Spatial Verification

Spatial Verification is a forecast verification methodology that evaluates the accuracy of predicted spatial patterns by explicitly accounting for displacement and structural errors in addition to traditional point-by-point correspondence.

79

Publications

6.8K

Citations

195

Authors

93

Institutions

Publications per year

2017–2026

25

Variants

Spatial Forecast Verification

Authors

195

  1. EG
    Eric Gilleland

    NSF National Center for Atmospheric Research, United States

    11 publications · 1K citations

    11

    h-index

  2. EE
    Elizabeth E. Ebert

    Bureau of Meteorology, Australia

    7 publications · 1.1K citations

    7

    h-index

  3. BG
    Barbara G. Brown

    NSF National Center for Atmospheric Research, United States

    7 publications · 950 citations

    7

    h-index

  4. MM
    Marion Mittermaier

    Met Office, United Kingdom

    6 publications · 474 citations

    6

    h-index

  5. GS
    Gregor Skok

    University of Ljubljana, Slovenia

    5 publications · 158 citations

    5

    h-index

1–5 of 195

Venues

  1. Weather and Forecasting

    18 publications · 1.7K citations

    17

    h-index

  2. Monthly Weather Review

    7 publications · 176 citations

    7

    h-index

  3. 3

    h-index

  4. Geoscientific model development

    3 publications · 66 citations

    3

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 119 citations

    3

    h-index

1–5