Evaluation of the Snowmelt Runoff Model in the Moroccan High Atlas Mountains using two snow-cover estimates

被引:78
作者
Boudhar, Abdelghani [1 ]
Hanich, Lahoucine [1 ]
Boulet, Gilles [2 ]
Duchemin, Benoit [2 ]
Berjamy, Brahim [3 ]
Chehbouni, Abdelghani [2 ]
机构
[1] Fac Sci & Tech Marrakech, Marrakech, Morocco
[2] Univ Toulouse, CESBIO, CNRS, CNES,IRD, F-31401 Toulouse 9, France
[3] Agence Bassin Hydraul Tensift, Marrakech, Morocco
来源
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES | 2009年 / 54卷 / 06期
关键词
snow mapping; SPOT-VEGETATION; snowmelt runoff modelling; High Atlas Mountains; Morocco; DATA ASSIMILATION; SEMIARID REGIONS; WATER-BALANCE; UNCERTAINTY; CALIBRATION; ENVIRONMENT; PREDICTION; HYDROLOGY; FORECASTS; PRODUCTS;
D O I
10.1623/hysj.54.6.1094
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
In the centre of Morocco, the High Atlas mountain range represents the most important water storage for the neighbouring arid plains through liquid and solid precipitation. In this context, we evaluated the performance of the Snowmelt Runoff Model (SRM) on the five main tributary watersheds of the High Atlas range. Due to the very low density of climate stations in the High Atlas, snowfall and snowmelt processes are difficult to monitor using meteorological data alone. In order to compensate for the lack of in situ data, snow maps are also derived from remotely-sensed data. We compared the streamflow forecasting performance when the model is driven by one or the other estimate of snow-covered area. Both estimates are generally comparable in all watersheds, and satisfactory streamflow simulations were obtained at seasonal time scales using both snow-cover products. However, significant differences can be observed for selected storms, with more accurate streamflow predictions being obtained when the remotely-sensed data are used.
引用
收藏
页码:1094 / 1113
页数:20
相关论文
共 61 条
[1]   Assimilating remotely sensed snow observations into a macroscale hydrology model [J].
Andreadis, Konstantinos M. ;
Lettenmaier, Dennis P. .
ADVANCES IN WATER RESOURCES, 2006, 29 (06) :872-886
[2]  
Bergstrom S., 1975, Nord. Hydrol, V6, P73, DOI DOI 10.2166/NH.1975.0006
[3]   PROPHECY, REALITY AND UNCERTAINTY IN DISTRIBUTED HYDROLOGICAL MODELING [J].
BEVEN, K .
ADVANCES IN WATER RESOURCES, 1993, 16 (01) :41-51
[4]   THE FUTURE OF DISTRIBUTED MODELS - MODEL CALIBRATION AND UNCERTAINTY PREDICTION [J].
BEVEN, K ;
BINLEY, A .
HYDROLOGICAL PROCESSES, 1992, 6 (03) :279-298
[5]  
Beven K. J., 2008, ENV MODELLING UNCERT
[6]  
Boudhar Abdelghani, 2007, Secheresse (Montrouge), V18, P278, DOI 10.1684/sec.2007.0100
[7]  
Brasnett B, 1999, J APPL METEOROL, V38, P726, DOI 10.1175/1520-0450(1999)038<0726:AGAOSD>2.0.CO
[8]  
2
[9]   Water resources and environmental change in a Mediterranean environment:: The south-west sector of the Duero river basin (Spain) [J].
Ceballos-Barbancho, Antonio ;
Moran-Tejeda, Enrique ;
Angel Luengo-Ugidos, Miguel ;
Manuel Llorente-Pinto, Jose .
JOURNAL OF HYDROLOGY, 2008, 351 (1-2) :126-138
[10]   Understanding hydrological processes with scarce data in a mountain environment [J].
Chaponniere, A. ;
Boulet, G. ;
Chehbouni, A. ;
Aresmouk, M. .
HYDROLOGICAL PROCESSES, 2008, 22 (12) :1908-1921