Improved snow cover model in terrestrial ecosystem models over the Qinghai–Tibetan Plateau
Improved snow cover model in terrestrial ecosystem models over the Qinghai–Tibetan Plateau
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DOI：
10.1016/j.agrformet.2015.12.004
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发表时间：
2016-03
影响因子：
6.2
通讯作者：
W. Yuan;Wenfang Xu;Minna Ma;Shengyun Chen;Wen-jie Liu;Lilun Cui
中科院分区：
文献类型：
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作者：
W. Yuan;Wenfang Xu;Minna Ma;Shengyun Chen;Wen-jie Liu;Lilun Cui
本文研究了覆盖不同海拔的23个气象站的三种积雪模型（SnowMAUS、订正SnowMAUS和SnowFrostIce）。这三种模式都大大高估了积雪深度和积雪日数，因为它们忽略了风速的影响。本研究在SnowMAUS的基础上，引入了风速影响方程，建立了一个新的模型（SnowWind）。对参数反演方法进行了改进，将积雪计算分为积雪和融化两个过程，分别估算两个过程的参数。结果表明，雪风能够以合理的精度估算积雪动态，在很大程度上可以估算积雪深度。更好的反演方法也提高了约束参数的数量和模型的性能。关于积雪日数，区域积雪估计值与基于卫星的积雪产品得出的估计值可比较。该结果表明，雪风模型是一种替代方法，可以模拟大面积的母猪覆盖和深度。
Snow cover is an important land surface variable, especially in the Qinghai–Tibetan Plateau, and profoundly impacts plant phenology, growth, soil respiration and net ecosystem production. However, few studies have been conducted to examine the reliability of current snow cover models in the Qinghai–Tibetan Plateau. This study examined three snow cover models (SnowMAUS, revised SnowMAUS, and SnowFrostIce) across 23 meteorological stations covering a variety of altitudes. All three models substantially overestimated snow cover depth and numbers of days with snow cover because they ignored the impact of wind speed. Based on SnowMAUS, this study has incorporated equations dealing with wind speed impacts to develop a new model (SnowWind). Moreover, the parameter inversion method was improved by separating snow cover calculations into two processes (snow accumulation and melting) and estimating the parameters of the two processes separately. The results showed that SnowWind can estimate snow cover dynamics with reasonable precision of snow cover presence or absence and, to a large extent, snow cover depth. The better inversion method also improved the number of constrained parameters and model performance. Regional estimates of snow cover are comparable with those derived from satellite-based snow cover products with regard to snow cover days. This result shows the SnowWind model is an alternative approach that makes it possible to simulate sow cover and depth over large areas.