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Impacts of cloud heterogeneities on cirrus optical properties retrieved from space-based thermal infrared radiometry

机译:云异质性对从天基热红外辐射学获得的卷云光学特性的影响

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摘要

This paper presents a study, based on simulations, of the impact of cirrus cloud heterogeneities on the retrieval of cloud parameters (optical thickness and effective diameter) for the Imaging Infrared Radiometer (IIR) on board CALIPSO. Cirrus clouds are generated by the stochastic model 3DCLOUD for two different cloud fields and for several averaged cloud parameters. One is obtained from a cirrus observed on the 25 May 2007 during the airborne campaign CIRCLE-2 and the other is a cirrus uncinus. The radiative transfer is simulated with the code 3DMCPOL. To assess the errors due to cloud heterogeneities, two related retrieval algorithms are used: (i) The split window technique to retrieve the ice crystal effective diameter and (ii) an algorithm similar to the IIR operational algorithm to retrieve the effective emissivity and the effective optical thickness. Differences between input parameters and retrieved parameters are compared as a function of different cloud properties such as the mean optical thickness, the heterogeneity parameter and the effective diameter. The optical thickness heterogeneity for each 1 km × 1 km observation pixel is represented by the optical thickness standard deviation computed using 100 m × 100 m subpixels. We show that optical thickness heterogeneity may have a strong impact on the retrieved parameters, mainly due to the Plane Parallel Approximation (PPA). In particular, for cirrus cloud with ice crystal size of approximately 10 μm, the averaged error on the retrieved effective diameter is about 2.5 μm (~ 25%) and on the effective optical thickness of about −0.20 (~ 12%). Then, these biases decrease with the increase of the ice effective size due to a decrease of the cloud absorption and thus of the PPA bias. Cloud heterogeneity effects are much more higher than other possible sources of error. They become larger than the retrieval incertitude of the IIR algorithm from a standard deviation of the optical thickness, inside the observation pixel, superior to 1.
机译:本文基于模拟,对卷云异质性对CALIPSO板载成像红外辐射仪(IIR)的云参数(光学厚度和有效直径)的取回的影响进行了研究。卷云是由随机模型3DCLOUD为两个不同的云字段和几个平均云参数生成的。一种是从2007年5月25日的CIRCLE-2空降战役中观察到的卷云获得的,另一种是uncinus卷云。辐射传输用代码3DMCPOL模拟。为了评估由于云异质性引起的误差,使用了两种相关的检索算法:(i)分割窗口技术以检索冰晶有效直径,以及(ii)与IIR运算算法相似的算法以检索有效发射率和有效光学厚度。根据不同云特性(例如平均光学厚度,非均质性参数和有效直径)对输入参数和检索到的参数之间的差异进行比较。每个1 km×1 km观察像素的光学厚度异质性由使用100 m×100 m子像素计算的光学厚度标准偏差表示。我们表明,光学厚度异质性可能对检索到的参数有很大的影响,这主要归因于平面平行近似(PPA)。特别是,对于冰晶尺寸约为10μm的卷云,所获得的有效直径的平均误差约为2.5μm(〜25%),有效光学厚度的平均误差约为-0.20(〜12%)。然后,由于云吸收的减少以及PPA偏差的减小,这些偏差随着冰有效尺寸的增加而减小。云异质性影响远高于其他可能的错误源。根据观察像素内部光学厚度的标准偏差,它们大于IIR算法的检索精度,优于1。

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