摘要
基于星载激光雷达CALIOP获取到的云层和气溶胶的垂直剖面信息,分析了2015年7月—2021年6月期间过境东中国海的数据,得到大量的海雾、低云、中高云和海表样本点,将这些样本点应用于Himawari-8日间海雾检测的通道选择和阈值设定中,提出了基于通道1、2、4和13的日间海雾静态阈值检测方法。结果表明:使用现有的黄海中部的浮标能见度仪数据,结合Himawari-8海雾检测通道选取的反照率数据,可以重新拟合校正目前常用的海雾能见度反演经验公式中的参数常量,改进此公式在东中国海域雾区特别是厚云区的适用性。
Based on the vertical profile information of clouds and aerosols acquired by the spaceborne lidar CALIOP(cloud-aerosol lidar with orthogonal polarization),we analyze the data of processes passing over the East China Sea from July 2015 to June 2021,and obtain a large number of sea fog,low cloud,middle and high cloud,sea surface sample points,which are applied to the channel selection and threshold setting of Himawari-8daytime sea fog detection.We further propose a static threshold detection method of daytime sea fog based on 1,2,4 and 13 channels.The results show that the existing buoy visibility data in the middle of Yellow Sea,combined with the albedo data that is selected by the Himawari-8 sea fog detection channel,can be re-fitted to correct the parameter constants in the empirical formula for sea fog visibility inversion,and improve the applicability of this formula in the East China Sea,especially in the thick cloud area.
作者
卢博
王彬
于博
孙静宜
王志勇
冀承振
董琳
LU Bo;WANG Bin;YU Bo;SUN Jingyi;WANG Zhiyong;JI Chengzhen;DONG Lin(Shandong Provincial Key Laboratory of Marine Ecology and Environment&Disaster Prevention and Mitigation,Qingdao 266061,China;North China Sea Marine Forecasting Center of State Oceanic Administration,Qingdao 266061,China)
出处
《海洋预报》
CSCD
北大核心
2022年第6期62-73,共12页
Marine Forecasts
基金
国家重点研发计划(2017YFC1405300)
北海局海洋科技项目(202006)
山东省海洋生态环境与防灾减灾重点实验室开放基金(201604)。
