Hydrological Drought Forecasting
Hydrological Drought Forecasting is a predictive modeling approach that specifically estimates future deficiencies in surface and subsurface water sources, such as streamflow, groundwater, and reservoir levels, by analyzing historical and current hydrological data to anticipate the onset, duration, and severity of hydrological drought events.
183
Publications
11.2K
Citations
609
Authors
322
Institutions
Publications per year
2017–2026
124
Parents
183
1–5 of 183
609
8
h-index
7
h-index
6
h-index
5
h-index
5
h-index
1–5 of 609
322
Texas A&M University
College Station, United States
10 h-index
13 publications
1.6K citations
Wageningen University & Research
Wageningen, The Netherlands
9 h-index
23 publications
1.5K citations

Hohai University
Nanjing, China
8 h-index
9 publications
433 citations

Chinese Academy of Sciences
Beijing, China
8 h-index
20 publications
1.1K citations

Sejong University
Seoul, South Korea
6 h-index
9 publications
333 citations

Hanyang University
Seoul, South Korea
6 h-index
15 publications
1.4K citations

National University of Malaysia
Bangi, Malaysia
5 h-index
13 publications
336 citations
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
Nanjing, China
5 h-index
8 publications
366 citations
1–8 of 322
11 publications · 1.7K citations
13
h-index
10 publications · 702 citations
10
h-index
9 publications · 489 citations
9
h-index
9 publications · 775 citations
9
h-index
8 publications · 700 citations
8
h-index
1–5