Data Assimilation Diagnostics

Data Assimilation Diagnostics is a methodological framework within numerical weather prediction that systematically evaluates the performance, consistency, and reliability of data assimilation systems by quantifying discrepancies between observations, model forecasts, and analyzed states.

116

Publications

9.1K

Citations

351

Authors

111

Institutions

Publications per year

2017–2026

26

Authors

351

  1. SL
    Sarah L. Dance

    University of Reading, United Kingdom

    8 publications · 391 citations

    8

    h-index

  2. NN
    Nancy Nichols

    University of Reading, United Kingdom

    8 publications · 391 citations

    8

    h-index

  3. GD
    Gérald Desroziers

    Météo-France, France

    8 publications · 1.3K citations

    8

    h-index

  4. JA
    Joanne A. Waller

    University of Reading, United Kingdom

    7 publications · 375 citations

    7

    h-index

  5. CC
    Carla Cardinali

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    7 publications · 739 citations

    7

    h-index

1–5 of 351

Venues

  1. 26

    h-index

  2. Monthly Weather Review

    22 publications · 2.8K citations

    18

    h-index

  3. Journal of Geophysical Research Atmospheres

    JGR · 3 publications · 75 citations

    3

    h-index

  4. Journal of Hydrometeorology

    3 publications · 202 citations

    3

    h-index

  5. Geoscientific model development

    3 publications · 49 citations

    3

    h-index

1–5