Opportunity Information: Apply for EPA G2019 STAR C1
The U.S. Environmental Protection Agency (EPA) released a discretionary research funding opportunity under its Science to Achieve Results (STAR) program titled "Chemical Mechanisms to Address New Challenges in Air Quality Modeling" (Funding Opportunity Number: EPA G2019 STAR C1). The focus is on strengthening the parts of air quality models that simulate atmospheric chemistry, specifically the "chemical mechanism," meaning the set of chemical reactions and related parameters that models use to represent how pollutants form, transform, and are removed in the atmosphere. The broader goal is to improve the scientific foundation and performance of air quality modeling used to understand and manage major air quality issues, including ozone, particulate matter (PM), regional haze, air toxics, and newer or emerging pollutants that may not be well captured by older modeling approaches.
This opportunity is aimed at research that can modernize or refine chemical mechanisms so models can better reflect real-world atmospheric processes across a range of conditions. In practical terms, EPA is looking for studies that can improve how models represent key chemical reaction pathways, address gaps in current mechanisms, and respond to new challenges posed by changing emissions, evolving industrial and consumer chemical use, and the increasing need to evaluate complex mixtures of pollutants. Better chemical mechanisms can translate into better predictions of pollutant concentrations, improved understanding of how different sources contribute to air pollution, and more reliable tools for evaluating potential control strategies and regulatory decisions.
Funding is offered through cooperative agreements and grants, with an award ceiling of $800,000 per project and an expectation of up to 5 awards. The program is categorized under the Environment funding activity area and is listed under CFDA number 66.509. Eligibility is described broadly as "Others," with applicants directed to consult the announcement's eligibility section (notably the "Additional Information on Eligibility" text and Section IV for submission and eligibility details). The opportunity was created on May 8, 2019, and originally closed on June 24, 2019, with applicants instructed to review Section IV of the full announcement for submission requirements and process-specific instructions.
Overall, the grant is designed to push forward the chemistry core of air quality modeling so that regulatory and scientific communities have more accurate, up-to-date tools for assessing ozone, PM, haze, toxic pollutants, and emerging contaminants, especially in a landscape where atmospheric composition and emissions profiles continue to change.Apply for EPA G2019 STAR C1
- The Environmental Protection Agency in the environment sector is offering a public funding opportunity titled "Chemical Mechanisms to Address New Challenges in Air Quality Modeling" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 66.509.
- This funding opportunity was created on May 08, 2019.
- Applicants must submit their applications by Jun 24, 2019 Please see Section IV of the announcement for additional submission information. (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 $800,000.00 in funding.
- The number of recipients for this funding is limited to 5 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
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Frequently Asked Questions (FAQs)
What is the name of this EPA funding opportunity?
The opportunity is titled "Chemical Mechanisms to Address New Challenges in Air Quality Modeling" under the U.S. Environmental Protection Agency (EPA) Science to Achieve Results (STAR) program.
What is the Funding Opportunity Number (FON)?
The Funding Opportunity Number is EPA G2019 STAR C1.
What is the main purpose of this grant opportunity?
The purpose is to strengthen the atmospheric chemistry components of air quality models by modernizing or refining the "chemical mechanism" used in those models. The broader goal is to improve the scientific foundation and performance of air quality modeling used to understand and manage major air quality issues.
What does "chemical mechanism" mean in the context of air quality modeling?
In this context, a chemical mechanism is the set of chemical reactions and related parameters that air quality models use to represent how pollutants form, transform, and are removed in the atmosphere.
What kinds of air quality problems is this research intended to support?
The opportunity is intended to support modeling improvements relevant to ozone, particulate matter (PM), regional haze, air toxics, and newer or emerging pollutants that may not be well represented by older modeling approaches.
Why is EPA emphasizing updates to chemical mechanisms now?
The opportunity description points to new challenges such as changing emissions, evolving industrial and consumer chemical use, and an increasing need to evaluate complex mixtures of pollutants. These changes can expose gaps in older modeling approaches, making mechanism modernization important for maintaining model realism and usefulness.
What types of research does EPA appear to be seeking under this opportunity?
Based on the description, EPA is seeking research that can modernize or refine chemical mechanisms so models better reflect real-world atmospheric processes across a range of conditions. This includes improving representation of key chemical reaction pathways, addressing gaps in current mechanisms, and responding to new or emerging modeling challenges.
How could improved chemical mechanisms affect air quality modeling outcomes?
Improved chemical mechanisms can translate into better predictions of pollutant concentrations, improved understanding of how different sources contribute to air pollution, and more reliable tools for evaluating potential control strategies and regulatory decisions.
What funding instrument(s) does EPA plan to use for awards?
Funding is offered through cooperative agreements and grants.
What is the maximum funding amount per project?
The award ceiling is $800,000 per project.
How many awards does EPA expect to make?
EPA expects to make up to 5 awards.
What is the funding activity area for this opportunity?
The program is categorized under the Environment funding activity area.
What is the CFDA number associated with this opportunity?
The opportunity is listed under CFDA number 66.509.
Who is eligible to apply?
Eligibility is described broadly as "Others." Applicants are directed to consult the eligibility section of the full announcement, including the "Additional Information on Eligibility" text and Section IV for submission and eligibility details.
Where should applicants look for official submission and eligibility instructions?
Applicants are instructed to review Section IV of the full announcement for submission requirements, process-specific instructions, and eligibility details.
When was this funding opportunity created?
The opportunity was created on May 8, 2019.
What was the original application closing date?
The opportunity originally closed on June 24, 2019.
Is this opportunity focused on regulatory applications, scientific research, or both?
It is a research funding opportunity, but it is explicitly framed around improving air quality modeling tools used by regulatory and scientific communities for assessing pollutants and evaluating control strategies and decisions.
What makes this opportunity different from general air quality research funding?
This opportunity is specifically focused on the chemistry core of air quality models, emphasizing improvements to the chemical mechanism rather than broader model components. The intent is to address gaps and new challenges in representing atmospheric chemical processes.
Does the description indicate whether the work should address emerging pollutants?
Yes. The description notes interest in newer or emerging pollutants that may not be well captured by older modeling approaches.
Does the description indicate why complex pollutant mixtures matter for this opportunity?
Yes. The opportunity highlights an increasing need to evaluate complex mixtures of pollutants, implying that mechanism improvements may be needed to better represent interactions and transformations within evolving atmospheric compositions.
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