Extreme Weather Analytics
Extreme Weather Analytics is a subfield of Climate Informatics that specifically involves the development and application of computational methods, models, and frameworks to detect, predict, and analyze rare and high-impact meteorological events, distinguishing it from broader climate analysis through its focus on the statistical extremes and anomalous patterns in weather data.
36
Publications
2.4K
Citations
156
Authors
91
Institutions
Publications per year
2017–2026
23
Parents
36
Shahaboddin Shamshirband, Kasra Mohammadi, Dalibor Petković et al. · Renewable and Sustainable Energy Reviews · 2015 · 130 citations
1–5 of 36
156
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NSF National Center for Atmospheric Research, United States
3 publications · 67 citations
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2
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2
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2
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1–5 of 156
91
Stanford University
Stanford, United States
2 h-index
3 publications
172 citations
Colorado State University
Fort Collins, United States
2 h-index
3 publications
215 citations
University of Nis
Niš, Serbia
2 h-index
3 publications
396 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
2 h-index
15 publications
1.3K citations

NSF National Center for Atmospheric Research
Boulder, United States
2 h-index
4 publications
958 citations
University of Malaya
Kuala Lumpur, Malaysia
2 h-index
5 publications
659 citations

University of Kashan
Kāshān, Iran
2 h-index
2 publications
263 citations
University of California San Diego
San Diego, United States
1 h-index
2 publications
192 citations
1–8 of 91
Repository · 2 publications · 32 citations
2
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2 publications · 101 citations
2
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2 publications · 132 citations
2
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1 publications · 62 citations
1
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1 publications · 65 citations
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