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Large-Scale Analysis of Cirrus Clouds from AVHRR Data: Assessment of Both a Microphysical Index and the Cloud-Top Temperature

机译:利用AVHRR数据进行卷云的大规模分析:微观物理指数和云顶温度的评估

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An algorithm that allows an automatic analysis of cirrus properties from Advanced Very High Resolution Radiometer (AVHRR) observations is presented. Further investigations of the information content and physical meaning of the brightness temperature differences (BTD) between channels 4(11 μm) and 5 (12 μm) of the radiometer have led to the development of an automatic procedure to provide global estimates both of the cirrus cloud temperature and of the ratio of the equivalent absorption coefficientsin the two channels, accounting for scattering effects. The ratio is useful since its variations are related to differences in microphysical properties. Assuming that cirrus clouds are composed of ice spheres, the effective diameter of the particle sizedistribution can be deduced from this microphysical index. The automatic procedure includes first, a cloud classification and a selection of the pixels corresponding to the envelope of the BTD diagram observed at a scale of typically 100 X 100 pixels. The classification, which uses dynamic cluster analysis, takes into account spectral and spatial properties of the AVHRR pixels. The selection is made through a series of tests, which also guarantees that the BTD diagram contains the necessary information, such as the presence of both cirrus-free pixels and pixels totally covered by opaque cirrus in the same area. Finally, the cloud temperature and the equivalent absorption coefficient ratio are found by fitting the envelope of the BTD diagram with a theoretical curve. Note that the method leads to the retrieval of the maximum value of the equivalent absorption coefficient ratio in the scene under consideration. This, in turn, corresponds to the minimum value of the effective diameter of the size distribution of equivalent Mie particles. The automatic analysis has been applied to a series of 21 AVHRR images acquired during the International Cirrus Experiment (ICE'89). Although the dataset is obviously much too limited to draw any conclusion at the global scale, it is large enough to permit derivation of cirrus properties that are statistically representative of the cirrus systems contained therein. The authors found that on average, the maximum equivalent absorption coefficient ratio increases with the cloud-top temperature with a jump between 235 and 240 K. More precisely, for cloud temperatures warmer than 235 K, the retrieved equivalent absorption coefficient ratio sometimes corresponds to very small equivalent spheres (diameter smaller than 20 μm). This is never observed for lower cloud temperatures. This change in cirrus microphysical properties points out that ice crystal habits may vary from one temperature regime to another. It may be attributed to a modification of the size and/or shape of the particles.
机译:提出了一种算法,该算法可以根据超高分辨率高分辨率辐射计(AVHRR)观测值自动分析卷云特性。对辐射计通道4(11μm)和5(12μm)通道之间的亮度温度差(BTD)的信息内容和物理含义的进一步研究导致了自动程序的发展,该程序可提供两个卷云的全局估计云的温度和两个通道的等效吸收系数之比,说明了散射效应。该比率是有用的,因为其变化与微物理性质的差异有关。假定卷云由冰球组成,则可以从该微物理指数推导出粒径分布的有效直径。自动过程首先包括云分类和以典型的100 X 100像素的比例观察对应于BTD图的包络的像素的选择。使用动态聚类分析的分类考虑了AVHRR像素的光谱和空间属性。通过一系列测试进行选择,这也确保了BTD图包含必要的信息,例如在同一区域中同时存在无卷云像素和完全由不透明卷云覆盖的像素。最后,通过将BTD图的包络线与理论曲线拟合,可以找到云温度和等效吸收系数比。注意,该方法导致在所考虑的场景中检索等效吸收系数比的最大值。这又对应于等效米氏粒子的尺寸分布的有效直径的最小值。自动分析已应用于在国际卷云实验(ICE'89)期间获得的一系列21张AVHRR图像。尽管数据集显然太局限了,无法在全球范围内得出任何结论,但它足够大,可以推导在统计上代表其中包含的卷云系统的卷云特性。作者发现,平均最大吸收系数比随着云顶温度的增加而增加,跃迁在235和240 K之间。更准确地说,对于温度高于235 K的云温度,检索到的等效吸收系数比有时对应于较小的等效球体(直径小于20μm)。较低的云温度从未观测到过。卷云微观物理特性的这种变化指出,冰晶习性可能在一个温度范围内随另一温度范围而变化。这可以归因于颗粒尺寸和/或形状的改变。

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