Development and application of a method for the objective differentiation of fog life cycle phases

Development and application of a method for the objective differentiation of fog life cycle phases
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DOI:
10.3402/tellusb.v65i0.19971
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发表时间:
2013-06
期刊:
Tellus B: Chemical and Physical Meteorology
影响因子:
--
通讯作者:
Frank H. Maier;J. Bendix;B. Thies
Frank H. Maier;J. Bendix;B. Thies
中科院分区:
其他
文献类型:
--
作者:
Frank H. Maier;J. Bendix;B. Thies

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根据可靠的标准对辐射雾在其生命周期中的不同演变阶段进行客观分类,对于各种应用至关重要,例如雾的数值模拟和雾的预报。然而,到目前为止,只有定性的方法来区分辐射雾的不同演化阶段。利用光学粒子计数器对雾的微物理特性进行了测量,并对雾的水平能见度(维斯)进行了统计分析,以确定具有一致微物理特性的辐射雾的各个演化阶段。所开发的三阶段方法是基于统计变点分析的双和曲线的维斯,液态水含量,液滴浓度和平均半径的滴尺寸分布。结果表明,无论是考虑维斯还是微物理特性,所记录的三次辐射雾都可以分为从形成到消散的三个连续阶段。由于具有一致的微物理模式,可以假设,单次雾发生的三个分离阶段可以聚合为辐射雾。虽然这种分类在统计上是可靠的,但数据集仍然需要扩展,以便对分离的进化阶段进行概括。
An objective classification of radiation fog in distinct evolutionary stages during its life cycle based on reliable criteria is essential for various applications, for example for numerical fog modelling and fog forecasting. However, there have been – up to now – merely qualitative approaches for the distinction of different evolutionary stages in radiation fog. Measurements of the microphysical fog properties with an optical particle counter obtained from droplet measurement technologies together with recordings of the horizontal visibility (VIS) are statistically analyzed to determine individual evolutionary stages of radiation fog with consistent microphysical properties. The developed three-stage approach is based on a statistical change point analysis of the double sum curves of the VIS, the liquid water content, the droplet concentration and the mean radius of the drop size distributions. It could be shown that each of the three recorded radiation fog occurrences could be split into three consecutive phases from formation to dissipation, regardless whether the VIS or the microphysical properties were considered. Having featured consistent microphysical patterns, it could be assumed that the three separated phases of the single fog occurrence could be aggregated for radiation fog. Although this classification is statistically reliable, the dataset still has to be extended for a generalization concerning the separated evolutionary stages.