a time-lag problem and uses the dry-bias field as input into the algorithm.

195

EIS-0300: Notice of Intent to Prepare an Environmental Impact Statement |  

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

Notice of Intent to Prepare an Environmental Impact Notice of Intent to Prepare an Environmental Impact Statement EIS-0300: Notice of Intent to Prepare an Environmental Impact Statement Proposed Minnesota Agri-Power Plant and Associated Facilities In accordance with the National Environmental Policy Act of 1969 (NEPA), and Minnesota Statutes, Ch 116D, the U.S. Department of Energy (DOE) and the Minnesota Environmental Quality Board [MEQB, a Minnesota State agency] announce their intent to prepare a joint Environmental Impact Statement (EIS) regarding a proposal by the Minnesota Valley Alfalfa Producers (MnVAP) to construct and operate a 75-103 megawatt biomass fueled gasifier and electric generating facility, known as the Minnesota Agri-Power Plant (MAPP), and associated transmission lines and alfalfa processing facilities.

196

Preliminary Analysis of ARM SGP Area Sky Cover and Downwelling SW Irradiance  

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

Clarifying and Implementing a Stricter DOD Definition Across Datastreams Clarifying and Implementing a Stricter DOD Definition Across Datastreams C. Sivaraman, B. Ermold, M. Macduff Pacific Northwest National Laboratory Definition of DOD: All dimension, attribute and variable types and names are considered part of a DOD. A change in any part of the DOD is considered a version change. Outcomes: ACRF enforces greater consistency in data Downstream users benefit (DQ, VAPs, scientists) Identify inconsistencies across datastreams Datastream development is more efficient BODS interface, updated libraries Improved data analysis tools for ACRF and ARM Visual Datastream history tool (below) Issues with current DOD history: The DOD History page: http://science.arm.gov/tool/dod/showdod.php * Tracks both content and structure. * Needs Custom Configuration

197

Climate Science for a Sustainable Energy Future Atmospheric Radiation Measurement Best Estimate (CSSEFARMBE)  

SciTech Connect (OSTI)

The Climate Science for a Sustainable Energy Future (CSSEF) project is working to improve the representation of the hydrological cycle in global climate models, critical information necessary for decision-makers to respond appropriately to predictions of future climate. In order to accomplish this objective, CSSEF is building testbeds to implement uncertainty quantification (UQ) techniques to objectively calibrate and diagnose climate model parameterizations and predictions with respect to local, process-scale observations. In order to quantify the agreement between models and observations accurately, uncertainty estimates on these observations are needed. The DOE Atmospheric Radiation Measurement (ARM) program takes atmospheric and climate related measurements at three permanent locations worldwide. The ARM VAP called the ARM Best Estimate (ARMBE) [Xie et al., 2010] collects a subset of ARM observations, performs quality control checks, averages them to one hour temporal resolution, and puts them in a standard format for ease of use by climate modelers. ARMBE has been widely used by the climate modeling community as a summary product of many of the ARM observations. However, the ARMBE product does not include uncertainty estimates on the data values. Thus, to meet the objectives of the CSSEF project and enable better use of this data with UQ techniques, we created the CSSEFARMBE data set. Only a subset of the variables contained in ARMBE is included in CSSEFARMBE. Currently only surface meteorological observations are included, though this may be expanded to include other variables in the future. The CSSEFARMBE VAP is produced for all extended facilities at the ARM Southern Great Plains (SGP) site that contain surface meteorological equipment. This extension of the ARMBE data set to multiple facilities at SGP allows for better comparison between model grid boxes and the ARM point observations. In the future, CSSEFARMBE may also be created for other ARM sites. As each site has slightly different instrumentation, this will require additional development to understand the uncertainty characterization associated with instrumentation at those sites. The uncertainty assignment process is implemented into the ARM programs new Integrated Software Development Environment (ISDE) so that many of the key steps can be used in the future to screen data based on ARM Data Quality Reports (DQRs), propagate uncertainties when transforming data from one time scale into another, and convert names and units into NetCDF Climate and Forecast (CF) standards. These processes are described in more detail in the following sections.

