Closed · L17AS00155 · CFDA 15.232 · Discretionary

BLM CA Experimental Mesoscale Forecast Products for Fire Weather, Smoke Dispersion, Transport, Fire Danger, Fire Behavior

Federal grant opportunity posted by Bureau of Land Management, cataloged on Grants.gov.

$500-$500K
Award range
Closed
Status
August 11, 2017
Close date
1
Expected awards

The verdict

BLM CA Experimental Mesoscale Forecast Products for Fire Weather, Smoke Dispersion, Transport, Fire Danger, Fire Behavior is a closed discretionary listing from Bureau of Land Management that offered $500 -- $500,000 across 1 expected award. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 3,020 other opportunities from Bureau of Land Management.

$500-$500K
award range
Closed
application status
1
expected award
15.232
CFDA program

Archived opportunity record

BLM CA Experimental Mesoscale Forecast Produc… is closed (last close August 11, 2017). Check the agency catalog for replacement NOFOs. Bureau of Land Management still indexes 3,020 other opportunities here.

According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.

Deadline tracker

Application window closed

Closed August 11, 2017

Posted Jun 13 Closes Aug 11

Est. Total Funding

$500,000

Expected Awards

1

Instrument

Cooperative Agreement

Description

Perform research and studies pertaining to wildland fire and resource management, to develop products and tools for all levels of decision making to meet the objectives of the National Fire Plan, and to seek information to improve decision making in wildland fire management. Specifically, meteorological forecasts using Penn State/National Center for Atmospheric Research (NCAR) mesoscale Model 5 (http://cansac.dri.edu/coffframe.php?page=MM5setup.php), the Weather Research and Forecasting (WRF) Model (http://cansac.dri.edu/coffframe.php?page=WRFsetup.php) and other advanced experimental models. As additional funds are added to the agreement model development may be pursued.

Catch-all / unrestricted eligibility mark · L17AS00155

Grants.gov marks BLM CA Experimental Mesoscale Forecast Produc… with a catch-all / unrestricted eligibility code (Unrestricted / see official listing). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Cooperative Agreement. Funding-activity code maps to Natural Resources (NR). This eligibility-code string dominates the Bureau of Land Management book (1,420 peers, 47% of 3,021).

Code 99
Unrestricted / see official listing

Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

GMS Karen Law (916) 978-4322 kjlaw@blm.gov

What to do next

BLM CA Experimental Mesoscale Forecast Produc… is closed; use the parent program and agency catalog for the next funding cycle.

  • Browse open federal opportunities in the same category when this listing is closed. Open opportunities
  • Look up CFDA 15.232 across all indexed listings before you commit to this opportunity alone. Eligibility finder
  • Compare award ranges across federal categories before you pick a single CFDA. All categories

Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants