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Data · dataset · 2026

Outlook for exploiting artificial intelligence in the earth and environmental sciences

Listed in National Center for Atmospheric Research

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.

Description

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.

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Catalogue records · 1

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Inferred from text
Geoinformatics 73%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Research5c243f53-0245-4022-9ef1-bd35ca14181910 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3704enrichment · data ucar edutaxonomy-embedding@1.1.0title+keywords+description (73%)
concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0