This $397,337 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) supports research into the drivers and impacts of warm-season climate extremes in North America under a changing climate. The awardee, Northern Illinois University, will use high-resolution global climate modeling to examine how factors across various spatial scales influence extreme events like floods, heat waves and droughts. Researchers will simulate past and potential future warm seasons...
The National Science Foundation (NSF) Division of Mathematical Sciences awarded a 3-year, $150,000 Project Grant to The Regents of the University of Colorado (University of Colorado) to develop new statistical methods for analyzing extreme weather events such as heatwaves, droughts, and intense precipitation. The research, conducted under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), aims to better understand the spatiotemporal distributions and trends of these extreme...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $211,743 to the University of North Carolina at Chapel Hill to conduct research aimed at reducing uncertainties in tree-ring records of wet extremes. The goals of the 3-year project are to:
Use dendrometers to measure how tree growth responds to changes in precipitation frequency, intensity, and timing at sites in the AmeriFlux network.
Reconstruct wet extremes of precipitation from...
This Cooperative Agreement award from the National Oceanic and Atmospheric Administration (NOAA) under the Climate and Atmospheric Research program (CFDA 11.431) provides $960,000 to the University of Maryland, College Park to develop a prototype climate service to deliver decision-making information to stakeholders facing climate-related risks. The key products and services to be delivered include climate observation and projection products, as well as new cloud-based services, focused on...
This $1,442,310 Cooperative Agreement awarded by the National Oceanic and Atmospheric Administration (NOAA) under the Climate and Atmospheric Research program (CFDA 11.431) will be used by Colorado State University to develop reliable and scientifically robust climate projection services for high-priority climate risk areas. The project will focus on five key themes: western water resources, heat waves, coastal flood risk, wildfire risk, and extreme wind events. The research will involve...
This federal Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) provides $135,798 to the University of California, Davis (UC Davis) to develop flexible regression methods for improving the measurement of economic impacts of climate change.
The key products and services to be delivered under this 3-year, $135,798 award include:
Developing new statistical software and analytical techniques to accurately model the...
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...
This $500,000 Cooperative Agreement, awarded by the National Oceanic and Atmospheric Administration (NOAA) under the Climate and Atmospheric Research federal grant program (CFDA 11.431), will support the development of authoritative climate projection services. The project, led by Florida International University, will conduct foundational research to improve understanding and forecasting of climate-related risks such as coastal inundation, extreme heat, drought, wildfires, and extreme winds....
This Project Grant award for $284,444 was made by the National Science Foundation (NSF) Geosciences Program (CFDA 47.050) to the University of Chicago. The funding will support the development of AI emulator tools to improve the estimation of rare and extreme climate events, such as heat waves and cold snaps, which have major societal impacts. The proposed work will leverage AI methods to extract long return periods from large-ensemble short-duration emulations and generate more rare event...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $1,010,185 to Cornell University to conduct research on attributing extreme weather events to variability in the stratosphere. The project will apply an extreme event attribution framework to analyze the contributions of sudden stratospheric warmings and planetary wave amplification to cold air outbreaks on sub-seasonal timescales. Key research activities include using observations and...