Project Grant 2450718
- 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 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...
- This $5,500,000 Project Grant award from the National Institute of Standards and Technology (NIST), under the Congressionally-Identified Projects program (CFDA 11.617), aims to increase knowledge about local weather systems in the lower atmosphere. The key activities include: Developing a method to standardize and trace commercial UAS and advanced air mobility (AAM) atmospheric measurements, as well as protocols and standards for the Unmanned Aircraft Meteorological Data Report. Evaluating...
- 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 $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)...
- This $255,344 National Science Foundation project grant funds research at the University of Notre Dame aimed at advancing understanding of interactions between urban systems and storms and heatwaves. Specifically, the grant supports analysis of how intra-urban land surface properties and characteristics, urban aerosols, and changing urban landscapes impact extreme weather events in cities like Chicago, New York, and Denver. The University will utilize numerical modeling, new measurement...
- This federal Project Grant award for $650,000.00, funded by the National Science Foundation's Geosciences Program (CFDA 47.050), will support collaborative research to unravel the long-range predictability and environmental dependency of high-impact cyclones using advanced artificial intelligence (AI) tools. The research project, awarded to the University of Illinois, aims to improve fundamental understanding of cyclone behavior, including hurricanes and nor'easters, in order to develop more...
- 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 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $353,178 to the University of Florida to develop a transformative AI-based framework for generating high-fidelity, physically consistent, and uncertainty-calibrated geoscience data. The research aims to overcome limitations in observational infrastructure and computational cost to produce high-resolution geoscience data essential for understanding and predicting extreme weather events....
- This $298,225 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports a collaborative research project at Southern Methodist University (SMU) to develop advanced AI-powered modeling capabilities for examining small-scale turbulence within the coupled air-sea boundary layers. The research aims to improve understanding of how surface waves and their resulting turbulent processes regulate the exchanges of mass, momentum, and energy between the...
This $2,000,000 Project Grant award from the National Science Foundation (CFDA 47.041 - Engineering) supports the development of an integrated system to deliver accurate and actionable neighborhood-scale weather forecasts. The award, titled "LEAP-HI: ADVANCING PRECISION NEIGHBORHOOD SCALE WEATHER FORECASTING WITH AUTONOMOUS AIRCRAFT SYSTEMS AND ADAPTIVE MICROSCALE MODELS", will fund a multidisciplinary research effort to combine atmospheric measurements from uncrewed aircraft systems (UAS) with high-resolution numerical weather prediction models enhanced by machine learning. The goal is to equip decision-makers and emergency responders with localized weather insights to better prepare for and respond to extreme weather events. The award will be managed by the University of Kentucky Research Foundation, a non-profit research organization, and is scheduled to run from Sep 1, 2025 to Aug 31, 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $2.0m | 8/15/25 |