Object-based Verification

Object-Based Verification is a diagnostic evaluation method in forecast verification that identifies, matches, and compares spatially coherent structures or features (objects) between predicted and observed fields to assess the accuracy of spatiotemporal patterns in hydrologic nowcasting.

42

Publications

2.5K

Citations

131

Authors

56

Institutions

Publications per year

2017–2026

15

Variants

Object-oriented Verification

Authors

131

  1. PS
    Patrick S. Skinner

    University of Oklahoma, United States

    4 publications · 287 citations

    4

    h-index

  2. KH
    Kent H. Knopfmeier

    Cooperative Institute for Mesoscale Meteorological Studies, United States

    4 publications · 287 citations

    4

    h-index

  3. AE
    Anthony E. Reinhart

    Cooperative Institute for Mesoscale Meteorological Studies, United States

    4 publications · 271 citations

    4

    h-index

  4. BG
    Barbara G. Brown

    NSF National Center for Atmospheric Research, United States

    4 publications · 946 citations

    4

    h-index

  5. XW
    Xuguang Wang

    University of Oklahoma, United States

    3 publications · 192 citations

    3

    h-index

1–5 of 131

Venues

  1. Weather and Forecasting

    15 publications · 713 citations

    15

    h-index

  2. Monthly Weather Review

    10 publications · 1.2K citations

    10

    h-index

  3. Journal of Applied Meteorology and Climatology

    JAMC · 1 publications · 26 citations

    1

    h-index

  4. Journal of Spatial Science

    1 publications · 33 citations

    1

    h-index

  5. Robotics and Autonomous Systems

    1 publications · 16 citations

    1

    h-index

1–5