Dynamical Forecasting

Dynamical Forecasting is a modeling approach within long-range forecasting that simulates future system states by numerically integrating the governing physical equations of the system over time, distinguishing it from statistical or empirical methods by its reliance on mechanistic representations of underlying processes.

191

Publications

10.7K

Citations

585

Authors

338

Institutions

Publications per year

2017–2026

67

Authors

585

  1. HR
    Hong‐Li Ren

    China Meteorological Administration, China

    3 publications · 37 citations

    3

    h-index

  2. KM
    K. Miyakoda

    NOAA Geophysical Fluid Dynamics Laboratory, United States

    3 publications · 93 citations

    3

    h-index

  3. SD
    Siegfried D. Schubert

    Goddard Space Flight Center, United States

    2 publications · 31 citations

    2

    h-index

  4. AH
    Ayaz Hussain Bukhari

    COMSATS University Islamabad, Pakistan

    2 publications · 393 citations

    2

    h-index

  5. SV
    Stéphane Vannitsem

    Royal Meteorological Institute of Belgium, Belgium

    2 publications · 64 citations

    2

    h-index

1–5 of 585

Venues

  1. Monthly Weather Review

    11 publications · 357 citations

    11

    h-index

  2. 8

    h-index

  3. Journal of the Atmospheric Sciences

    7 publications · 487 citations

    7

    h-index

  4. 5

    h-index

  5. Nonlinear processes in geophysics

    4 publications · 280 citations

    4

    h-index

1–5