Development of a Conceptual Snow Sub-Model: Application in Meteorological Stations, Slovakia

IF 0.6 Q4 ENGINEERING, CIVIL
Miroslav Kandera, Roman Výleta
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引用次数: 0

Abstract

Abstract A semi-distributed rainfall-runoff Approximate Redistributive Balance (ARB) model is currently in development as a tool for the assessment and analysis of the water management balance at the level of micro-basins on the territory of Slovakia. For the winter season, it is necessary to supplement the model with a sub-model for calculating the snow water equivalent (SWE) with a comparatively low amount of the input data necessary. Since SWE models generally operate in a daily time step, a new sub-model was developed and tested in monthly and weekly time steps in 30 meteorological stations in the north of Slovakia. When compared in a weekly time step with the snow sub-model of the HBV rainfall-runoff model and when the impact of switching from a monthly to weekly time step on the quality of the runoff simulation was evaluated, the results showed that the snow sub-model does react to sudden snowmelt better when compared to the modified version of the HBV snow sub-model used. Using a weekly time step for the snow sub-model in a monthly ARB model runoff simulation showed an increase of accuracy (NSE change from 0.89 to 0.92) in one case, while maintaining the same level of accuracy in the second one.
概念雪子模型的发展:在斯洛伐克气象站的应用
半分布式降雨径流近似再分配平衡(ARB)模型目前正在开发中,作为评估和分析斯洛伐克境内微流域水管理平衡的工具。对于冬季,需要在输入数据量相对较少的情况下,在模型的基础上增加计算雪水当量(SWE)的子模型。由于SWE模式一般以日为时间步长,因此开发了一种新的子模型,并在斯洛伐克北部30个气象站以月和周为时间步长进行了测试。将每周时间步长与HBV降雨-径流模型的雪子模型进行比较,并评估从每月时间步长切换到每周时间步长对径流模拟质量的影响,结果表明,与使用的HBV雪子模型的修改版本相比,雪子模型对突然融雪的反应更好。在每月ARB模式径流模拟中,雪子模式采用周时间步长,其中一种模式的精度有所提高(NSE从0.89变化到0.92),而另一种模式的精度保持不变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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发文量
21
审稿时长
29 weeks
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