Recent advances in data-based modelling and analysis of hydrological systems.

Young, Peter C. and Jakeman, Anthony J. and Post, David A. (1997) Recent advances in data-based modelling and analysis of hydrological systems. Water Science and Technology, 36 (5). pp. 99-116. ISSN 0273-1223

Full text not available from this repository.

Abstract

Hydrological systems present several difficulties for modellers. A data-based approach utilizing objective statistical analysis of output and/or input-output time series behaviour has much to offer, both for understanding of the response dynamics of systems and future hypothesis formulation for improved model structure, as well as good predictive capacity. In this paper, the essential elements and tools of a data-based approach, using an Unobserved Components (UC) model, are presented and illustrated with two examples.

Item Type: Journal Article
Journal or Publication Title: Water Science and Technology
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/ge
Subjects:
Departments: Faculty of Science and Technology > Lancaster Environment Centre
ID Code: 21974
Deposited By: ep_ss_importer
Deposited On: 16 Feb 2009 14:40
Refereed?: Yes
Published?: Published
Last Modified: 14 Aug 2019 04:06
URI: https://eprints.lancs.ac.uk/id/eprint/21974

Actions (login required)

View Item View Item