Estimation of Continental-Basin-Scale Sublimation in the Lena River Basin, Siberia
Estimation of Continental-Basin-Scale Sublimation in the Lena River Basin, Siberia
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DOI：
10.1155/2015/286206
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发表时间：
2015-03
影响因子：
2.9
通讯作者：
Kazuyoshi Suzuki;G. Liston;K. Matsuo
中科院分区：
文献类型：
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作者：
Kazuyoshi Suzuki;G. Liston;K. Matsuo
西伯利亚的勒拿河流域是流入北冰洋的最大河流之一。春季融雪是黄河径流最重要的来源之一，因此积雪消融过程对该流域具有重要意义。在本研究中，我们利用MicroMet/SnowModel和SnowAssim在流域尺度上对这些过程进行了精细分辨率模拟。为了在SnowAssim中吸收雪水当量（SWE）数据，我们使用常规的日雪深数据和Sturm的方法。在对该方法进行流域SWE估算的验证之后，我们评估了积雪资料同化对流域尺度积雪消融的影响。通过对MODIS积雪数据和现场积雪调查观测数据的验证，我们发现由于SWE数据的估计误差，SnowAssim无法改善MicroMet/SnowModel的原始模拟。植被和累计降雪量控制着升华的空间分布，确定了升华对积雪消融的重要影响。研究发现，森林升华与降雪量之比约为26%，升华的年际变化调节了春季河流径流。
The Lena River basin in Siberia produces one of the largest river inflows into the Arctic Ocean. One of the most important sources of runoff to the river is spring snowmelt and therefore snow ablation processes have great importance for this basin. In this study, we simulated these processes with fine resolution at basin scale using MicroMet/SnowModel and SnowAssim. To assimilate snow water equivalent (SWE) data in SnowAssim, we used routine daily snow depth data and Sturm’s method. Following the verification of this method for SWE estimation in the basin, we evaluated the impact of snow data assimilation on basin-scale snow ablation. Through validation against MODIS snow coverage data and in situ snow survey observations, we found that SnowAssim could not improve on the original simulation by MicroMet/SnowModel because of estimation errors within the SWE data. Vegetation and accumulated snowfall control the spatial distribution of sublimation and we established that sublimation has an important effect on snow ablation. We found that the ratio of sublimation to snowfall in forests was around 26% and that interannual variation of sublimation modulated spring river runoff.