The National Science Foundation (NSF) awarded a $299,311 Project Grant under the Geosciences Program (CFDA 47.050) to the University of Missouri System's Missouri University of Science & Technology (Missouri S&T). This EAGER (Early-concept Grants for Exploratory Research) grant will fund a project to investigate the role of inverse energy cascade in tornadogenesis, with the goal of helping the National Weather Service (NWS) better assess which supercell thunderstorms have a high...
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 for $540,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) aims to develop machine learning (ML) models to investigate the atmospheric processes leading to tornado formation. The project, titled "CAIG: Investigating Tornadogenesis via Explainable Deep Learning," seeks to advance the understanding of dynamic and thermodynamic factors contributing to tornado development....
The National Science Foundation (NSF) awarded a $913,557 Project Grant under the Geosciences program (CFDA 47.050) to the University of Alabama in Huntsville (UAH) for the "Boundary-Layer Evolution and Structure of Tornadoes (BEST)" project. The BEST project aims to better understand the structure, evolution, and intensity of tornado winds in order to improve mitigation strategies for tornado hazards. Through the grant, UAH will deploy advanced mobile radar systems, tornado pods, and...
Texas Tech University has been awarded a three-year, $320,846 Project Grant from the National Science Foundation Division of Atmospheric and Geospace Sciences under the Geosciences federal grant program (CFDA 47.050). The grant will fund research into the vorticity dynamics of tornado formation and maintenance through sophisticated numerical modeling. The project aims to analyze mechanisms leading to tornado intensification and develop an improved theory of tornadogenesis. It will pursue...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $698,967 to the University of Oklahoma to conduct research on how the extratropical transition of landfalling hurricanes impacts tornadoes and supercell thunderstorms. The research aims to improve tornado forecasting skills by examining the effects of hurricane extratropical transition on tornado frequency, characteristics of supercell thunderstorms, and the associated environmental...
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...
The University of Oklahoma will provide research services under a $438,686 National Science Foundation Project Grant in the Geosciences program (CFDA 47.050). Specifically, the University will collect and analyze Doppler radar data to further understanding of tornado formation and wind structure in severe convective storms. Using a mobile, rapid-scan polarimetric radar, researchers will document tornado genesis and structure at low altitudes, including a rare anticyclonic tornado. Existing radar...
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) 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...