作者: N. X. Rao , Y. Takano , S. C. Ou , K. N. Liou
DOI:
关键词: Lidar 、 Brightness temperature 、 Depth sounding 、 Cirrus 、 Meteorology 、 Cloud physics 、 Geography 、 Radar imaging 、 Sky brightness 、 Optical depth 、 Remote sensing
摘要: Abstract : We have developed a detection scheme to identify single and multilayer cirrus cloud systems based on the physical properties of AVHRR Chs, 1-2 reflectances ratios, brightness temperature differences between Chs. 4 5, temperatures. Clear pixels are first separated from cloudy which then classified into three types: cirrus, cirrus/low cloud, low cloud. This has been applied NOAA satellite data collected over FIRE-II-IFO area, Kansas, during nine overpasses within seven observation dates (November - December 1991). validated results against conditions inferred collocated coincident ground-based lidar radar images, balloon-borne replicator data, NCAR-CLASS humidity sounding case-by-case basis. show that considered with these independent complementary measurements. also modified our retrieval for determination optical depth ice crystal size in systems, case study using is reported.