Project Grant 2611710
- Federal Project Grant Award Summary The University of Utah received a $797,237 Project Grant from the National Science Foundation's Division of Atmospheric and Geospace Sciences (Geosciences Program, CFDA 47.050) effective July 1, 2025, through June 30, 2028, to advance scientific understanding of the Quasi-Biennial Oscillation (QBO), a prominent 28-month cycle in tropical stratospheric winds. The research will employ idealized stratospheric modeling to address longstanding model biases,...
- Federal Project Grant Award Summary The University of Utah received a $558,188 Project Grant awarded on January 15, 2026, through the National Science Foundation's Office of Integrative Activities under the Geosciences program (CFDA 47.050). This collaborative research initiative, extending through December 31, 2028, delivers scientific research products and computational tools aimed at understanding the dynamical behavior of dense granular media relevant to natural hazards such as avalanches,...
- The National Science Foundation's Division of Atmospheric and Geospace Sciences awarded the University of Utah $699,464 under the Geosciences program (CFDA 47.050) for a three-year Project Grant beginning July 1, 2026 and concluding June 30, 2029. The award funds research to measure how air motions affect snowflake orientation and settling behavior using advanced instrumentation at a field site in Alta, Utah, including a Multi-Angle Snowflake Camera (MASC) and Differential Emissivity Imaging...
- Federal Project Grant Award Summary The University of Utah received a $499,746 Project Grant from the National Science Foundation's Division of Atmospheric and Geospace Sciences (Geosciences program, CFDA 47.050) effective September 1, 2025, through August 31, 2027. This award supports the continued development and testing of the Differential Emissivity Imaging Disdrometer (DEID), an innovative instrument designed to measure individual precipitation particles and quantify their physical...
- Federal Grant Award Summary Utah State University received a $749,989 Project Grant from the National Science Foundation (NSF) Office of Integrative Activities under the Geosciences program (CFDA 47.050), awarded January 1, 2026, with completion targeted for December 31, 2028. The project will develop synthetic data generation methodologies and machine learning frameworks to address critical limitations in Solar Energetic Particle (SEP) event forecasting. Primary deliverables include: (1) a...
- Federal Grant Award Summary Utah State University received a $424,932 Project Grant from the National Science Foundation's Division of Atmospheric and Geospace Sciences (CFDA 47.050) for the period July 1, 2026 through June 30, 2029. The project, titled "CEDAR: Investigating the Mesosphere and Lower Thermosphere Neutral Temperature and Winds Responses to Geomagnetic Storms Equatorward of the Auroral Zone," delivers comprehensive research into atmospheric dynamics during space weather...
- Federal Project Grant Award Summary The University of Washington received a $337,147 Project Grant award dated August 15, 2025, from the National Science Foundation's Division of Atmospheric and Geospace Sciences under the Geosciences program (CFDA 47.050) to conduct research on atmospheric predictability using machine learning (ML) frameworks. The primary deliverable is fundamental research that tests the conventional two-week limit of weather forecast skill by employing deep learning tools...
- The National Science Foundation Division of Atmospheric and Geospace Sciences awarded a $666,969 Project Grant to the University of Utah Office of Sponsored Projects under the Geosciences program (CFDA 47.050). The grant will fund research from January 1, 2023 to December 31, 2025 to advance understanding of orographic precipitation processes in continental multi-ridge mountain environments like Utah's Wasatch Range. Specifically, the project aims to investigate snowfall enhancement over...
- This $202,000 Project Grant was awarded on September 1, 2025, by the National Science Foundation's Division of Atmospheric and Geospace Sciences under the Geosciences program (CFDA 47.050). The award funds postdoctoral research through August 31, 2027, focused on bridging idealized atmospheric modeling with observational data to improve understanding of forest-atmosphere interactions over complex terrain. The primary deliverables include approximately 30 Large Eddy Simulation (LES) runs...
- Federal Grant Award Summary The University of Utah received a $347,592 Project Grant from the National Science Foundation (NSF) Division of Earth Sciences under the Geosciences program (CFDA 47.050), effective September 1, 2025, through August 31, 2028. This collaborative research project delivers scientific knowledge and analytical products focused on quantifying groundwater's role in modulating streamflow response to hydrologic extremes in mountainous regions. Primary deliverables include...
The University of Utah's Office of Sponsored Projects received a $692,890 Project Grant from the National Science Foundation (NSF) Division of Atmospheric and Geospace Sciences under the Geosciences program (CFDA 47.050), awarded August 15, 2026, with completion targeted for July 31, 2029. This research initiative will develop advanced data assimilation techniques to improve numerical weather modeling and forecasting in mountainous terrain, where complex topography creates challenging small-scale wind flows and temperature variations. The project delivers physics-aware assimilation strategies tailored to stratified, terrain-driven boundary layers using the NSF NCAR Data Assimilation Research Testbed (DART) coupled with the Advanced Research Weather Research and Forecasting (WRF) model, employing ensemble-based methods including the Ensemble Adjustment Kalman Filter (EAKF) and Quantile-Conserving Ensemble Filter Framework (QCEFF). The research outputs will enhance forecasting capabilities for aviation safety, wildfire management, air-quality forecasting, and ground transportation in mountainous regions. The project incorporates workforce development at the intersection of boundary-layer meteorology and data assimilation, while leveraging particle-filter concepts and emerging artificial intelligence methods to assess limitations of Gaussian data assimilation formulations in complex atmospheric conditions. Deliverables include systematic comparisons of Gaussian and weakly non-Gaussian assimilation formulations and diagnostic tools to advance the scientific understanding of error propagation and information flow in terrain-influenced modeling systems.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $692.9k | 6/25/26 |