摘要
采用我国地面报资料、国际船舶报资料和云卫星(CloudSat)产品,分别对多通道动态阈值云检测方法的云检测结果进行了检验。结果表明,动态阈值云检测方法可用于长时间序列卫星观测数据的云检测,不仅运行速度较快,可实现全自动,且精度较高,陆地上空云检测准确率为82.8%(地面报资料),海洋上空云检测准确率为91.5%(船舶报资料)。此外,还利用CloudSat资料检验不同观测时间差对NOAA系列卫星云检测结果检验的影响。
As one of the most successful and extensive polar-orbiting meteorological satellites, NOAA data are widely used in the studies of weather, vegetation index, duststorms and so on. Detection of the cloud presence is the first step of these studies, and its accuracy will directly affect the accuracy of quanti- tative analyses. Almost twenty years from 1988 to 2008, the advanced high resolution radiometer （AVHRR） raw data were collected by China National Satellite Meteorological Center, and their cloud de- tection output by an automated dynamic threshold cloud-masking algorithm have been compared with coin- cident surface weather observations, ship＇s report. The results show that NOAA/AVHRR cloud detection samples are about 82. 8% according with surface weather observation, and approximately 91. 5% with ship＇s report. In addition, CloudSat data are also used to investigate the influence of difference in observa- tion time on the accuracy of NOAA/AVHRR cloud detection.
出处
《高原气象》
CSCD
北大核心
2012年第3期745-751,共7页
Plateau Meteorology
基金
财政部/科技部公益类行业专项(GYHY200706005
GYHY200906036
GYHY200706036)
中国气象局新技术推广项目(CMATG2008Z04)
国家科技支撑计划课题(2006BAC12B07)共同资助
关键词
云检测
NOAA/AVHRR
动态阈值法
Cloud detection NOAA/AVHRR Automated dynamic threshold cloud-maskingalgorithm
