Performance of a rain retrieval algorithm using TRMM data in the Eastern Mediterranean
Performance of a rain retrieval algorithm using TRMM data in the Eastern Mediterranean
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DOI：
10.5194/adgeo-7-321-2006
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发表时间：
2006-05
影响因子：
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通讯作者：
D. Katsanos;N. Viltard;K. Lagouvardos;V. Kotroni
中科院分区：
文献类型：
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作者：
D. Katsanos;N. Viltard;K. Lagouvardos;V. Kotroni
抽象的。本研究的目的是作出区域表征的雨水反演算法BRAIN的性能。该算法根据TRMM卫星上的TRMM微波成像仪（TMI）测量的亮温估计降雨率。在这一阶段的研究中，降雨量的比较，从降水雷达（PR）机载TRMM（2A25版本5）和检索的BRAIN算法的降雨量之间的估计，约30个卫星立交桥在地中海中部和东部在2003年10月至2004年3月期间，以评估在地中海东部地区的算法的行为。BRAIN的建立和测试使用PR雨估计随机分布在整个TRMM采样区域。因此，在特定区域上表征PR和BRAIN之间的差异是有趣的，因为它可能显示一个或另一个工具的一些局部趋势。检查大脑的结果对PR降雨估计似乎是一致的，与以前的结果，即一个有点显着的差异，最高降雨率。这种差异是由一个已知的问题引起的，这个问题影响了基于被动微波辐射计测量的降雨反演，但是一些更高的雷达降雨率也可能受到质疑。作为一个独立的测试，一个很好的相关性之间的降雨检索大脑和照明数据（获得英国气象局。办公室远程检测系统）也是本文的重点。
Abstract. This study aims to make a regional characterization of the performance of the rain retrieval algorithm BRAIN. This algorithm estimates the rain rate from brightness temperatures measured by the TRMM Microwave Imager (TMI) onboard the TRMM satellite. In this stage of the study, a comparison between the rain estimated from Precipitation Radar (PR) onboard TRMM (2A25 version 5) and the rain retrieved by the BRAIN algorithm is presented, for about 30 satellite overpasses over the Central and Eastern Mediterranean during the period October 2003–March 2004, in order to assess the behavior of the algorithm in the Eastern Mediterranean region. BRAIN was built and tested using PR rain estimates distributed randomly over the whole TRMM sampling region. Characterization of the differences between PR and BRAIN over a specific region is thus interesting because it might show some local trend for one or the other of the instrument. The checking of BRAIN results against the PR rain-estimate appears to be consistent with former results i.e. a somewhat marked discrepancy for the highest rain rates. This difference arises from a known problem that affect rain retrieval based on passive microwave radiometers measurements, but some of the higher radar rain rates could also be questioned. As an independent test, a good correlation between the rain retrieved by BRAIN and lighting data (obtained by the UK Met. Office long range detection system) is also emphasized in the paper.