Turbulence Forecasting

Turbulence Forecasting is a meteorological modeling framework that predicts the intensity and spatial distribution of atmospheric turbulence, particularly in aviation-relevant regions such as mountain wave environments and terminal aerodrome areas, by integrating physical and empirical indicators of turbulent eddies and wind shear.

83

Publications

3.8K

Citations

201

Authors

83

Institutions

Publications per year

2017–2026

36

Authors

201

  1. RS
    Robert Sharman

    NSF National Center for Atmospheric Research, United States

    19 publications · 1K citations

    17

    h-index

  2. JK
    Jung‐Hoon Kim

    Seoul National University, South Korea

    12 publications · 443 citations

    11

    h-index

  3. HC
    Hye‐Yeong Chun

    Yonsei University, South Korea

    8 publications · 263 citations

    8

    h-index

  4. EM
    Elena Masciadri

    Arcetri Astrophysical Observatory, Italy

    5 publications · 207 citations

    5

    h-index

  5. PG
    Philip Gill

    Met Office, United Kingdom

    5 publications · 250 citations

    5

    h-index

1–5 of 201

Venues

  1. Journal of Applied Meteorology and Climatology

    JAMC · 11 publications · 555 citations

    11

    h-index

  2. 11

    h-index

  3. Weather and Forecasting

    9 publications · 777 citations

    9

    h-index

  4. Meteorological Applications

    7 publications · 264 citations

    7

    h-index

  5. Geophysical Research Letters

    5 publications · 203 citations

    5

    h-index

1–5