Cross-validation Of Forecasts
Cross-Validation of Forecasts is a systematic evaluation method in forecast verification that iteratively partitions observational data into training and testing subsets to assess the predictive performance of a forecasting model while minimizing overfitting and ensuring generalizability.
57
Publications
3.5K
Citations
150
Authors
110
Institutions
Publications per year
2017–2026
22
Parents
57
Assessing Forecast Skill through Cross Validation
James B. Elsner, Carl P. Schmertmann · Weather and Forecasting · 1994 · 152 citations · Full text
Computing, Meteorology, Forecasting +16
Artificial Skill due to Predictor Screening
Timothy DelSole, J. Shukla · Journal of Climate · 2008 · 140 citations · Full text
1–5 of 57
150
NOAA National Centers for Environmental Prediction, United States
3 publications · 164 citations
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NOAA National Centers for Environmental Prediction, United States
2 publications · 127 citations
2
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2
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2
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1–5 of 150
110
Columbia University
New York, United States
3 h-index
6 publications
329 citations
Cooperative Institute for Research in Environmental Sciences
Boulder, United States
2 h-index
4 publications
381 citations
National Oceanic and Atmospheric Administration
Washington, United States
2 h-index
6 publications
904 citations
Texas A&M University
College Station, United States
2 h-index
2 publications
61 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
3 publications
464 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
87 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
2 h-index
3 publications
272 citations
Academy of Mathematics and Systems Science
Beijing, China
2 h-index
5 publications
87 citations
1–8 of 110
7 publications · 556 citations
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Repository · 2 publications · 77 citations
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2 publications · 36 citations
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2 publications · 71 citations
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2 publications · 371 citations
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