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Nighttime polar cloud detection with MODIS

机译:使用MODIS进行夜间极地云探测

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摘要

Cloud detection is the first step in studying the role of polar clouds in the global climate system with satellite data. In this paper, the cloud detection algorithm for the Moderate Resolution Imaging Spectrometer (MODIS) is evaluated with model simulations and satellite data collocated with radar/lidar observations at three Arctic and Antarctic stations. Results show that the current MODIS cloud mask algorithm performs well in polar regions during the day but does not detect more than 40% of the cloud cover over the validation sights at night. Two new cloud tests utilizing the 7.2 μm water vapor and 14.2 μm carbon dioxide bands, one new clear-sky test using the 7.2μm band, and changes to the thresholds of several other tests are described. With the new cloud detection procedure, the misidentification of cloud as clear decreases from 44.2% to 16.3% at the two Arctic stations, and from 19.8% to 2.7% at the Antarctic station.
机译:利用卫星数据研究极地云在全球气候系统中的作用是第一步。在本文中,对中分辨率成像光谱仪(MODIS)的云检测算法进行了评估,其中包括模型仿真以及卫星数据与三个北极和南极站的雷达/雷达观测资料的并置。结果表明,当前的MODIS云遮罩算法在白天在极地地区表现良好,但在夜间的验证范围内检测不到超过40%的云层。描述了两个使用7.2μm水蒸气和14.2μm二氧化碳带的新云测试,一个使用7.2μm二氧化碳带的新晴空测试以及其他几个测试的阈值变化。通过新的云探测程序,两个北极站对云的误认从清晰的错误率从44.2%降低到16.3%,在南极站则从19.8%降低到2.7%。

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