This $199,316 Project Grant award from the National Science Foundation (NSF) Geosciences Program (CFDA 47.050) aims to advance the understanding of how extreme weather events, such as heavy rainfall and flooding, may change in response to future climate scenarios. The research will evaluate whether artificial intelligence and machine learning can provide a faster, more efficient alternative for simulating rainfall patterns compared to traditional climate models. The project will train students...
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....
The National Science Foundation (NSF) awarded a $175,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to Arizona State University to develop a geostatistical framework for modeling spatiotemporal extremes, such as heat waves, drought, and intense precipitation. The research aims to better understand the distributions of extreme weather events and develop statistical tools to model the associated spatial and temporal trends and uncertainties. The project will...
This $1,482,996 National Science Foundation project grant supports research at the University of California, Los Angeles to diagnose and understand the mechanisms behind warm season extreme weather over central and intermountain United States. The grant is funded through the NSF's Geosciences program (CFDA 47.050), which aims to strengthen understanding of the integrated Earth system through atmospheric, earth, and ocean sciences support. Specifically, the UCLA researchers will apply statistical...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) provides $322,555 to The Washington University in St. Louis to develop statistical and machine learning methods for studying weather and climate extremes. The three-year project will focus on three key areas: (1) validating climate models' ability to mimic real climate extremes, (2) detecting changepoints and estimating break times in extreme weather and...
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 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...
Northern Illinois University was awarded a $474,682 Project Grant from the National Science Foundation under the Geosciences program (CFDA 47.050) for the period of April 1, 2021 through March 31, 2024. The grant aims to advance understanding of intraseasonal variability in severe convective storms in the United States through basic research. As part of the Geosciences program's goal of expanding knowledge of the integrated Earth system, this NSF grant will support Northern Illinois University...
This $341,117 project grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund research to improve understanding of potential changes to El Niño-Southern Oscillation (ENSO) impacts from climate change. The awardee, North Carolina State University, will use sophisticated computer modeling to systematically test scenarios of how different possible future changes to ENSO could alter temperature and precipitation patterns over North America. The research seeks to...
This $696,515 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) supports research and outreach on variations in the pace of surface temperature change. The awardee, University of California Santa Cruz, will conduct statistical analysis of global climate observations to identify regions and periods with accelerated warming rates over the past two centuries. Model simulations will determine the causes of detected changes and quantify future warming rates...