Lagrangian Nowcasting

Lagrangian Nowcasting is a predictive framework in radar meteorology that models the evolution of precipitation fields by advecting current radar echoes according to motion vectors derived from cloud drift dynamics, thereby preserving the structural coherence of weather systems over short time horizons.

20

Publications

1.4K

Citations

59

Authors

29

Institutions

Publications per year

2017–2026

7

Authors

59

  1. IZ
    Isztar Zawadzki

    McGill University, Canada

    7 publications · 795 citations

    7

    h-index

  2. UG
    Urs Germann

    Federal Office of Meteorology and Climatology MeteoSwiss, Switzerland

    5 publications · 774 citations

    5

    h-index

  3. VC
    V. Chandrasekar

    Colorado State University, United States

    3 publications · 72 citations

    3

    h-index

  4. SP
    Seppo Pulkkinen

    Finnish Meteorological Institute, Finland

    2 publications · 64 citations

    2

    h-index

  5. YH
    Yong Hee Lee

    Jeju National University, South Korea

    2 publications · 71 citations

    2

    h-index

1–5 of 59

Venues

  1. Monthly Weather Review

    4 publications · 557 citations

    4

    h-index

  2. Weather and Forecasting

    3 publications · 232 citations

    3

    h-index

  3. 2

    h-index

  4. Asia-Pacific Journal of Atmospheric Sciences

    APJAS · 2 publications · 71 citations

    2

    h-index

  5. Journal of Applied Meteorology and Climatology

    JAMC · 1 publications · 19 citations

    1

    h-index

1–5