Opportunity Information: Apply for NOAA NESDIS NESDISPO 2015 2004220
Apply for NOAA NESDIS NESDISPO 2015 2004220
- The Department of Commerce in the education environment science and technology and other research and development sector is offering a public funding opportunity titled "JCSDA 2015 Research in Satellite Data Assimilation for Numerical Environmental Prediction" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 11.440 Environmental Sciences, Applications, Data, and Education.
- This funding opportunity was created on Dec 15, 2014 and posted on Oct 29, 2014.
- Applicants must submit their applications by Jan 26, 2015. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $500,000.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $150,000.00 in funding.
- The number of recipients for this funding is limited to 5 candidate(s).
- Eligible applicants include: State governments County governments Native American tribal organizations (other than Federally recognized tribal governments) Public and State controlled institutions of higher education Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Small businesses For profit organizations other than small businesses Private institutions of higher education Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Native American tribal governments (Federally recognized) City or township governments.
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Opportunity Summary:
The JCSDA 2015 Research in Satellite Data Assimilation for Numerical Environmental Prediction opportunity was a competitive NOAA-led grant/cooperative agreement solicitation designed to fund applied research that helps U.S. operational forecasting centers use satellite observations faster and more effectively. JCSDA (the Joint Center for Satellite Data Assimilation) is a multi-agency, distributed partnership spanning NOAA, NASA, and the Department of Defense. It connects teams and operational needs across NASA Goddard (GSFC), NOAA NESDIS STAR, NOAA NWS/NCEP, NOAA OAR, the U.S. Navy (including NRL), and the U.S. Air Force weather enterprise. The central aim is practical: speed up the transition of satellite data assimilation advances into the operational numerical models used for environmental prediction, and measurably improve the forecasts those systems produce.
The scientific scope focused on satellite data assimilation and the enabling science and software needed to get more value from both existing satellite sensors and upcoming missions. Proposals were expected to target one or more of JCSDA s priority research areas: radiative transfer (improving the forward modeling that links geophysical states to satellite measured radiances), clouds and precipitation assimilation (a traditionally difficult area because of nonlinear physics and observation errors), advanced instrument data assimilation (methods for newer or more complex sensors), land data assimilation (soil moisture, snow, surface states), ocean data assimilation (sea surface temperature, salinity, ocean color or other relevant satellite derived signals where appropriate), and air composition data assimilation (aerosols and trace gases). Across all topics, the emphasis was not just on doing science in isolation but on producing results that can be integrated into NOAA and DoD forecast workflows.
A key evaluation concept embedded in the announcement was operational impact, specifically acceleration: how quickly the proposed work could lead to real satellite data usage in NOAA and DoD forecasting systems, and how clearly it could be tied to forecast improvements. In practice, that means the solicitation favored work that connects to operational models, community assimilation frameworks, radiative transfer tools, observation processing pipelines, and verification methods that demonstrate value. The solicitation also made clear that JCSDA conducts both internal research and external research, with this opportunity representing the external, competitively awarded pathway for universities, nonprofits, government entities, and industry to contribute directly to JCSDA priorities.
Administratively, this was a discretionary funding opportunity from the Department of Commerce (NOAA), issued under Funding Opportunity Number NOAA-NESDIS-NESDISPO-2015-2004220 and CFDA 11.440 (Environmental Sciences, Applications, Data, and Education). The funding instrument types were Grants and Cooperative Agreements, with an expectation of around five awards. Total estimated funding was about $500,000, with typical project sizes between a $90,000 floor and a $150,000 ceiling. No cost share or matching was required, lowering barriers for academic and nonprofit applicants. Eligibility was broad and included state, county, and city governments; federally recognized and other tribal organizations; public and private institutions of higher education; nonprofits (including 501(c)(3) and certain non-501(c)(3) organizations); small businesses; and other for-profit organizations.
The timeline reflects a standard federal competitive cycle: the opportunity was posted October 29, 2014, initially due January 15, 2015, and later extended to a current closing date of January 26, 2015, with the opportunity archived February 14, 2015. The listed point of contact for access issues with the full announcement was Ericka Rosier (301-683-3512). Overall, the program can be understood as targeted, transition-oriented R and D funding meant to move satellite assimilation methods out of research mode and into the operational forecasting systems that support U.S. weather and environmental prediction missions.
Frequently Asked Questions (FAQs)
What is the JCSDA 2015 Research in Satellite Data Assimilation for Numerical Environmental Prediction opportunity?
