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 National Science Foundation (NSF) awarded a $497,419 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Colorado State University (CSU). The grant, titled "CAIG: Toward a Deeper Understanding of Cloud Processes and Future Storm Modes Using AI," aims to develop novel algorithms that leverage artificial intelligence (AI) and advanced mathematics to gain a deeper understanding of cloud formation and hazardous weather patterns in the...
This Project Grant award from the National Science Foundation's Geosciences program (CFDA 47.050) provides $199,316 to Northern Illinois University to advance the understanding of how extreme weather events, such as heavy rainfall and flooding, may change in response to future climate scenarios. The project aims to evaluate whether artificial intelligence and machine learning can provide a faster, more efficient alternative to traditional climate modeling approaches. The research will train...
This $399,162 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to develop interpretable, stable, and mass-conserving artificial intelligence (AI) models to improve the computational speed and efficiency of geoscientific models, such as those used for air pollution and climate research. The project will create simpler "surrogate" machine learning models for key components like atmospheric chemistry and wildfire plume rise, allowing for...
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...
The National Science Foundation (NSF) awarded a $752,656 Project Grant under its Geosciences (CFDA 47.050) program to San Diego State University (SDSU) Foundation. This 4-year award from September 2023 to August 2027 will expand the AI Institute for Research on Trustworthy AI in Weather, Climate and Coastal Oceanography (AI2ES) partnership between SDSU, University of California Irvine, and two Hispanic-Serving Institutions. The project will scale up existing AI research and education programs at...
This $202,000 Project Grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) supports the development of data-driven methods for predicting extreme weather events under climate change. The grant aims to create neural network models capable of capturing the statistics of extreme events, such as heat waves and droughts, in future climate projections. The work builds on previous research on modeling chaotic systems and addressing the spectral bias in neural networks....
This $540,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the University of Oklahoma to investigate the atmospheric processes that lead to tornado formation using explainable deep learning models. The project aims to advance the understanding of tornadogenesis (tornado formation) in order to improve weather forecasting and increase the nation's ability to protect...
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...
Colorado State University's Sponsored Programs division will use a $242,089 National Science Foundation grant under the Geosciences program (CFDA 47.050) to develop explainable artificial intelligence techniques for improving precipitation analysis and forecasting using polarimetric radar remote sensing. The research focuses on physics-guided AI models for hydrometeor identification and microphysics retrievals from radar observations. It will also design a convolutional neural network for...