Project Grant 2335210
Award Date
2/15/24
Completion Date
1/31/25
Dollars Obligated
$275K
Federal Agency
National Science Foundation
Awardee
Vayuh Inc. (LMHUS3YZNQ93)
Federal Grant Program
47.084
Assistance Type
Project Grant
Place of Performance
Oakland, CA 94609, USA
Similar Awards
This NSF Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $274,912 to Salient Predictions Inc. aims to develop a machine learning model for forecasting extreme heat or cold events 1 month in advance. The project focuses on creating a proprietary model that combines current weather forecasting technologies with improved machine learning-powered models and environmental data to generate more accurate sub-seasonal forecasts. The goal is to empower industries like...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $202,000 to support research aimed at developing data-driven methods for predicting extreme weather events under climate change. The key products to be delivered under this 2-year award include:
Developing neural network models capable of capturing the statistics of extreme events in future climate projections. This will involve addressing challenges such as spectral bias and the...
This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences (CFDA 47.049) program provides $322,555 in funding to The Washington University in St. Louis to develop statistical and machine learning methods for studying the dynamics of weather and climate extremes. The three-year project, which runs from December 1, 2024 to July 31, 2025, will support one graduate student per year and focus on three key areas: 1) validating climate models in their...
The National Science Foundation (NSF) awarded a $125,000 Project Grant to New York University under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The grant, which runs from October 1, 2024 to September 30, 2027, will support the development of AI emulator tools for estimating the statistics of rare and extreme climate events, such as heat waves and cold snaps. The proposed work will leverage advancements in AI to enhance the ability to model and predict the...
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...
This Project Grant award from the National Science Foundation's Geosciences program (CFDA 47.050) will support research by Texas Tech University to investigate the predictability of severe weather events, such as tornadoes, hail, and flooding, under current and future climate conditions. The $380,904 award, effective from September 1, 2023 to August 31, 2026, will involve creating and analyzing large datasets of numerical weather model forecasts to understand how and why the predictability of...
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...
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...
The National Science Foundation (NSF) awarded a $536,019 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Notre Dame's Notre Dame Research division. The grant funds the development of new software that can significantly reduce computational time and storage requirements for climate and weather modeling, which are critical for understanding future climate change impacts. The software will leverage advancements in applied...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $449,321 to the University of California, Santa Cruz to develop physically-consistent, long-term stable deep learning-based atmospheric emulators. The project aims to create AI models that can reliably simulate atmospheric dynamics and extreme weather events over long timescales, at a fraction of the computational cost of current physics-based climate models. Key innovations include...