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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Modeling drifting snow in Antarctica with a regional climate model: 1. Methods and model evaluation
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Modeling drifting snow in Antarctica with a regional climate model: 1. Methods and model evaluation

机译:使用区域气候模型模拟南极洲的飘雪:1.方法和模型评估

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To simulate the impact of drifting snow on the lower atmosphere, surface characteristics and surface mass balance (SMB) of the Antarctic ice sheet regional atmospheric climate model (RACMO2.1/ANT) with horizontal resolution of 27 km is coupled to a drifting snow routine and forced by ERA-Interim fields at its lateral boundaries (1989-2009). This paper evaluates the near-surface and drifting snow climate of RACMO2.1/ANT. Modeled near-surface wind speed (squared correlation coefficient R~2 = 0.64) and temperature (R~2 = 0.93) agree well with observations. Wind speed is underestimated in topographically complex areas, where observed wind speeds are locally very high (>20 m s~(-1)). Temperature is underestimated in winter in coastal areas due to an underestimation of downward longwave radiation. Near-surface temperature and wind speed are not significantly affected by the inclusion of drifting snow in the model. In contrast, relative humidity with respect to ice increases in regions with strong drifting snow and becomes more consistent with the observations. Drifting snow frequency is the only observable parameter to directly validate drifting snow results; therefore, we derived an empirical relation for fresh snow density, as a function of wind speed and temperature, which determines the threshold wind speed for drifting snow. Modeled drifting snow frequencies agree well with in situ measurements and novel estimates from remote sensing. Finally, we show that including drifting snow is essential to obtaining a realistic extent and spatial distribution of ablation (SMB < 0) areas.
机译:为了模拟飘雪对低层大气的影响,将水平分辨率为27 km的南极冰盖区域大气气候模型(RACMO2.1 / ANT)的表面特征和表面质量平衡(SMB)与飘雪例程相结合并受到ERA-Interim场在其横向边界处的强迫(1989-2009年)。本文评估了RACMO2.1 / ANT的近地表和飘雪气候。模拟的近地表风速(平方相关系数R〜2 = 0.64)和温度(R〜2 = 0.93)与观测值吻合良好。在地形复杂的地区,风速被低估了,那里观察到的风速局部很高(> 20 m s〜(-1))。由于低估了长波辐射,冬季沿海地区的温度被低估了。模型中包括漂移的雪,对近地表温度和风速没有显着影响。相反,在积雪量大的地区,相对于冰的相对湿度增加,并且与观测值更加一致。飘雪频率是直接验证飘雪结果的唯一可观察参数。因此,我们推导出了新鲜雪密度与风速和温度之间的经验关系,该关系决定了飘雪的阈值风速。建模的漂移雪频率与原位测量和来自遥感的新颖估计非常吻合。最后,我们表明,包括飘雪对于获取切面(SMB <0)区域的实际范围和空间分布至关重要。

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