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全球海洋上液态云的中分辨率成像光谱仪(MODIS)云特性反演失败的频率及原因

Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans.

作者信息

Cho Hyoun-Myoung, Zhang Zhibo, Meyer Kerry, Lebsock Matthew, Platnick Steven, Ackerman Andrew S, Di Girolamo Larry, C-Labonnote Laurent, Cornet Céline, Riedi Jerome, Holz Robert E

机构信息

Joint Center of Earth Systems Technology Baltimore Maryland USA.

Joint Center of Earth Systems Technology Baltimore Maryland USA; Physics Department University of Maryland, Baltimore County Baltimore Maryland USA.

出版信息

J Geophys Res Atmos. 2015 May 16;120(9):4132-4154. doi: 10.1002/2015JD023161. Epub 2015 May 9.

Abstract

Moderate Resolution Imaging Spectroradiometer (MODIS) retrieves cloud droplet effective radius ( ) and optical thickness () by projecting observed cloud reflectances onto a precomputed look-up table (LUT). When observations fall outside of the LUT, the retrieval is considered "failed" because no combination of and within the LUT can explain the observed cloud reflectances. In this study, the frequency and potential causes of failed MODIS retrievals for marine liquid phase (MLP) clouds are analyzed based on 1 year of Aqua MODIS Collection 6 products and collocated CALIOP and CloudSat observations. The retrieval based on the 0.86 µm and 2.1 µm MODIS channel combination has an overall failure rate of about 16% (10% for the 0.86 µm and 3.7 µm combination). The failure rates are lower over stratocumulus regimes and higher over the broken trade wind cumulus regimes. The leading type of failure is the " too large" failure accounting for 60%-85% of all failed retrievals. The rest is mostly due to the " too small" or retrieval failures. Enhanced retrieval failure rates are found when MLP cloud pixels are partially cloudy or have high subpixel inhomogeneity, are located at special Sun-satellite viewing geometries such as sunglint, large viewing or solar zenith angles, or cloudbow and glory angles, or are subject to cloud masking, cloud overlapping, and/or cloud phase retrieval issues. The majority (more than 84%) of failed retrievals along the CALIPSO track can be attributed to at least one or more of these potential reasons. The collocated CloudSat radar reflectivity observations reveal that the failed retrievals are often precipitating. It remains an open question whether the extremely large values observed in these clouds are the consequence of true cloud microphysics or still due to artifacts not included in this study.

摘要

中分辨率成像光谱仪(MODIS)通过将观测到的云反射率投影到预先计算的查找表(LUT)中来反演云滴有效半径( )和光学厚度( )。当观测值落在查找表范围之外时,反演被视为“失败”,因为查找表内没有 和 的组合能够解释观测到的云反射率。在本研究中,基于1年的Aqua MODIS Collection 6产品以及同步的CALIOP和CloudSat观测数据,分析了海洋液相(MLP)云的MODIS反演失败的频率和潜在原因。基于MODIS 0.86 µm和2.1 µm通道组合的反演总体失败率约为16%(0.86 µm和3.7 µm组合的失败率为10%)。层积云区域的失败率较低,而信风积云破碎区域的失败率较高。主要的失败类型是“ 过大”失败,占所有失败反演的60% - 85%。其余大部分是由于“ 过小”或 反演失败。当MLP云像素部分多云或具有高亚像素不均匀性、位于特殊的太阳 - 卫星观测几何条件下(如镜面反射、大观测或太阳天顶角,或云虹和荣耀角),或受到云掩膜、云重叠和/或云相位反演问题影响时,反演失败率会增加。沿CALIPSO轨道的失败反演中,大多数(超过84%)可归因于这些潜在原因中的至少一个或多个。同步的CloudSat雷达反射率观测表明,失败反演的云通常正在降水。这些云中观测到的极大 值是真实云微物理的结果还是仍归因于本研究未包含的伪像,仍是一个悬而未决的问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2e/5012132/4121b0c7f224/JGRD-120-4132-g001.jpg

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