新一代静止轨道气象卫星Himawari-8静止气象卫星具有空间分辨率高可持续性观测的特点,对海雾监测具有重要的意义。 星载激光雷达(Cloud-aerosol lidar with orthogonal polarization, CALIOP)可以探测大气的垂直剖面信息。利用CALIOP 数据进行海雾检测,获得4类样本点:中高云、低云、海雾和海表样本点,并将这些样本点用于Himawari-8 日间海雾检测的 通道选择和动态阈值设定的研究中,建立一套Himawari-8日间海雾检测算法。利用CALIOP和中国气象局国家卫星气象中心的 气象卫星雾监测报告数据对海雾检测方法进行验证。对比CALIOP数据,海雾检出率63.42%,漏检样本点中晴空海表占比71.54%; 对比雾监测产品,海雾检测率89.7%。结果表明,提出的海雾检测算法是可行的。

A new generation of stationary orbit meteorological satellite Himawari-8 AHI is a multispectral earth observation sensor with high temporal and spatial resolutions, which is of great significance to the monitoring of sea fog. The vertical structure of the atmosphere at high-resolution can be detected by cloud-aerosol lidar with orthogonal polarization(CALIOP). CALIOP data were used to classify the observed objects into four types: sea-surface, sea fog, stratus and middle/high-cloud. These samples were then used to the spectral analysis of the Himawari-8 channels and the spectral properties were obtained. A daytime sea fog detection algorithm based on Himawari-8 data was proposed through the study of the spectral properties. Both CALIOP data and fog-monitoring product from NSMC were used to validate the detection results. Compared with the CALIOP fog detection, the probability of sea fog detection is 63.42%, and 71.54% of the missing samples are the misjudgements of sea surfaces. Based on the fog-monitoring product, the probability of sea fog detection is 89.7%. The results show that the proposed algorithm is feasible.