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...
The National Science Foundation (NSF), through its Geosciences Program (CFDA 47.050), awarded a $129,436 Project Grant to the University of Illinois to convene an international summit in Fall 2024 to discuss the feasibility of creating a special-purpose computational system for frontier Earth system science and climate projection. The scientific objectives of this project are to bring together international leaders from academia, industry, government, and non-profit organizations to examine...
This $499,450 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports a Research Coordination Network (RCN) focused on building cross-disciplinary capacity to understand the complex dynamics of climatic processes, bioaerosols, and infectious pathogens. The network brings together geoscientists and healthcare professionals to develop frameworks for predicting and preventing the transmission of environmentally sensitive, climate/weather-modulated...
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, titled "EMBRACE-AGS-SEED: Harnessing the Power of Machine Learning to Generate Ensembles of Regional Climate Projections," was provided by the National Science Foundation's Geosciences Program (CFDA 47.050). The $199,316 award to Northern Illinois University aims to advance understanding of how extreme weather events, such as heavy rainfall and flooding, may change in response to future climate scenarios. The research will evaluate whether artificial...
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...
This $683,266 Project Grant awarded by the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) aims to reconstruct global ice volume and bottom water temperature over the past 1-3 million years. The project at Brown University will analyze multiple climate proxies, including biomarkers and stable isotopes, using machine learning algorithms to resolve global ice volume and ocean temperature signals. The key objectives are to assess the role of CO2 and ice albedo in global...
This $500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research and development to enhance climate resilience and confront coastal hazards in the Great Lakes region.
The project, led by Michigan Technological University, combines natural hazard research with local knowledge to create practical tools and strategies to help rural, remote, and indigenous communities in the region...
This Project Grant award, provided by the National Science Foundation (NSF) through its Geosciences Program (CFDA 47.050), aims to develop an artificial intelligence (AI) assistant to assist in comprehensive assessments of climate science research. The $660,984 award to Brown University will fund the creation of a climate science-focused AI chat bot that can independently read and summarize the latest peer-reviewed climate literature. This will enable more efficient and comprehensive reviews...
This $397,337 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) supports research into the drivers and impacts of warm-season climate extremes in North America under a changing climate. The awardee, Northern Illinois University, will use high-resolution global climate modeling to examine how factors across various spatial scales influence extreme events like floods, heat waves and droughts. Researchers will simulate past and potential future warm seasons...