Opportunity ID: 328715

General Information

Document Type: Grants Notice
Funding Opportunity Number: G20AS00139
Funding Opportunity Title: Cooperative Ecosystem Studies Unit, Great Lakes Northern Forests CESU
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Cooperative Agreement
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards: 1
Assistance Listings: 15.808 — U.S. Geological Survey Research and Data Collection
Cost Sharing or Matching Requirement: No
Version: Synopsis 1
Posted Date: Aug 17, 2020
Last Updated Date: Aug 17, 2020
Original Closing Date for Applications: Sep 07, 2020
Current Closing Date for Applications: Sep 07, 2020
Archive Date: Nov 17, 2020
Estimated Total Program Funding: $110,000
Award Ceiling: $110,000
Award Floor: $0

Eligibility

Eligible Applicants: Others (see text field entitled “Additional Information on Eligibility” for clarification)
Additional Information on Eligibility: This financial assistance opportunity is being issued under a
Cooperative Ecosystem Studies Unit (CESU) Program. CESU¿s are
partnerships that provide research, technical assistance, and
education. Eligible recipients must be a participating partner of the
Great Lakes Cooperative Ecosystem Studies Unit (CESU) Program.

Additional Information

Agency Name: Geological Survey
Description: The USGS is offering a funding opportunity to a CESU
partner for research in stream and reservoir temperature
modeling. Water temperature is a ¿master variable¿ for
many important aquatic outcomes, including the
suitability of habitat, evaporation rates, greenhouse gas
exchange, and efficiency of thermoelectric energy
production. Stream temperature is one of the most widely
measured water characteristics by the USGS, though
monitoring gaps in time and space requires modeling
efforts to understand broad-scale temperature dynamics
and supply decision-ready data to our stakeholders.
Currently, stream and lake temperature are modeled
separately, despite our knowledge that water flowing into
a reservoir affects its temperature, and that reservoirs
greatly impact the temperature of downstream river
reaches. Further, in some places, water managers can
affect downstream temperatures via reservoir releases,
and understanding when to release, how much to release,
and the expected water temperature changes from the
release can support better decision making. The USGS and
collaborators are developing process-guided machine
learning models for streams and lakes that leverage the
benefits of both process and machine learning models; the
models are grounded in physical realism and perform well
in data sparse and data rich conditions (e.g., Read et
al., 2019). However, we have yet to model a stream
network that reflects both lake and stream temperature
dynamics.
Link to Additional Information: https://www.grants.gov/
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

Faith Graves 703-648-7356
fgraves@usgs.gov
Email:fgraves@usgs.gov

Version History

Version Modification Description Updated Date

Folder 328715 Full Announcement-FUNDING OPPORTUNITY -> FUNDING OPPORTUNITY.pdf

Packages

Agency Contact Information: Faith Graves 703-648-7356
fgraves@usgs.gov
Email: fgraves@usgs.gov
Who Can Apply: Organization Applicants

Assistance Listing Number Competition ID Competition Title Opportunity Package ID Opening Date Closing Date Actions
15.808 G20AS00139 Cooperative Ecosystem Studies Unit, Great Lakes Northern Forests CESU PKG00263032 Aug 17, 2020 Sep 07, 2020 View

Package 1

Mandatory forms

328715 SF424_3_0-3.0.pdf

328715 ProjectNarrativeAttachments_1_2-1.2.pdf

328715 SF424A-1.0.pdf

328715 SF424B-1.1.pdf

2025-07-10T14:20:58-05:00

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