Project Grant 2507255

Award Date 5/15/25
Completion Date 10/31/25
Dollars Obligated $305K
Federal Grant Program
47.084
Assistance Type
Project Grant
Place of Performance
Sunnyvale, CA 94089, USA
Similar Awards
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 National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant, awarded on February 15, 2024 for $275,000.00, supports the development of a weather forecasting and climate prediction tool for subseasonal forecasting, extreme weather events, and long-term climatological changes. The project aims to establish the feasibility of utilizing physics-informed machine learning to create probabilistic models of crucial climatological parameters and extreme...
The National Science Foundation (NSF) awarded a $752,656 Project Grant under its Geosciences (CFDA 47.050) program to San Diego State University (SDSU) Foundation. This 4-year award from September 2023 to August 2027 will expand the AI Institute for Research on Trustworthy AI in Weather, Climate and Coastal Oceanography (AI2ES) partnership between SDSU, University of California Irvine, and two Hispanic-Serving Institutions. The project will scale up existing AI research and education programs at...
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 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 award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $275,000 to Sunairio Inc. to develop a high-fidelity climate simulation engine powered by generative adversarial networks. The goal is to create a broad (1,000 outcomes), hyperlocal (less than 3 km) climate simulation archive that can be used by power grid planners and energy investors to better understand forward-looking risks to grid...
This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $294,759 to Submarine Scientific LLC, a woman-owned small business, to develop an advanced ocean modeling platform. The platform will integrate GPU-optimized modeling software with AI tools to automate the configuration, validation, and analysis of regional ocean models for marine carbon dioxide removal (MCDR) applications. The project aims to...
This $274,192 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports the development of an advanced generative AI toolbox for interactive Life Cycle Assessments (LCA). The primary aim is to create a domain-specific large language model that can process complex, multi-modal data to provide real-time insights into Scope 3 emissions, which are often the most significant part of a company's carbon...
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 $660,984 Project Grant under the Geosciences program (CFDA 47.050) to Brown University. The grant, titled "CAIG: Navigating the Climate Science Deluge: Training Language Models to Assist in Comprehensive Assessments," aims to develop an artificial intelligence (AI) climate science chatbot assistant to help researchers more efficiently review and summarize the growing body of climate research literature. The project will create new methods...

This $304,943 Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports the development and testing of an AI-driven foundation modeling framework for the atmosphere and ocean. The goal is to create an advanced multimodal AI model that can provide essential environmental intelligence to help businesses, governments, and municipalities navigate environmental volatility and extreme weather events. The model will be trained on petabytes of Earth system data to build fundamental knowledge of the interactions between the atmosphere, ocean, and other components of the Earth system. Key anticipated outcomes include improved long-range weather forecasting, extreme weather event alerts, and a range of local-scale environmental intelligence applications. The project, led by Planette Analytics Inc., a minority-owned and woman-owned small business, is scheduled for completion by October 31, 2025.

Generated 6/17/25, 5:52 AM