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All Federal Grant Programs
Snow Water Supply Forecasting
Posted
8/2/23
Assistance Listing Number
15.078
Overview
Grant Opportunities
2
Grant Awards
19
Federal Agency
Bureau of Reclamation
Applicant Types
Not listed
Beneficiary Types
Not listed
Additional Information
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Popular Federal Grant Opportunities
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Popular Federal Grant Awards
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Name
Description
Awardee
Assistance Type
Dollars Obligated
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Award Date
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Updated At
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R24AC00035
The Bureau of Reclamation awarded a $1,060,448 Cooperative Agreement on December 20, 2023, under the Snow Water Supply Forecasting Program (CFDA 15.078) to The Regents of the University of Colorado. This grant aims to improve water supply forecasts by enhancing snow monitoring through the deployment of emerging technologies, such as airborne LiDAR, and better integration of snow data into forecasting models. The project has two sub-awards - one to Oregon State University to assist in developing frameworks for constructing snow datasets from multiple sources and testing water supply forecasting approaches, and another to CK Blueshift LLC to quantify the strengths and limitations of different snow monitoring technologies in improving water supply forecasts. The goal is to identify cost-effective ways to combine these technologies to meaningfully improve operational streamflow forecasts in different hydroclimatic settings across the western U.S.
The Regents Of The University Of Colorado
Cooperative Agreement
$1.1m
12/20/23
12/20/23
R24AC00032
The University of Oklahoma, through its Office of Research Administration, has been awarded a $656,589.32 Cooperative Agreement by the U.S. Department of the Interior's Bureau of Reclamation under the Snow Water Supply Forecasting Program (CFDA 15.078). The project aims to demonstrate the use of advanced explainable artificial intelligence (XAI) techniques to enhance reservoir inflow forecasting for the Upper Colorado River Basin by leveraging existing and high-resolution snow monitoring data. The University will develop a novel deep-learning model to simulate streamflow and reservoir inflows, with the XAI method quantifying the dominance of past snow observations and other hydrological variables in determining forecast uncertainty. The project will validate the AI model results against observed streamflow and the National Weather Service's operational models, in collaboration with the Colorado Basin River Forecast Center. The award period runs from January 3, 2024, to September 30, 2026.
University Of Oklahoma
Cooperative Agreement
$656.6k
1/3/24
1/3/24
R24AC00027
This Cooperative Agreement award from the Bureau of Reclamation under the Snow Water Supply Forecasting Program (CFDA 15.078) will address key knowledge gaps in understanding the impacts of wildfire on snow accumulation, ablation, and runoff generation. The $876,296.41 project, with a period of performance from January 4, 2024 to September 30, 2026, will leverage a network of automated stations and field studies initiated following the 2020 Cameron Peak and East Troublesome Fires in Colorado. Key emerging technologies such as 4-component net radiometers, snow temperature sensors, unmanned aerial vehicle-based LiDAR, and ground penetrating radar will be used to collect detailed snow observations. These field data will be integrated with satellite remote sensing methods to refine the physics-based ISNOBAL snow model and improve streamflow forecasting, particularly in headwater systems affected by wildfire. As part of this effort, Boise State University will provide snow modeling expertise and support for mentoring graduate students at Colorado State University, the primary award recipient.
Colorado State University
Cooperative Agreement
$876.3k
1/4/24
1/4/24
R24AC00036
The U.S. Bureau of Reclamation awarded a $1,999,999.00 Cooperative Agreement under the Snow Water Supply Forecasting Program (CFDA 15.078) to the Colorado River Authority of Utah. The 3-year project will provide airborne Light Detection and Ranging (LiDAR) snow surveys to evaluate the improvements in accuracy and reliability of water supply forecasts and the benefits to water management operations. This will be the first implementation of airborne snow mapping and forecast integration in Utah. The project aims to analyze the results against conventional forecasting methods to examine vulnerabilities in current practices and determine if airborne snow observation-informed forecasting can provide enhanced decision-support capabilities for water managers in the region.
