Deep Learning Nowcasting

Deep Learning Nowcasting is a machine learning–based nowcasting framework that leverages deep neural networks to model spatiotemporal dynamics in radar data for the purpose of generating highly accurate short-term precipitation forecasts.

122

Publications

6.4K

Citations

474

Authors

183

Institutions

Publications per year

2017–2026

120

Authors

474

  1. XL
    Xutao Li

    Harbin Institute of Technology, China

    6 publications · 428 citations

    6

    h-index

  2. YY
    Yunming Ye

    Harbin Institute of Technology, China

    6 publications · 428 citations

    6

    h-index

  3. HC
    Haonan Chen

    Colorado State University, United States

    6 publications · 421 citations

    6

    h-index

  4. CL
    Chuyao Luo

    Harbin Institute of Technology, China

    4 publications · 237 citations

    4

    h-index

  5. XC
    Xunlai Chen

    Meteorological Bureau of Shenzhen Municipality, China

    4 publications · 141 citations

    4

    h-index

1–5 of 474

Venues

  1. 11

    h-index

  2. Remote Sensing

    13 publications · 376 citations

    11

    h-index

  3. arXiv (Cornell University)

    Repository · 8 publications · 763 citations

    8

    h-index

  4. 8

    h-index

  5. Atmosphere

    6 publications · 251 citations

    6

    h-index

1–5