Project Grant 2149353
- This $112,582 National Science Foundation project grant supports foundational research to improve understanding and forecasting of downdrafts in deep convection through June 2025. Funded under the Geosciences program (CFDA 47.050), the research will analyze the influence of atmospheric properties on downdraft forces and origins using theoretical and idealized modeling. Insights will enhance downdraft representation in weather and climate models to improve prediction of thunderstorm impacts,...
- This three-year, $482,724 National Science Foundation project grant in the Geosciences program (CFDA 47.050) will fund foundational research at Texas A&M University to improve understanding and prediction of downdrafts in deep convection. The university will conduct theoretical analysis and idealized simulations to elucidate the influence of atmospheric properties on downdraft formation heights and intensities. Researchers will analyze simulations using novel tracer techniques and trajectory...
- 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 National Science Foundation project grant of $399,905 provides funding from August 1, 2022 to July 31, 2025 under the Geosciences program (CFDA 47.050) to develop a new poloidal convection model and multi-scale description of moist circulations in tall cumulus clouds. The University of California, Davis will test and further develop the poloidal model framework to incorporate both ascending and descending air motions within convective clouds. This will allow for new understanding of cloud...
- 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...
- 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 Project Grant from the National Science Foundation Division of Atmospheric and Geospace Sciences provides $459,465 to Colorado State University for collaborative research on convective upscale growth processes during the RELAMPAGO field project. The research directly supports the goals of the Geosciences program (CFDA 47.050) to strengthen understanding of the integrated Earth system through basic research in atmospheric sciences. Specifically, Colorado State University will utilize the...
- 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 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $470,539 over a 3-year period from Sep 1, 2024 to Aug 31, 2027 to The Pennsylvania State University to conduct collaborative research on extratropical storm track dynamics. The primary objectives are to: Demonstrate linkages between tropical deep convection, planetary-scale stationary wave activity, temperature gradients, and extratropical storm track activity. Identify the physical...
- The National Science Foundation (NSF) Division of Atmospheric and Geospace Sciences awarded a $297,316 project grant to the New Jersey Institute of Technology (NJIT) to conduct collaborative research on convective processes in the tropics. The project, which runs from January 1, 2024 to December 31, 2026, aims to improve understanding of the interaction between small-scale cloud and storm details and large-scale rainfall patterns in the tropics. Key activities include leveraging advanced...
This $817,212 National Science Foundation project grant supports research at Pennsylvania State University to improve understanding and forecasting of downdrafts in deep convection. The three-year award under the NSF Geosciences program (CFDA 47.050) aims to advance fundamental knowledge of the processes contributing to vertical air motions in thunderstorms. Through theoretical analysis and idealized simulations, the university researchers will study the influence of atmospheric properties on downdraft formation, typical origin heights, and intensification. This foundational research seeks to solidify conceptual models of downdrafts and incorporate improved parameterizations into weather and climate models. The project also includes development of an enhanced sounding-based metric for downdraft forecasting accounting for non-hydrostatic effects. Insights will inform global climate model sensitivity experiments to elucidate downdraft links to climate simulations. Undergraduate, graduate and postdoctoral participants will gain research experience, contributing to training the next generation of scientists.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $408.6k | 6/8/22 |