Mapping Out How Machine Learning and Artificial Intelligence Will Change Great Lakes Observations, Modeling, and Forecasting in the Coming Decade

"Mapping out how machine learning and artificial intelligence will change Great Lakes observations, modeling, and forecasting in the coming decade" published on 26 Dec 2024 by American Meteorological Society.

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Publication Details

Journal
Bulletin of the American Meteorological Society
Published
2024-12-26
DOI
https://doi.org/10.1175/bams-d-24-0304.1
Citations
1
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.28
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article

Mapping Out How Machine Learning and Artificial Intelligence Will Change Great Lakes Observations, Modeling, and Forecasting in the Coming Decade

E. Anders Kiledal, Hazem U. Abdelhady, Daniel C. Jones, Andrea Vander Woude et al.
1 citations
Bulletin of the American Meteorological Society
Flood Risk Assessment and Management
0.28
article

Mapping Out How Machine Learning and Artificial Intelligence Will Change Great Lakes Observations, Modeling, and Forecasting in the Coming Decade

E. Anders Kiledal, Hazem U. Abdelhady, Daniel C. Jones, Andrea Vander Woude, Scott Steinschneider, Paul J. Roebber, Nathan Fox, Sage Osborne, William Pringle, Lacey A. Mason, Alisa H. Young, Mantha S. Phanikumar, Lauren M. Fry, Yi Hong, Jia Wang, William S. Currie, Andrew D. Gronewold, S. Newell, Lindsay E. Fitzpatrick
article en
1 citations

Abstract

No abstract available for this paper.

Bulletin of the American Meteorological SocietyVol. 106(2)
Argonne National Laboratory (US), Association for Asian Studies (US), Cornell University (US), University of Michigan (US), NOAA Pacific Marine Environmental Laboratory (US), Michigan Sea Grant (US), University of Wisconsin–Milwaukee (US), NOAA Great Lakes Environmental Research Laboratory (US), Michigan State University (US)
Climate action
Openalex Percentile: Top 39%
Flood Risk Assessment and Management
0.28
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