Project Grant 2244984

Award Date 3/15/23
Completion Date 2/28/26
Dollars Obligated $500K
Federal Grant Program
47.050
Assistance Type
Project Grant
Place of Performance
University City, MO 63130, USA
Similar Awards
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 $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 $526,119 Project Grant awarded by the National Science Foundation (NSF) Geosciences program on February 15, 2024 will support research by the University of California, Berkeley to develop new scale-aware turbulence parameterizations for high-resolution weather prediction models. The goal is to improve the accuracy of weather and regional climate forecasts in the "gray zone" between 1-10 km grid resolutions, where traditional modeling approaches break down. The research aims to...
This $399,162 Project Grant was awarded by the National Science Foundation (NSF) under the Geosciences program (CFDA 47.050) on November 15, 2024. The project aims to develop machine learning (ML) "surrogate models" to increase the computational speed and accessibility of geophysical models used for studying air pollution and climate. The research will focus on three main thrusts: 1) creating ML surrogate models for atmospheric chemistry, 2) developing ML models for wildfire plume...
This three-year Project Grant from the National Science Foundation Division of Atmospheric and Geospace Sciences, under the Geosciences federal grant program (CFDA 47.050), provides $718,313 to further develop the GEOS-Chem atmospheric chemistry modeling capability within the NCAR Community Earth System Model (CESM) and apply it to better understand ozone air quality and aviation impacts. Specifically, the awardee will modularize key GEOS-Chem components for deployment in CESM and 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 Project Grant, awarded by the National Science Foundation (NSF) Division of Atmospheric and Geospace Sciences under the Geosciences program (CFDA 47.050), supports experimental and theoretical research to improve understanding of the dry deposition velocity of particles in the atmosphere. The $432,369.00 award to North Carolina State University will fund the following key activities over a 3-year period from August 1, 2023 to July 31, 2026: Conduct chamber measurements to assess the effects...
This three-year, $619,592 National Science Foundation project grant will fund the development of a multiscale model to predict the evolution of atmospheric soot particles through restructuring processes. Awarded under the Geosciences program (CFDA 47.050), the grant supports basic research to advance modeling of how soot particle properties change after emission via contact with trace gases and water vapor in the atmosphere. The grantee, New Jersey Institute of Technology, will develop a...
This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award of $300,000 to the Massachusetts Institute of Technology (MIT) aims to develop interpretable, stable, and mass-conserving artificial intelligence (AI) models to improve computational efficiency and accessibility of air pollution and climate modeling. The key products and services to be delivered under this 3-year award include: Creating "surrogate models" using machine learning to accelerate...

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 chemistry, emission segregation, and errors in simulated air quality trends. This work under the Geosciences program (CFDA 47.050) aims to strengthen understanding of the integrated Earth system through basic research in atmospheric sciences. The knowledge gained will enhance simulation of smaller-scale atmospheric chemistry phenomena and increase confidence in high-resolution models, supporting more community research relevant to local and regional air quality issues.

Generated 1/6/24, 6:24 PM