Riihimaki, Laura D.; Gaustad, Krista L.; McFarlane, Sally A.

2012-09-28T23:59:59.000Z

198

Slide 1  

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

WSR-88D profiles over SGP ARM site WSR-88D profiles over SGP ARM site PI VAP (X. Dong et al., University of North Dakota) Examples from X. Dong: a) MMCR time-height cross-section b) KVNX time-height cross section c) merged product d) surface rain rate and LWP -40 -30 -20 -10 0 10 20 30 40 0 1 2 3 4 5 6 7 8 9 10 11 12 observed reflectivity, Z e (dBZ) height AGL (km) MMCR general mode 1-May-2007 black lines - 10:00 UTC blue lines - 12:00 UTC KVNX A stratiform precipitation case study at SGP (1 May 2007) -40 -30 -20 -10 0 10 20 30 40 0 1 2 3 4 5 6 7 8 9 10 11 12 observed reflectivity, Z e (dBZ) height AGL (km) MMCR general mode 1-May-2007 black lines - 10:00 UTC blue lines - 12:00 UTC KVNX 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 0 5 10 15 20 25 30 35 40 45 time (UTC, decimal) reflectivity (dBZ) KVNX measured at 1.66 km AGL over SGP S-band calculated from JWD DSDs 1 May 2007 Comparisons of KVNX and S-band JWD reflectivities

199

Minnesota agripower project. Quarterly report, April--June 1997  

SciTech Connect (OSTI)

The Minnesota Valley Alfalfa Producers (MnVAP) propose to build an alfalfa processing plant integrated with an advanced power plant system at the Granite Falls, Minnesota Industrial Park to provide 75 MW of base load electric power and a competitively priced source of value added alfalfa based products. This project will utilize air blown fluidized bed gasification technology to process alfalfa stems and another biomass to produce a hot, clean, low heating value gas that will be used in a gas turbine. Exhaust heat from the gas turbine will be used to generate steam to power a steam turbine and provide steam for the processing of the alfalfa leaf into a wide range of products including alfalfa leaf meal, a protein source for livestock. The plant will demonstrate high efficiency and environmentally compatible electric power production, as well as increased economic yield from farm operations in the region. The initial phase of the Minnesota Agripower Project (MAP) will be to perform alfalfa feedstock testing, prepare preliminary designs, and develop detailed plans with estimated costs for project implementation. The second phase of MAP will include detailed engineering, construction, and startup. Full commercial operation will start in 2001.

Baloun, J.

1997-07-01T23:59:59.000Z

200

Cloud Condensation Nuclei Profile Value-Added Product  

SciTech Connect (OSTI)

The cloud condensation nuclei (CCN) concentration at cloud base is the most relevant measure of the aerosol that influences droplet formation in clouds. Since the CCN concentration depends on supersaturation, a more general measure of the CCN concentration is the CCN spectrum (values at multiple supersaturations). The CCN spectrum is now measured at the surface at several fixed ARM sites and by the ARM Mobile Facility (AMF), but is not measured at the cloud base. Rather than rely on expensive aircraft measurements for all studies of aerosol effects on clouds, a way to project CCN measurements at the surface to cloud base is needed. Remote sensing of aerosol extinction provides information about the vertical profile of the aerosol, but cannot be directly related to the CCN concentration because the aerosol extinction is strongly influenced by humidification, particularly near cloud base. Ghan and Collins (2004) and Ghan et al. (2006) propose a method to remove the influence of humidification from the extinction profiles and tie the dry extinction retrieval to the surface CCN concentration, thus estimating the CCN profile. This methodology has been implemented as the CCN Profile (CCNPROF) value-added product (VAP).

McFarlane, S; Sivaraman, C; Ghan, S

2012-10-08T23:59:59.000Z

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


201

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

SciTech Connect (OSTI)

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

Wu, Xiaoqing

2014-02-25T23:59:59.000Z