中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An Improved Algorithm for the Detection of Cirrus Clouds in the Tibetan Plateau Using VIIRS and MODIS Data

文献类型:SCI/SSCI论文

作者Xia L.; Zhao, F.; Ma, Y.; Sun, Z. W.; Shen, X. Y.; Mao, K. B.
发表日期2015
关键词water-vapor band temperatures satellite aircraft sensors mask
英文摘要Cirrus clouds play an important role in the global radiation budget balance. However, the existing MODIS and Visible Infrared Imaging Radiometer Suite (VIIRS) cirrus cloud test algorithms struggle to provide accurate cirrus cloud information for the Tibetan Plateau region. In this study, the 1.38-m cirrus cloud test was improved by adding 11-m brightness temperature and a multiday average land surface temperature test. An algorithm sensitivity analysis indicated that the proposed algorithm lowered the threshold of the existing 1.38-m algorithm to 0.005 in the winter and did not produce any observable misclassifications. Compared to the existing 1.38-m cirrus test algorithm, the accuracy validation indicated that the improved algorithm detected 31.7% more cirrus clouds than the existing VIIRS 1.38-m cirrus test and yielded 14% fewer misclassifications than the MODIS 1.38-m cirrus test.
出处Journal of Atmospheric and Oceanic Technology
32
11
2125-2129
语种英语
ISSN号0739-0572
DOI标识10.1175/jtech-d-15-0063.1
源URL[http://ir.igsnrr.ac.cn/handle/311030/43494]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Xia L.,Zhao, F.,Ma, Y.,et al. An Improved Algorithm for the Detection of Cirrus Clouds in the Tibetan Plateau Using VIIRS and MODIS Data. 2015.

入库方式: OAI收割

来源:地理科学与资源研究所

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