Icing Validation
Icing Validation is a scientific method in meteorological research that systematically assesses the accuracy and reliability of icing forecasts by comparing predicted icing conditions against observed or measured icing events using standardized metrics and observational datasets.
62
Publications
1.9K
Citations
177
Authors
56
Institutions
Publications per year
2017–2026
12
Parents
62
Study on small wind turbine icing and its performance
Lichun Shu, Jian Liang, Qin Hu et al. · Cold Regions Science and Technology · 2016 · 79 citations
1–5 of 62
177
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NSF National Center for Atmospheric Research, United States
4 publications · 157 citations
4
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3
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3
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3
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1–5 of 177
56

Glenn Research Center
Cleveland, United States
13 h-index
26 publications
706 citations
Cox & Company (United States)
Plainview, United States
3 h-index
6 publications
212 citations
Environment and Climate Change Canada
Ottawa, Canada
3 h-index
5 publications
70 citations
NOAA Pacific Marine Environmental Laboratory
Seattle, United States
2 h-index
4 publications
223 citations
UiT The Arctic University of Norway
Tromsø, Norway
2 h-index
4 publications
96 citations
Technical University of Denmark
Kongens Lyngby, Denmark
2 h-index
6 publications
314 citations
Ohio Aerospace Institute
Cleveland, United States
2 h-index
3 publications
40 citations

Chongqing University
Chongqing, China
2 h-index
10 publications
522 citations
1–8 of 56
9 publications · 359 citations
9
h-index
3 publications · 121 citations
3
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2 publications · 80 citations
2
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2 publications · 59 citations
2
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Repository · 2 publications · 26 citations
2
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1–5