Opportunity Information: Apply for FA FON0016 0004
The JFSP Fire and Smoke Model Evaluation Experiment (FASMEE) funding opportunity (Funding Opportunity Number: FA FON0016 0004) is a discretionary research and development grant competition administered by the Bureau of Land Management under CFDA 15.232. Its central purpose is to generate and deliver high-quality observational datasets that can be used to test, validate, and improve the fire behavior and smoke modeling systems that are already used in operational decision-making. In practical terms, the program is aimed at closing the gap between model predictions and real-world fire and smoke outcomes by collecting measurements that capture how fires evolve, how heat and energy are released, how plumes develop and transport smoke, and how atmospheric conditions interact with fire. The emphasis on "operationally used" systems signals that the results are expected to feed directly into tools that support wildfire response, prescribed fire planning, air quality management, and public safety decisions, rather than remaining purely academic.
FASMEE is structured around five task statements, which indicates the agency intended to fund multiple, distinct but related pieces of work that collectively support the experiment and its goals. While the specific text of the five tasks is not included in the provided listing, the framing implies a coordinated effort in which different awardees may contribute complementary capabilities such as field measurement and instrumentation, experimental design and execution, data management and quality assurance, and model evaluation workflows. The overall deliverable is not simply a report; it is observational evidence robust enough to challenge models, diagnose their weaknesses, and guide improvements in the scientific assumptions and parameterizations that drive those models. That typically requires carefully designed measurement campaigns that capture fire-atmosphere coupling, plume rise dynamics, smoke dispersion and chemistry-relevant variables, and the meteorological context at the right spatial and temporal scales.
Administratively, the opportunity is categorized under "Science and Technology and other Research and Development" and uses a funding instrument type listed as "Other," which can indicate flexible award mechanisms compared with standard grants or cooperative agreements. The eligible applicant pool is listed as unrestricted, meaning there were no applicant-type limitations in the notice as summarized here (for example, it was not restricted only to universities, non-profits, or state agencies). The expected number of awards is five, aligning with the "5 Task Statements" title and reinforcing the idea of multiple coordinated awards supporting different components of the broader experiment. The posting was created on 2015-09-11, with an original closing date of 2015-11-13, setting a relatively standard proposal window for applicants to assemble technical approaches, partnerships, and budgets.
The award ceiling is shown as 0, which generally indicates that a specific maximum dollar amount was not provided in the summary fields or that the ceiling was to be determined by task needs, available appropriations, or negotiations. In many federal opportunities, especially those supporting complex field experiments, final award sizes can vary significantly by task because instrumentation, aircraft time, field crews, sensor networks, data processing, and model evaluation labor can differ widely in cost. The key point is that the program is centered on producing rigorous observational datasets and analysis products that can be used by the broader fire science and operational modeling communities to evaluate current model performance and to accelerate improvements in fire behavior prediction and smoke impact forecasting.Apply for FA FON0016 0004
- The Bureau of Land Management in the science and technology and other research and development sector is offering a public funding opportunity titled "JFSP Fire and Smoke Model Evaluation Experiment (FASMEE) (5 Task Statements)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.232.
- This funding opportunity was created on 2015-09-11.
- Applicants must submit their applications by 2015-11-13. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The number of recipients for this funding is limited to 5 candidate(s).
- Eligible applicants include: Unrestricted.
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FASMEE (JFSP Fire and Smoke Model Evaluation Experiment) Grant Opportunity FAQs
What is the FASMEE funding opportunity?
FASMEE stands for the JFSP Fire and Smoke Model Evaluation Experiment. This opportunity is a discretionary research and development grant competition administered by the Bureau of Land Management (BLM) under CFDA 15.232. It focuses on generating and delivering high-quality observational datasets to test, validate, and improve fire behavior and smoke modeling systems that are already used in operational decision-making.
What is the Funding Opportunity Number for this program?
The Funding Opportunity Number listed for this opportunity is FA FON0016 0004.
What is the main purpose of this grant?
