Climate Data Quality Control

Climate Data Quality Control is a systematic methodological process within climate data analysis that ensures the accuracy, consistency, and reliability of climate observations by detecting, correcting, or eliminating errors, biases, and anomalies in observational datasets.

114

Publications

8.6K

Citations

609

Authors

260

Institutions

Publications per year

2017–2026

54

Authors

609

  1. MK
    Mike Kendon

    Met Office, United Kingdom

    7 publications · 474 citations

    7

    h-index

  2. MM
    Mark McCarthy

    Met Office, United Kingdom

    7 publications · 474 citations

    7

    h-index

  3. SJ
    Svetlana Jevrejeva

    National Oceanography Centre, United Kingdom

    7 publications · 474 citations

    7

    h-index

  4. AM
    Andrew Matthews

    National Oceanography Centre, United Kingdom

    7 publications · 474 citations

    7

    h-index

  5. RS
    Russell S. Vose

    NOAA National Centers for Environmental Information, United States

    6 publications · 1.8K citations

    6

    h-index

1–5 of 609

Venues

  1. Bulletin of the American Meteorological Society

    BAMS · 15 publications · 1.7K citations

    14

    h-index

  2. International Journal of Climatology

    13 publications · 886 citations

    12

    h-index

  3. Journal of Atmospheric and Oceanic Technology

    7 publications · 310 citations

    7

    h-index

  4. Earth system science data

    5 publications · 583 citations

    5

    h-index

  5. Nature Climate Change

    4 publications · 143 citations

    4

    h-index

1–5