Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences

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  • 1 NOAA/NESDIS/Center for Satellite Applications and Research (STAR), College Park, Maryland
  • 2 NOAA Environmental Modeling Center (EMC), College Park, Maryland
  • 3 Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado Boulder, and Physical Sciences Division (PSD) of the NOAA Earth System Research Laboratories (ESRL), Boulder, Colorado
  • 4 NOAA Earth System Research Laboratories (ESRL), Boulder, Colorado
  • 5 School of Computer Science, University of Oklahoma, Norman, Oklahoma
  • 6 NVIDIA Corporation, Lafayette, Colorado
  • 7 NOAA National Weather Service (NWS), Silver Spring, Maryland
  • 8 Google Research, Kirkland, Washington
  • 9 Space Science and Engineering Center, University of Wisconsin, Madison, Wisconsin
  • 10 The Weather Company, an IBM Business, Andover, Massachusetts
  • 11 University of Maryland, College Park, Maryland
  • 12 Conrad Blucher Institute, Texas A & M University-Corpus Christi, Corpus Christi, Texas
  • 13 NCAR, Research Applications Laboratory (RAL), Boulder, Colorado
  • 14 NOAA/NESDIS National Centers for Environmental Information (NCEI), Silver Spring, Maryland
  • 15 Data Sciences Group, NASA Ames Research Center, Moffett Field, California
  • 16 ECMWF, Shinfield Park, Reading, United Kingdom
  • 17 Riverside Technology Inc. (RTi) at NOAA/NESDIS/Center for Satellite Applications and Research (STAR), College Park, Maryland
  • 18 Cooperative Institute for Satellite Earth System Studies (CISESS), University of Maryland, at NOAA/NESDIS/Center for Satellite Applications and Research (STAR), College Park, Maryland
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Capsule Summary

Current research applying artificial intelligence to the Earth and environmental sciences is progressing quickly, with emerging developments in terms of efficiency, accuracy, and discovery.

The authors are members of the Scientific and/or Local Organizing Committees of the NOAA workshop on “Leveraging AI in the Exploitation of Satellite Earth Observations & Numerical Weather Prediction”.

Corresponding author address: Dr. Sid-Ahmed Boukabara, 5830 University Research Court, Suite 2617, College Park, Maryland, 20740. E-mail: sid.boukabara@noaa.gov

Capsule Summary

Current research applying artificial intelligence to the Earth and environmental sciences is progressing quickly, with emerging developments in terms of efficiency, accuracy, and discovery.

The authors are members of the Scientific and/or Local Organizing Committees of the NOAA workshop on “Leveraging AI in the Exploitation of Satellite Earth Observations & Numerical Weather Prediction”.

Corresponding author address: Dr. Sid-Ahmed Boukabara, 5830 University Research Court, Suite 2617, College Park, Maryland, 20740. E-mail: sid.boukabara@noaa.gov
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