Statistical Tropical Forecasting
Statistical Tropical Forecasting is a systematic methodology in meteorological science that employs statistical models and historical climate data to predict tropical weather phenomena, distinguishing itself from dynamical forecasting approaches by relying on empirical relationships and probabilistic techniques rather than physical equations of atmospheric motion.
76
Publications
3.4K
Citations
196
Authors
87
Institutions
Publications per year
2017–2026
14
Parents
76
Statistical–Dynamical Predictions of Seasonal North Atlantic Hurricane Activity
Gabriel A. Vecchi, Ming Zhao, Hui Wang et al. · Monthly Weather Review · 2010 · 157 citations · Full text
1–5 of 76
196
National Oceanic and Atmospheric Administration, United States
7 publications · 261 citations
7
h-index
4
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3
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3
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3
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1–5 of 196
87
National Oceanic and Atmospheric Administration
Washington, United States
8 h-index
19 publications
959 citations
Colorado State University
Fort Collins, United States
6 h-index
10 publications
1.1K citations
NOAA National Centers for Environmental Prediction
College Park, United States
5 h-index
13 publications
1.1K citations
Florida State University
Tallahassee, United States
4 h-index
12 publications
765 citations
India Meteorological Department
New Delhi, India
4 h-index
10 publications
242 citations

Nanjing University of Information Science and Technology
Nanjing, China
3 h-index
7 publications
178 citations
NOAA Climate Prediction Center
College Park, United States
3 h-index
12 publications
1K citations
Météo-France
Toulouse, France
3 h-index
3 publications
153 citations
1–8 of 87
13 publications · 883 citations
12
h-index
13 publications · 522 citations
11
h-index
6 publications · 360 citations
6
h-index
6 publications · 178 citations
6
h-index
3 publications · 80 citations
3
h-index
1–5