Probabilistic Flood Modeling
Probabilistic Flood Modeling is a hydrologic modeling approach that quantifies flood risks and uncertainties by assigning probabilities to various flood scenarios, distinguishing itself from deterministic methods through its incorporation of stochastic processes and statistical distributions to represent the inherent variability and unpredictability of hydroclimatic extremes.
553
Publications
30.3K
Citations
1.5K
Authors
597
Institutions
Publications per year
2017–2026
213
Parents
553
The Gumbel mixed model for flood frequency analysis
Sheng Yue, Taha B. M. J. Ouarda, Bernard Bobée et al. · Journal of Hydrology · 1999 · 353 citations
1–5 of 553
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597
GFZ Helmholtz Centre for Geosciences
Potsdam, Germany
17 h-index
56 publications
5.4K citations

Delft University of Technology
Delft, The Netherlands
13 h-index
32 publications
1.5K citations
University of Potsdam
Potsdam, Germany
13 h-index
25 publications
1.3K citations
Deltares
Delft, The Netherlands
13 h-index
30 publications
1.1K citations

University of Bristol
Bristol, United Kingdom
12 h-index
27 publications
3.5K citations
Wuhan University
Wuhan, China
11 h-index
42 publications
1.8K citations

Hohai University
Nanjing, China
10 h-index
50 publications
2K citations

University of Bologna
Bologna, Italy
10 h-index
19 publications
1.5K citations
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80 publications · 5.2K citations
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67 publications · 4.4K citations
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20 publications · 944 citations
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19 publications · 898 citations
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17 publications · 1.4K citations
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