This Project Grant award of $375,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of CHEMPAS-A, a new atmospheric chemistry modeling system that integrates additional chemistry features into the Model for Prediction Across Scales-Atmosphere (MPAS-A) global weather model. The key objectives are to create a stable, user-friendly, and high-performance modeling software that enables the efficient integration...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, totaling $439,417, supports the development of CHEMPAS-A - a new atmospheric chemistry modeling system that integrates additional chemistry features into a global weather model. The goal is to create a flexible, user-friendly framework for simulating atmospheric chemistry from global to local scales, empowering researchers to quickly explore, test, and improve...
This $1,222,658 Project Grant, awarded by the National Science Foundation's Geosciences Program (CFDA 47.050), supports the development of CHEMPAS-A, a new atmospheric chemistry modeling system that integrates additional chemistry features into the Model for Prediction Across Scales-Atmosphere (MPAS-A) global weather model. The goal is to create a flexible, user-friendly framework for simulating atmospheric chemistry across global to local scales, enabling researchers to quickly explore, test,...
This $616,131 National Science Foundation project grant will fund the development of observation-based metrics to evaluate global atmospheric chemistry models at the University of California, Irvine through January 2025. As part of its Geosciences program, which supports basic research in atmospheric, earth, and ocean sciences, the NSF aims to strengthen the scientific enterprise's understanding of the integrated Earth system. Under this award, the university will design, test, and document a...
This National Science Foundation (NSF) Division of Computer and Network Systems Project Grant award (CFDA 47.070) for $207,394 supports collaborative research between Washington University and researchers from MIT to improve the performance of the GEOS-Chem 3D atmospheric simulation software. The goal is to speed up the complex GEOS-Chem model, which simulates the evolution of the Earth's atmospheric chemical composition and is an essential tool for understanding climate change. The...
This National Science Foundation Project Grant award of $530,956 provides funding from October 1, 2022 to September 30, 2024 to support research applying graph theory techniques to atmospheric chemical mechanisms. The award is made under the Geosciences program (CFDA 47.050), which aims to expand understanding of the integrated Earth system through basic research in atmospheric, earth, and ocean sciences. Specifically, the University of Southern California project will develop and assess...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will support research to quantitatively assess the influence of salt on the aqueous partitioning of water-soluble organic gases in the atmosphere. The $709,720 project, which runs from December 2024 to November 2027, will involve field and laboratory measurements, reanalysis of prior atmospheric chemistry data, and the development of parameterizations for implementation in chemical transport models....
This $649,388 Project Grant from the National Science Foundation's Division of Atmospheric and Geospace Sciences, under the Geosciences program (CFDA 47.050), will fund research exploring the impact of future land use change on global air quality and nutrient deposition. Specifically, the awardee, the Massachusetts Institute of Technology, will couple land use output from the Community Land Model simulations, driven by Shared Socioeconomic Pathways scenarios, to the GEOS-Chem global chemical...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $163,674 to the University of Southern California to apply machine learning tools and develop new computational methods to improve predictability in atmospheric chemistry. The research aims to gain a better understanding of the controlling factors behind the chemical composition of the atmosphere, especially those related to the plant biosphere. This effort is expected to transform the...
This National Science Foundation project grant award of $499,732 will fund research to constrain the mechanistic effects of spatial resolution on global air quality modeling. The investigators at the Washington University will perform a series of chemical transport model simulations from March 2023 to February 2026 to study errors that arise in model simulations due to coarse horizontal resolution. The research goals are to quantify and interpret the resolution dependence of non-linear...