热带海洋学报 ›› 2023, Vol. 42 ›› Issue (4): 104-112.doi: 10.11978/2022215CSTR: 32234.14.2022215

• 海洋气象学 • 上一篇    下一篇

福建海雾的CALIOP遥感监测及基于Himawari-8的云下雾光谱特征分析*

胡晨悦1(), 丘仲锋1, 廖廓2(), 赵冬至1, 吴到懋3   

  1. 1.南京信息工程大学, 江苏 南京 210044
    2.福建省气象科学研究所, 福建 福州 350008
    3.江苏省宿迁环境监测中心, 江苏 宿迁 223800
  • 收稿日期:2022-10-09 修回日期:2022-12-14 出版日期:2023-07-10 发布日期:2022-12-19
  • 作者简介:

    胡晨悦(1998—), 女, 安徽省马鞍山人, 硕士研究生, 从事海雾遥感检测研究。email:

    *感谢福建省气象局气象科学研究所提供数据支撑。

  • 基金资助:
    国家自然科学基金(41976165)

CALIOP remote sensing monitoring of the Fujian sea fog and spectral characteristics analysis of subcloud fog based on Himawari-8

HU Chenyue1(), QIU Zhongfeng1, LIAO Kuo2(), ZHAO Dongzhi1, WU Daomao3   

  1. 1. Nanjing University of Information Science and Technology, Nanjing 210044, China
    2. Fujian Institute of Meteorological Sciences, Fuzhou 350008, China
    3. Suqian Environmental Monitoring Center, Suqian 223800, China
  • Received:2022-10-09 Revised:2022-12-14 Online:2023-07-10 Published:2022-12-19
  • Supported by:
    National Natural Science Foundation of China(41976165)

摘要:

海雾是一种影响海上运输与军事活动的灾害性天气, 福建沿海作为我国海雾多发的区域, 同时也是国家战略重地, 对此地区开展海雾监测研究至关重要。带偏振的云气溶胶探测激光雷达(cloud-aerosol lidar with orthogonal polarization, CALIOP)利用激光探测, 具有垂直穿透能力, 可探测云雾的垂向结构特征, 非常适合用于海雾监测。本文首先通过CALIOP L1级532nm总衰减后向散射和大气垂直特征分类标识(vertical feature mask, VFM)数据, 开展福建海雾遥感监测, 基于海雾物理特征, 扩大海雾检测范围。同时分析了福建海雾的垂向特征, 发现云下雾事件多发。为探究云下雾光谱特征, 发展高时间覆盖及大范围同步海雾监测算法, 本文基于Himawari-8数据对比了云、纯雾、云下雾三者的光谱差异。结果表明, 白天时段纯雾与云下雾在各波段的光谱特征均无明显差别, 且1—4波段的反射率远低于云像元; 夜间, 纯雾在3.9μm波段的亮温普遍低于云下雾。基于上述光谱特征差异进行云、纯雾和云下雾的区分, 有望提高福建海雾监测的精度。

关键词: 海雾, 卫星遥感, 福建

Abstract:

Sea fog, as a hazard weather, affects maritime transportation and military activities. The coastal area of Fujian province is a national strategic area characterized by frequent sea fog. It is essential to monitor and study the sea fog in this area. cloud-aerosol lidar with orthogonal polarization (CALIOP) can detect the vertical structure characteristics of sea fog due to its vertical penetration through laser. Thus, it is very suitable for sea fog monitoring. In this paper, firstly, remote sensing monitoring of sea fog over the coastal area of Fujian was carried out through CALIOP L1 level 532 nm total attenuated backscattering and vertical feature mask (VFM) data. Based on the physical characteristics of sea fog, the detection range of sea fog was expanded. Secondly, the vertical characteristics of sea fog in this area were analyzed and it was found that subcloud fog occurred frequently. To explore the spectral characteristics of the subcloud fog and develop a high time coverage and large-scale synchronous sea fog monitoring algorithm. Besides, the spectral differences of cloud, pure fog, and subcloud fog were compared based on Himawari-8 data. According to the results, in the daytime, the spectral characteristics of pure fog and subcloud fog were not significantly different in each band, and the reflectance of bands 1~4 was much lower than that of cloud pixels; at night, the brightness temperature of pure fog at 3.9 μm band was generally lower than that of subcloud fog. It is expected to improve the monitoring accuracy of sea fog in Fujian Province by distinguishing cloud, pure fog, and subcloud fog based on the above spectral characteristics.

Key words: sea fog, satellite remote sensing, Fujian