Temperature Anomaly Forecasting
Temperature Anomaly Forecasting is a predictive modeling task within climate and meteorological science that involves estimating deviations of future temperature values from their long-term historical averages, distinguishing it from general temperature forecasting by focusing specifically on anomalous departures rather than absolute temperature levels.
41
Publications
1.8K
Citations
136
Authors
91
Institutions
Publications per year
2017–2026
15
Parents
41
Anthony G. Barnston, Yuxiang He, Michael H. Glantz · Bulletin of the American Meteorological Society · 1999 · 330 citations
Reuters Sentiment and Stock Returns
Matthias Uhl · Journal of Behavioral Finance · 2014 · 97 citations
1–5 of 41
136
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NSF National Center for Atmospheric Research, United States
2 publications · 28 citations
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2
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2
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1–5 of 136
91
Met Office
Exeter, United Kingdom
3 h-index
7 publications
400 citations
NOAA Climate Prediction Center
College Park, United States
2 h-index
3 publications
65 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
97 citations
NOAA National Centers for Environmental Prediction
College Park, United States
2 h-index
3 publications
65 citations
George Mason University
Fairfax, United States
2 h-index
3 publications
49 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
146 citations
University of Reading
Reading, United Kingdom
2 h-index
6 publications
176 citations
Ministry of Natural Resources
Beijing, China
2 h-index
6 publications
246 citations
1–8 of 91
4 publications · 111 citations
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4 publications · 101 citations
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3 publications · 158 citations
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2 publications · 161 citations
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2 publications · 34 citations
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