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首页> 外文期刊>Geophysical Research Letters >Evaluation of ECMWF cloud type simulations at the ARM Southern Great Plains site using a new cloud type climatology
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Evaluation of ECMWF cloud type simulations at the ARM Southern Great Plains site using a new cloud type climatology

机译:使用新的云型气候学在ARM南部大平原地区评估ECMWF云型模拟

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A new method to derive a cloud type climatology is applied to cloud observations over the Southern Great Plains (SGP) Atmospheric Radiation Measurement ( ARM) site and to ECMWF model forecasts, in order to compare model and radar derived cloud type statistics and identify the major deficiencies in model cloud vertical distribution. The results indicate that cirrus and to a lesser extent middle level clouds are the major cloud types missing in the model simulations and that they are missing mostly as parts of multi-type rather than single-type structures. Boundary layer clouds are simulated at approximately the right amounts in the annual mean statistics, but this result comes from the model simulating too little boundary layer cloud in the winter and too much in the summer. Overall, the model forecasts miss about 11% of the total cloud amount, and most of the missing cloud occurs at time periods when multiple cloud types are present in the observations.
机译:一种新的推导云型气候学的方法被应用于南部大平原(SGP)大气辐射测量(ARM)站点的云观测和ECMWF模型预报,以便比较模型和雷达推导的云型统计数据并确定主要模型云垂直分布的缺陷。结果表明,卷云和较小程度的中层云是模型仿真中缺少的主要云类型,并且它们大多作为多型结构而不是单型结构的一部分而丢失。在年平均统计中,边界层云的模拟量大致正确,但是此结果来自于模拟冬季边界层云太少而夏季边界层云太多的模型。总体而言,该模型预测会丢失约11%的总云量,并且大多数丢失的云发生在观测中存在多种云类型的时间段。

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