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Evaluation of Arctic land snow cover characteristics, surface albedo and temperature during the transition seasons from regional climate model simulations and satellite data

机译:从区域气候模型模拟和卫星数据评估过渡季节北极陆地积雪特征,地表反照率和温度

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摘要

This paper evaluates the simulated Arctic land snow cover duration, snow water equivalent, snow cover fraction, surface albedo and land surface temperature in the regional climate model HIRHAM5 during 2008-2010, compared with various satellite and reanalysis data and one further regional climate model (COSMO-CLM). HIRHAM5 shows a general agreement in the spatial patterns and annual course of these variables, although distinct biases for specific regions and months are obvious. The most prominent biases occur for east Siberian deciduous forest albedo, which is overestimated in the simulation for snow covered conditions in spring. This may be caused by the simplified albedo parameterization (e.g. non-consideration of different forest types and neglecting the effect of fallen leaves and branches on snow for deciduous tree forest). The land surface temperature biases mirror the albedo biases in their spatial and temporal structures. The snow cover fraction and albedo biases can explain the simulated land surface temperature bias of ca. -3 °C over the Siberian forest area in spring.
机译:本文比较了2008-2010年HIRHAM5区域气候模型中模拟的北极陆地积雪持续时间,积雪水当量,积雪分数,地表反照率和地表温度,并与各种卫星和再分析数据以及另一个区域气候模型进行了比较( COSMO-CLM)。 HIRHAM5在这些变量的空间格局和年变化过程中显示出总体一致,尽管在特定区域和月份存在明显的偏差。最明显的偏差发生在西伯利亚东部落叶林反照率,在春季积雪条件的模拟中高估了这一偏差。这可能是由于简化的反照率参数化所致(例如,不考虑不同森林类型,而忽视落叶树森林的落叶和树枝对雪的影响)。地表温度偏差反映了其空间和时间结构中的反照率偏差。积雪分数和反照率偏差可以解释模拟的ca的地表温度偏差。春天在西伯利亚森林地区的温度为-3°C。

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