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Improving our understanding of flood forecasting using earlier hydro-meteorological intelligence
Dong-Sin Shih
*
, Cheng Hsin Chen, Gour Tsyh Yeh
*
此作品的通信作者
土木工程學系
研究成果
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引文 斯高帕斯(Scopus)
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Keyphrases
Warning System
100%
Flood Forecasting
100%
Hydrometeorology
100%
Taiwan
66%
Estimation Process
33%
Simulation-based
33%
Good for
33%
Highly Accurate
33%
Rainfall-runoff
33%
Hydrological Model
33%
Typhoon
33%
Rainfall Data
33%
Numerical Simulation Results
33%
Good Enough
33%
Distinctive Features
33%
Potential Risk
33%
Early Warning System
33%
Rainfall Field
33%
Hydrograph
33%
Peak Time
33%
Rainfall-runoff Modeling
33%
Mesoscale Models
33%
Flood Warning System
33%
Weather Research Forecasting
33%
Data Assimilation
33%
Meteorological Input
33%
Ensemble Flood Forecast
33%
Precipitation Estimation
33%
Rainfall Prediction
33%
Torrential Rain
33%
Runoff Calculation
33%
Natural Threats
33%
Earth and Planetary Sciences
Taiwan
100%
Flood Forecasting
100%
Flood Forecast
100%
Data Assimilation
50%
Cyclones
50%
Hydrograph
50%