Functional classification and evaluation of hydrographs based on multicomponent mapping (Mx)

Pappenberger, Florian and Beven, Keith J. (2004) Functional classification and evaluation of hydrographs based on multicomponent mapping (Mx). International Journal of River Basin Management, 2 (2). pp. 89-100. ISSN 1571-5124

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Abstract

The literature offers a wealth of different performance measures to evaluate model results. However, visual graphical evaluation based on the simple plotting of two curves is still the most intuitive and favoured approach by many modellers. This paper introduces a performance measure, which is based on this method (the Multicomponent Mapping (Mx)). The hydrograph is subdivided into box areas to which membership values according to the distance to the hydrograph are assigned. The box size is influenced by the expected effective observation error structure. It is demonstrated that this method can be used not only to calculate a quantitative performance measure but also to classify hydrograph outputs of Monte Carlo runs into functional classes in order to enable, for example, the cascading of uncertainties in large modelling systems. A comparison to traditional measures like the Nash-Sutcliffe and the Cumulative Absolute Error is performed.

Item Type:
Journal Article
Journal or Publication Title:
International Journal of River Basin Management
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2300/2312
Subjects:
?? cluster analysishydrograph evaluationmodel calibrationnash-sutcliffeuncertaintywater science and technology ??
ID Code:
129642
Deposited By:
Deposited On:
11 Dec 2018 14:08
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 18:44