HydroTest: A web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts

被引:380
作者
Dawson, C. W. [1 ]
Abrahart, R. J.
See, L. M.
机构
[1] Univ Loughborough, Dept Comp Sci, Loughborough LE11 3TU, Leics, England
[2] Univ Nottingham, Sch Geog, Nottingham NG7 2RD, England
[3] Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England
关键词
hydrological models; performance testing; evaluation metrics;
D O I
10.1016/j.envsoft.2006.06.008
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents details of an open access web site that can be used by hydrologists and other scientists to evaluate time series models. There is at present a general lack of consistency in the way in which hydrological models are assessed that handicaps the comparison of reported studies and hinders the development of superior models. The HydroTest web site provides a wide range of objective metrics and consistent tests of model performance to assess forecasting skill. This resource is designed to promote future transparency and consistency between reported models and includes an open forum that is intended to encourage further discussion and debate on the topic of hydrological performance evaluation metrics. It is envisaged that the provision of such facilities will lead to the creation of superior forecasting metrics and the development of international benchmark time series datasets. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1034 / 1052
页数:19
相关论文
共 101 条
[81]   Modeling of the daily rainfall-runoff relationship with artificial neural network [J].
Rajurkar, MP ;
Kothyari, UC ;
Chaube, UC .
JOURNAL OF HYDROLOGY, 2004, 285 (1-4) :96-113
[82]   Quality assurance in model based water management - review of existing practice and outline of new approaches [J].
Refsgaard, JC ;
Henriksen, HJ ;
Harrar, WG ;
Scholten, H ;
Kassahun, A .
ENVIRONMENTAL MODELLING & SOFTWARE, 2005, 20 (10) :1201-1215
[83]   Modelling guidelines - terminology and guiding principles [J].
Refsgaard, JC ;
Henriksen, HJ .
ADVANCES IN WATER RESOURCES, 2004, 27 (01) :71-82
[84]   Predicting catchment flow in a semi-arid region via an artificial neural network technique [J].
Riad, S ;
Mania, J ;
Bouchaou, L ;
Najjar, Y .
HYDROLOGICAL PROCESSES, 2004, 18 (13) :2387-2393
[85]   ESTIMATING DIMENSION OF A MODEL [J].
SCHWARZ, G .
ANNALS OF STATISTICS, 1978, 6 (02) :461-464
[86]  
SEE L, 1999, P 4 INT C GEOC FRED
[87]   On the need for benchmarks in hydrological modelling [J].
Seibert, J .
HYDROLOGICAL PROCESSES, 2001, 15 (06) :1063-1064
[88]   Application of a neural network technique to rainfall-runoff modelling [J].
Shamseldin, AY .
JOURNAL OF HYDROLOGY, 1997, 199 (3-4) :272-294
[89]   Mathematical modeling of watershed hydrology [J].
Singh, VP ;
Woolhiser, DA .
JOURNAL OF HYDROLOGIC ENGINEERING, 2002, 7 (04) :270-292
[90]   DIRECT OPTIMIZATION OF MUSKINGUM ROUTING COEFFICIENTS - EXTENSION [J].
STEPHENSON, D .
JOURNAL OF HYDROLOGY, 1979, 41 (1-2) :161-165