Probabilistic Drought Forecasting
Probabilistic Drought Forecasting is a drought forecasting approach that quantifies the likelihood of future drought conditions by providing probabilistic estimates of drought onset, duration, severity, and spatial extent, distinguishing itself from deterministic methods through its explicit representation of predictive uncertainty.
72
Publications
4.6K
Citations
234
Authors
130
Institutions
Publications per year
2017–2026
32
Parents
72
1–5 of 72
234
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h-index
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1–5 of 234
130
Texas A&M University
College Station, United States
8 h-index
9 publications
401 citations

Shiraz University
Shiraz, Iran
4 h-index
8 publications
518 citations

Hanyang University
Seoul, South Korea
4 h-index
11 publications
769 citations
United Arab Emirates University
Al Ain, United Arab Emirates
4 h-index
4 publications
137 citations
Northwest A&F University
Yangling, China
4 h-index
13 publications
860 citations

Sun Yat-sen University
Guangzhou, China
3 h-index
6 publications
192 citations
Princeton University
Princeton, United States
3 h-index
12 publications
1.2K citations
Joint Research Centre
Ispra, Italy
3 h-index
6 publications
226 citations
1–8 of 130
8 publications · 590 citations
8
h-index
8 publications · 701 citations
8
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6 publications · 747 citations
6
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3 publications · 288 citations
3
h-index
JGR · 3 publications · 83 citations
3
h-index
1–5