Statistical Precipitation Forecasting is a forecasting methodology that belongs to the class of precipitation prediction techniques and specifically employs statistical models derived from historical meteorological data to estimate future precipitation amounts or occurrences, distinguishing itself from dynamical or hybrid approaches by relying solely on empirical relationships and probabilistic inference rather than physical atmospheric equations.
156
Publications
6.6K
Citations
454
Authors
212
Institutions
Publications per year
2017–2026
65
Variants
Statistical Precipitation Prediction
Parents
Publications
156
1–5 of 156
Authors
454
- BH
3
h-index
- BR
3
h-index
- GF
3
h-index
- HG
3
h-index
- ZG
3
h-index
1–5 of 454
Institutions
212
Chinese Academy of Sciences
Beijing, China
8 h-index
17 publications
745 citations
Nanjing University of Information Science and Technology
Nanjing, China
7 h-index
16 publications
1.2K citations
Institute of Atmospheric Physics
Beijing, China
7 h-index
15 publications
667 citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
6 publications
224 citations
Near East University
Nicosia, Cyprus
4 h-index
7 publications
319 citations
University of Colorado Boulder
Boulder, United States
4 h-index
8 publications
643 citations
Wuhan University
Wuhan, China
4 h-index
13 publications
512 citations
China Meteorological Administration
Beijing, China
3 h-index
12 publications
423 citations
1–8 of 212
Venues
- Weather and Forecasting
8 publications · 323 citations
8
h-index
- Monthly Weather Review
8 publications · 230 citations
8
h-index
- International Journal of Climatology
8 publications · 341 citations
8
h-index
- Journal of Hydrology
6 publications · 475 citations
6
h-index
- Climate Dynamics
6 publications · 226 citations
6
h-index
1–5