Wind Data Homogenization

Wind Data Homogenization is a methodological process in meteorological data processing that identifies and corrects non-climatic biases and inconsistencies in wind speed and direction records to ensure temporal and spatial homogeneity across observational datasets.

15

Publications

1.1K

Citations

59

Authors

42

Institutions

Publications per year

2017–2026

7

Authors

59

  1. CA
    César Azorín-Molina

    Consejo Superior de Investigaciones Científicas, Spain

    4 publications · 402 citations

    4

    h-index

  2. TR
    Tim R. McVicar

    CSIRO Land and Water, Australia

    3 publications · 317 citations

    3

    h-index

  3. DC
    Deliang Chen

    University of Gothenburg, Sweden

    3 publications · 216 citations

    3

    h-index

  4. JA
    José A. Guijarro

    Agencia Estatal de Meteorología, Spain

    2 publications · 131 citations

    2

    h-index

  5. VR
    Val R. Swail

    Environment and Climate Change Canada, Canada

    2 publications · 341 citations

    2

    h-index

1–5 of 59

Venues

  1. International Journal of Climatology

    5 publications · 270 citations

    5

    h-index

  2. Journal of Climate

    5 publications · 620 citations

    5

    h-index

  3. Journal of Geophysical Research Atmospheres

    JGR · 1 publications · 32 citations

    1

    h-index

  4. Environmental Research Letters

    ERL · 1 publications · 42 citations

    1

    h-index

  5. Advances in Atmospheric Sciences

    1 publications · 91 citations

    1

    h-index

1–5