HESS Opinions 'Crash tests for a standardized evaluation of hydrological models'

被引：108

作者：

Andreassian, V. ^{[1
]}

Perrin, C. ^{[1
]}

Berthet, L. ^{[1
,6
]}

Le Moine, N. ^{[2
]}

Lerat, J. ^{[3
]}

Loumagne, C. ^{[1
]}

Oudin, L. ^{[4
]}

Mathevet, T. ^{[5
]}

Ramos, M. -H. ^{[1
]}

Valery, A. ^{[1
]}

机构：

[1] Irstea, UR HBAN, F-92163 Antony, France

[2] EDF LNHE, Chatou, France

[3] Irstea, UMR G EAU, F-34000 Montpellier, France

[4] Univ Paris 06, UMR Sisyphe, Paris, France

[5] EDF DTG, Grenoble, France

[6] AgroParisTech, Paris, France

来源：

HYDROLOGY AND EARTH SYSTEM SCIENCES | 2009年 / 13卷 / 10期

关键词：

STREAM-FLOW; RAINFALL; VALIDATION; PARAMETERS; CLIMATE; IMPACT; PERFORMANCE; UNCERTAINTY; SIMULATION; EFFICIENCY;

D O I：

10.5194/hess-13-1757-2009

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

As all hydrological models are intrinsically limited hypotheses on the behaviour of catchments, models - which attempt to represent real-world behaviour - will always remain imperfect. To make progress on the long road towards improved models, we need demanding tests, i.e. true crash tests. Efficient testing requires large and varied data sets to develop and assess hydrological models, to ensure their generality, to diagnose their failures, and ultimately, help improving them.

引用

页码：1757 / 1764

页数：8

共 50 条

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[2] What is really undermining hydrologic science today? [J].