Objective quantitative spatial verification of distributed snow cover simulations - an experiment for the whole of Switzerland

被引:33
作者
Zappa, Massimiliano [1 ]
机构
[1] Swiss Fed Inst Forest Snow & Landscape Res, CH-8903 Birmensdorf, Switzerland
来源
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES | 2008年 / 53卷 / 01期
关键词
distributed hydrological modelling; snow cover; categorical statistics; model verification; NOAA-AVHRR;
D O I
10.1623/hysj.53.1.179
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Skill measures based on 2 x 2 contingency tables were adopted for the quantitative internal verification of snow cover simulations with the distributed hydrological model PREVAH, which provided a high resolution simulation of the hydrological cycle for Switzerland for the 1981-2000 period. Simulated snow cover has been compared to data monitored at 103 stations. The skill measures provide valuable quantitative indications on the correspondence of the modelled and observed values. The analysis with objective scores reveals better model estimates of snow cover presence and distribution in locations above 1000 m a.s.l., relative to lower areas. For explicit spatial verification, 20 NOAA-AVHRR snow cover scenes were compared to the model results. The spatial and temporal differences in the agreement between observed and simulated snow cover patterns were assessed. PREVAH provides reliable snow cover simulations. The results also reveal that scores from 2 x 2 contingency tables provide objective methodological support in the quantitative estimation of the agreement between observed and simulated spatial patterns.
引用
收藏
页码:179 / 191
页数:13
相关论文
共 50 条
[1]  
[Anonymous], 2001, SPATIAL PATTERNS CAT
[2]  
[Anonymous], [No title captured]
[3]  
APFL G, 2001, HYDROLOGICAL ATLAS S
[4]   TOWARDS AN INTEGRATED GEOGRAPHIC ANALYSIS SYSTEM WITH REMOTE-SENSING, GIS AND CONSECUTIVE MODELING FOR SNOW COVER MONITORING [J].
BAUMGARTNER, MF ;
APFL, G .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1994, 15 (07) :1507-1517
[5]   How far can we go in distributed hydrological modelling? [J].
Beven, K .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2001, 5 (01) :1-12
[6]  
Blöschl G, 1999, HYDROL PROCESS, V13, P2149, DOI 10.1002/(SICI)1099-1085(199910)13:14/15<2149::AID-HYP847>3.0.CO
[7]  
2-8
[8]   DISTRIBUTED SNOWMELT SIMULATIONS IN AN ALPINE CATCHMENT .1. MODEL EVALUATION ON THE BASIS OF SNOW COVER PATTERNS [J].
BLOSCHL, G ;
KIRNBAUER, R ;
GUTKNECHT, D .
WATER RESOURCES RESEARCH, 1991, 27 (12) :3171-3179
[9]  
BLOSCHL G, 2002, OSTERREICHISCHE WASS, V54, P16
[10]   Estimating the spatial distribution of snow in mountain basins using remote sensing and energy balance modeling [J].
Cline, DW ;
Bales, RC ;
Dozier, J .
WATER RESOURCES RESEARCH, 1998, 34 (05) :1275-1285