Opportunity Information: Apply for G16AS00126
Apply for G16AS00126
- The Department of the Interior, Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Ecosystem Studies Unit, Californian CESU" 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 Aug 23, 2016.
- Applicants must submit their applications by Sep 06, 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 $30,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
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Opportunity Summary:
The Cooperative Ecosystem Studies Unit, Californian CESU grant opportunity (Funding Opportunity Number G16AS00126) is a US Geological Survey (USGS) discretionary funding solicitation issued under the Department of the Interior. It is structured as a cooperative agreement, meaning the work is expected to involve active collaboration between the award recipient and USGS rather than functioning as a hands-off grant. The program sits in the Science and Technology/Research and Development category (CFDA 15.808) and is intended for eligible CESU partners (the posting lists eligibility generally as "Others" with clarification in the full eligibility text). The opportunity was created on August 23, 2016, with an original closing date of September 6, 2016. USGS anticipated making a single award with a maximum (ceiling) amount of $30,000.
The core purpose of the project is to support emergency response intelligence (often shortened to ER Intel) by improving how situational status information is mapped and delivered for California. The recipient is expected to use the Basin Characterization Model (BCM) as the analytical backbone to produce statewide situational status maps that can inform both real-time response decisions and longer-term emergency planning. A central deliverable is a template for a California statewide web page that hosts these products and supports regular updates. The maps are intended to be updated monthly in a way that is reproducible, meaning the process can be repeated consistently over time with the same methods and data handling steps rather than being a one-off analysis.
A notable emphasis in the description is that the mapped products should be validated or at least correlated to local information, which signals a requirement to tie model outputs back to on-the-ground observations or trusted local datasets. At the same time, the products should not rely on the current conditions of the managed system, which suggests the approach should be driven by broader climatic and hydrologic indicators and modeling rather than depending on constantly changing management inputs or system-specific operational data. In practical terms, USGS appears to be looking for a framework that can produce consistent statewide intelligence layers even when local management data are incomplete, delayed, or inconsistent across jurisdictions.
In terms of content, the situational status maps are expected to cover multiple decision-relevant themes: estimates of water supply, indicators of landscape stress, and measures related to fire risk or fire danger. The project is framed as a research-and-development effort that turns BCM outputs into operationally useful mapping products. That means the work is not only about running a model, but also about translating model results into clear, interpretable statewide map layers that emergency managers and planners can routinely use.
The opportunity lists four specific objectives. First, the project must investigate how live fuel moisture relates to climatic conditions and patterns. This points to research linking vegetation moisture dynamics with climate drivers (such as precipitation, temperature, drought indices, seasonal patterns, or derived soil moisture/water balance variables) in order to better understand and predict conditions relevant to wildfire behavior and risk. Second, the recipient must develop a method for creating and delivering mapped statewide results, which is essentially the operational pipeline: data ingestion, modeling, map production, and distribution via a web-based platform in a way that can be rerun on a monthly schedule. Third, the project must create near-real-time fire danger maps, which implies an additional product line that is more time-sensitive than the monthly situational status maps, likely using the most current available climate inputs and rapid processing to provide timely fire danger intelligence. Fourth, the recipient is expected to collaborate on documentation of results, indicating the deliverables should include written materials that explain methods, assumptions, validation/correlation steps, map interpretation guidance, and possibly limitations and appropriate use cases for emergency response contexts.
Overall, this is a small, targeted cooperative agreement aimed at building a repeatable, statewide mapping capability for California that combines BCM-driven modeling with practical web delivery. The intent is to give emergency response intelligence efforts a consistent set of routinely updated situational awareness products spanning water availability, ecosystem/landscape stress, and wildfire danger, backed by research on live fuel moisture-climate relationships and supported by collaborative documentation so the outputs can be understood and used appropriately by decision-makers.
Frequently Asked Questions (FAQs)
What is the name of this funding opportunity?
This opportunity is the Cooperative Ecosystem Studies Unit (CESU), Californian CESU grant opportunity.
What is the Funding Opportunity Number?
The Funding Opportunity Number is G16AS00126.
Which federal agency is offering this opportunity?
The solicitation is issued by the U.S. Geological Survey (USGS) under the Department of the Interior.
What type of award is this (grant vs. cooperative agreement)?
It is structured as a cooperative agreement. That means the recipient should expect active collaboration with USGS during the work, rather than a hands-off grant relationship.
