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Use of a sodar to improve the forecast of fogs and low clouds on airports

机译:使用声雷达改善对机场雾和低云的预报

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摘要

A sodar was deployed at Roissy-Charles de Gaulle airport near Paris, France, in 2008 with the aim of improving the forecast of low visibility conditions there. During the winter of 2008-2009, an experiment was conducted that showed that the sodar can effectively detect and locate the top of fog layers which is signaled by a strong peak of acoustic reflectivity. The peak is generated by turbulence activity in the inversion layer that contrasts sharply with the low reflectivity recorded in the fog layer below. A specific version of the 1D-forecast model deployed at Roissy for low visibility conditions (COBEL-ISBA) was developed in which fogs' thicknesses are initialized by the sodar measurements rather than the information derived from the down-welling IR fluxes observed on the site. It was tested on data archived during the winters of 2008-2009 and 2009-2010 and compared to the version of the model presently operational. The results show a significant improvement-dissipation times of fogs are better predicted.
机译:2008年,在法国巴黎附近的鲁瓦西戴高乐机场部署了声雷达,目的是改善那里低能见度情况的预报。在2008-2009年冬季,进行了一项实验,结果表明,声雷达可以有效地检测和定位雾层的顶部,这是由声反射率的强峰值表示的。峰值是由反演层中的湍流活动产生的,与下面雾层中记录的低反射率形成鲜明对比。在鲁瓦西针对低能见度条件下开发的一维预测模型的特定版本(COBEL-ISBA),其中雾的厚度是通过声雷达测量来初始化的,而不是从现场观测到的下行红外通量得出的信息。已对2008-2009年和2009-2010年冬季的存档数据进行了测试,并与当前运行的模型版本进行了比较。结果表明,可以更好地预测雾的显着改善时间。

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