Model Error Growth

Model Error Growth is a quantitative framework that characterizes the temporal amplification of inaccuracies in a predictive model's outputs due to the propagation and accumulation of structural and parametric deficiencies inherent in the model's formulation.

128

Publications

13.5K

Citations

286

Authors

138

Institutions

Publications per year

2017–2026

27

Authors

286

  1. FZ
    Fuqing Zhang

    Pennsylvania State University, United States

    7 publications · 887 citations

    7

    h-index

  2. WD
    Wansuo Duan

    Chinese Academy of Sciences, China

    5 publications · 385 citations

    5

    h-index

  3. EK
    Eugenia Kalnay

    University of Maryland, College Park, United States

    5 publications · 527 citations

    5

    h-index

  4. RR
    Richard Rotunno

    NSF National Center for Atmospheric Research, United States

    2 publications · 435 citations

    3

    h-index

  5. TS
    Tobias Selz

    Ludwig-Maximilians-Universität München, Germany

    3 publications · 97 citations

    3

    h-index

1–5 of 286

Venues

  1. Journal of the Atmospheric Sciences

    24 publications · 2.3K citations

    19

    h-index

  2. Monthly Weather Review

    18 publications · 1.9K citations

    16

    h-index

  3. Tellus A Dynamic Meteorology and Oceanography

    9 publications · 574 citations

    9

    h-index

  4. 8

    h-index

  5. Journal of Geophysical Research Atmospheres

    JGR · 5 publications · 5.6K citations

    5

    h-index

1–5