Nonlinear Bias Correction

Nonlinear Bias Correction is a bias correction method that specifically addresses systematic errors through nonlinear transformations, distinguishing itself from linear approaches by modeling complex, non-additive relationships between biased and reference data.

94

Publications

7.4K

Citations

293

Authors

209

Institutions

Publications per year

2017–2026

26

Authors

293

  1. GM
    Gauss M. Cordeiro

    Universidade Federal de Pernambuco, Brazil

    3 publications · 67 citations

    3

    h-index

  2. JA
    Jason A. Otkin

    University of Wisconsin–Madison, United States

    3 publications · 114 citations

    3

    h-index

  3. PR
    Paul Rilstone

    York University, Canada

    2 publications · 162 citations

    2

    h-index

  4. SZ
    Shou Zheng Tang

    Chinese Academy of Forestry, China

    2 publications · 67 citations

    2

    h-index

  5. WS
    Wei Sheng Zeng

    Chinese Academy of Forestry, China

    3 publications · 81 citations

    2

    h-index

1–5 of 293

Venues

  1. The Astrophysical Journal

    ApJ · 5 publications · 276 citations

    5

    h-index

  2. Journal of Econometrics

    4 publications · 383 citations

    4

    h-index

  3. Climate Dynamics

    3 publications · 88 citations

    3

    h-index

  4. 3

    h-index

  5. Monthly Weather Review

    2 publications · 93 citations

    2

    h-index

1–5