Nowcasting-based Precipitation Estimation

Nowcasting-Based Precipitation Estimation is a precipitation estimation methodology that belongs to the class of short-term forecasting techniques and is distinguished by its reliance on real-time observational data and high-resolution spatiotemporal models to estimate rainfall intensities over lead times ranging from 0 to 6 hours.

81

Publications

4.1K

Citations

271

Authors

119

Institutions

Publications per year

2017–2026

47

Authors

271

  1. ZS
    Zbyněk Sokol

    Czech Academy of Sciences, Institute of Atmospheric Physics, Czechia

    7 publications · 167 citations

    7

    h-index

  2. VC
    V. Chandrasekar

    Colorado State University, United States

    3 publications · 66 citations

    3

    h-index

  3. GL
    GyuWon Lee

    Kyungpook National University, South Korea

    3 publications · 106 citations

    3

    h-index

  4. JM
    Jan Mejsnar

    Czech Academy of Sciences, Institute of Atmospheric Physics, Czechia

    3 publications · 70 citations

    3

    h-index

  5. VS
    Victor S. Sheng

    Texas Tech University, United States

    2 publications · 44 citations

    2

    h-index

1–5 of 271

Venues

  1. Atmospheric Research

    10 publications · 423 citations

    10

    h-index

  2. Journal of Hydrology

    9 publications · 639 citations

    9

    h-index

  3. 7

    h-index

  4. Hydrology and earth system sciences

    3 publications · 71 citations

    3

    h-index

  5. Asia-Pacific Journal of Atmospheric Sciences

    APJAS · 2 publications · 71 citations

    2

    h-index

1–5