Nowcasting Data Assimilation

Nowcasting Data Assimilation is a specialized data assimilation framework that integrates real-time radar observations into numerical models to optimize short-term atmospheric state estimates for forecasts within 0–6 hours, distinguished by its emphasis on rapid update cycles, high spatiotemporal resolution, and the suppression of small-scale numerical instabilities inherent in convective-scale nowcasting.

48

Publications

2.7K

Citations

205

Authors

78

Institutions

Publications per year

2017–2026

18

Authors

205

  1. SB
    Susan Ballard

    Met Office, United Kingdom

    5 publications · 619 citations

    5

    h-index

  2. DS
    David Simonin

    Met Office, United Kingdom

    4 publications · 232 citations

    4

    h-index

  3. ZL
    Zhihong Li

    Lanzhou University, China

    4 publications · 247 citations

    4

    h-index

  4. SO
    Shigenori Otsuka

    RIKEN Center for Computational Science, Japan

    3 publications · 59 citations

    3

    h-index

  5. NR
    Nigel Roberts

    Met Office, United Kingdom

    3 publications · 521 citations

    3

    h-index

1–5 of 205

Venues

  1. 6

    h-index

  2. Weather and Forecasting

    5 publications · 206 citations

    5

    h-index

  3. Remote Sensing

    4 publications · 123 citations

    4

    h-index

  4. Monthly Weather Review

    4 publications · 180 citations

    4

    h-index

  5. Bulletin of the American Meteorological Society

    BAMS · 3 publications · 644 citations

    3

    h-index

1–5