This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award of $290,285, effective July 1, 2025 through June 30, 2028, aims to develop an advanced cyberinfrastructure that integrates artificial intelligence (AI) with diverse space weather data to improve forecasting of extreme space weather events. The project will create a homogenized dataset of vector magnetograms, open-access computational tools, and machine learning models to process...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $199,534 to the New Jersey Institute of Technology (NJIT) from July 1, 2025 to June 30, 2028. The project aims to develop an advanced cyberinfrastructure that integrates artificial intelligence (AI) with diverse space weather data to improve forecasting of extreme space weather events, such as solar flares, coronal mass ejections, and...
This Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop an advanced cyberinfrastructure that integrates artificial intelligence (AI) with diverse space weather data to improve forecasting of extreme space weather events. The $109,930 award to The Johns Hopkins University will enable the creation of a homogenized dataset of vector magnetograms, open-access computational tools, and machine learning models...
This $212,120 National Science Foundation Project Grant under the Geosciences program (CFDA 47.050) funds research into the impacts of atmospheric waves and geomagnetic disturbances on space weather conditions. Led by the Massachusetts Institute of Technology in collaboration with Clemson University, Embry-Riddle Aeronautical University, New Jersey Institute of Technology, and Virginia Polytechnic Institute and State University from May 1, 2022 to April 30, 2025, the research will advance...
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 Project Grant award, valued at $462,224.00 and provided by the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050), aims to advance the understanding of solar wind-magnetosphere coupling and its impact on space weather. The project, led by the Catholic University of America (CUA), will: Quantify the influence of local magnetosheath parameters versus global solar wind measurements on geomagnetic response, Identify the specific solar wind and magnetosheath parameters that...
This Project Grant award of $400,000 from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to improve the understanding and forecasting of space weather events, particularly geomagnetic storms, which can disrupt critical technological infrastructure such as power grids, satellite communications, and GPS systems. The research project, titled "EMBRACE-AGS-GROWTH: Modeling Space Weather as a Nonlinear Control System," employs innovative mathematical models and...
This National Science Foundation Project Grant of $523,833 will fund research into impacts of atmospheric waves and geomagnetic disturbances on space weather through April 2025. Under the Geosciences program (CFDA 47.050), which supports basic research to increase understanding of the integrated Earth system, the awardee Clemson University will collaborate with Embry-Riddle Aeronautical University, Massachusetts Institute of Technology, New Jersey Institute of Technology, and Virginia...
This $202,000 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund a 2-year postdoctoral research project to quantify the effects of uncertain solar wind inputs on the Multiscale Atmosphere-Geospace Environment (MAGE) geospace model. The project aims to 1) quantify the sensitivity of the MAGE model to input uncertainty, 2) identify differences between model outputs and observed magnetospheric state that cannot be explained by uncertain boundary...
This Project Grant from the National Science Foundation Division of Atmospheric and Geospace Sciences, under the Geosciences federal grant program (CFDA 47.050), provides $437,703 to Utah State University to advance interdisciplinary research connecting heliophysics and computer science. The award supports the development of novel graph neural network models to leverage time series similarities of photospheric vector magnetic field parameters for improved solar flare prediction. Researchers will...