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Detection of Multilayer Cirrus Cloud Systems Using AVHRR Data: Verification Basedon FIRE II IFO Composite Measurements

机译:使用aVHRR数据检测多层卷云系统:基于FIRE II IFO复合测量的验证

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A numerical scheme has been developed to identify multilayer cirrus cloud systemsusing Advanced Very High Resolution Radiometer (AVHRR) data. It is based on the physical properties of the AVHRR channels 1-2 reflectance ratios, the brightness temperature differences between channels 4 and 5, and the channel 4 brightness temperatures. In this scheme, clear pixels are first separated from cloudy pixels, which are then classified into three types: cirrus, cirrus low cloud, and low clouds The authors have applied this scheme to the satellite data collected over the FIRE II IFO (First ISCCP (International Satellite Cloud Climatology Project) Regional Experiment II intensive field observation) area during nine overpasses within seven observation dates. Determination of the threshold values used in the detection scheme are based on statistical analyses of these satellite data. The authors have validated the detection results against the cloudy conditions inferred from the collocated and coincident ground based lidar and radar images, balloonbome replicator data, and National Center for At:mospheric Research CLASS (Cross chain Loran Atmospheric Sounding System) humidity soundings on a case by case basis. In every case, the satellite detection results are consistent with the cloudy conditions inferred from these independent and complementary measurements.

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