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Stereo cloud-top heights and cloud fraction retrieval from ATSR-2

机译:从ATSR-2提取立体云顶高度和云分数

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摘要

An operational processing system is described for the automated retrieval of\udcloud-top heights (CTHs) and amounts from the Gridded Brightness\udTemperature (GBT) 1 km product derived from the dual view of the Along\udTrack Scanning Radiometer (ATSR-2) instrument onboard the ESA ERS-2\udsatellite. A new stereo matching algorithm, called M4 is described together with\udthe overall processing chain for retrieving cloud-top heights and amounts. M4 is\udbased on the successful stereo matchers, M2 and M3 which have been in\udoperation with the NASA MISR sensor since March 2000 and which have also\udbeen applied to mapping cloud fraction in the polar region using ATSR-2\ud(Cawkwell and Bamber 2002, Cawkwell et al. 2001). Results in companion\udpapers (Naud et al., Denis et al. 2007) describe the accuracy achieved using this\udalgorithm and detailed scene-by-scene results are available from http://\udcloudmap.org under results-.UCL-.ATSR-2 Validation. We assess the impact\udof cloud-top winds on the accuracy of the retrieved cloud-top heights and\udconclude that for most middle and lower tropospheric clouds, cloud-top winds\udwill have little, if any, noticeable impact. We show how ATSR-2 cloud-top\udheights at the different wavelengths (particularly visible compared with thermal\udIR) can sometimes yield information on multi-layer clouds which is unique to\udATSR-2. The processing system has recently been applied to three years of\udASTR-2 GBT data and results are shown. These results are available from the\udBritish Atmospheric Data Centre (http://badc.nerc.ac.uk/data/list_all_datasets.\udhtml?source5data).
机译:描述了一种操作处理系统,用于自动提取\ udcloud-top高度(CTH)和来自网格亮度\ udTemperature(GBT)1 km产品的量,该产品源自“沿\ udTrack扫描辐射计(ATSR-2)”的双重视图ESA ERS-2 \ udsatellite上的仪器。描述了一种称为M4的新的立体匹配算法,以及用于检索云顶高度和数量的整个处理链。 M4基于成功的立体声匹配器M2和M3,自2000年3月起与NASA MISR传感器一起使用,并且已应用于使用ATSR-2 ud绘制极地云成分的映射(Cawkwell和Bamber 2002,Cawkwell等人2001)。配套\ udpaper中的结果(Naud等,Denis等,2007)描述了使用此\ udalgorithm所获得的准确性,详细的场景分析结果可从http:// \ udcloudmap.org中的results-.UCL-下获得。 .ATSR-2验证。我们评估了云顶风对取回的云顶高度的准确性的影响,并得出结论,对于大多数中,低层对流层云,云顶风的影响很小(如果有的话)。我们展示了不同波长的ATSR-2云顶\ udheights(与热\ udIR相比特别可见)有时如何在\ udATSR-2独有的多层云上产生信息。该处理系统最近已应用于\ udASTR-2 GBT数据的三年,并显示了结果。这些结果可从\ ud英国大气数据中心(http://badc.nerc.ac.uk/data/list_all_datasets.\udhtml?source5data)获得。

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