Is this considered research funding?
Yes. The opportunity sits in the Science and Technology / Research and Development category and is framed as a research-and-development effort that turns Basin Characterization Model (BCM) outputs into operational mapping products.
What CFDA program is this associated with?
The opportunity is listed under CFDA 15.808.
Who is eligible to apply?
The opportunity is intended for eligible CESU partners (the posting lists eligibility generally as "Others," with clarification in the full eligibility text). Based on the description provided, eligibility is tied to CESU partnership status.
When was the opportunity created and when did it close?
It was created on August 23, 2016, with an original closing date of September 6, 2016.
How many awards did USGS expect to make?
USGS anticipated making a single award.
What is the maximum funding amount?
The maximum (ceiling) amount is $30,000.
What is the main purpose of the project?
The core purpose is to support emergency response intelligence (ER Intel) by improving how situational status information is mapped and delivered for California, using the Basin Characterization Model (BCM) to produce statewide situational status maps for real-time response and longer-term emergency planning.
What geographic area is the project focused on?
The project is focused on statewide mapping for California.
What model or analytical approach is expected to be used?
The recipient is expected to use the Basin Characterization Model (BCM) as the analytical backbone for producing statewide situational status maps.
What kinds of maps or themes are expected in the situational status products?
The situational status maps are expected to cover multiple decision-relevant themes, including estimates of water supply, indicators of landscape stress, and measures related to fire risk or fire danger.
How often are the situational status maps expected to be updated?
The maps are intended to be updated monthly.
What does it mean that the monthly updates should be "reproducible"?
It means the update process should be repeatable and consistent over time, using the same methods and data-handling steps, rather than being a one-off analysis.
Is there a required web deliverable?
Yes. A central deliverable is a template for a California statewide web page that hosts the products and supports regular updates.
Do the mapped products need validation?
The description emphasizes that mapped products should be validated or at least correlated to local information, indicating that model outputs should be tied back to on-the-ground observations or trusted local datasets where possible.
Should the products depend on local management or operational system conditions?
No. The description states the products should not rely on the current conditions of the managed system, suggesting the approach should lean on broader climatic and hydrologic indicators and modeling rather than constantly changing management inputs or system-specific operational data.
Why does the opportunity emphasize not relying on managed system conditions?
As described, USGS appears to be seeking a framework that can produce consistent statewide intelligence layers even when local management data are incomplete, delayed, or inconsistent across jurisdictions.
What are the specific project objectives listed in the opportunity?
The opportunity lists four objectives: (1) investigate how live fuel moisture relates to climatic conditions and patterns, (2) develop a method for creating and delivering mapped statewide results, (3) create near-real-time fire danger maps, and (4) collaborate on documentation of results.
What does "investigate how live fuel moisture relates to climatic conditions" mean in this context?
It points to research linking vegetation moisture dynamics to climate drivers (such as precipitation, temperature, drought indices, seasonal patterns, or derived soil moisture/water balance variables) to better understand and predict wildfire-relevant conditions.
What does the "method for creating and delivering mapped statewide results" involve?
It refers to building an operational pipeline for producing and distributing maps: data ingestion, modeling, map production, and web-based delivery in a way that can be rerun on a monthly schedule.
Are near-real-time products required in addition to monthly updates?
Yes. Beyond the monthly situational status maps, the project is expected to create near-real-time fire danger maps, implying a more time-sensitive mapping product using the most current available climate inputs and rapid processing.
What documentation is expected as part of the deliverables?
The opportunity calls for collaboration on documentation of results, which implies written materials explaining methods, assumptions, validation/correlation steps, guidance for interpreting the maps, and likely limitations and appropriate use cases for emergency response contexts.
How is this work intended to be used?
The products are intended to inform both real-time emergency response decisions and longer-term emergency planning by providing consistent, statewide situational awareness layers spanning water availability, landscape stress, and wildfire danger.
Does this opportunity focus only on running the BCM model?
No. The description emphasizes translating BCM outputs into clear, interpretable statewide map layers and delivering them through a web-based platform, making the results operationally useful for emergency managers and planners.
What does "emergency response intelligence (ER Intel)" refer to here?
In this context, ER Intel refers to situational status information and mapped intelligence products that support emergency response and planning, delivered in a consistent statewide format.
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