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| 基于动态阈值法的NOAA系列卫星云检测结果检验 | |
| 引用本文： | 武艳,银燕,师春香,何立,胡婷婷,孟俊耀.基于动态阈值法的NOAA系列卫星云检测结果检验[J].高原气象,2012,31(3):745-751. |
| 作者姓名： | 武艳 银燕 师春香 何立 胡婷婷 孟俊耀 |
| 作者单位： | 1. 南京信息工程大学大气物理学院,江苏南京,210044 2. 国家卫星气象中心,北京,100081 3. 广西区气象减灾研究所,广西南宁,530022 4. 东华软件股份公司,北京,100081 |
| 基金项目： | 财政部/科技部公益类行业专项，中国气象局新技术推广项目，国家科技支撑计划课题 |
| 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。 |
| 关 键 词： | 云检测 NOAA/AVHRR 动态阈值法 |
Validation of NOAA/AVHRR Cloud Detections by an Automated Dynamic Threshold Cloud-Masking Algorithm |
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| WU Yan,YIN Yan,SHI Chun-xiang,HE Li,HU Ting-ting,MENG Jun-yao.Validation of NOAA/AVHRR Cloud Detections by an Automated Dynamic Threshold Cloud-Masking Algorithm[J].Plateau Meteorology,2012,31(3):745-751. | |
| Authors: | WU Yan YIN Yan SHI Chun-xiang HE Li HU Ting-ting MENG Jun-yao |
| Institution: | 1.Key Laboratory for Atmospheric Physics and Environment,Nanjing University of Information Science & Technology,Nanjing 210044,China; 2.National Satellite Meteorological Center,Beijing 100081,China; 3.Guangxi Institute of Meteorology,Nanning 530022,China; 4.Donghua Software Company,Beijing 100081,China) |
| Abstract: | As one of the most successful and extensive polar-orbiting meteorological satellites,NOAAdata 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 quantitative analyses.Almost twenty years from 1988 to 2008,the advanced high resolution radiometer(AVHRR) raw data were collected by China National Satellite Meteorological Center,andtheir cloud detection output by an automated dynamic threshold cloud-masking algorithm have been compared with coincident 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 approximately91.5% with ship′s report.In addition,CloudSat data are also used to investigate the influence of difference in observation time on the accuracy of NOAA/AVHRR cloud detection. |
| Keywords: | Cloud detection NOAA/AVHRR Automated dynamic threshold cloud-maskingalgorithm |
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