Statistical Drought Forecasting
Statistical Drought Forecasting is a drought forecasting approach that belongs to the class of empirical methods relying on historical data and probabilistic relationships, distinguished by its use of statistical models to predict drought occurrence, severity, and duration without explicitly simulating underlying physical processes.
55
Publications
4.1K
Citations
217
Authors
125
Institutions
Publications per year
2017–2026
35
Parents
55
1–5 of 55
217
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h-index
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125

University of Southern Queensland
Toowoomba, Australia
4 h-index
8 publications
1.1K citations

McGill University
Montreal, Canada
3 h-index
7 publications
1.3K citations

Beijing Normal University
Beijing, China
2 h-index
5 publications
767 citations
NOAA Environmental Modeling Center
College Park, United States
2 h-index
2 publications
635 citations
Marshall Space Flight Center
Redstone Arsenal, United States
2 h-index
3 publications
300 citations
Wuhan University
Wuhan, China
2 h-index
7 publications
447 citations
National Cheng Kung University
Tainan City, Taiwan
2 h-index
5 publications
262 citations

University of Tehran
Tehran, Iran
2 h-index
3 publications
234 citations
1–8 of 125
5 publications · 347 citations
5
h-index
5 publications · 282 citations
5
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3 publications · 300 citations
3
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3 publications · 598 citations
3
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2 publications · 107 citations
2
h-index
1–5