High Pollution Loadings Influence the Reliability of Himawari-8 Cloud-Mask in Comparison with Space-Based Lidar and Surface Observations
High Pollution Loadings Influence the Reliability of Himawari-8 Cloud-Mask in Comparison with Space-Based Lidar and Surface Observations
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与天基激光雷达和地面观测相比，高污染负荷影响 Himawari-8 云罩的可靠性
DOI：
10.1155/2022/2492567
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发表时间：
2022-02
影响因子：
2.9
通讯作者：
Weiwei Xu
中科院分区：
文献类型：
--
作者：
Wei Wang;Pengfei Tong;Huihui Feng;Weiwei Xu
被动传感器的云识别方法通常是基于不同波长的不同阈值。然而，高污染水平可能导致Himawari-8上携带的高级Himawari成像仪（AHI）的云掩模的错误识别。这项研究通过比较AHI云罩和基于2016年1月1日至2019年12月31日空气污染负荷地面观测的天基激光雷达观测结果，全面分析和论证了这种可能性。因此，本研究通过比较AHI云罩和天基激光雷达观测，利用2016年1月1日至2019年12月31日的空气污染负荷地面观测，全面探讨了这种影响。比较两种传感器的案例研究表明，在气溶胶事件期间，AHI云检测的性能会退化。长期的统计分析表明，两个传感器在这段时间内对晴空（云）的平均命中率为79%（63%），AHI和CALIOP的云遮蔽一致性（命中率）随污染水平的增加而降低。相反，在低PM2.5水平（小于40 μg/m3）时，云和晴的不确定度分别为15%和3%;在高PM2.5水平（大于130 μg/m3）时，云和晴的不确定度分别为47%和15%。因此，结果表明，AHI云面具的可靠性被削弱了高的空气污染水平。由于高时间分辨率的AHI产品在气候变化、气溶胶-云相互作用和空气污染制图等相关领域中至关重要，因此需要进一步改进AHI云掩模算法。
Cloud identification methods of passive sensors are usually on the basis of different thresholds at different wavelengths. However, the high pollution levels may contribute to the misidentification of cloud mask of Advanced Himawari Imager (AHI) carried on Himawari-8. This study comprehensively analyses and demonstrates this possibility by comparing the AHI cloud-masks and space-based lidar observations based on surface observations of air-polluted loadings from January 1, 2016, to December 31, 2019. Therefore, this study comprehensively explores this impact by comparing the AHI cloud-masks and space-based lidar observations by using surface observations of air-polluted loadings from January 1, 2016, to December 31, 2019. Case studies that compare the two sensors indicate that the performance of AHI cloud detection is degenerative during aerosol events. Long-term statistical analysis demonstrates that the average hit ratio of clear (cloud) between the two sensors during the period is 79% (63%) and the consistency (hit rate) of cloud-mask between AHI and CALIOP decreases with increasing pollution levels. On the contrary, the low uncertainty ratios with 15% of cloud and 3% of clear exist in low PM2.5 levels (lower than 40 μg/m3), while the high uncertainty ratios with 47% of cloud and 15% of clear exist in high PM2.5 levels (higher than 130 μg/m3). Therefore, results demonstrate that the reliability of AHI cloud-mask is weakened by high air-polluted levels. Further improvement of AHI cloud-mask algorithm is desired because AHI products with high temporal resolution are vital in several related fields, such as climate change, aerosol-cloud interaction, and air-polluted mapping.
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根据 AERONET 地面测量对中国中部和北部地区的 Himawari-8 2.0 版气溶胶产品进行评估
影响因子：
5
作者：
Wang Lei;Cai Kun;Si Yidan;Yu Chao;Zheng Hui;Li Shenshen
通讯作者：
Li Shenshen
影响因子：
3.8
作者：
Jian Yang;Songxi Yang;Yangyang Zhang;S. Shi;L. Du
通讯作者：
Jian Yang;Songxi Yang;Yangyang Zhang;S. Shi;L. Du
DOI：
10.1029/2018jd028599
发表时间：
2019-05
期刊：
Journal of Geophysical Research: Atmospheres
影响因子：
--
作者：
Wei Wang;Feiyue Mao;Zengxin Pan;W. Gong;Mayumi Yoshida;Bin Zou;Huiyun Ma
通讯作者：
Wei Wang;Feiyue Mao;Zengxin Pan;W. Gong;Mayumi Yoshida;Bin Zou;Huiyun Ma
影响因子：
3.8
作者：
Kim, Man-Hae;Omar, Ali H.;Magill, Brian E.
通讯作者：
Magill, Brian E.
影响因子：
5.2
作者：
D. L. Wu;Steven A. Ackerman;Roger Davies;D. Diner;M. Garay;Brian H. Kahn;B. Maddux;C. Moroney;Graeme L. Stephens;J. Veefkind;Mark Vaughan
通讯作者：
D. L. Wu;Steven A. Ackerman;Roger Davies;D. Diner;M. Garay;Brian H. Kahn;B. Maddux;C. Moroney;Graeme L. Stephens;J. Veefkind;Mark Vaughan