Multi-model Forecasting

Multi-Model Forecasting is a forecasting methodology that integrates predictions from multiple independent numerical weather prediction models to improve forecast accuracy and reliability by leveraging inter-model diversity and reducing systematic biases inherent in individual models.

412

Publications

21.8K

Citations

2K

Authors

717

Institutions

Publications per year

2017–2026

211

Variants

Multi-model Forecast

Authors

2K

  1. FJ
    Francisco J. Doblas‐Reyes

    Institució Catalana de Recerca i Estudis Avançats, Spain

    25 publications · 3.8K citations

    20

    h-index

  2. TN
    T. N. Krishnamurti

    Florida State University, United States

    10 publications · 1K citations

    10

    h-index

  3. TN
    T. N. Palmer

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    9 publications · 3.1K citations

    9

    h-index

  4. RH
    Renate Hagedorn

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    7 publications · 2.6K citations

    7

    h-index

  5. NA
    Nachiketa Acharya

    Indian Institute of Technology Delhi, India

    7 publications · 189 citations

    7

    h-index

1–5 of 2K

Venues

  1. Tellus A Dynamic Meteorology and Oceanography

    20 publications · 2.2K citations

    17

    h-index

  2. Climate Dynamics

    23 publications · 1.3K citations

    17

    h-index

  3. Geophysical Research Letters

    19 publications · 1.2K citations

    15

    h-index

  4. 14

    h-index

  5. International Journal of Climatology

    10 publications · 402 citations

    10

    h-index

1–5