Multivariate nonlinear prediction of river flows

This paper considers a nonlinear method for the forecasting of river flows, developed in its univariate form in the context of modem nonlinear time se ries analysis by Farmer and Sidorowich [Phys. Rev. Lett. 59 (1987) 845] and usually referred to as nonlinear prediction (NLP). Here, such a method is extended to a multivariate form to include information from other time seri es in addition to that of discharge. The conceptual basis of the multivaria te approach is explained in the: first part of the paper, while the second part deals with the application to forecasting of river flow. The good qual ity of the predictions obtained, along with the flexibility of the multivar iate method to adapt to the different sources of information, indicates tha t this technique could be of real interest in the hydrologic field. (C) 200 1 Elsevier Science B.V. All rights reserved.