Project Grant 2228923

Award Date 10/1/22
Completion Date 9/30/24
Dollars Obligated $531K
Federal Grant Program
47.050
Assistance Type
Project Grant
Place of Performance
Los Angeles, CA 90089, USA
Similar Awards
The National Science Foundation (NSF) awarded a $163,674 CAREER project grant under CFDA 47.050 Geosciences to the University of Southern California (USC) to apply machine learning tools to develop new computational methods to improve predictability in atmospheric chemistry. The project 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 $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 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...
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 $816,275 will fund research at the University of California, Davis from July 2022 through June 2025 to improve understanding of how photo-oxidants form and influence the chemistry of atmospheric particles under the Geosciences program (CFDA 47.050). Specifically, the award will support measuring photo-oxidant concentrations and reaction kinetics in aerosol liquid water extracts from particles collected in Davis, California. It will also...
This $500,000 Project Grant awarded by the National Science Foundation's (NSF) Division of Chemistry under the Mathematical and Physical Sciences program (CFDA 47.049) supports research by Professor Victoria Barber of the University of California, Los Angeles to investigate gas-phase reaction pathways of peroxy radicals (RO2) in the Earth's atmosphere. The project aims to improve understanding of RO2 isomerization and self- or cross-reactions, and their implications for secondary organic aerosol...
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 $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...
Carnegie Mellon University was awarded a $853,186 project grant from the National Science Foundation Division of Atmospheric and Geospace Sciences. The grant is part of NSF's Geosciences program (CFDA 47.050), which supports basic research to enhance understanding of the integrated Earth system. Under the grant, Carnegie Mellon University will conduct research from January 2022 through December 2024 to examine interactions between organic oxidation and acid-base chemistry during particle...
This National Science Foundation (NSF) Project Grant award under the Geosciences Program (CFDA 47.050) provides $300,000 in funding to the Massachusetts Institute of Technology (MIT) from November 15, 2024 to October 31, 2027. The award supports the development of machine learning-powered "surrogate models" to increase the computational speed and efficiency of geophysical models used for air pollution and climate research. Key project objectives include: Creating simplified,...

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 reduced-complexity representations of atmospheric chemical mechanisms using novel graph theoretical techniques, including motif analysis, path and cycle analysis, and network robustness metrics. Researchers will also apply graph clustering methods and machine learning to support creation and evaluation of simplified atmospheric chemistry models. The work intends to enhance the research community's ability to study atmospheric chemistry and its role in air pollution and climate change by providing new tools and approaches for characterizing, utilizing, and comprehending complex chemical systems in the atmosphere.

Generated 1/7/24, 7:19 AM