Rainfall Data Quality Control

Rainfall Data Quality Control is a systematic procedural framework within meteorological data processing that identifies, corrects, and prevents errors and inconsistencies in rainfall measurements to ensure the accuracy, reliability, and temporal integrity of precipitation datasets.

120

Publications

9.6K

Citations

410

Authors

200

Institutions

Publications per year

2017–2026

49

Authors

410

  1. HJ
    Hayley J. Fowler

    Newcastle University, United Kingdom

    6 publications · 353 citations

    6

    h-index

  2. EL
    Elizabeth Lewis

    Newcastle University, United Kingdom

    4 publications · 304 citations

    4

    h-index

  3. SB
    Stephen Blenkinsop

    Newcastle University, United Kingdom

    4 publications · 316 citations

    4

    h-index

  4. AM
    Anja Meyer-Christoffer

    Deutscher Wetterdienst, Germany

    3 publications · 239 citations

    3

    h-index

  5. FM
    Fergus McClean

    Newcastle University, United Kingdom

    3 publications · 205 citations

    3

    h-index

1–5 of 410

Venues

  1. Journal of Hydrology

    18 publications · 2.2K citations

    16

    h-index

  2. Water Resources Research

    7 publications · 401 citations

    7

    h-index

  3. International Journal of Climatology

    5 publications · 286 citations

    5

    h-index

  4. Environmental Modelling & Software

    4 publications · 174 citations

    4

    h-index

  5. Journal of Atmospheric and Oceanic Technology

    4 publications · 172 citations

    4

    h-index

1–5