Thermodynamic phase retrieval of convective clouds: impact of sensor viewing geometry and vertical distribution of cloud properties
Thermodynamic phase retrieval of convective clouds: impact of sensor viewing geometry and vertical distribution of cloud properties
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DOI：
10.5194/amt-6-539-2013
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发表时间：
2013-01-01
影响因子：
3.8
通讯作者：
Wendisch, M.
中科院分区：
文献类型：
--
作者：
Jaekel, E.;Walter, J.;Wendisch, M.
通过三维（3-D）辐射传输模拟，研究了被动遥感测量对对流云的微物理参数，特别是其热力学阶段的灵敏度。研究了不同观测几何形状和垂直分布对云微物理特性的影响。在近红外（NIR）光谱范围内，由云层侧面（被动）反射的光谱太阳辐射的测量实例与激光雷达（主动）的配位观测一起进行。区分云热力相（液态水或冰）的检索方法利用了近红外中水云和冰云云侧反射率光谱的不同斜率。同步去极化后向散射激光雷达提供了云的距离和高度以及去极化的几何信息。
The sensitivity of passive remote sensing measurements to retrieve microphysical parameters of convective clouds, in particular their thermodynamic phase, is investigated by three-dimensional (3-D) radiative transfer simulations. The effects of different viewing geometries and vertical distributions of the cloud microphysical properties are investigated. Measurement examples of spectral solar radiance reflected by cloud sides (passive) in the near-infrared (NIR) spectral range are performed together with collocated lidar observations (active). The retrieval method to distinguish the cloud thermodynamic phase (liquid water or ice) exploits different slopes of cloud side reflectivity spectra of water and ice clouds in the NIR. The concurrent depolarization backscattering lidar provides geometry information about the cloud distance and height as well as the depolarization.