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The impact of horizontal heterogeneities, cloud fraction, and liquid water path on warm cloud effective radii from CERES-like Aqua MODIS retrievals

机译:水平异质性,云分数和液态水路径对来自Ceres-like Aqua Revis检索的温暖云有效半径的影响

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The impact of horizontal heterogeneities, liquid water path (LWP from AMSR-E), and cloud fraction (CF) on MODIS cloud effective radius (re), retrieved from the 2.1 μm (re2.1) and 3.8 μm (re3.8) channels, is investigated for warm clouds over the southeast Pacific. Values of re retrieved using the CERES algorithms are averaged at the CERES footprint resolution (20 km), while heterogeneities (H) are calculated as the ratio between the standard deviation and mean 0.64 μm reflectance. The value of re2.1 strongly depends on CF, with magnitudes up to 5 μm larger than those for overcast scenes, whereas re3.8 remains insensitive to CF. For cloudy scenes, both re2.1 and re3.8 increase with H for any given AMSR-E LWP, but re2.1 changes more than for re3.8. Additionally, re3.8–re2.1 differences are positive (1 μm) for homogeneous scenes (H 45 gm?2, and negative (up to ?4 μm) for larger H. While re3.8–re2.1 differences in homogeneous scenes are qualitatively consistent with in situ microphysical observations over the region of study, negative differences – particularly evinced in mean regional maps – are more likely to reflect the dominant bias associated with cloud heterogeneities rather than information about the cloud vertical structure. The consequences for MODIS LWP are also discussed.
机译:水平的非均质性,液态水路径(从AMSR-E LWP)和云分数(CF)上MODIS云有效半径(重),从2.1微米(RE2.1)检索和3.8微米的影响(re3.8)渠道,是研究了在东南太平洋暖云。使用算法在CERES足迹分辨率(20公里)平均化后的CERES再次检索的值,而不均匀性(H)被作为标准偏差和平均0.64微米反射率之间的比来计算。 RE2.1的值强烈依赖于CF,与大小为5μm以下比那些阴场景较大,而re3.8遗体不敏感的CF.对于阴天的场景,无论是RE2.1和re3.8增加用H对于任何给定AMSR-E LWP,但RE2.1变化超过了re3.8。此外,re3.8-RE2.1差异为正(1微米),用于均匀场景(H 45克?2,和负(最多?4微米),用于较大H.虽然在均匀re3.8-RE2.1差异场景是在过研究的区域原位微物理观测定性一致的,消极的差异 - 平均区域地图特别明证 - 更可能反映与云的异质性,而不是对云的垂直结构信息相关联的主要偏差为MODIS的后果。 LWP进行了讨论。

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