Verification of Cloud Dynamics and Radiation Database (CDRD) passive microwave precipitation retrieval algorithm using TRMM satellite radar and radiometer measurements over Southern Mediterranean Basin

D. Casella, S. Dietrich, M. Formenton, A. Mugnai, G. Panegrossi, P. Sanò, E. Smith, G. Tripoli
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引用次数: 6

Abstract

A verification study is conducted for the Cloud Dynamics and Radiation Database (CDRD) rainfall algorithm over the southern Mediterranean Basin (25-36° N / 25° W-45° E), based on TRMM Microwave Imager (TMI) passive microwave (PMW) brightness temperature (TB) measurements. The CDRD's required synthetic database is generated from a high resolution, nonhydrostatic cloud resolving model equipped with a precision RTE model. This dual modeling system is used to simulate numerous and precipitating storms over Europe and across the Mediterranean Basin as the database's foundation. Extracted from the simulations for the database are the a priori knowledge variables involving many thousands of synthetic precipitating microphysical-meteorological profiles and their concomitant synthetic multi-frequency PMW TBs. This information provides the probability framework for the CDRD algorithm's Bayesian inversion process and thus the means to relate measured satellite TBs to the most probable rainfall solutions. As the newest algorithm feature, the CDRD scheme makes use of meteorological parameters (tags) of observed precipitation systems, obtained from global NWP model synthesized initialization data, for both precipitation regime recognition and Bayesian retrieval constraints. These two steps effectively reduce non-uniqueness problems in obtaining retrieval solutions. Comparison of TMI-based CDRD retrievals to coincident TRMM Precipitation Radar (PR) retrievals, used as ground truth, provides the means to assess the algorithm's performance and the twofold use of meteorological tag information for control and constraint. PR-retrieved cloud property parameters (e.g., freezing level) are also compared to NWP model tags to further verify algorithm design performance. The verification procedure utilizes a full year (2010) of TMI and PR measurements, indicating CDRD over-ocean and over-land results are within 0.10 and 0.17 mm hr-1 of the PR means, with accompanying 1.24 and 2.94 mm hr-1 rms errors. The CDRD algorithm is also compared to the TRMM TMI facility algorithm (2al2-v7), exhibiting slight improvement over water (in correlation coefficient) and significantly improvement over land. Error statistics indicate CDRD vis-a-vis 2al2 over-land improvements of 78% and 14% in regards to mean error and rms error, respectively.
基于TRMM卫星雷达和辐射计测量的南地中海盆地云动力学和辐射数据库(CDRD)无源微波降水反演算法验证
基于TRMM微波成像仪(TMI)被动微波(PMW)亮度温度(TB)测量,对地中海南部盆地(25-36°N / 25°W-45°E)的云动力学和辐射数据库(CDRD)降雨算法进行了验证研究。CDRD所需的合成数据库是由配备精确RTE模型的高分辨率非流体静力云解析模型生成的。这种双重建模系统用于模拟欧洲和整个地中海盆地的大量降水风暴,作为数据库的基础。从数据库的模拟中提取的先验知识变量涉及成千上万的合成降水微物理气象剖面及其伴随的合成多频PMW tb。这些信息为CDRD算法的贝叶斯反演过程提供了概率框架,从而为将测量到的卫星TBs与最可能的降雨解相关联提供了手段。CDRD方案利用全球NWP模式综合初始化数据获得的观测降水系统气象参数(标签)进行降水状态识别和贝叶斯检索约束,是该算法的最新特征。这两个步骤有效地减少了获取检索解的非唯一性问题。将基于tmi的CDRD检索与同步TRMM降水雷达(PR)检索作为地面真值进行比较,提供了评估算法性能和双重使用气象标签信息进行控制和约束的手段。pr检索的云属性参数(如冻结水平)也与NWP模型标签进行了比较,以进一步验证算法设计性能。验证程序使用了一整年(2010年)的TMI和PR测量数据,表明海洋和陆地上的CDRD结果与PR平均值的均方根误差在0.10和0.17 mm hr-1之间,同时伴有1.24和2.94 mm hr-1的均方根误差。CDRD算法还与TRMM TMI设施算法(2al2-v7)进行了比较,在水面上略有改善(相关系数),在陆地上有显著改善。误差统计数据表明,CDRD相对于2002年陆地上的平均误差和均方根误差分别提高了78%和14%。
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