Project Grant 2528394
Award Date 10/1/25
Completion Date 9/30/26
Dollars Obligated $305K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
San Francisco, CA 94107, USA
Similar Awards
- 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...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award in the amount of $274,912 provides funding to Salient Predictions Inc., a for-profit small business, to develop a machine learning model that can forecast extreme heat or cold events up to one month in advance. The goal is to create a predictive model that combines weather forecasting technologies with machine learning to deliver more accurate sub-seasonal temperature forecasts,...
- This SBIR Phase I Project Grant, awarded by the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to develop an AI-driven multimodal foundation model for actionable earth system intelligence. The $304,943 award to Planette Analytics Inc., a minority-owned, woman-owned small business located in Fremont, CA, will fund the development and testing of an advanced AI framework that can model the atmosphere, ocean, and other earth system...
- This $526,119 Project Grant awarded by the National Science Foundation (NSF) Geosciences program on February 15, 2024 will support research by the University of California, Berkeley to develop new scale-aware turbulence parameterizations for high-resolution weather prediction models. The goal is to improve the accuracy of weather and regional climate forecasts in the "gray zone" between 1-10 km grid resolutions, where traditional modeling approaches break down. The research aims to...
- This $719,925 Project Grant awarded by the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) aims to improve numerical weather prediction through better incorporation of polarimetric radar data. The key products and services of this 3-year research project, which began on August 15, 2025, include: Exploring new information and improving data quality for two specific radar quantities to enhance polarimetric radar measurements. Testing and modifying microphysics schemes in...
- The National Science Foundation (NSF) awarded a $177,158 project grant under the Geosciences program (CFDA 47.050) to the University of Chicago to improve the understanding and representation of atmospheric gravity waves. The grant supports collaborative research leveraging high-resolution observations from Loon high-altitude balloons and specialized computer simulations with machine learning techniques. The goal is to develop more accurate data-informed models of gravity waves, which play a...
- This $349,932 federal Project Grant award from the National Science Foundation (NSF) under the Office of International Science and Engineering (OISE) Federal Grant Program (CFDA 47.079) supports a collaborative research initiative between the U.S. and Switzerland. The primary objectives are to: (1) Develop a reliable scientific measurement platform using small uncrewed aircraft systems (UAS) to collect high-resolution atmospheric data on pollution, thermodynamics, and wind properties, and (2)...
- The National Oceanic and Atmospheric Administration (NOAA) awarded a $500,000 Cooperative Agreement under the Weather and Air Quality Research program (CFDA 11.459) to Windborne Systems Inc., a small business based in Palo Alto, California. The funding supports the development of four key capabilities for Windborne's Global Sounding Balloon (GSB) platform: A dropsonde capable of measuring temperature, relative humidity, pressure, and wind speed/direction that can be deployed from the GSB....
- This $337,147 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will support research to explore the limits of atmospheric predictability using a deep learning framework. The project aims to test the long-held belief that weather forecast skill is inherently limited to about two weeks by leveraging machine learning models to reduce forecast errors over longer lead times, potentially extending predictability to 3-4 weeks or longer. The research...
- This $359,936 Project Grant award, funded by the National Science Foundation's Geosciences Program (CFDA 47.050), supports a three-year observational program to measure winds and temperatures in the thermosphere near the ionospheric peak density from multiple sites along the eastern seaboard of the Americas. The project uses a network of Fabry-Perot interferometers to provide high-precision, real-time data on thermospheric dynamics and conditions that impact critical communication, navigation,...