Advancing Earth System Science with and for the Community: Shaping NSF NCAR’s AI Strategy

Jadwiga H. Richter; Leigh Harney; Rebecca Haacker; John Clyne; Mariana Cains; Nihanth Cherukuru; Riley Conroy; Katelyn Fitzgerald; Monica Morrison; Alma Roux; Scott Swerdlin

doi:10.1175/BAMS-D-26-0202.1

Advancing Earth System Science with and for the Community: Shaping NSF NCAR’s AI Strategy

Jadwiga H. Richter
, Leigh Harney
, Rebecca Haacker
, John Clyne
, Mariana Cains
, Nihanth Cherukuru
, Riley Conroy
, Katelyn Fitzgerald
, Monica Morrison
, Alma Roux
, Scott Swerdlin

National Center for Atmospheric Research

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

2026 NSF NCAR AI Community Workshop What: We hosted a community workshop consisting of 12 virtual sessions soliciting needs, priorities, and ideas for artificial intelligence and machine learning in Earth system science from the broader research and academic community and the commercial sector. A total of 392 participants attended one or more sessions. Topics covered included Earth System Science with AI, AI-Enabled Modeling & Tools, AI-Ready Data and Cyberinfrastructure, Responsible and Reliable AI Practices, Benchmarking and Evaluation, and Community and Workforce Development. When: 20–29 April 2026 Where: Online.

Original language	English
Pages (from-to)	E1783-E1791
Journal	Bulletin of the American Meteorological Society
Volume	107
Issue number	8
DOIs	https://doi.org/10.1175/BAMS-D-26-0202.1
State	Published - Aug 2026

Keywords

Artificial intelligence
Community
Data science
Education
Machine learning
Model evaluation/ performance

Access to Document

10.1175/BAMS-D-26-0202.1

Cite this

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abstract = "2026 NSF NCAR AI Community Workshop What: We hosted a community workshop consisting of 12 virtual sessions soliciting needs, priorities, and ideas for artificial intelligence and machine learning in Earth system science from the broader research and academic community and the commercial sector. A total of 392 participants attended one or more sessions. Topics covered included Earth System Science with AI, AI-Enabled Modeling \& Tools, AI-Ready Data and Cyberinfrastructure, Responsible and Reliable AI Practices, Benchmarking and Evaluation, and Community and Workforce Development. When: 20{\textendash}29 April 2026 Where: Online.",

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AU - Clyne, John

AU - Cains, Mariana

AU - Cherukuru, Nihanth

AU - Conroy, Riley

AU - Fitzgerald, Katelyn

AU - Morrison, Monica

AU - Roux, Alma

AU - Swerdlin, Scott

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KW - Artificial intelligence

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KW - Data science

KW - Education

KW - Machine learning

KW - Model evaluation/ performance

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Advancing Earth System Science with and for the Community: Shaping NSF NCAR’s AI Strategy

Abstract

Keywords

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