The central purpose is to close the gap between model predictions and real-world fire and smoke outcomes by collecting measurements that capture how fires evolve, how heat and energy are released, how plumes develop and move smoke, and how atmospheric conditions interact with fire. The end goal is to produce observational evidence that can directly improve operational fire and smoke models.
What kinds of models or systems is FASMEE trying to improve?
FASMEE targets fire behavior and smoke modeling systems that are already used operationally. That emphasis suggests the results are meant to feed into tools that support wildfire response, prescribed fire planning, air quality management, and public safety decisions.
What types of deliverables are expected from funded projects?
The core deliverable is not just a narrative report. The opportunity emphasizes producing rigorous, high-quality observational datasets and related analysis products that can be used to challenge models, diagnose weaknesses, and guide improvements to scientific assumptions and parameterizations behind operational modeling systems.
What is meant by “observational datasets” in the context of this program?
Based on the description provided, observational datasets refer to measurements collected during carefully designed campaigns that may capture fire-atmosphere interactions, heat and energy release, plume rise and development, smoke transport, and the meteorological context at appropriate spatial and temporal scales for evaluating model performance.
How is FASMEE organized?
FASMEE is structured around five task statements. While the specific text of those tasks is not included in the provided listing, the framing suggests multiple distinct but coordinated components of work that collectively support the broader experiment and its goals.
Does the program expect multiple awards?
Yes. The expected number of awards is five, which aligns with the “5 Task Statements” framing and suggests multiple coordinated awards supporting different parts of the overall effort.
What kinds of work might each task involve?
The provided description implies that different awardees may contribute complementary capabilities such as field measurement and instrumentation, experimental design and execution, data management and quality assurance, and model evaluation workflows. The overall intent is a coordinated effort that supports model evaluation and improvement using real-world measurements.
What category does the opportunity fall under?
Administratively, the opportunity is categorized under “Science and Technology and other Research and Development.”
What is the funding instrument type?
The funding instrument type is listed as “Other,” which can indicate a more flexible award mechanism compared with standard grants or cooperative agreements, based on how the agency structured this particular competition.
Who is eligible to apply?
The eligible applicant pool is listed as unrestricted. In the summary provided, there were no applicant-type limitations specified (for example, it was not limited only to universities, non-profits, or state agencies).
Which agency administers this competition?
This discretionary research and development grant competition is administered by the Bureau of Land Management (BLM).
What is the CFDA number for this opportunity?
The opportunity is listed under CFDA 15.232.
When was the opportunity posted?
The posting was created on 2015-09-11.
What was the original closing date?
The original closing date listed is 2015-11-13.
How long was the proposal window based on the dates provided?
Based on the posting creation date (2015-09-11) and the original closing date (2015-11-13), applicants had roughly a standard proposal window to assemble technical approaches, partnerships, and budgets.
Is there an award ceiling (maximum award amount)?
The award ceiling is shown as 0. This typically indicates that a specific maximum dollar amount was not provided in the summary fields or that the ceiling would be determined based on task needs, available appropriations, or negotiation.
Does an award ceiling of 0 mean no funding is available?
No. In this type of summary listing, an award ceiling of 0 generally signals that a precise maximum was not specified in the provided summary fields, not that funding is unavailable.
Why might award sizes vary across the five awards?
For complex field experiments, costs can differ substantially depending on the task. The description notes that instrumentation, aircraft time, field crews, sensor networks, data processing, and model evaluation labor can vary widely, which can drive different budget needs across tasks.
What practical outcomes is FASMEE aiming to support?
The program is designed to improve operational tools used for wildfire response, prescribed fire planning, air quality management, and public safety decision-making by providing real-world observational evidence to evaluate and improve current model performance.
Is this opportunity focused on academic research only?
No. The description emphasizes “operationally used” systems and practical decision support, indicating the expected results should feed directly into operational tools rather than remaining purely academic.
What is the overall “big picture” goal of the experiment?
The overarching goal is to accelerate improvements in fire behavior prediction and smoke impact forecasting by producing robust observational datasets and analysis products that can be used by the broader fire science and operational modeling communities to evaluate and improve current models.
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