Opportunity Information: Apply for DE FOA 0001431
The U.S. Department of Energy (DOE) Office of Science, through the Office of Biological and Environmental Research (BER) in the Climate and Environmental Sciences Division (CESD), announced a discretionary grant opportunity under its Atmospheric System Research (ASR) Program focused on creating "new data products" from Atmospheric Radiation Measurement (ARM) site instruments. The central goal is to fund research that can turn existing ARM observations into proof-of-concept, value-added datasets that provide novel and improved information about geophysical variables relevant to clouds, aerosols, precipitation, and radiative transfer. These are the core atmospheric processes that strongly influence Earths energy balance and water cycle, and they are also areas where climate models often struggle. The intent is not simply to collect more measurements, but to improve how measurements are translated into usable, model-relevant quantities.
A major emphasis of the opportunity is on reducing uncertainty in climate modeling by targeting geophysical quantities that currently have large errors or are poorly constrained. In practical terms, the DOE is looking for applicants to develop retrievals, algorithms, or integrated products that better characterize atmospheric states and processes that feed directly into regional and global climate models. The most competitive concepts would likely show how a proposed data product addresses a known modeling weakness, such as biases in cloud properties, aerosol effects on radiation, precipitation process representation, or the coupling between clouds and atmospheric dynamics. The opportunity frames these products as proof-of-concept, meaning the work should demonstrate feasibility and value, with a clear pathway for the product to become a useful tool for the broader modeling and research community.
Administratively, this funding opportunity is identified as "Atmospheric System Research Program - New Data Products" with Funding Opportunity Number DE FOA 0001431 and CFDA number 81.049. It is a grant mechanism in the Science and Technology and other Research and Development category, and the eligible applicant pool is listed as unrestricted, indicating that a wide range of organizations could apply if they can meet federal grant requirements. The posting was created on 2015-10-02, and the original closing date for applications was 2016-01-13. The listed award ceiling is $250,000. The notice also references expected awards, but the number is not specified in the provided source text.
In summary, this ASR call is aimed at strengthening climate science infrastructure by turning ARM instrument observations into improved, model-ready geophysical datasets, especially for variables that are currently uncertain or responsible for major limitations in climate predictability. The focus is on scientific and technical innovation in data product development that can ultimately help climate models better represent key atmospheric processes and thereby improve the reliability of regional and global projections.Apply for DE FOA 0001431
- The Office of Science in the science and technology and other research and development sector is offering a public funding opportunity titled "Atmospheric System Research Program – New Data Products" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 81.049.
- This funding opportunity was created on 2015-10-02.
- Applicants must submit their applications by 2016-01-13. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $250,000.00 in funding.
- Eligible applicants include: Unrestricted.
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Frequently Asked Questions (FAQs)
What is this funding opportunity?
This is a discretionary grant opportunity from the U.S. Department of Energy (DOE) Office of Science, Office of Biological and Environmental Research (BER), Climate and Environmental Sciences Division (CESD), under the Atmospheric System Research (ASR) Program. The opportunity is titled "Atmospheric System Research Program - New Data Products" and focuses on creating new, value-added data products using existing Atmospheric Radiation Measurement (ARM) site instrument observations.
What is the main goal of the program?
The central goal is to fund research that converts existing ARM observations into proof-of-concept, value-added datasets that provide novel and improved information about geophysical variables relevant to clouds, aerosols, precipitation, and radiative transfer. The emphasis is on improving how measurements are translated into usable, model-relevant quantities rather than collecting additional measurements.
What kinds of "new data products" is DOE looking for?
The opportunity is looking for retrievals, algorithms, and/or integrated products that better characterize atmospheric states and processes using ARM site instrument observations. These products should yield improved geophysical variables that are directly relevant to atmospheric science and climate modeling, especially in areas where current uncertainties and errors are large.
Which scientific topics or variables are emphasized?
The call emphasizes geophysical variables and processes tied to clouds, aerosols, precipitation, and radiative transfer. These are described as core atmospheric processes that strongly influence Earth's energy balance and water cycle, and they are also areas where climate models often struggle.
Is this opportunity about collecting new observations at ARM sites?
No. The intent is not simply to collect more measurements. The focus is on using existing ARM observations and improving the translation of those observations into value-added, model-relevant datasets.
How does this funding opportunity connect to climate modeling?
A major emphasis is on reducing uncertainty in climate modeling by targeting quantities that currently have large errors or are poorly constrained. Competitive concepts would likely demonstrate how the proposed data product addresses known modeling weaknesses, such as biases in cloud properties, aerosol effects on radiation, precipitation process representation, or the coupling between clouds and atmospheric dynamics.
What does "proof-of-concept" mean in this announcement?
In this context, "proof-of-concept" means the work should demonstrate feasibility and value of the proposed data product. The product should show clear potential to become useful to the broader modeling and research community, with a clear pathway toward broader use.
What program is sponsoring this opportunity?
The opportunity is sponsored through the Atmospheric System Research (ASR) Program, within DOE Office of Science, BER, CESD.
What is the Funding Opportunity Number (FOA number)?
The Funding Opportunity Number is DE FOA 0001431.
What is the CFDA number associated with this opportunity?
The CFDA number listed is 81.049.
What type of award mechanism is being used?
The opportunity uses a grant mechanism and is categorized under "Science and Technology and other Research and Development."
Who is eligible to apply?
The eligible applicant pool is listed as unrestricted. This indicates a wide range of organizations could apply, as long as they can meet federal grant requirements.
What is the maximum award amount (award ceiling)?
The listed award ceiling is $250,000.
How many awards are expected?
The notice references expected awards, but the number of expected awards is not specified in the provided information.
When was the opportunity posted?
The posting was created on 2015-10-02.
What was the application closing date?
The original closing date for applications was 2016-01-13.
What is ARM and why is it important here?
ARM refers to the Atmospheric Radiation Measurement site instruments and observations. In this opportunity, ARM data are the source observations applicants are expected to use to create new, value-added data products relevant to clouds, aerosols, precipitation, and radiative transfer.
What outcomes does DOE appear to be aiming for with this call?
The call is aimed at strengthening climate science infrastructure by turning ARM instrument observations into improved, model-ready geophysical datasets. The goal is to help climate models better represent key atmospheric processes and improve the reliability of regional and global climate projections.
What kinds of modeling weaknesses does the announcement highlight as examples?
The opportunity highlights examples such as biases in cloud properties, aerosol effects on radiation, how precipitation processes are represented, and the coupling between clouds and atmospheric dynamics.
What makes a concept likely to be competitive, based on the description provided?
Based on the description, competitive concepts would likely (1) target geophysical quantities with large current uncertainties, (2) clearly connect the proposed data product to a known climate modeling weakness, and (3) demonstrate proof-of-concept feasibility and value, including a clear pathway for the product to become useful to a broader research and modeling community.
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