Ensemble data-driven rainfall-runoff modeling using multi-source satellite and gauge rainfall data input fusion

Feed Forward Neural Network (FFNN), Adaptive Neuro-fuzzy Inference System (ANFIS), and Support Vector Regression (SVR) were applied for rainfall-runoff modeling of the Gilgel Abay catchment, Blue Nile basin, Ethiopia. Daily precipitations from satellite sources and rain gauge stations and outlet dis...

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Veröffentlicht in:	Earth science informatics 2021-12, Vol.14 (4), p.1787-1808
Hauptverfasser:	Nourani, Vahid, Gökçekuş, Hüseyin, Gichamo, Tagesse
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive systems Artificial neural networks Catchments Data integration Earth and Environmental Science Earth Sciences Earth System Sciences Fuzzy logic Gauges Hydrologic data Hydrologic models Information Systems Applications (incl.Internet) Modelling Neural networks Ontology Outlets Precipitation Rain gauges Rainfall data Rainfall runoff Rainfall-runoff modeling Rainfall-runoff relationships Research Article Runoff Runoff process Satellite data Satellites Sensitivity analysis Simulation and Modeling Space Exploration and Astronautics Space Sciences (including Extraterrestrial Physics Support vector machines
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