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

Title
A nonlinear spatio-temporal lumping of radar rainfall for modeling multi-step-ahead inflow forecasts by data-driven techniques
Authors
Keywords
Data-driven models, Adaptive Neuro-Fuzzy Inference System (ANFIS), Rainfall–runoff processes, Gamma test, Probability information of forecasts
Journal
JOURNAL OF HYDROLOGY
Volume 535, Issue -, Pages 256-269
Publisher
Elsevier BV
Online
2016-02-01
DOI
10.1016/j.jhydrol.2016.01.056

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