Colorado River Authority Of Utah
Cooperative Agreement
$2.0m
1/16/24
1/16/24
R25AC00123
This Cooperative Agreement award from the U.S. Department of the Interior's Bureau of Reclamation, under the Snow Water Supply Forecasting program (CFDA 15.078), will fund a project to improve water supply forecasting by enhancing snow monitoring techniques. The $1,228,743.28 award to Oregon State University, which began on February 11, 2025, will support the acquisition of airborne LiDAR snow survey data in the McKenzie River Basin in Oregon and compare it to existing snow monitoring networks across 33 Western U.S. basins. The project aims to identify locations with unique snowpack dynamics not captured by current monitoring systems and evaluate how incorporating this additional snow data can enhance the accuracy of water supply forecasts. The findings will help determine the most effective ways to improve water supply forecasts through targeted snow monitoring, with a focus on three hydroclimatically distinct study regions in California, Colorado, and Oregon.
Oregon State University
Cooperative Agreement
$1.2m
2/11/25
2/11/25
Name
Description
Solicitation Number
Federal Agency
Due Date
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Snow Water Supply Forecasting Program
The United States Department of the Interior (Department), Bureau of Reclamation's (Reclamation) Snow Water Supply Forecasting Program (Program) aims to improve the skill of water supply forecasts via enhancing snow monitoring through the deployment of emerging technologies to complement existing monitoring techniques and networks. This new program was authorized in December 2020 by P.L. 116-260, Sec. 1111, Snow Water Supply Forecasting Program Authorization Act. The program was authorized for FY 2022 - FY 2026. Reservoir operations and related water management decisions rely on estimates of current and future water availability. These estimates depend on technologies to observe basin conditions such as snowpack. In many Western basins, snowpack and subsequent snow melt runoff constitutes a significant portion of the annual water supply. Accordingly, monitoring snowpack is of great interest to water managers and water users alike. Traditionally, basin snowpack information is based on a sparse network of observing stations across large watersheds. These networks provide high quality information at station locations but extrapolating that information to an entire watershed is a challenge. This challenge, in large part, motivates the Program. As such, the NOFO invites proposals from eligible applicants that are invested in and capable of demonstrating emerging or deploying existing snow monitoring technologies and/or use of snow monitoring data to enhance water supply forecast skill. Considering this and the Act's emphasis on partner agency coordination, strong applications will have partnerships with water management and forecasting entities to facilitate transfer of knowledge, foster use of data in forecasts, and evaluate utility of information for informing water management decisions. This supports Department of the Interior priority of addressing the drought crisis by providing water managers the best available information to inform the management of this scarce and critical resource. In Phase I, applicants submit technical proposals in the required format and length as specified in Section D.2.1. Application Format and Length as well as with the required content further detailed in Section D.2.2. Application Content. Submission to Phase I is required for Phase II consideration. Reclamation's application review committee (ARC) will select a set of highly qualified applications from Phase I to move to Phase II of the application process. Submission to Phase I is required for Phase II consideration. If the selected applicants are not present for Phase II, their proposals are automatically disqualified from proceeding further and will be ineligible for an award. Phase II will entail a 30-minute virtual (web meeting) project/proposal "pitch" presentation to a review panel, followed by 20 minutes of question and answer with the review panel. Those selected to advance to Phase II will be notified of the presentation requirements and logistics with a minimum 4 week's notice.
R23AS00079
Department of the Interior Bureau of Reclamation
5/12/23
3/13/23
Snow Water Supply Forecasting Program FY 2024
The United States Department of the Interior (DOI), through the Bureau of Reclamation, is seeking applicants for its Snow Water Supply Forecasting Program (SNOFO) in fiscal year 2024. The program aims to improve water supply forecasts by enhancing snow monitoring through the deployment of emerging technologies and better integrating snow data into forecasting models. Eligible applicants include state, local, and tribal governments, higher education institutions, nonprofits, and private entities. Proposals will be evaluated on technical merit, cost-share contribution, project benefits, data transfer plans, and alignment with program objectives. The two-phase application process requires an initial technical proposal due on May 10, 2024, followed by virtual pitch presentations for selected applicants. The DOI plans to award a minimum of $3 million in funding, with individual grants ranging from $300,000 to $999,999 over a 36-month project period. Successful applicants must partner with water management and forecasting entities to facilitate knowledge transfer, incorporate data into forecasts, and evaluate the utility of information for informing water management decisions. Awards will support activities to deploy emerging or existing snow monitoring technologies, particularly in areas with poor existing coverage, in order to provide water managers with the best available information to address drought conditions in the western United States.
R24AS00206
Department of the Interior Bureau of Reclamation
5/10/24
3/5/24