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首页> 外文期刊>Journal of Hydrology: Regional Studies >Sensitivity of snowmelt runoff modelling to the level of cloud coverage for snow cover extent from daily MODIS product collection 6
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Sensitivity of snowmelt runoff modelling to the level of cloud coverage for snow cover extent from daily MODIS product collection 6

机译:从日常MODIS产品系列6雪覆盖云覆盖范围对云覆盖程度的敏感性

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Study regionThe Balkhab River Basin in northern AfghanistanStudy FocusSnowmelt is a primary water resource in mountainous regions of the world. Remotely sensed snow cover products are useful for obtaining spatial snow information but have unsolved cloud cover issues. Thus, this study demonstrates (1) a spatiotemporal combination approach for reducing cloud cover and improving the accuracy in snow cover extent (SCE) estimation from 2010 to 2018 using the MODIS daily snow cover product version 6 and (2) the sensitivity of snowmelt runoff modelling to SCE inputs with different levels of cloud cover from 2012 to 2014 using a snowmelt runoff model (SRM).New Hydrological Insights for the RegionThe average cloud coverages of the original MODIS Aqua and Terra daily products for the study region and period were reduced from 37.66 % and 31.88 % to 25.9 % after the spatial combination and to 14.28 % and 8.94 %, respectively, after the temporal combination. The temporal combination with previous and following days yielded a substantial improvement in cloud removal. The sensitivity of the SRM results to the different levels of clouds clearly depicts the gradual improvement in the simulated snowmelt runoffs with a cloud cover reduction in the SCE input. Interestingly, the SRM performances with the direct SCE input from Aqua or Terra products are degraded in some cases compared to those without SCE input in the SRM. Thus, careful attention is needed when directly applying remotely sensed snow cover products as input variables in snow hydrological modelling. The simulated snowmelt runoffs are improved substantially in the melting season in March-May. The snowmelt runoff peaks in May are due to the temperature increase and are mainly responsible for extreme floods in the arid study region. This study contributes further to agricultural water resource management for crop cultivation during the dry season from June to September and to flood protection during the snowmelt runoff peaks in May with a potential hydraulic engineering solution.
机译:研究区北阿富汗北部的巴尔哈布河流域侧侧福史镜是世界上山区的主要水资源。远程感测的雪覆盖产品可用于获得空间雪信息但具有未解决的云覆盖问题。因此,本研究表明(1)使用MODIS日常雪盖产品6和(2)雪花径流的敏感性,表明(1)用于减少云覆盖并提高云覆盖(SCE)估计的准确性的时空组合方法使用雪花径流模型(SRM)从2012年到2014年使用不同级别的云盖板的SCE输入。新的水文洞察力原始MODIS AQUA和TERTA日常产品的平均云覆盖范围从在空间组合后37.66%和31.88%至25.9%,分别在时间组合后分别为14.28%和8.94%。与先前和后天的时间组合产生了云移除的显着提高。 SRM结果对不同云云的敏感性清楚地描绘了模拟雪花径流的逐渐改善,其中云覆盖了SCE输入。有趣的是,与Aqua或Terra产品的直接SCE输入的SRM性能在某些情况下与SRM中没有SCE输入的人进行了降级。因此,当直接施加远程感测的雪覆盖产品作为雪水文建模中的输入变量时需要仔细注意。模拟的雪花径流在3月至5月的熔化季节上得到了改善。 5月份雪花径流峰值是由于温度升高,主要负责干旱研究区域的极端洪水。该研究进一步促进了5月至9月期间旱季作物种植的农业水资源管理,并在5月雪花径流峰值期间洪水保护。

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