It was a competitive NOAA-led grant/cooperative agreement solicitation focused on applied research in satellite data assimilation for numerical environmental prediction. The goal was to help U.S. operational forecasting centers use satellite observations faster and more effectively, and to measurably improve operational forecasts.
Who led this funding opportunity?
The opportunity was led by the Department of Commerce through NOAA, with the Joint Center for Satellite Data Assimilation (JCSDA) as the program context and operational transition target.
What is JCSDA?
JCSDA (the Joint Center for Satellite Data Assimilation) is a multi-agency, distributed partnership spanning NOAA, NASA, and the Department of Defense. It is designed to connect research teams with the operational needs of U.S. forecasting centers so satellite data assimilation advances can be transitioned into operational use.
Which organizations and operational centers are connected through JCSDA?
The partnership spans teams and operational needs across NASA Goddard (GSFC), NOAA NESDIS STAR, NOAA NWS/NCEP, NOAA OAR, the U.S. Navy (including NRL), and the U.S. Air Force weather enterprise.
What was the central aim of the solicitation?
The central, practical aim was to speed up the transition of satellite data assimilation advances into the operational numerical models used for environmental prediction, and to produce measurable forecast improvements.
What kind of research was this program trying to fund?
The solicitation targeted applied, transition-oriented research in satellite data assimilation and the enabling science and software needed to increase value from existing satellite sensors and upcoming missions. The emphasis was on results that can be integrated into NOAA and Department of Defense (DoD) forecast workflows.
What were the priority research areas applicants were expected to address?
Proposals were expected to target one or more JCSDA priority research areas, including:
- Radiative transfer (improving forward modeling that links geophysical states to satellite-measured radiances)
- Clouds and precipitation assimilation (challenging due to nonlinear physics and observation errors)
- Advanced instrument data assimilation (methods for newer or more complex sensors)
- Land data assimilation (soil moisture, snow, and surface states)
- Ocean data assimilation (such as sea surface temperature, salinity, ocean color, or other relevant satellite-derived signals, where appropriate)
- Air composition data assimilation (aerosols and trace gases)
Was the emphasis more on basic science or on operational impact?
The emphasis was strongly on operational impact and acceleration. The solicitation favored work that could be tied clearly to real satellite data usage in NOAA and DoD forecasting systems and that could demonstrate forecast improvements.
What did "operational impact" mean in the context of this opportunity?
Operational impact referred to how quickly and effectively the proposed work could transition into operational forecasting systems, including clearer pathways to real satellite data use and verification approaches that demonstrate improved forecast performance.
What kinds of connections to operations were favored by the solicitation?
The solicitation favored work that connects to operational models and the supporting ecosystem needed for implementation, such as community assimilation frameworks, radiative transfer tools, observation processing pipelines, and verification methods that demonstrate value.
Was this an internal JCSDA research activity or an external competition?
This opportunity represented the external, competitively awarded pathway. The announcement also noted that JCSDA conducts both internal and external research, with this solicitation being the external funding mechanism.
What federal program identifiers were associated with this opportunity?
The opportunity was issued under Funding Opportunity Number NOAA-NESDIS-NESDISPO-2015-2004220 and CFDA 11.440 (Environmental Sciences, Applications, Data, and Education).
What funding instrument types were used?
The solicitation offered support through Grants and Cooperative Agreements.
How many awards were expected?
The opportunity anticipated around five awards.
What was the estimated total funding amount?
The total estimated funding was about $500,000.
What was the typical award size for a project?
Typical project sizes were expected to fall between a $90,000 floor and a $150,000 ceiling.
Was cost share or matching required?
No. The solicitation stated that no cost share or matching was required, which reduced barriers for academic and nonprofit applicants.
Who was eligible to apply?
Eligibility was broad and included:
- State, county, and city governments
- Federally recognized tribal governments and other tribal organizations
- Public and private institutions of higher education
- Nonprofits, including 501(c)(3) and certain non-501(c)(3) organizations
- Small businesses
- Other for-profit organizations
What was the posting date for the opportunity?
The opportunity was posted on October 29, 2014.
What was the original proposal due date, and was it extended?
The original due date was January 15, 2015. It was later extended to a closing date of January 26, 2015.
When was the opportunity archived?
The opportunity was archived on February 14, 2015.
Who was listed as the point of contact for access issues with the full announcement?
The listed point of contact for access issues was Ericka Rosier at 301-683-3512.
What is the overall purpose of this type of funding program?
The program was targeted, transition-oriented R&D funding intended to move satellite data assimilation methods out of research mode and into operational forecasting systems supporting U.S. weather and environmental prediction missions.
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