Cooperative Agreement G21AC10751

This $180,267 federal Project Grant award from the National Science Foundation (NSF) Geosciences Program (CFDA 47.050) aims to investigate the impact of climate change on karst groundwater resources using advanced deep-learning techniques. The research, led by Sam Houston State University, will develop innovative deep-learning models to analyze comprehensive data from U.S. karst aquifers and integrate climate projection data to forecast the future status of these critical groundwater resources...

This $649,817 project grant, awarded by the Environmental Protection Agency (EPA) under the Geographic Programs - South Florida Geographic Initiatives Program (CFDA 66.484), will fund a study by Florida Gulf Coast University (FGCU) to address the impacts of climate change on groundwater resources and promote resilience in South Florida. The key activities under this 3-year award include: quantifying the impacts of climate change and groundwater management strategies on water resources;...

This two-year, $180,000 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund research and professional development activities to evaluate spatiotemporal dependence in groundwater-dependent ecosystem processes. Dr. Matthew Lurtz will quantify water uptake by groundwater dependent ecosystems (GDEs) in different climatic regions using site instrumentation, remote sensing methods, and numerical groundwater modeling. This will enhance understanding of GDE...

This Project Grant award, funded by the U.S. Department of the Interior's Bureau of Reclamation under the Applied Science Grants program (CFDA 15.557), provides $533,315 to Texas A&M University-Corpus Christi to develop a reservoir storage forecasting system for the Nueces River Basin in Texas. The project aims to integrate hydrologic modeling, satellite remote sensing, weather forecasting, and climate change projections to create probabilistic forecasts of reservoir storage levels over...

This Project Grant award of $199,316.00 from the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) aims to advance the understanding of how extreme weather events, such as heavy rainfall and flooding, may change in response to future climate scenarios. The project, titled "EMBRACE-AGS-SEED: Harnessing the Power of Machine Learning to Generate Ensembles of Regional Climate Projections," will evaluate whether artificial intelligence and machine learning can provide...

The Department of the Interior Bureau of Reclamation awarded $215,000 under the Applied Science Grants program to develop an interactive web-based tool for efficient wildfire hydrologic simulation. Texas A&M University at Kingsville will partner with various state and federal entities to integrate remotely sensed data into a hydrologic model and equip watershed managers with a user-friendly workflow to quickly post-process variables associated with fire and drought. This will allow for...

The University of Colorado received a $888,273 Cooperative Agreement award from the U.S. Geological Survey under the National and Regional Climate Adaptation Science Centers (CFDA 15.820) program. The project will develop and deliver detailed quantitative projections of 21st century water balance, water availability, and ecological drought metrics across the contiguous United States. This will be accomplished through ecosystem water balance modeling with a daily time step and multiple soil...

This $117,414 five-year project grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund the development of an integrated hydrologic model to better understand groundwater dynamics in the Great Lakes Basin. The University of Arizona, on behalf of the State of Arizona, will fuse hydrologic modeling with GPS, satellite imagery, and Gravity Recovery and Climate Experiment (GRACE) data to more accurately simulate surface and subsurface flows. Through data...

This Cooperative Agreement awarded by the U.S. Geological Survey (USGS) under the National and Regional Climate Adaptation Science Centers (CFDA 15.820) program will provide $475,793 to the University of Hawaii to develop new machine learning methods for downscaling global climate model outputs to generate high-resolution (1 km) daily and sub-daily precipitation projections for the Hawaiian Islands. The project aims to improve modeling of future flood risk to support climate adaptation...

This National Science Foundation project grant under the Biological Sciences program (CFDA 47.074) provides $515,158 to The University of Texas at San Antonio from October 2022 to September 2025. The award will support research to develop next-generation species distribution models that integrate organism-level bioenergetic budgets with community-level predator-prey interactions. Researchers will conduct laboratory experiments and field studies on fish populations in Southern Appalachian streams...