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New Saharan wind observations reveal substantial biases in analysed dust-generating winds

机译:新的撒哈拉风力观测揭示了分析产尘风的重大偏差

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摘要

For the remote Sahara, the Earth's largest dust source, there has always been a near-absence of data for evaluating models. Here, new observations from the Fennec project are used along with Sahelian data from the African Monsoon Multidisciplinary Analysis (AMMA) to give an unprecedented evaluation of dust-generating winds in the European Centre for Medium-Range Weather Forecasts ERA-Interim reanalysis (ERA-I). Consistent with past studies, near-surface, high-speed winds are lacking in ERA-I and the diurnal variability is under-represented. During the summer monsoon season, correlations of ERA-I with observed wind-speed are low (∼0.35 in Sahel and 0.25–0.4 in the Sahara). Fennec data show for the first time that: (1) correlations are reduced even in the Sahara, not directly influenced by the monsoon, (2) the systematic underestimation of observed winds by ERA-I in the summertime Sahel extends into the central Sahara: potentially explaining the failure of global models to capture the observed global dust maximum that occurs over the summertime Sahara (such as CMIP5), and demonstrates that modelled winds must be improved if they are to capture this key feature of the climatology.
机译:对于偏远的撒哈拉沙漠(地球上最大的尘埃源)而言,一直几乎没有用于评估模型的数据。在这里,Fennec项目的新观测结果与非洲季风多学科分析(AMMA)的萨赫勒地区数据一起使用,对欧洲中距离天气预报中心ERA中期再分析(ERA-一世)。与过去的研究一致,ERA-I缺乏近地表高速风,并且日变化量不足。在夏季风季节,ERA-1与观测风速的相关性较低(萨赫勒地区约为0.35,撒哈拉地区约为0.25–0.4)。 Fennec的数据首次表明:(1)即使在撒哈拉沙漠,相关性也降低了,不受季风的直接影响;(2)ERA-I在夏季萨赫勒地区对观测到的风的系统性低估延伸到了撒哈拉沙漠中部:可能解释了整体模型未能捕获夏季撒哈拉沙漠地区观测到的全球最大尘埃的失败(例如CMIP5),并表明如果要捕捉气候的这一关键特征,则必须改进模拟风。

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