This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will advance capabilities to understand and predict two critical aspects of the Earth system - the cooling effect of atmospheric aerosols and their impact on clouds, as well as the rate of Arctic sea ice melt. The $325,000 award to the Massachusetts Institute of Technology (MIT) will leverage artificial intelligence (AI) to learn directly from satellite observations and laboratory data, developing...
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 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will support a collaborative research project to address data irregularities in the automated classification of sea ice using artificial intelligence (AI) methods. The total funding amount is $317,922, awarded on September 1, 2025, with a project period ending on August 31, 2028. The key objectives of this project are to develop novel, weakly supervised AI techniques that can effectively learn...
This $805,132 Project Grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) will support a collaborative research effort to address label-data irregularities in sea ice classification using artificial intelligence (AI) methods. The project aims to develop novel weakly supervised AI techniques that can effectively learn from existing label data, despite irregularities, in order to automate sea ice classification. Key focus areas include reformulating the...
This Project Grant award of $261,675.00 from the National Science Foundation's Polar Programs (CFDA 47.078) supports a collaborative research project to advance predictive understanding of summertime Arctic sea ice cover. The project aims to develop new forecasting methods using advanced machine learning techniques to improve predictions of Arctic sea ice extent, which is crucial for understanding the impacts of climate change on Arctic environments, economies, and societies. The research will...
This National Science Foundation (NSF) Division of Atmospheric and Geospace Sciences Project Grant award, under the Geosciences program (CFDA 47.050), provides $158,059 to Colorado State University from July 1, 2023 to June 30, 2026. The funding will support collaborative research to understand the impact of declining Arctic sea ice on summertime climate change, including the effects on atmospheric circulation patterns, heat waves, and extreme weather. The research approach includes analysis...
This $100,000 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) will fund the development of a cybertraining program to increase the capacity of Arctic researchers to employ artificial intelligence (AI)-driven techniques on Arctic data. Arizona State University will lead the effort to establish an Arctic-AI research network for collecting AI training needs and sharing resources. Customized training will be provided through in-person workshops and online...
This $798,840 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports research to enhance forecasting capabilities for high-impact weather events like heat waves, cold snaps, wildfires, and heavy rainfall. The project aims to integrate physics-based atmospheric science with state-of-the-art machine learning techniques, generating stochastic models to better predict midlatitude weather patterns and extreme events. This research will contribute...
This $513,000 Project Grant award was provided by the National Science Foundation (NSF) Division of Polar Programs from August 1, 2023 to July 31, 2026. The grant supports collaborative research by the University of Colorado to assess the causal influence of atmospheric opacity (clouds) and sea ice thickness on Arctic warming over the past 40 years and into the near future. Key deliverables include quantifying the impact of these factors on Arctic warming rates using a novel modeling approach,...
This $307,540 federal Project Grant award from the National Science Foundation's Polar Programs (CFDA 47.078) will fund research to investigate the role of Arctic clouds in modifying surface temperature and energy absorption. The research aims to clarify how different cloud regimes develop and their impacts on Arctic warming and sea ice extent. The project will combine observations from an Alaska field site with high-resolution regional climate models to characterize cloud formation processes...