Multi-model Bias Correction

Multi-Model Bias Correction is a bias correction framework that integrates and adjusts systematic errors across multiple models by leveraging their collective strengths and inter-model relationships to produce more accurate and reliable ensemble outputs.

18

Publications

1.3K

Citations

89

Authors

57

Institutions

Publications per year

2017–2026

12

Authors

89

  1. MA
    Mark A. Liniger

    Federal Office of Meteorology and Climatology MeteoSwiss, Switzerland

    2 publications · 427 citations

    2

    h-index

  2. MM
    Marat Mustyakimov

    Los Alamos National Laboratory, United States

    1 publications · 186 citations

    1

    h-index

  3. SM
    Steven M. Drucker

    Microsoft (United States), United States

    1 publications · 29 citations

    1

    h-index

  4. JM
    John-Paul Mutebi

    Centers for Disease Control and Prevention, United States

    1 publications · 37 citations

    1

    h-index

  5. RP
    R. Phani

    Indian Institute of Tropical Meteorology, India

    1 publications · 15 citations

    1

    h-index

1–5 of 89

Venues

  1. Journal of Hydrology

    2 publications · 148 citations

    2

    h-index

  2. Climate Dynamics

    2 publications · 68 citations

    2

    h-index

  3. Atmosphere

    1 publications · 49 citations

    1

    h-index

  4. Scientific Reports

    1 publications · 72 citations

    1

    h-index

  5. Resources Policy

    1 publications · 31 citations

    1

    h-index

1–5