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Radiation fog formation alerts using attenuated backscatter power from automatic lidars and ceilometers

机译:使用自动激光雷达和云高仪的后向散射衰减功率,形成辐射雾警报

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Radiation fog occurs over many locations around the world in stable atmospheric conditions. Air traffic at busy airports can be significantly disrupted because low visibility at the ground makes it unsafe to take off, land and taxi on the ground. Current numerical weather prediction forecasts are able to predict general conditions favorable for fog formation, but not the exact time or location of fog occurrence. A selected set of observations available in near-real time at strategic locations could also be useful to track the evolution of key processes and key parameters that drive fog formation. Such observations could complement the information predicted by numerical weather prediction (NWP) models that is made available to airport forecasters in support of their fog forecast. This paper presents an experimental setup based on collocated automatic lidar and ceilometer measurements, relative humidity measurements and horizontal visibility measurements to study hygroscopic growth of fog condensation nuclei. This process can take several minutes to hours, and can be tracked using lidar- or ceilometer-attenuated backscatter profiles. Based on hygroscopic growth laws we derive a set of parameters that can be used to provide alerts minutes to hours prior to formation of radiation fog. We present an algorithm that uses the temporal evolution of attenuated backscatter measurements to derive pre-fog formation alerts. The performance of the algorithm is tested on 45 independent pre-fog situations at two locations (near Paris, France, and Brussels, Belgium). We find that an alert for pre-fog conditions predominantly occurs 10–50?min prior to fog formation at an altitude ranging 0 to 100?m above ground. In a few cases, alerts can occur up to 100?min prior to fog formation. Alert durations are found to be sensitive to the relative humidity conditions found a few hours prior to the fog.
机译:在稳定的大气条件下,世界各地都有辐射雾发生。繁忙机场的空中交通可能会受到严重干扰,因为地面低能见度使其在地面上起飞,降落和滑行都不安全。当前的数值天气预报能够预测有利于雾形成的一般条件,但不能预测雾发生的确切时间或位置。在战略位置近乎实时可用的一组选定观测值也可能有助于跟踪驱动雾形成的关键过程和关键参数的演变。这样的观测结果可以补充由数值天气预报(NWP)模型预测的信息,该模型已提供给机场预报员以支持其雾预报。本文介绍了一种基于并置自动激光雷达和云高仪测量,相对湿度测量和水平能见度测量的实验装置,以研究雾凝结核的吸湿性增长。此过程可能需要几分钟到几小时,并且可以使用激光雷达或云高仪衰减的反向散射剖面进行跟踪。根据吸湿性生长规律,我们得出了一组参数,可用于在辐射雾形成之前的几分钟到几小时内提供警报。我们提出一种算法,该算法使用衰减后向散射测量的时间演变来导出雾前形成警报。在两个位置(法国巴黎附近和比利时布鲁塞尔附近)的45个独立的预雾情况下测试了该算法的性能。我们发现,在距地面0至100μm的高度形成雾之前,主要会在雾形成前10-50分钟发生预警。在某些情况下,警报可能会在雾形成之前的100分钟内发生。发现警报持续时间对大雾前几小时的相对湿度条件敏感。

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