Forecasting Model Evaluation

Forecasting Model Evaluation is a systematic method for assessing the accuracy, reliability, and generalizability of population health forecasting models by applying quantitative metrics and validation techniques to compare predicted outcomes against observed data.

1.3K

Publications

57.2K

Citations

4.8K

Authors

1.7K

Institutions

Publications per year

2017–2026

624

Authors

4.8K

  1. JD
    Jimy Dudhia

    NSF National Center for Atmospheric Research, United States

    8 publications · 2K citations

    8

    h-index

  2. CS
    Craig S. Schwartz

    NSF National Center for Atmospheric Research, United States

    7 publications · 1.8K citations

    7

    h-index

  3. VT
    Vijay Tallapragada

    NOAA Environmental Modeling Center

    6 publications · 264 citations

    6

    h-index

  4. CA
    Christopher A. Davis

    NSF National Center for Atmospheric Research, United States

    6 publications · 1.9K citations

    6

    h-index

  5. GG
    Georg Grell

    NOAA Earth System Research Laboratory, United States

    6 publications · 1.7K citations

    6

    h-index

1–5 of 4.8K

Venues

  1. Monthly Weather Review

    38 publications · 2.5K citations

    30

    h-index

  2. Weather and Forecasting

    27 publications · 1.6K citations

    22

    h-index

  3. Energies

    26 publications · 1.4K citations

    20

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 29 publications · 1.1K citations

    20

    h-index

  5. SSRN Electronic Journal

    Repository · 18 publications · 1.1K citations

    15

    h-index

1–5