Project Grant 2214697

Award Date 7/1/22
Completion Date 6/30/25
Dollars Obligated $1.5M
Federal Grant Program
47.050
Assistance Type
Project Grant
Place of Performance
Los Angeles, CA 90095, USA
Similar Awards
The National Science Foundation (NSF) awarded a 5-year, $944,511 Geosciences program Project Grant to the University of California, Los Angeles (UCLA) Office of Research Administration on September 1, 2024. Under this award, UCLA will conduct research to understand changes in summertime continental temperature extremes, including the physical mechanisms driving faster warming of the hottest days compared to average temperatures. The research will analyze observational data and climate model...
This $707,741 project grant from the National Science Foundation Division of Atmospheric and Geospace Sciences Geosciences program (CFDA 47.050) will fund research into dynamical mechanisms for midlatitude-arctic interactions and associated weather extremes in a warming climate. The University of California, Los Angeles will examine several interrelated dynamical mechanisms through three tasks from April 15, 2023 to March 31, 2026. The researchers will analyze linkages between stratospheric...
This $1,389,411 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports the continuing research efforts of the Principal Investigator to understand the probability distribution of rainfall intensity and its relationship to climate change. The key objectives include: Explaining why increases in precipitation intensity in a warming climate exceed expectations based solely on increased water vapor content. Exploring how the suppression of convection due...
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 to...
The National Science Foundation (NSF) awarded a $202,000 Project Grant (CFDA 47.050 - Geosciences) to fund a postdoctoral research project entitled "Understanding Compound Heat Wave-Wildfire Events in the Western United States: Large-Scale Meteorology, Remote Climate Influences, and Climate Model Simulations." The goal of this 2-year award, effective December 1, 2024, is to gain a better understanding of the climate dynamics and large-scale meteorology associated with the co-occurrence...
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...
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...
The National Science Foundation (NSF) Division of Atmospheric and Geospace Sciences awarded a $899,544 Project Grant to the University of California, Los Angeles (UCLA) under the Geosciences program (CFDA 47.050) to leverage emergent climate model evaluation techniques to reduce uncertainty in regional climate change projections, particularly related to the water cycle. This 3-year project will focus on applying these methods to high-resolution climate model simulations of the western United...
This Project Grant award for $202,000 from the National Science Foundation's Geosciences Program (CFDA 47.050) supports research to develop data-driven methods for predicting extreme weather events under climate change. The principal investigator, who is based at the University of Chicago, will use a hierarchy of climate models, including simplified dynamical models and archived CMIP simulations, to train neural networks capable of capturing the statistics of rare extreme events. This work seeks...
This Project Grant award for $322,555.00, provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program, supports research at The Washington University to develop statistical and machine learning methods for studying weather and climate extremes. The key products and services to be delivered include: Validating climate models in their ability to mimic real climate extremes, by comparing modeled and observed spatial extremes and...

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 analyses to capture the variety and complexity of synoptic wind patterns responsible for extreme events like persistent dry spells, heatwaves, and wildfires. The project will also investigate the roles of clouds, precipitation, aerosols, and atmospheric dynamics in intensifying extreme weather. An integrated approach will systematically characterize atmospheric physical and dynamic processes and land surface feedbacks behind extreme dry/wet spells and hot days. The research aims to clarify the relative roles of atmospheric dynamics and physical processes in determining extreme weather occurrences and the concurrence of multiple event types. Outreach activities are also supported to translate findings into meaningful public information. The award period is from July 1, 2022 to June 30, 2025.

Generated 1/6/24, 7:12 PM