Spatiotemporal Nowcasting Models

Spatiotemporal Nowcasting Models is a computational framework that integrates spatial and temporal dynamics to predict short-term hydrological states or events at high resolution by leveraging both geographic dependencies and time-evolving processes in near real-time.

18

Publications

8K

Citations

78

Authors

33

Institutions

Publications per year

2017–2026

14

Authors

78

  1. XS
    Xingjian Shi

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 7.5K citations

    3

    h-index

  2. XL
    Xutao Li

    Harbin Institute of Technology, China

    2 publications · 160 citations

    2

    h-index

  3. CL
    Chuyao Luo

    Harbin Institute of Technology, China

    2 publications · 160 citations

    2

    h-index

  4. DY
    Dit‐Yan Yeung

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 7.4K citations

    2

    h-index

  5. WW
    Wang‐chun Woo

    Hong Kong Observatory, China

    2 publications · 7.4K citations

    2

    h-index

1–5 of 78

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 7.5K citations

    3

    h-index

  2. 2

    h-index

  3. 2

    h-index

  4. IEEE Transactions on Sustainable Energy

    TSTE · 1 publications · 38 citations

    1

    h-index

  5. International Journal of Health Geographics

    1 publications · 58 citations

    1

    h-index

1–5