An Improved Algorithm for the Detection of Cirrus Clouds in the Tibetan Plateau Using VIIRS and MODIS Data
文献类型： 外文期刊
第一作者： Xia, L.
作者： Xia, L.;Ma, Y.;Mao, K. B.;Xia, L.;Zhao, F.;Ma, Y.;Mao, K. B.;Sun, Z. W.;Shen, X. Y.;Mao, K. B.;Mao, K. B.
作者机构：
期刊名称：JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY （ 影响因子：2.075； 五年影响因子：2.544 ）
ISSN： 0739-0572
年卷期： 2015 年 32 卷 11 期
页码：
收录情况： SCI
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.
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