Climate Pattern Recognition
Climate Pattern Recognition is a computational methodology within climate informatics that distinguishes itself by identifying and characterizing recurring spatiotemp editorial structures and anomalies in climate data through algorithmic detection and statistical learning techniques.
60
Publications
3.6K
Citations
191
Authors
121
Institutions
Publications per year
2017–2026
34
Parents
60
Viewing Forced Climate Patterns Through an AI Lens
Elizabeth A. Barnes, James W. Hurrell, Imme Ebert‐Uphoff et al. · Geophysical Research Letters · 2019 · 189 citations · Full text
1–5 of 60
191
NSF National Center for Atmospheric Research, United States
1 publications · 189 citations
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2
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1
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1
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1–5 of 191
121

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
3 h-index
6 publications
1.4K citations

Potsdam Institute for Climate Impact Research
Potsdam, Germany
3 h-index
9 publications
288 citations
Colorado State University
Fort Collins, United States
2 h-index
3 publications
567 citations

Bureau of Meteorology
Melbourne, Australia
2 h-index
4 publications
291 citations

Monash University
Melbourne, Australia
2 h-index
3 publications
208 citations
Laboratoire des Sciences du Climat et de l'Environnement
Gif-sur-Yvette, France
2 h-index
4 publications
191 citations
University of Washington
Seattle, United States
2 h-index
4 publications
555 citations

The Open University
Milton Keynes, United Kingdom
2 h-index
2 publications
47 citations
1–8 of 121
4 publications · 214 citations
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2 publications · 202 citations
3
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3 publications · 197 citations
3
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2 publications · 204 citations
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2 publications · 146 citations
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