Project Grant 2209699
- This National Science Foundation (NSF) Geosciences program Project Grant award of $381,865 to Colorado State University aims to understand how the predictability of severe weather events, such as tornadoes, hail, and flooding, may change as the climate warms. The research will generate and analyze large datasets of numerical weather model forecasts to assess how the ability to predict severe storms evolves in recent (20th century) versus future (21st century) climate scenarios. This work could...
- This $350,000 federal Project Grant award, funded by the National Science Foundation's Geosciences Program (CFDA 47.050), supports a collaborative research project to unravel the long-range predictability and environmental dependency of high-impact cyclones using artificial intelligence (AI) tools. The project, awarded to the University of Washington starting January 1, 2026, aims to advance fundamental understanding of cyclone behavior, identify atmospheric precursors that influence...
- This Project Grant award from the National Science Foundation's Geosciences program (CFDA 47.050) will support research by Texas Tech University to investigate the predictability of severe weather events, such as tornadoes, hail, and flooding, under current and future climate conditions. The $380,904 award, effective from September 1, 2023 to August 31, 2026, will involve creating and analyzing large datasets of numerical weather model forecasts to understand how and why the predictability of...
- This $1.1 million project grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund research at Pennsylvania State University from April 2022 through March 2025 to improve understanding of supercell thunderstorms and tornado formation. The research team will analyze well-observed tornadic storms using innovative observation and simulation techniques to address fundamental questions about tornado rotation, the role of surface friction and baroclinically-generated...
- This Project Grant award of $529,722.00 from the National Science Foundation's Geosciences Program (CFDA 47.050) will support research to develop advanced artificial intelligence models to predict the formation and evolution of thunderstorms. The project aims to create a prognostic, diagnostic, and generative deep learning nowcasting tool for convection initiation that can quantify the predictability and uncertainty of these predictions. The research will also seek to discover the physical and...
- This $127,918 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports a collaborative research effort to study the impacts of climate change on warm-season extreme events in North America. The research aims to improve understanding of the large-scale drivers and local feedbacks affecting the severity and frequency of extreme events such as flooding, heat waves, fires, and droughts. The award to North Carolina State University will fund climate...
- This federal Project Grant award of $443,674 from the National Science Foundation's Geosciences Program (CFDA 47.050) will support research to develop advanced artificial intelligence (AI) models for predicting the initiation and evolution of thunderstorms. The project aims to enable significant breakthroughs in understanding convection initiation dynamics and improving the predictability of hazardous weather events like heavy rainfall, strong winds, hail, and tornadoes. Key objectives...
- The University of Washington was awarded a three-year, $689,979 project grant from the National Science Foundation Division of Atmospheric and Geospace Sciences under the Geosciences program (CFDA 47.050). The grant will fund research to enhance understanding of mesoscale climate responses through use of a regional climate model ensemble. Specifically, the University will leverage a suite of regional climate models to simulate mesoscale climate processes and better understand how they may change...
- This $163,796 Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) will fund collaborative research to improve understanding and forecasting of quasi-linear convective systems (QLCSs) - lines of thunderstorms that can produce high-impact weather such as tornadoes and extreme straight-line winds. The research team will create a comprehensive database of QLCS events using advanced weather radar data and machine learning techniques. This...
- This Project Grant award from the National Science Foundation Division of Atmospheric and Geospace Sciences provides $678,911 to the University of Oklahoma under the Geosciences federal grant program (CFDA 47.050) to analyze data collected during the 2019 and 2022 Targeted Observation by Radars and UAS of Supercells field campaigns. The University will apply advanced modeling techniques to observational data on supercell thunderstorms to improve understanding of why some develop tornadoes...
This three-year, $846,782 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund research to investigate the effect of future climate change on severe convective storms. The awardee, the University of Washington, will combine self-organized maps and idealized storm-scale simulations to examine how severe thunderstorms and tornadoes may change in a warmer climate. Researchers will first use data-based methods with climate model simulations to understand how environments conducive to severe thunderstorms may shift. They will then test the impacts of these changes on storm activity and hazards using storm-scale modeling. By integrating climate models, machine learning techniques, and idealized simulations, the project aims to provide a more comprehensive view of how severe convective storm activity may be altered in a future warmer climate when considering both large-scale environmental and storm-scale dynamic factors. Outcomes will enhance understanding of potential geographic and seasonal shifts in severe storms and hazards to better inform climate adaptation strategies.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $423.4k | 6/14/22 |