Gauge-based Flood Forecasting
Gauge-Based Flood Forecasting is a hydrological forecasting method that relies on in situ river gauge measurements as primary input data to predict flood events, distinguishing it from remote sensing or model-driven approaches.
23
Publications
885
Citations
111
Authors
57
Institutions
Publications per year
2017–2026
16
Parents
23
Flood Prediction and Uncertainty Estimation Using Deep Learning
Vinayaka Gude, Steven Corns, Suzanna Long · Water · 2020 · 98 citations · Full text
Water Level Forecasting Using Spatiotemporal Attention-Based Long Short-Term Memory Network
Fahima Noor, Sanaulla Haq, Mohammed Rakib et al. · Water · 2022 · 77 citations · Full text
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57

Hohai University
Nanjing, China
3 h-index
8 publications
219 citations
NOAA National Weather Service
Silver Spring, United States
2 h-index
12 publications
416 citations

Indian Institute of Technology Roorkee
Roorkee, India
2 h-index
2 publications
70 citations
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
Nanjing, China
2 h-index
4 publications
91 citations
National Institute of Hydrology
Roorkee, India
2 h-index
2 publications
70 citations
National Center for High-Performance Computing
Hsinchu, Taiwan
1 h-index
2 publications
60 citations
NOAA Environmental Modeling Center
College Park, United States
1 h-index
1 publications
29 citations
Pertamina (Indonesia)
Jakarta, Indonesia
1 h-index
1 publications
34 citations
1–8 of 57
8 publications · 403 citations
8
h-index
3 publications · 54 citations
3
h-index
2 publications · 121 citations
2
h-index
1 publications · 56 citations
1
h-index
1 publications · 21 citations
1
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