Project Grant 2324008
Award Date
9/1/23
Completion Date
8/31/27
Dollars Obligated
$753K
Funding Federal Agency
Office of Integrative Activities
Awarding Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.050
Assistance Type
Project Grant
Place of Performance
San Diego, CA 92182, USA
Similar Awards
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 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...
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $449,321 to the University of California, Santa Cruz (UCSC) to develop AI-based atmospheric emulators that can reliably model climate change and extreme weather events. The project aims to create physically-consistent and numerically stable deep learning models to simulate atmospheric dynamics at a fraction of the computational cost of...
This Project Grant award of $529,722.00 from the National Science Foundation's Geosciences Program (CFDA 47.050) will support research to develop advanced artificial intelligence models to predict the formation and evolution of thunderstorms. The project aims to create a prognostic, diagnostic, and generative deep learning nowcasting tool for convection initiation that can quantify the predictability and uncertainty of these predictions. The research will also seek to discover the physical and...
This Project Grant from the National Science Foundation's Division of Earth Sciences provides $294,998 to San Diego State University Research Foundation from September 2021 through August 2025. The funding supports the development of a framework to predict hydrologic processes at continental scales under the Geosciences program (CFDA 47.050). The Geosciences program aims to expand understanding of the integrated Earth system through basic research in atmospheric, earth, and ocean sciences....
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 $225,351 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support the development of AI emulator tools for improving the estimation of statistics for rare and extreme climate events, such as heat waves and cold spells. The project, led by New York University (NYU), will focus on creating novel methods to leverage AI techniques to better model and predict the impacts of these...
The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Massachusetts (UMass) to investigate distributed machine learning for climate modeling and weather forecasting. Through this EAGER (EArly-concept Grants for Exploratory Research) award, UMass will leverage existing testbeds, including the CASA radar network, to support the development of a National Discovery Cloud for Climate...
This $599,411 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a "Trustworthy Toolbox for Double-Correct Predictive Modeling in Sciences." The project aims to create advanced artificial intelligence (AI) and machine learning (ML) models that can make accurate predictions while also providing transparent, scientifically-grounded rationales for their outputs. This...
This Project Grant award of $199,316.00 from the National Science Foundation (NSF) Geosciences Program (CFDA 47.050) will support Northern Illinois University's (NIU) research project titled "EMBRACE-AGS-SEED: Harnessing the Power of Machine Learning to Generate Ensembles of Regional Climate Projections." The project aims to advance the understanding of how extreme weather events, such as heavy rainfall and flooding, may change in response to future climate scenarios. It will...