NSF AI institute for research on trustworthy AI in weather, climate, and coastal oceanography (AI2ES)

We introduce the National Science Foundation (NSF) AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES). This AI institute was funded in 2020 as part of a new initiative from the NSF to advance foundational AI research across a wide variety of domains. To date AI2ES is the only NSF AI institute focusing on environmental science applications. Our institute focuses on developing trustworthy AI methods for weather, climate, and coastal hazards. The AI methods will revolutionize our understanding and prediction of high-impact atmospheric and ocean science phenomena and will be utilized by diverse, professional user groups to reduce risks to society. In addition, we are creating novel educational paths, including a new degree program at a community college serving underrepresented minorities, to improve workforce diversity for both AI and environmental science.

To Access Resource:

Questions? Email Resource Support Contact:

  • opensky@ucar.edu
    UCAR/NCAR - Library

Resource Type publication
Temporal Range Begin N/A
Temporal Range End N/A
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format PDF
Standardized Resource Format PDF
Asset Size N/A
Legal Constraints

Copyright 2022 American Meteorological Society (AMS).


Access Constraints None
Software Implementation Language N/A

Resource Support Name N/A
Resource Support Email opensky@ucar.edu
Resource Support Organization UCAR/NCAR - Library
Distributor N/A
Metadata Contact Name N/A
Metadata Contact Email opensky@ucar.edu
Metadata Contact Organization UCAR/NCAR - Library

Author McGovern, Amy
Bostrom, Ann
Davis, Phillip
Demuth, Julie L.
Ebert-Uphoff, Imme
He, Ruoying
Hickey, Jason
Gagne II, David John
Snook, Nathan
Stewart, Jebb Q.
Thorncroft, Christopher
Tissot, Philippe
Williams, John K.
Publisher UCAR/NCAR - Library
Publication Date 2022-07-01T00:00:00
Digital Object Identifier (DOI) Not Assigned
Alternate Identifier N/A
Resource Version N/A
Topic Category geoscientificInformation
Progress N/A
Metadata Date 2023-08-18T18:41:07.337741
Metadata Record Identifier edu.ucar.opensky::articles:25786
Metadata Language eng; USA
Suggested Citation McGovern, Amy, Bostrom, Ann, Davis, Phillip, Demuth, Julie L., Ebert-Uphoff, Imme, He, Ruoying, Hickey, Jason, Gagne II, David John, Snook, Nathan, Stewart, Jebb Q., Thorncroft, Christopher, Tissot, Philippe, Williams, John K.. (2022). NSF AI institute for research on trustworthy AI in weather, climate, and coastal oceanography (AI2ES). UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7wd44cf. Accessed 20 June 2025.

Harvest Source