Closed · NOAA-NESDIS-NESDISPO-2013-2003497 · CFDA 11.440 · Discretionary

JCSDA - 2013 Research in Satellite Data Assimilation for Numerical Environmental Prediction

Federal grant opportunity posted by Department of Commerce, cataloged on Grants.gov.

$90K-$150K
Award range
Closed
Status
-
Close date
3
Expected awards

The verdict

JCSDA - 2013 Research in Satellite Data Assimilation for Numerical Environmental Prediction is a closed discretionary listing from Department of Commerce that offered $90,000 -- $150,000 across 3 expected awards. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 898 other opportunities from Department of Commerce.

$90K-$150K
award range
Closed
application status
3
expected awards
11.440
CFDA program

Archived opportunity record

JCSDA - 2013 Research in Satellite Data Assim… is closed. Check the agency catalog for replacement NOFOs. Department of Commerce still indexes 898 other opportunities here.

According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.

Deadline tracker

Application window closed

This listing is no longer accepting applications

Posted Oct 17 Closed

Est. Total Funding

$500,000

Expected Awards

3

Instrument

Grant

Description

The NOAA/NASA/DOD Joint Center for Satellite Data Assimilation (JCSDA) is a distributed center that engages units of NASA: Goddard Space Flight Center (GSFC) Earth-Sun Exploration Division; NOAA: NESDIS Center for Satellite Applications and Research (STAR) , National Weather Service (NWS) National Centers for Environmental Prediction (NCEP), and Office of Oceanic and Atmospheric Research (OAR); US Navy: Oceanographer of the Navy and the Naval Research Laboratory (NRL); and US Air Force Air Weather Agency. The Joint Center's goal is to accelerate the abilities of NOAA, DoD, and NASA to ingest and effectively use the large volumes of data from current satellite-based instruments and planned satellite missions. The JCSDA supports scientific development work in the following priority areas (1) Radiative transfer, (2) Clouds and precipitation, (3) Advanced instruments data assimilation, (4) Land data assimilation, (5) Ocean data assimilation and (6) Air Composition data assimilation. JCSDA research is performed internally (internal research) as well as externally using grants and/or contracts awarded via a competitive process open to the broader scientific community (external research). The overarching goal of JCSDA research is to accelerate the assimilation of satellite data in US operational numerical environment forecast models. A primary measure of potential impact in this solicitation will be the acceleration of satellite data usage into NOAA, and DoD forecast systems, and the improvement of forecasts from those systems.

Catch-all / unrestricted eligibility mark · NOAA-NESDIS-NESDISPO-2013-2003497

Grants.gov marks JCSDA - 2013 Research in Satellite Data Assim… with a catch-all / unrestricted eligibility code (Others (see official listing text)). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Grant. Funding-activity code maps to Science and Technology / R&D (ST). This eligibility-code string dominates the Department of Commerce book (689 peers, 77% of 899).

Code 25
Others (see official listing text)

Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

Heather Hay Telephone: 301-683-3511

What to do next

JCSDA - 2013 Research in Satellite Data Assim… is closed; use the parent program and agency catalog for the next funding cycle.

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Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants