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由研究扫描偏振计通过云侧观测得出的液滴尺寸分布的垂直剖面:对模拟数据的测试

Vertical Profiles of Droplet Size Distributions Derived from Cloud-Side Observations by the Research Scanning Polarimeter: Tests on Simulated Data.

作者信息

Alexandrov Mikhail D, Miller Daniel J, Rajapakshe Chamara, Fridlind Ann, van Diedenhoven Bastiaan, Cairns Brian, Ackerman Andrew S, Zhang Zhibo

机构信息

Department of Applied Physics and Applied Mathematics, Columbia University, 2880 Broadway, New York, NY 10025, USA.

NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USA.

出版信息

Atmos Res. 2020 Jul 15;239. doi: 10.1016/j.atmosres.2020.104924. Epub 2020 Feb 25.

Abstract

The Research Scanning Polarimeter (RSP) is an airborne along-track scanner measuring the polarized and total reflectances with high angular resolution. It allows for accurate characterization of liquid water cloud droplet sizes using the rainbow structure in the polarized reflectance. RSP's observations also provide constraints on the cumulus cloud's 2D cross section, yielding estimates of its geometric shape. In this study for the first time we evaluate the possibility to retrieve vertical profiles of microphysical characteristics along the cloud side by combining these micro- and macrophysical retrieval methods. First we constrain cloud's geometric shape, then for each point on the bright side of its surface we collect data from different scans to obtain the multi-angle polarized reflectance at that point. The rainbow structures of the reflectances from multiple points yield the corresponding droplet size distributions (DSDs), which are then combined into vertical profiles. We present the results of testing the proposed profiling algorithm on simulated data obtained using large eddy simulations and 3D radiative transfer computations. The virtual RSP measurements were used for retrieval of DSD profiles, which then were compared to the actual data from the LES-model output. A cumulus congestus cloud was selected for these tests in preparation for analysis of real measurements made during the Cloud, Aerosol and Monsoon Processes Philippines Experiment (CAMPEx). We demonstrate that the use of the non-parametric Rainbow Fourier Transform (RFT) allows for adequate retrieval of the complex altitude-dependent bimodal structure of cloud DSDs.

摘要

研究扫描偏振计(RSP)是一种机载沿轨迹扫描仪,可高角度分辨率测量偏振反射率和总反射率。它能够利用偏振反射率中的彩虹结构准确表征液态水云滴的大小。RSP的观测还对积云的二维横截面提供了约束,从而得出其几何形状的估计值。在本研究中,我们首次评估了通过结合这些微观和宏观物理反演方法来反演沿云边微物理特征垂直剖面的可能性。首先,我们约束云的几何形状,然后对于其表面亮侧的每个点,我们从不同扫描中收集数据,以获得该点的多角度偏振反射率。多个点的反射率的彩虹结构产生相应的液滴尺寸分布(DSD),然后将其组合成垂直剖面。我们展示了在使用大涡模拟和三维辐射传输计算获得的模拟数据上测试所提出的剖面算法的结果。虚拟RSP测量用于反演DSD剖面,然后将其与LES模型输出的实际数据进行比较。为了准备分析菲律宾云、气溶胶和季风过程实验(CAMPEx)期间进行的实际测量,我们选择了一个积云性积云进行这些测试。我们证明,使用非参数彩虹傅里叶变换(RFT)能够充分反演云DSD复杂的随高度变化的双峰结构。

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