@Article{JCM-5-62,
author = {Adamowski , KazimierzMohamed , Fadil B. and Dalezios , Nicolas R.},
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/},
url = {http://global-sci.org/intro/article_detail/jcm/9532.html}
}