This National Science Foundation (NSF) Project Grant award under the Geosciences Program (CFDA 47.050) provides $612,291 to the University of California, Davis (UC Davis) to develop a sophisticated artificial intelligence (AI) system to analyze satellite measurements and high-resolution ocean model outputs. The goal is to detect and measure ocean fronts, which are boundaries between water masses with different properties, and estimate the heat content of the ocean's upper mixed layer. The...
This $328,081 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will support research at Columbia University to understand the drivers of the extreme marine heatwaves that occurred globally in 2023. The project will use observational data, climate models, and artificial intelligence to investigate the roles of surface heat, clouds, and ocean currents in causing these marine heatwaves, which...
The National Science Foundation (NSF) awarded a $320,000 Project Grant under the Geosciences Program (CFDA 47.050) to the University of Delaware. The funding will support collaborative research to empower artificial intelligence (AI) to reveal phytoplankton community dynamics in coastal oceans. The project aims to address the scarcity of in-situ data for estuarine-coastal phytoplankton by constructing a large-scale database of phytoplankton observations, enabling global data sharing. It will...
The National Science Foundation (NSF) awarded a $660,984 Project Grant under the Geosciences program (CFDA 47.050) to Brown University. The grant, titled "CAIG: Navigating the Climate Science Deluge: Training Language Models to Assist in Comprehensive Assessments," aims to develop an artificial intelligence (AI) climate science chatbot assistant to help researchers more efficiently review and summarize the growing body of climate research literature. The project will create new methods...
This $420,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will develop a novel AI surrogate cyberinfrastructure for large-scale spatiotemporal simulations of coastal circulation. The project, led by the University of Florida, aims to train AI neural network models to rapidly generate coastal circulation simulations, enabling faster and more energy-efficient forecasting compared to...
This $193,500 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) funds the development and validation of an AI framework that can leverage a broad array of image data, including satellite, drone, and online imagery, to automate and accelerate the generation of interpretable environmental science hypotheses at a planetary scale. The overarching goal is to overcome limitations of traditional...
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...
The National Science Foundation awarded a $747,174 Project Grant to the Monterey Bay Aquarium Research Institute under the Integrative Activities federal grant program (CFDA 47.083). The award period is from October 1, 2021 to September 30, 2022. Through this funding, Mbari will develop algorithms to analyze video observations of ocean life from the FathomNet data repository. Cvision AI and the University of California, Santa Cruz will provide expertise and services as sub-awardees. Cvision AI...
The National Science Foundation (NSF) awarded a $752,656 Project Grant under its Geosciences (CFDA 47.050) program to San Diego State University (SDSU) Foundation. This 4-year award from September 2023 to August 2027 will expand the AI Institute for Research on Trustworthy AI in Weather, Climate and Coastal Oceanography (AI2ES) partnership between SDSU, University of California Irvine, and two Hispanic-Serving Institutions. The project will scale up existing AI research and education programs at...
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...