Statistical Temperature Forecasting
Statistical Temperature Forecasting is a forecasting methodology that employs statistical models to predict future temperature values based on historical and observational data, distinguished from dynamical methods by its reliance on empirical relationships rather than physical laws of atmospheric dynamics.
62
Publications
2.3K
Citations
172
Authors
85
Institutions
Publications per year
2017–2026
18
Parents
62
1–5 of 62
172
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National Taiwan University of Science and Technology, Taiwan
1 publications · 157 citations
1
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1–5 of 172
85

Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
35 citations
NOAA National Weather Service
Silver Spring, United States
2 h-index
4 publications
635 citations
Indian Institute of Technology Delhi
New Delhi, India
2 h-index
2 publications
50 citations
National Taiwan University of Science and Technology
Taipei, Taiwan
2 h-index
4 publications
528 citations
Met Office
Exeter, United Kingdom
2 h-index
6 publications
186 citations
University of Tabriz
Tabriz, Iran
2 h-index
2 publications
194 citations
Fisheries and Oceans Canada
Ottawa, Canada
2 h-index
4 publications
88 citations

University of Tehran
Tehran, Iran
2 h-index
2 publications
136 citations
1–8 of 85
4 publications · 117 citations
4
h-index
3 publications · 112 citations
3
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2 publications · 123 citations
2
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2 publications · 223 citations
2
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2 publications · 264 citations
2
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1–5