Terrain-influenced Forecasting

Terrain-Influenced Forecasting is a mesoscale forecasting approach that specifically accounts for the modifying effects of local topography on atmospheric flow and weather phenomena, distinguishing itself from broader mesoscale models by explicitly integrating terrain-induced dynamics such as orographic lifting, channeling, and slope winds into predictive analyses.

41

Publications

2K

Citations

149

Authors

64

Institutions

Publications per year

2017–2026

10

Authors

149

  1. JB
    Joseph B. Klemp

    NSF National Center for Atmospheric Research, United States

    3 publications · 96 citations

    3

    h-index

  2. SV
    Simon Vosper

    Met Office, United Kingdom

    3 publications · 191 citations

    3

    h-index

  3. JK
    Jung‐Hoon Kim

    Seoul National University, South Korea

    3 publications · 96 citations

    3

    h-index

  4. SP
    Sang‐Hun Park

    Yonsei University, South Korea

    2 publications · 62 citations

    2

    h-index

  5. ZP
    Zhaoxia Pu

    University of Utah, United States

    2 publications · 192 citations

    2

    h-index

1–5 of 149

Venues

  1. Weather and Forecasting

    8 publications · 354 citations

    8

    h-index

  2. Monthly Weather Review

    7 publications · 231 citations

    7

    h-index

  3. 2

    h-index

  4. Meteorological Applications

    2 publications · 107 citations

    2

    h-index

  5. Bulletin of the American Meteorological Society

    BAMS · 2 publications · 119 citations

    2

    h-index

1–5