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
48
Convection‐permitting models: a step‐change in rainfall forecasting
Peter Clark, Nigel Roberts, Humphrey Lean et al. · Meteorological Applications · 2016 · 387 citations · Full text
Nowcasting of precipitation systems
K. A. Browning, C. G. Collier · Reviews of Geophysics · 1989 · 115 citations
1–5 of 48
205
5
h-index
4
h-index
4
h-index
3
h-index
3
h-index
1–5 of 205
78
Met Office
Exeter, United Kingdom
8 h-index
40 publications
5.5K citations
University of Reading
Reading, United Kingdom
8 h-index
23 publications
3.4K citations
University of Oklahoma
Norman, United States
4 h-index
6 publications
668 citations
RIKEN Center for Computational Science
Kobe, Japan
4 h-index
17 publications
369 citations
Czech Academy of Sciences, Institute of Atmospheric Physics
Prague, Czechia
3 h-index
6 publications
155 citations
Japan Agency for Marine-Earth Science and Technology
Yokosuka, Japan
3 h-index
5 publications
117 citations
Environment and Climate Change Canada
Ottawa, Canada
3 h-index
6 publications
801 citations
University of Maryland, College Park
College Park, United States
2 h-index
2 publications
36 citations
1–8 of 78
6 publications · 336 citations
6
h-index
5 publications · 206 citations
5
h-index
4 publications · 123 citations
4
h-index
4 publications · 180 citations
4
h-index
BAMS · 3 publications · 644 citations
3
h-index
1–5