The University of Oklahoma will provide research services under a $406,062 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041). Specifically, the university will develop an artificial intelligence and data mining decision support tool to improve flexible reservoir system modeling enabled by subseasonal-to-seasonal hydroclimatological forecasts. Researchers will leverage deep learning models to correct spatial and temporal errors in precipitation forecasts...
The University of Arizona, through a $996,526.93 Cooperative Agreement award from the Bureau of Reclamation under the Snow Water Supply Forecasting Program (CFDA 15.078), will use a 40-year snowpack dataset and newly developed regression modeling and machine learning techniques to enhance water supply forecasts across the Colorado River Basin. Specifically, the project will incorporate improved snowpack data and model optimizations into the National Resources Conservation Networks'...
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...
The University of Wyoming, doing business as Sponsored Programs, was awarded a $603,274 Cooperative Agreement from the Bureau of Reclamation under the Snow Water Supply Forecasting Program (CFDA 15.078). The project aims to improve seasonal and sub-seasonal water supply predictions in Wyoming basins by incorporating the effects of climate oscillations, such as the Pacific North American Pattern and El Niño-Southern Oscillation, into stochastic snow models. The university will employ advanced...
This Cooperative Agreement awarded by the Bureau of Reclamation under the Snow Water Supply Forecasting Program (CFDA 15.078) will develop an advanced snow estimation product using a Long Short-Term Memory (LSTM) model. The $1,270,676.70 award to Arizona State University (ASU) will leverage near-daily CubeSat data, ground observations, and LiDAR snow maps to enhance a process-based distributed hydrologic model. The project aims to improve snow estimation in forested environments to enhance water...
The Bureau of Reclamation awarded a $1,084,428 Cooperative Agreement to the Regents of the University of Colorado under the Snow Water Supply Forecasting program (CFDA 15.078) to develop a Surface Snow Water Equivalent Data Fusion System (SWE-Fusion) for the western United States. The primary objective is to provide improved surface snow water equivalent estimates to enable better decision-making during anomalous hydrologic conditions like drought and flooding. The University will combine...
This Cooperative Agreement award from the National Oceanic and Atmospheric Administration (NOAA) under the Weather and Air Quality Research Federal Grant Program (CFDA 11.459) aims to improve week 3-4 precipitation forecasts for the U.S. through the application of machine learning techniques. The $254,646 award, effective from February 1, 2025 to January 31, 2027, will fund research led by scientists at Colorado State University (CSU) to: (1) refine and extend previous methodologies to...
The U.S. Department of the Interior's Bureau of Reclamation awarded a $623,849.55 Cooperative Agreement grant to Hydroinnova LLC on February 9, 2024 under the Snow Water Supply Forecasting Program (CFDA 15.078). The 2.5-year project aims to demonstrate and deploy two novel methods for measuring snow water equivalent, a critical parameter for improving water supply forecasts in drought-prone regions of the western U.S. Specifically, Hydroinnova will develop, test, and validate a cosmic ray muon...
This Cooperative Agreement award from the Bureau of Reclamation under the SECURE Water Act - Research Agreements program (CFDA 15.560) provides $460,000 to Boise State University to develop an evaluation framework and integration guide for incorporating third-party snow water equivalent (SWE) datasets into the Colorado Basin River Forecast Center's (CBRFC) hydrologic modeling. The goal is to leverage newly available SWE data sources beyond the SNOTEL network to enhance the CBRFC's operational...
This federal Cooperative Agreement award of $499,998.72 from the U.S. Army Corps of Engineers' Basic, Applied, and Advanced Research in Science and Engineering program (CFDA 12.630) will support the University of Oklahoma in advancing the performance and accelerating the implementation of natural infrastructure solutions. The award, with a performance period from May 2025 to May 2030, will enable the university to leverage its expertise in atmospheric sciences, geophysics, and environmental...