Project Grant 2446813
Award Date 9/1/25
Completion Date 8/31/28
Dollars Obligated $570K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Davis, CA, USA
Similar Awards
- This Project Grant award, totaling $577,535.00, was provided by the National Science Foundation's Geosciences Program (CFDA 47.050) to The Trustees of Columbia University in the City of New York. The objective of the project is to develop a general theoretical framework for assessing the value of using climate model output to inform decision-making for weather and climate risk management across various sectors, including insurance, infrastructure planning, agriculture, and public health. The...
- 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 from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $410,837 to Boston University to conduct collaborative research aimed at improving the performance of climate models used to simulate weather and climate. The research addresses two key shortcomings of current climate models: their computational intensity and lack of incorporation of observational data. The project will develop climate emulators that use machine learning to extract...
- This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $464,291 to the University of California, Davis to conduct collaborative research on understanding the drivers of cloud and precipitation variability. The research team will use large-eddy simulations and cloud observations to identify the sources of small-scale spatial variability in stratocumulus clouds and how this variability impacts cloud and precipitation processes. The goal is to...
- This $322,555 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports research to develop statistical and machine learning methods for studying the dynamics of weather and climate extremes. The three-year project, with a completion date of July 31, 2025, will focus on three key areas: climate model validation, changepoint estimation for extremes, and integration of multi-model climate ensembles. The research aims to enhance...
- The National Science Foundation awarded a $500,000 Project Grant from the Geosciences program (CFDA 47.050) to the University of Maryland, College Park. The grant will fund a collaborative research project titled "CAIG: Reliable Generative Downscaling for Geoscience Data" from October 1, 2025 to September 30, 2028. The project aims to develop a transformative AI-based framework for generating high-fidelity, physically consistent, and uncertainty-calibrated geoscience data. This will...
- This $301,719 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will fund research to develop flexible regression methods that can better measure the economic impacts of climate change. The research will focus on improving statistical techniques to accurately capture the effects of extreme temperature exposure on economic outcomes, which is critical for informing effective climate policy. The work will include...
- This National Science Foundation Project Grant award of $1.6 million supports research at the University of California, Davis under the Geosciences program (CFDA 47.050) from October 2022 through March 2027. The award will fund research to advance understanding of feedbacks governing decentralized water resource systems in California's Central Valley through data-driven approaches. Specifically, the University of California, Davis will characterize decision-making relationships and quantify...
- This Project Grant award of $798,840 from the National Science Foundation's Geosciences Program (CFDA 47.050) supports research at the University of California, Los Angeles (UCLA) to develop deep learning-based stochastic models for improving forecasts of high-impact weather events such as heat waves, cold snaps, wildfires, and heavy rainfall. The project aims to integrate physics-based atmospheric science with advanced machine learning techniques to enhance the ability to predict these...
- The National Science Foundation (NSF) Division of Social and Economic Science awarded a $243,767 Project Grant to The Trustees of Columbia University in the City of New York (Columbia University) for a 3-year collaborative research project (Award Date: Jul 15, 2023, Completion Date: Jun 30, 2026). The research examines how weather forecast accuracy impacts economic behavior and human wellbeing, including the differential effects across different demographic groups. Specifically, the project...