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.
Authors
- E. Anders Kiledal (ORCID: https://orcid.org/0000-0003-4565-2187)
- Hazem U. Abdelhady (ORCID: https://orcid.org/0009-0002-5733-9454)
- Daniel C. Jones (ORCID: https://orcid.org/0000-0002-8701-4506)
- Andrea Vander Woude (ORCID: https://orcid.org/0000-0003-1568-0873)
- Scott Steinschneider (ORCID: https://orcid.org/0000-0002-8882-1908)
- Paul J. Roebber (ORCID: https://orcid.org/0000-0002-9093-0433)
- Nathan Fox (ORCID: https://orcid.org/0000-0002-2816-9751)
- Sage Osborne
- William Pringle (ORCID: https://orcid.org/0000-0002-2877-4812)
- Lacey A. Mason (ORCID: https://orcid.org/0000-0003-1541-3134)
- Alisa H. Young
- Mantha S. Phanikumar (ORCID: https://orcid.org/0000-0001-9206-3129)
- Lauren M. Fry (ORCID: https://orcid.org/0000-0002-5480-5408)
- Yi Hong (ORCID: https://orcid.org/0000-0003-3122-0172)
- Jia Wang (ORCID: https://orcid.org/0000-0003-4154-9721)
- William S. Currie (ORCID: https://orcid.org/0000-0003-1975-0808)
- Andrew D. Gronewold (ORCID: https://orcid.org/0000-0002-3576-2529)
- S. Newell (ORCID: https://orcid.org/0000-0002-9227-4978)
- Lindsay E. Fitzpatrick (ORCID: https://orcid.org/0000-0002-7570-6142)
Institutions
- 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)
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