A nonlinear spatio-temporal lumping of radar rainfall for modeling multi-step-ahead inflow forecasts by data-driven techniques

Journal of Hydrology

Volumn 535, Issue , 2016, Pages 256-269

  Chang, Fi John ^a   Tsai, Meng Jung ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Adaptive Neuro Fuzzy Inference System (ANFIS); Data driven models; Gamma test; Probability information of forecasts; Rainfall runoff processes

Indexed keywords

CATCHMENTS; CONFORMAL MAPPING; FLOOD CONTROL; FLOODS; FORECASTING; FUZZY INFERENCE; FUZZY SYSTEMS; HURRICANES; RADAR; RESERVOIRS (WATER); RUNOFF; SELF ORGANIZING MAPS; TRACKING (POSITION);

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; DATA-DRIVEN MODEL; GAMMA TEST; PROBABILITY INFORMATIONS; RAINFALL-RUNOFF PROCESS;

RAIN;

CATCHMENT; FLOOD FORECASTING; FUZZY MATHEMATICS; INFLOW; NUMERICAL MODEL; PROBABILITY; RADAR; RAINFALL; RAINFALL-RUNOFF MODELING; RUNOFF; SPATIOTEMPORAL ANALYSIS;

SHIHMEN RESERVOIR; TAIWAN;

EID: 84960464430     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2016.01.056     Document Type: Article

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