Probabilistic Groundwater Forecasting
Probabilistic Groundwater Forecasting is a predictive methodology within hydrological modeling that, as distinguished from deterministic approaches, characterizes future groundwater levels through probability distributions to quantify predictive uncertainty.
20
Publications
858
Citations
59
Authors
37
Institutions
Publications per year
2017–2026
13
20
Héctor Aguilera, Carolina Guardiola‐Albert, Nuria Naranjo‐Fernández et al. · Hydrological Sciences Journal · 2019 · 70 citations · Full text
Natural Resources, Hydrology, Water Resources Management +16
Eduardo Henrique de Moraes Takafuji, Marcelo Monteiro da Rocha, Rodrigo Lilla Manzione · Natural Resources Research · 2018 · 60 citations · Full text
1–5 of 20
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37
Nanjing University
Nanjing, China
2 h-index
3 publications
111 citations

Hohai University
Nanjing, China
2 h-index
2 publications
238 citations
Razi University
Kermanshah, Iran
2 h-index
3 publications
103 citations
Vellore Institute of Technology University
Vellore, India
1 h-index
1 publications
52 citations

Jamia Millia Islamia
New Delhi, India
1 h-index
1 publications
29 citations
Yonsei University
Seoul, South Korea
1 h-index
1 publications
67 citations
Kyungpook National University
Daegu, South Korea
1 h-index
2 publications
134 citations
Korea Basic Science Institute
Daejeon, South Korea
1 h-index
1 publications
67 citations
1–8 of 37
3 publications · 113 citations
4
h-index
2 publications · 161 citations
2
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MESE · 1 publications · 52 citations
1
h-index
1 publications · 37 citations
1
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1 publications · 16 citations
1
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1–5