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

Authors

150

  1. AG
    Anthony G. Barnston

    NOAA National Centers for Environmental Prediction, United States

    3 publications · 164 citations

    3

    h-index

  2. SJ
    Simon J. Mason

    Columbia University, United States

    2 publications · 127 citations

    2

    h-index

  3. HM
    Huug M. van den Dool

    NOAA National Centers for Environmental Prediction, United States

    2 publications · 127 citations

    2

    h-index

  4. SW
    Shouyang Wang

    Chinese Academy of Sciences, China

    2 publications · 38 citations

    2

    h-index

  5. UL
    Upmanu Lall

    Columbia University, United States

    2 publications · 101 citations

    2

    h-index

1–5 of 150

Venues

  1. Journal of Climate

    7 publications · 556 citations

    7

    h-index

  2. SSRN Electronic Journal

    Repository · 2 publications · 77 citations

    2

    h-index

  3. Energies

    2 publications · 36 citations

    2

    h-index

  4. Management Science

    2 publications · 71 citations

    2

    h-index

  5. Weather and Forecasting

    2 publications · 371 citations

    2

    h-index

1–5