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A three-step method for estimating the mixing height using ceilometer data from the Helsinki testbed

机译:使用来自赫尔辛基试验台的云高仪数据估算混合高度的三步法

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摘要

A new three-step idealized-profile method to estimate the mixing height from vertical profiles of ceilometer backscattering coefficient is developed to address the weaknesses found with such estimates that are based on the one-step idealized-profile method. This three-step idealized-profile method fits the backscattering coefficient profile of ceilometer measurements into an idealized scaled vertical profile of three error functions, thus having the potential to determine three aerosol layers (one for the surface layer, one for the mixing height, and one for the artificial layer caused by the weakened signal). This three-step idealized-profile method is tested with ceilometer and radiosounding data collected during the Helsinki Testbed campaign (2 January 2006-13 March 2007). Excluding cases with low aerosol concentration in the boundary layer, cases with clouds present, and cases with precipitation present, the resulting dataset consists of 97 simultaneous backscattering coefficient profiles and radiosoundings. The three-step method is compared with the one-step method and other commonly employed algorithms. A strong correlation (correlation coefficient r 5 0.91) between the mixing heights as determined by the three-step method using ceilometer data and those determined from radiosoundings is an improvement over the same correlation using the one-step method (r 5 0.28), as well as the other algorithms. © 2012 American Meteorological Society.
机译:提出了一种新的三步理想化轮廓方法,用于从云高仪反向散射系数的垂直轮廓估计混合高度,以解决基于一步式理想化轮廓方法的这种估计所发现的缺点。这种三步式理想化轮廓方法将云高仪测量的反向散射系数轮廓拟合为具有三个误差函数的理想化缩放垂直轮廓,因此具有确定三个气溶胶层的潜力(一层为表面层,一层为混合高度,以及一种是由于信号减弱导致的人工层)。通过在赫尔辛基试验台运动(2006年1月2日至2007年3月13日)期间收集的云高仪和无线电探测数据,测试了此三步理想化轮廓方法。排除边界层中气溶胶浓度低的情况,存在云的情况和存在降水的情况,所得数据集包括97个同时反向散射系数曲线和无线电声音。将三步法与一步法和其他常用算法进行了比较。与使用单步法(r 5 0.28)的相同相关性相比,通过使用云高仪数据的三步法确定的混合高度与通过无线电声音确定的混合高度之间的强相关性(相关系数r 5 0.91)有所改善。以及其他算法。 ©2012美国气象学会。

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