Climate Data Homogenization

Climate Data Homogenization is a methodological process in climate data analysis that identifies and removes non-climatic biases and discontinuities in observational records to ensure temporal consistency and comparability across spatial and instrumental changes.

175

Publications

17.5K

Citations

549

Authors

271

Institutions

Publications per year

2017–2026

57

Variants

Climate Data Homogenisation

Authors

549

  1. ZY
    Zhongwei Yan

    Institute of Atmospheric Physics, China

    11 publications · 674 citations

    11

    h-index

  2. PD
    Péter Domonkos

    Universitat Rovira i Virgili, Spain

    10 publications · 374 citations

    10

    h-index

  3. MJ
    Matthew J. Menne

    NOAA National Centers for Environmental Information, United States

    9 publications · 3.4K citations

    9

    h-index

  4. LC
    Lijuan Cao

    China Meteorological Administration, China

    9 publications · 801 citations

    9

    h-index

  5. CN
    Claude N. Williams

    NOAA National Centers for Environmental Information, United States

    8 publications · 1.4K citations

    8

    h-index

1–5 of 549

Venues

  1. International Journal of Climatology

    58 publications · 5.6K citations

    35

    h-index

  2. Journal of Climate

    19 publications · 2.1K citations

    17

    h-index

  3. Earth system science data

    5 publications · 350 citations

    5

    h-index

  4. Climate of the past

    5 publications · 204 citations

    5

    h-index

  5. Advances in Atmospheric Sciences

    5 publications · 169 citations

    5

    h-index

1–5