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首页> 外文期刊>Nordic hydrology >Investigating the development of shallow snowpacks on arable land, using comprehensive field observations and spatially distributed snow modelling
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Investigating the development of shallow snowpacks on arable land, using comprehensive field observations and spatially distributed snow modelling

机译：使用综合的实地观察和空间分布的积雪模型研究耕地上浅积雪的发展

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>Shallow (<1 m deep) snowpacks on agricultural areas are an important hydrological component in many countries, which determines how much meltwater is potentially available for overland flow, causing soil erosion and flooding at the end of winter. Therefore, it is important to understand the development of shallow snowpacks in a spatially distributed manner. This study combined field observations with spatially distributed snow modelling using the UEBGrid model, for three consecutive winters (2013–2015) in southern Norway. Model performance was evaluated by comparing the spatially distributed snow water equivalent (SWE) measurements over time with the simulated SWE. UEBGrid replicated SWE development at catchment scale with satisfactory accuracy for the three winters. The different calibration approaches which were necessary for winters 2013 and 2015 showed the delicacy of modelling the change in shallow snowpacks. Especially the refreezing of meltwater and prevention of runoff and infiltration of meltwater by frozen soils and ice layers can make simulations of shallow snowpacks challenging.
机译： >在许多国家/地区，农业地区的浅雪（<1 m深）积雪是重要的水文要素，它决定了多少融水有可能用于陆上流动，在冬季结束时造成水土流失和洪水。因此，重要的是要以空间分布的方式了解浅层积雪的发展。这项研究将挪威南部连续三个冬季（2013-2015年）的野外观测与使用UEBGrid模型的空间分布积雪模型相结合。通过将随时间变化的空间分布雪水当量（SWE）测量值与模拟SWE进行比较来评估模型性能。 UEBGrid在三个冬季期间以令人满意的精度复制了流域规模的SWE开发。 2013年和2015年冬季必需的不同校准方法显示出对浅雪堆变化建模的精妙之处。尤其是融化水的重新冻结以及防止冻结土壤和冰层对融水的径流和渗透可能使模拟浅雪堆具有挑战性。

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