Partitioning of cloud water and rainwater content by ground‐based observations with the Advanced Microwave Radiometer for Rain Identification (ADMIRARI) in synergy with a micro rain radar
Partitioning of cloud water and rainwater content by ground‐based observations with the Advanced Microwave Radiometer for Rain Identification (ADMIRARI) in synergy with a micro rain radar
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DOI：
10.1029/2011jd016579
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发表时间：
2012-03
影响因子：
--
通讯作者：
P. Saavedra;A. Battaglia;C. Simmer
中科院分区：
文献类型：
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作者：
P. Saavedra;A. Battaglia;C. Simmer
[1]利用多频双极化先进微波辐射计(ADMERARI)从被动微波观测中同时反演云和雨的液态水汽路径和总水汽。从指向同一观测方向的微雨雷达(MRR)采集了30°仰角下的线偏振亮温数据集和24.1 GHz的倾斜雷达反射率廓线。倾斜路径积分值通过贝叶斯反演方法进行反演，其质量通过基于模拟的检索灵敏度研究来评估。该算法通过考虑来自MRR观测的雨柱结构信息来包括物理约束。分析了2008年8月23日至11月12日在荷兰卡博获得的测量和导出的路径综合水分量估计值。在降雨云条件下，水汽、云中液态水路径和雨中液态水路径的天顶归一化均方根误差分别为1.5 4kgm�2、144gm�2和5 2gm�2。在此基础上，首次给出了地面辐射计获得的中纬度降水云云水-雨水分配的长期估计分布。引用：Saavedra，P.，A.Battaglia，和C.Simmer(2012)，通过与微雨雷达协同使用的高级微波识别降雨辐射计(ADMERARI)的地面观测来划分云水和雨水含量，J.GePhys。D05203，DOI：10.1029/2011JD016579。
[1] Cloud and rain liquid water path and total water vapor are retrieved simultaneously from passive microwave observations with the multifrequency dual-polarized Advanced Microwave Radiometer for Rain Identification (ADMIRARI). A data set of linearly polarized brightness temperatures has been collected at 30° elevation angle together with slant radar reflectivity profiles at 24.1 GHz from a micro rain radar (MRR) pointing into the same viewing direction. The slant path integrated values are retrieved via a Bayesian inversion approach, the quality of which is evaluated by a simulation-based retrieval sensitivity study. The algorithm includes a physical constraint by taking into account the rain column structural information from the MRR observations. Measurements and derived path-integrated water component estimates from 23 August to 12 November 2008, obtained in Cabauw, Netherlands, are analyzed. During raining cloud conditions the zenith-normalized root-mean-square error for water vapor, cloud liquid water path, and rain liquid water path are, on average, estimated to 1.54 kg m � 2 , 144 g m � 2 , and 52 g m � 2 , respectively. On the basis of these results, long-term estimated distributions of cloud water–rainwater partitioning for midlatitude precipitating clouds are presented for the first time as obtained by a ground-based radiometer. Citation: Saavedra, P., A. Battaglia, and C. Simmer (2012), Partitioning of cloud water and rainwater content by ground-based observations with the Advanced Microwave Radiometer for Rain Identification (ADMIRARI) in synergy with a micro rain radar, J. Geophys. Res., 117, D05203, doi:10.1029/2011JD016579.