@Article{JCM-5-1,
author = {Kazimierz, Adamowski and Mohamed, Fadil, B. and R., Nicolas, Dalezios},
title = {Space-Time Transfer Function-Noise Modelling of Rainfall-Runoff Process},
journal = {Journal of Computational Mathematics},
year = {1987},
volume = {5},
number = {1},
pages = {62--73},
abstract = {<p style="text-align: justify;">An explanatory model class belonging to the family of Space-Time Transfer Function-Noise (STTFN) process is presented. The paper develops a three-stage iterative procedure for building STTFN models of the rainfall-runoff process. Four precipitation and runoff stations located in a watershed in southern Ontario, Canada, sampled at 15-day intervals are used for the numerical analysis. Three STTF models are identified. The model parameters are estimated by the polytope technique, a nonlinear optimization algorithm. Two of the developed space-time models proved adequate in describing the spatio-temporal characteristics of precipitation and runoff time series.</p>},
issn = {1991-7139},
doi = {https://doi.org/1987-JCM-9532},
url = {https://global-sci.com/article/86167/space-time-transfer-function-noise-modelling-of-rainfall-runoff-process}
}