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The impact of different elevation steps on simulation of snow covered area and the resulting runoff variance

机译:不同高程台阶对积雪面积模拟及其径流变化的影响

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This study analyses the impact of vertical model discretisation on modellingsnow covered area and the consequential effects on runoff formation of thesemi-distributed water balance model HQsim. Therefore, the parametersrelevant for snow modelling are varied within the frame of a uniformlydistributed Monte Carlo Simulation (MCS). Since the model is based on thehydrological response unit (HRU) approach, the effect of building the HRUswith different elevation steps (250 m and 500 m) is tested for two alpinecatchments. In total 5000 parameter combinations were generated forsimulation. The results of modelled snow covered area were compared withthirty MODIS (Moderate Resolution Imaging Spectroradiometer) snow cover mapsfor the melting periods in 2003–2011. Based on a contingency table thecomparisons were evaluated by different skill measures. Finally, the paretooptimal parameter settings of each skill measure were detected. Evaluationof runoff variability within the MCS and their pareto optimal runs showreduced variances of model output resulting from an improved simulation ofthe snow covered area.
机译:这项研究分析了垂直模型离散化对积雪区域建模的影响以及对这些半分布式水平衡模型HQsim的径流形成的影响。因此,在均匀分布的蒙特卡洛模拟(MCS)的框架内,与雪建模相关的参数会发生变化。由于该模型基于水文响应单元(HRU)方法,因此针对两个高山流域测试了构建具有不同海拔台阶(250 m和500 m)的HRU的效果。总共生成了5000个参数组合用于仿真。将模拟的积雪区域的结果与2003-2011年融化期的30个MODIS(中等分辨率成像光谱仪)积雪图进行了比较。根据列联表,通过不同的技能指标对比较进行评估。最后,检测每个技能量度的最佳参数设置。对MCS内径流变异性及其最佳运行的评估表明,由于对积雪区域的模拟得到改善,模型输出的方差减小。

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