Project Grant 2527442
- This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will quantify how groundwater modulates streamflow response to hydrologic extremes in mountainous regions, which are the primary water source for much of the western United States. The $347,592 project, awarded to the University of Utah from September 1, 2025 to August 31, 2028, will integrate high-resolution stream and groundwater observations with hydrologic models to improve understanding of...
- This Project Grant award for $172,951 from the National Science Foundation's Geosciences Program (CFDA 47.050) supports a collaborative research effort to quantify how groundwater modulates streamflow response to hydrologic extremes in mountainous regions of the Western United States. The project will integrate high-resolution stream and groundwater observations with hydrologic models to improve understanding of how stored groundwater impacts mountain streamflow generation and enhance streamflow...
- 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 Project Grant award of $339,522 from the National Science Foundation's Geosciences Program (CFDA 47.050) supports collaborative research to model reactive, density-driven groundwater flow and improve contaminant remediation methods. The goal is to develop more efficient, cost-effective, and ecologically friendly approaches for remediating polluted groundwater by leveraging natural fluid movement induced by density variations. The research will use laboratory experiments, mathematical...
- This five-year, $289,251 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 grantee, Southern Methodist University, will fuse hydrologic modeling with GPS, satellite imagery, and GRACE data to more accurately simulate surface and subsurface flows. Through data assimilation, the project will produce historical and forecast...
- This five-year, $248,355 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 research team at Bowling Green State University, serving as primary awardee, will fuse hydrologic modeling with GPS, satellite imagery, and GRACE data to more accurately simulate surface and subsurface water flows. Through data assimilation, the project...
- This five-year, $800,071 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) supports the development of an integrated hydrologic model to better understand groundwater dynamics in the Great Lakes Basin. The awardee, Michigan Technological University, will fuse hydrologic modeling with GPS, satellite imagery, and GRACE data to more accurately simulate surface and subsurface flows. Through data assimilation, the project will produce historical and forecast...
- 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 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 five-year, $957,349 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. Michigan State University, as prime awardee, will fuse hydrologic modeling with GPS, satellite imagery, and GRACE data to more accurately simulate surface and subsurface flows. This represents the first integration of geodesy measurements, remote sensing of...
This $178,404 federal Project Grant award from the National Science Foundation's Geosciences program (CFDA 47.050) aims to determine the role of groundwater in regulating streamflow response to hydrologic extremes across a gradient of groundwater storage. The project will integrate high-resolution field observations of stream discharge, source, and age with a process-based hydrologic model to simulate groundwater-surface water interactions under various future hydrologic conditions. Study sites will include two mountain watersheds with high and low groundwater storage. The research outcomes are expected to improve understanding of how stored groundwater impacts mountain streamflow generation, thereby enhancing streamflow predictions. The award also includes broader impact activities such as an early-career workshop on data-model integration and integrating field infrastructure and models into undergraduate coursework at three institutions. The project period runs from September 1, 2025 to August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $178.4k | 7/31/25 |