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Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences

Bulletin of the American Meteorological Society, 2021-05, Vol.102 (5), p.E1016-E1032 [Peer Reviewed Journal]

2021 American Meteorological Society ;Copyright American Meteorological Society May 2021 ;ISSN: 0003-0007 ;EISSN: 1520-0477 ;DOI: 10.1175/bams-d-20-0031.1

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Title:
Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences
Author: Boukabara, Sid-Ahmed ; Krasnopolsky, Vladimir ; Penny, Stephen G. ; Stewart, Jebb Q. ; McGovern, Amy ; Hall, David ; Ten Hoeve, John E. ; Hickey, Jason ; Huang, Hung-Lung Allen ; Williams, John K. ; Ide, Kayo ; Tissot, Philippe ; Haupt, Sue Ellen ; Casey, Kenneth S. ; Oza, Nikunj ; Geer, Alan J. ; Maddy, Eric S. ; Hoffman, Ross N.
Subjects: Artificial intelligence ; Collaboration ; Conferences ; Data assimilation ; Decision making ; Earth ; Earth observations (from space) ; Earth science ; Environmental science ; Experts ; Exploitation ; Internet of Things ; Numerical prediction ; Remote sensing ; Satellite observation ; Satellites ; Scientists ; Value chain ; Weather ; Weather forecasting ; Workshops
Is Part Of: Bulletin of the American Meteorological Society, 2021-05, Vol.102 (5), p.E1016-E1032
Description: Promising new opportunities to apply artificial intelligence (AI) to the Earth and environmental sciences are identified, informed by an overview of current efforts in the community. Community input was collected at the first National Oceanic and Atmospheric Administration (NOAA) workshop on “Leveraging AI in the Exploitation of Satellite Earth Observations and Numerical Weather Prediction” held in April 2019. This workshop brought together over 400 scientists, program managers, and leaders from the public, academic, and private sectors in order to enable experts involved in the development and adaptation of AI tools and applications to meet and exchange experiences with NOAA experts. Paths are described to actualize the potential of AI to better exploit the massive volumes of environmental data from satellite and in situ sources that are critical for numerical weather prediction (NWP) and other Earth and environmental science applications. The main lessons communicated from community input via active workshop discussions and polling are reported. Finally, recommendations are presented for both scientists and decision-makers to address some of the challenges facing the adoption of AI across all Earth science.
Publisher: Boston: American Meteorological Society
Language: English
Identifier: ISSN: 0003-0007
EISSN: 1520-0477
DOI: 10.1175/bams-d-20-0031.1
Source: Alma/SFX Local Collection
ProQuest Central

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Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences

2021 American Meteorological Society ;Copyright American Meteorological Society May 2021 ;ISSN: 0003-0007 ;EISSN: 1520-0477 ;DOI: 10.1175/bams-d-20-0031.1

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