Statistical Downscaling
Statistical Downscaling is a modeling technique in environmental data analysis that belongs to the class of downscaling methods and is distinguished by its use of statistical relationships derived from observed data to infer local-scale climate variables from large-scale atmospheric model outputs.
1.4K
Publications
100K
Citations
4.2K
Authors
1.4K
Institutions
Publications per year
2017–2026
540
Parents
1.4K
1–5 of 1.4K
4.2K
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Laboratoire des Sciences du Climat et de l'Environnement, France
26 publications · 5K citations
25
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17
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16
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15
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1–5 of 4.2K
1.4K

Centre National de la Recherche Scientifique
Paris, France
38 h-index
162 publications
21.2K citations

Chinese Academy of Sciences
Beijing, China
37 h-index
213 publications
11.1K citations

Universidad de Cantabria
Santander, Spain
32 h-index
138 publications
13.5K citations
Instituto de Física de Cantabria
Santander, Spain
29 h-index
68 publications
7.2K citations
Environment and Climate Change Canada
Ottawa, Canada
27 h-index
74 publications
4.3K citations
University of Chinese Academy of Sciences
Beijing, China
26 h-index
70 publications
4K citations
Laboratoire des Sciences du Climat et de l'Environnement
Gif-sur-Yvette, France
24 h-index
44 publications
9.1K citations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
22 h-index
40 publications
5.2K citations
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122 publications · 10.1K citations
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50 publications · 6.1K citations
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52 publications · 4.6K citations
39
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65 publications · 3.2K citations
36
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61 publications · 3.6K citations
35
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