Opportunity Information: Apply for USGS 16 FA 0185
Apply for USGS 16 FA 0185
- The Department of the Interior, Geological Survey in the natural resources sector is offering a public funding opportunity titled "Notice of Intent - Characterizing Components of Uncertainty in Downscaled Climate Projections" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.808.
- This funding opportunity was created on Jul 27, 2016.
- Applicants must submit their applications by Aug 10, 2016. (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 $91,280.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Public and State controlled institutions of higher education.
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Opportunity Summary:
This grant opportunity is a Notice of Intent from the U.S. Geological Survey (USGS), within the Department of the Interior, focused on improving understanding of uncertainty in downscaled climate projections. The central aim is to characterize the different components that contribute to uncertainty when global climate information is translated ("downscaled") to finer, more locally relevant scales. Downscaled projections are widely used in natural resource management and related planning because they can provide information at spatial and temporal resolutions that are more useful for on-the-ground decisions than raw global climate model outputs. At the same time, downscaling introduces its own assumptions and limitations, and this opportunity is oriented toward clarifying where uncertainty comes from, how large different uncertainty sources are, and how those uncertainties may affect interpretation and use of the projections.
The funding mechanism is a discretionary grant, and the program sits within a natural resources funding activity category. The listed CFDA number is 15.808, indicating it is part of a federal assistance program administered by DOI/USGS. The opportunity anticipates making a single award, with a maximum (award ceiling) of $91,280, so it is relatively small and targeted, suggesting a focused research effort rather than a large multi-institutional program. Only one award is expected, which often implies either a narrowly scoped project need, a pilot effort, or an intent to support a specific line of technical work that can be completed by a single research team.
Eligibility is limited to public and state-controlled institutions of higher education. In practice, that generally means state universities and public colleges, including their campuses and potentially affiliated research units that apply through the institution. Private universities, nonprofits, local governments, and commercial entities are not listed as eligible under this notice.
Timing details indicate the opportunity was created on July 27, 2016, with an original closing date of August 10, 2016. That is a short window, consistent with a notice-of-intent style posting where applicants may be expected to respond quickly, submit a preliminary concept, or be prepared to move on a rapid proposal schedule.
In terms of what "characterizing components of uncertainty" typically entails for downscaled climate projections, work under a notice like this commonly involves separating and quantifying multiple uncertainty sources, such as differences among global climate models, emissions or concentration pathway assumptions, internal climate variability, and methodological uncertainty introduced by downscaling approaches (for example, statistical downscaling versus dynamical downscaling, bias correction choices, and parameter selections). It can also include evaluating how uncertainty varies by region, season, variable (temperature versus precipitation), and by extremes versus averages. Another frequent theme is translating technical uncertainty into forms that decision-makers can actually use, such as describing confidence ranges, identifying conditions under which downscaled products are more or less reliable, or recommending best practices for selecting and interpreting downscaled datasets in applied natural resource contexts.
Administrative identifiers for the announcement include the Funding Opportunity Number USGS 16 FA 0185 and the title "Notice of Intent - Characterizing Components of Uncertainty in Downscaled Climate Projections." The Opportunity Category is discretionary, the instrument is a grant, and the awarding agency is explicitly the Department of the Interior, Geological Survey. The short description provided is concise but clear: the funded work is intended to address uncertainty characterization in downscaled climate projections, which aligns with USGS interests in providing scientifically credible information that supports management of land, water, ecosystems, hazards, and other climate-sensitive natural resource concerns.
Frequently Asked Questions (FAQs)
What is the title of this grant opportunity?
The opportunity is titled: Notice of Intent - Characterizing Components of Uncertainty in Downscaled Climate Projections.
Which federal agency is offering this opportunity?
The awarding agency is the U.S. Geological Survey (USGS), within the Department of the Interior (DOI).
What is the main purpose of the notice?
The central aim is to improve understanding of uncertainty in downscaled climate projections by characterizing the different components that contribute to uncertainty when global climate information is translated (downscaled) to finer, locally relevant scales.
What are downscaled climate projections, in plain terms?
Downscaled climate projections are climate projections that take information from global climate models and translate it to finer spatial and/or temporal scales so the information is more useful for local or regional decision-making than raw global model output.
Why does USGS care about uncertainty in downscaled projections?
Downscaled projections are widely used in natural resource management and planning, but downscaling methods introduce assumptions and limitations. This opportunity is oriented toward clarifying where uncertainty comes from, how large different uncertainty sources are, and how those uncertainties may affect interpretation and use of the projections in applied settings.
What types of uncertainty are commonly considered in this topic area?
Uncertainty components commonly discussed for downscaled projections include differences among global climate models, assumptions about emissions or concentration pathways, internal climate variability, and methodological uncertainty introduced by downscaling approaches (for example, statistical vs. dynamical downscaling, bias correction choices, and parameter selections).
Does the notice indicate what kinds of analyses might be expected?
Based on the description, work typically involves separating and quantifying multiple uncertainty sources and examining how uncertainty varies by region, season, and variable (such as temperature vs. precipitation), including differences between extremes and averages.
Is translating uncertainty for decision-makers part of the intent?
Yes. A common theme for this type of work is translating technical uncertainty into forms that decision-makers can use, such as describing confidence ranges, identifying conditions where downscaled products are more or less reliable, or recommending best practices for selecting and interpreting downscaled datasets in natural resource contexts.
What is the funding mechanism and instrument type?
The opportunity is a discretionary funding opportunity and the instrument type is a grant.
What is the CFDA number for this program?
The CFDA number listed is 15.808, indicating it is part of a federal assistance program administered by DOI/USGS.
How much funding is available?
The maximum award amount (award ceiling) is $91,280.
How many awards does the notice expect to make?
The opportunity anticipates making a single award.
What does it mean that only one award is expected?
With only one anticipated award and a relatively modest ceiling, the notice appears to support a focused, targeted research effort rather than a large multi-institutional program.
Who is eligible to apply?
Eligibility is limited to public and state-controlled institutions of higher education (for example, state universities and public colleges applying through the institution).
Are private universities, nonprofits, local governments, or companies eligible?
Not under the eligibility statement provided. The notice lists eligibility only for public and state-controlled institutions of higher education, and does not include private universities, nonprofits, local governments, or commercial entities.
When was the opportunity created?
The opportunity was created on July 27, 2016.
What was the original closing date?
The original closing date was August 10, 2016.
What does the short application window suggest?
The short window is consistent with a notice-of-intent style posting, where applicants may be expected to respond quickly, submit a preliminary concept, or be prepared to proceed on a rapid proposal schedule.
What is the Funding Opportunity Number?
The Funding Opportunity Number is USGS 16 FA 0185.
What is the opportunity category and funding activity area?
The opportunity category is discretionary, and it sits within a natural resources funding activity category.
What is the short description of what the funded work is intended to address?
The funded work is intended to address uncertainty characterization in downscaled climate projections, aligning with USGS interests in providing scientifically credible information that supports management of land, water, ecosystems, hazards, and other climate-sensitive natural resource concerns.
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