Statistical analysis of microphysical properties and the parameterization of effective radius of warm clouds in Beijing area

Statistical analysis of microphysical properties and the parameterization of effective radius of warm clouds in Beijing area
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北京地区暖云微物理特性统计分析及有效半径参数化

DOI:
10.1016/j.atmosres.2009.04.011
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发表时间:
2009-08
影响因子:
5.5
通讯作者:
--
中科院分区:
地球科学1区
文献类型:
--
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本文总结了2005 - 2006年北京地区75个航班的暖云微物理参数,包括云滴数浓度(Nc)、液态水含量(ql)和有效半径(re)。Cu、Sc、Ac、As和Ns的平均Nc(cm−3)分别为376±290、257±226、147±112、60±35和60±84。许多高Nc的记录超过1000 cm− 3被观察到。大的标准差表明Nc和qin在该区域的变化很大。ql的最大值在Cu和Sc中分别达到1.4 g m− 3和1.0 g m− 3。利用该地区的实测资料,对有效半径的不同参数化进行了检验。有不同的方法来获得表示有效半径和平均体积半径之间的关系的前因子。在Gamma分布下,当前因子用相对离差表示时,在较大的尺度上存在显著的系统误差。固定前因子为1,这是广泛使用的,甚至会产生更大的误差。通过与实测数据的拟合,发现前因子取1.22比前两种方法更好。有效半径进一步参数化为平均体积半径、液态水含量和云滴数浓度的函数。我们建议将有效半径参数化为re,p = 1.20rv+0.22-1.28/rv ~ 2,这是一个实用的、计算量不大的更精确的格式。
In this paper warm cloud microphysical parameters including cloud droplet number concentration (Nc), liquid water content (ql) and effective radius (re) from 75 flights around the Beijing area during 2005 and 2006 are summarized. Average Nc(cm−3) for Cu, Sc, Ac, As and Ns are 376±290, 257±226, 147±112, 60±35 and 60±84, respectively. Many records of high Ncabove 1000 cm−3are observed. The large standard deviations indicate a large variation of Ncand qlin this region. The maxima of qlreach 1.4 g m−3in Cu and 1.0 g m−3in Sc, respectively. Different parameterizations of effective radius are examined with the in-situ data in this area. There are different ways to obtain the prefactor representing the relationship between effective radius and mean volume radius. Significant systematic errors are found to be at the large sizes when the prefactor is expressed with relative dispersion under the Gamma Distribution. Fixed prefactor of 1, which was widely used, even produces much larger error. A prefactor of 1.22 is found to be better than the former two methods by fitting with the observed data. The effective radius is further parameterized as functions of mean volume radius, liquid water content and cloud droplet number concentration. We suggest that the effective radius can be parameterized as re,p≈1.20rv+0.22–1.28/rv2, which is a practical and more accurate scheme without too much computation complexity.
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