Statistical Downscaling

Statistical Downscaling is a modeling technique in environmental data analysis that belongs to the class of downscaling methods and is distinguished by its use of statistical relationships derived from observed data to infer local-scale climate variables from large-scale atmospheric model outputs.

1.4K

Publications

100K

Citations

4.2K

Authors

1.4K

Institutions

Publications per year

2017–2026

540

Authors

4.2K

  1. JM
    José Manuel Gutiérrez

    Universidad de Cantabria, Spain

    32 publications · 3.2K citations

    28

    h-index

  2. MV
    Mathieu Vrac

    Laboratoire des Sciences du Climat et de l'Environnement, France

    26 publications · 5K citations

    25

    h-index

  3. RB
    Rasmus Benestad

    Norwegian Meteorological Institute, Norway

    19 publications · 1.7K citations

    17

    h-index

  4. EH
    Elke Hertig

    University of Augsburg, Germany

    19 publications · 1.4K citations

    16

    h-index

  5. RM
    Rodrigo Manzanas

    Universidad de Cantabria, Spain

    15 publications · 1.5K citations

    15

    h-index

1–5 of 4.2K

Venues

  1. International Journal of Climatology

    122 publications · 10.1K citations

    52

    h-index

  2. Journal of Climate

    50 publications · 6.1K citations

    39

    h-index

  3. Journal of Hydrology

    52 publications · 4.6K citations

    39

    h-index

  4. Theoretical and Applied Climatology

    65 publications · 3.2K citations

    36

    h-index

  5. Climate Dynamics

    61 publications · 3.6K citations

    35

    h-index

1–5