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
Parents
81
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Xingjian Shi, Zhihan Gao, Leonard Lausen et al. · arXiv (Cornell University) · 2017 · 617 citations · Full text
1–5 of 81
271
Czech Academy of Sciences, Institute of Atmospheric Physics, Czechia
7 publications · 167 citations
7
h-index
3
h-index
3
h-index
Czech Academy of Sciences, Institute of Atmospheric Physics, Czechia
3 publications · 70 citations
3
h-index
2
h-index
1–5 of 271
119
Czech Academy of Sciences, Institute of Atmospheric Physics
Prague, Czechia
6 h-index
18 publications
434 citations
Colorado State University
Fort Collins, United States
4 h-index
8 publications
176 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
9 publications
280 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
5 publications
131 citations
Federal Office of Meteorology and Climatology MeteoSwiss
Zurich, Switzerland
3 h-index
7 publications
457 citations
National Institute of Meteorological Sciences
Seogwipo, South Korea
3 h-index
7 publications
226 citations
Hong Kong Observatory
Hong Kong, China
3 h-index
5 publications
121 citations
Kyungpook National University
Daegu, South Korea
3 h-index
6 publications
211 citations
1–8 of 119
10 publications · 423 citations
10
h-index
9 publications · 639 citations
9
h-index
7 publications · 385 citations
7
h-index
3 publications · 71 citations
3
h-index
APJAS · 2 publications · 71 citations
2
h-index
1–5