Adaptive Bias Correction

Adaptive Bias Correction is a methodological framework within bias correction that dynamically adjusts correction parameters in response to evolving data distributions or model predictions, thereby distinguishing itself from static or fixed correction approaches.

44

Publications

3.5K

Citations

137

Authors

85

Institutions

Publications per year

2017–2026

14

Authors

137

  1. AP
    A. P. McNally

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    2 publications · 427 citations

    2

    h-index

  2. ST
    Sergio Torres

    University of Concepción, Chile

    2 publications · 192 citations

    2

    h-index

  3. MM
    Majeed M. Hayat

    University of New Mexico, United States

    2 publications · 192 citations

    2

    h-index

  4. TA
    Thomas Auligné

    NSF National Center for Atmospheric Research, United States

    2 publications · 427 citations

    2

    h-index

  5. JT
    Jonathan Taylor

    Stanford University, United States

    2 publications · 52 citations

    2

    h-index

1–5 of 137

Venues

  1. 4

    h-index

  2. The Journal of Chemical Physics

    3 publications · 510 citations

    3

    h-index

  3. 2

    h-index

  4. Journal of the Optical Society of America A

    2 publications · 192 citations

    2

    h-index

  5. Atmospheric Pollution Research

    1 publications · 12 citations

    1

    h-index

1–5