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Research in Satellite Data Assimilation for Numerical Weather and Climate Prediction Models

Published on AidPage by IDILOGIC on Jun 24, 2005
Administered by:

Department of Commerce, National Oceanic and Atmospheric Administration, Grants Management Division
(see all US Federal Agencies)

Explore all postings for this grant program:
  • Original Grant - Jul 1, 2004
Applications Due:

Letters of Intent (LOI) must be received by NOAA/NESDIS no later than 5:00 p.m. Eastern Ddaylight Ttime, August 2, 2004, and full proposals must be received no later than 5:00 p.m. Eastern Ddaylight Time, October 1, 2004. Applicants who have not received a response to their letter of intent within four weeks should contact the appropriate Technical Point of Contact.

total funding: $1,000,000
max award: $150,000
min award: $50,000
cost sharing, matching: No
number of awards: 8
type of funding: Cooperative Agreement

The NOAA/NASA/DOD Joint Center for Satellite Data Assimilation (JCSDA) announces the availability of Federal assistance for research in the area of Satellite Data Assimilation in Numerical Weather and Climate Prediction Models. The goal of the JCSDA is to accelerate the use of observations from earth-orbiting satellites in operational numerical prediction models for the purpose of improving weather forecasts, improving seasonal to interannual climate forecasts, and increasing the physical accuracy of climate data sets. The advanced instruments of current and planned NOAA, NASA, DOoD, and international agency satellite missions will provide large volumes of data on atmospheric, oceanic, and land surface conditions with accuracies and spatial resolutions never before achieved. The JCSDA will strive to realize the maximum benefit of its investment in space as part of an advanced global observing system. Funded proposals will help accelerate the use of satellite data from both operational and experimental spacecrafts in operational weather and climate prediction environments, advance data assimilation science including radiative transfer models, improve numerical weather prediction model physics to increase information extraction, and characterize the error covariances related to forecast models, radiative transfer models and satellite observations.

Who can apply:

Eligible functional categories:
Funding Sources:

Environmental Sciences, Applications, Data, and Education

More Information:

If you have problems accessing the full announcement, please contact: Drescher, Steve

Address Info:

Department of Commerce, National Oceanic and Atmospheric Administration, Grants Management Division

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