Project Grant 80NSSC24K0763

This Project Grant award from the National Science Foundation (NSF) Division of Ocean Sciences under the Geosciences program (CFDA 47.050) provides $517,526 to The Trustees of Columbia University in the City of New York to quantify uncertainties in air-sea CO2 flux variability and the background ocean carbon sink, and determine data requirements to reduce these uncertainties. Key objectives include: 1) Quantifying regional-scale uncertainties in the background ocean carbon sink using a...

This Project Grant award from the National Science Foundation (NSF) Division of Atmospheric and Geospace Sciences, under the Geosciences program (CFDA 47.050), will support a collaborative research effort totaling $559,349 over 3 years to better understand the thermal balance of Earth's upper atmosphere. The key products and services to be delivered include: Laser-based laboratory studies of collisions between carbon dioxide (CO2) and atomic oxygen to measure the rate and temperature...

This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) CAREER award, totaling $324,608 and running from August 1, 2025 through July 31, 2030, funds research to develop physics-informed machine learning (ML) computational methods that improve predictability in atmospheric chemistry. The University of Southern California will conduct fundamental investigations into biosphere-atmosphere interactions, with particular focus on quantifying uncertainties in how the plant biosphere...

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,...

CAREER: AI for the Digital Planet – Advancing Machine Learning for Satellite Remote Sensing Arizona State University received a $344,819 project grant from the National Science Foundation's Division of Information and Intelligent Systems (CISE Program, CFDA 47.070) beginning July 1, 2025, and concluding June 30, 2030. This CAREER award supports fundamental machine learning research designed to advance the analysis and application of satellite remote sensing data. The project will deliver four...

This Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $650,869 to Georgia Tech Research Corporation from August 1, 2022 to July 31, 2025. The funding supports research and development of a seismic monitoring methodology for underground carbon dioxide storage reservoirs. Specifically, the awardee will develop a system combining time-lapse seismic imaging, physical...

This National Science Foundation Project Grant of $730,524 will fund the development of new statistical methods for computer-assisted inversion to improve analysis of global remote sensing data from July 2022 to June 2025. Under the Mathematical and Physical Sciences program (CFDA 47.049), Trustees of Boston University will receive funding to advance the transformation of satellite-based remotely sensed data into useful climate and geophysical information. Specifically, the grantee will...

This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $449,321 to the University of California, Santa Cruz (UCSC) to develop AI-based atmospheric emulators that can reliably model climate change and extreme weather events. The project aims to create physically-consistent and numerically stable deep learning models to simulate atmospheric dynamics at a fraction of the computational cost of...

This National Science Foundation project grant of $582,172 will fund the development of optical classification models for ambient aerosols using machine learning. Awarded under the Geosciences program of the Division of Atmospheric and Geospace Sciences, this three-year project beginning March 2022 aims to build tools that can differentiate aerosol types based on measured optical properties without prior assumptions. The University of Georgia Research Foundation will receive funding to...

This National Science Foundation (NSF) Geosciences program Project Grant award of $122,152 to the CSU Fullerton Auxiliary Services Corporation (CSU Fullerton ASC) will fund the acquisition of a carbon dioxide and methane cavity ringdown spectrometer. This instrumentation will support research and educational activities to promote a better understanding of the carbon cycle and how carbon is converted into different materials across Earth's atmosphere, biosphere, hydrosphere, and geosphere. The...