15ac5e73-ea73-11de-b88d-00219b106224

eng

Dr. Paul W. Stackhouse Jr.

Atmospheric Science Data Center

Scientific Contact

Mail Stop 420 21 Langley Boulevard NASA Langley Research Center

Hampton

Virginia

23681-2199

United States

Paul.W.Stackhouse@nasa.gov

Point of contact

2009-12-16

ISO 19115

ISO19115:2003/Cor 1 2006

NASA/GEWEX Surface Radiation Budget (SRB) data sets

1996-12-01

Publication

The NASA/GEWEX Surface Radiation Budget (SRB) data sets contains global 3-hourly, daily, monthly/3-hourly, and monthly averages of surface longwave and shortwave radiative parameters on a 1 deg x 1 deg grid. Cloud amounts and other atmospheric state parameters, used as inputs to the models, are also included in the data sets. Primary inputs to the models include: visible and infrared radiances, and cloud and surface properties inferred from International Satellite Cloud Climatology Project (ISCCP) pixel-level (DX) data; temperature and moisture profiles from GEOS-4 reanalysis product obtained from the NASA Global Modeling and Assimilation Office (GMAO); and column ozone amounts constituted from Total Ozone Mapping Spectrometer (TOMS) and TIROS Operational Vertical Sounder (TOVS) archives, and Stratospheric Monitoring-group's Ozone Blended Analysis (SMOBA), an assimilation product from NOAA's Climate Prediction Center. These data sets are also reformatted for the use of renewable energy and agricultural communities and made available through the Surface meteorology and Solar Energy (SSE) website. SRB data sets are also available from Clouds and the Earth's Radiant Energy System (CERES) project and the Fast Longwave and SHortwave Radiative Fluxes (FLASHFlux) project. The latter project provides SRB data on a near real-time basis. Both projects make use of global observations from CERES and Moderate-resolution Imaging SpectroRadiometer (MODIS) instruments.

The objective of the NASA/GEWEX SRB project is to determine surface, top-of-atmosphere (TOA), and atmospheric shortwave (SW) and longwave (LW) radiative fluxes with the precision needed to predict transient climate variations and decadal-to-centennial climate trends.

onGoing

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GRID - Arc/Info Binary Format

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Atmosphere > Clouds

Atmosphere > Atmospheric Radiation

SATELLITES

grid

1 degree

eng

climatologyMeteorologyAtmosphere

-180

180

-90

90

01/07/1983

30/06/2007

3-hourly, daily, monthly, and 3-hourly monthly

Use of NASA/GEWEX SRB Data: When NASA/GEWEX SRB data products are used in a publication, they request the following acknowledgment be included "These data were obtained from the NASA Langley Research Center Atmospheric Sciences Data Center NASA/GEWEX SRB Project." The NASA/GEWEX SRB Project requests a reprint of any published papers or reports or a brief description of other uses (e.g., posters, oral presentations, etc.) of data products that they have distributed. This will help them determine the use of data that they distribute, which is helpful in optimizing product development. It also helps them to keep their product-related references current. Please contact them at larc@eos.nasa.gov for instructions on mailing reprints. Redistribution of Data To assist the NASA/GEWEX SRB Project in providing the best service to the scientific community, they request notification if you transmit these data to other researchers.

GRID - Arc/Info Binary Format

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Atmospheric Science Data Center User and Data Services Office

(757)864-8656

(757)864-8807

Mail Stop 157D 2 South Wright Street NASA Langley Research Center

Hampton

Virginia

23681-2199

United States

larc@eos.nasa.gov

owner

Mb

360- 50000

http://eosweb.larc.nasa.gov

Dataset

Input Data: Inputs to the algorithm were obtained from the following sources Cloud parameters were derived from the DX data of the International Satellite Cloud Climatology Project (ISCCP; Rossow and Schiffer, 1999, BAMS, 80, 2261-2287).  The cloud pixels were separated into categories of high, middle and low clouds where middle and low clouds could be composed of ice or water.  Cloud fractions and cloud optical depths were determined within these categories. Cloud particle sizes were assumed and cloud physical thicknesses were also derived based upon information from literature. Temperature and moisture profiles were obtained from the 4-D data assimilation Goddard EOS Data Assimilation System, level-4 (GEOS-4) obtained from the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center (GSFC) (Bloom et al., 2005. Documentation and Validation of the Goddard Earth Observing System (GEOS) Data Assimilation System - Version 4 .  Technical Report Series on Global Modeling and Data Assimilation 104606 , 26 http //gmao.gsfc.nasa.gov/pubs/docs/Bloom168.pdf) Column ozone values for the entire duration of this dataset (July 1983 to December 2004) were obtained primarily from the Total Ozone Mapping Spectrometer (TOMS) archive.  For the early period (July 1983-November 1994), TOMS data came from NIMBUS-7 and Meteor-3 satellites.  There was an interruption of about 20 months (December 1994-July 1996) after which TOMS data from EP-TOMS became available in August 1996 and continued until December 2004.  All gaps in TOMS data, including those over the polar night areas every year, were filled with column ozone values from TIROS Operational Vertical Sounder (TOVS) data. Surface emissivities were taken from a map developed at NASA LaRC (Wilber et al. 1999, NASA/TP-1999-209362, 35 pp.). This data set contains global 3-hourly, daily, monthly/3-hourly, and monthly averages of surface longwave and shortwave radiative parameters on a 1 deg x 1 deg; grid.  Coverage begins in July 1983. Temporal coverage of Release-3.0 extends to June 2007; Release-2.5 ended in June 2005 Indian Ocean Gap Artifact: There is a visible and common artifact in much of the data set period, due to a lack of coverage from geostationary satellites over an area centered on 70 degrees east longitude.  This situation , commonly called the Indian Ocean gap, occurs for all of the July 1983 - June 1998 time period, except for April 1988 - March 1989, when data from the INSAT satellite is available to cover the gap. In July of 1998, Meteosat-5 was moved over the gap area, eliminating the gap. When the Indian Ocean gap occurs, the gap area is covered by polar orbiting satellites, which can result in only one or two daytime overpasses per day. Geosynchronous temporal sampling during the daytime is 3-5 times per daytime depending upon the latitude (between 55 degrees North and South) and the time or year.  In addition, the limbs of the geostationary satellites which bound the gap may suffer from spuriously high cloud amounts, due to large view angles. This results in an abrupt drop-off of cloud fraction in the gap as compared to the gap boundary