会议论文详细信息
4th International Conference on Advances in Energy Resources and Environment Engineering
Application of Himawari-8 Satellite Data in Daytime Sea Fog Monitoring in South China Coast
能源学;生态环境科学
He, Li^1 ; Gao, Hong^2 ; Xu, Jianwen^3 ; Huang, Ganqi^4
Guangxi Research Institute of Meteorological Disasters Mitigation, Nanning, Guangxi
530022, China^1
Institute of Advanced Technology of Chinese Academy of Sciences, Shenzhen, Guangdong
518055, China^2
Jincheng Meteorological Bureau, Jingcheng, Shanxi, 048000, China^3
Shangsi County Meteorological Bureau, Fangchenggang, Shangsi County
535599, China^4
关键词: Band combinations;    Business applications;    Geostationary meteorological satellites;    Monitoring models;    Observation data;    Satellite data;    Solar elevation;    Temporal and spatial;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/237/2/022007/pdf
DOI  :  10.1088/1755-1315/237/2/022007
学科分类:环境科学(综合)
来源: IOP
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【 摘 要 】

Based on the high temporal and spatial resolution of Japanese Himawari-8 geostationary meteorological satellite data and visibility observation data, the band and band combination was selected suitable for daytime sea fog identification in coastal areas of South China, including R 0.64, NDVI, BT11.2-BT10.4 , BT11.2-BT3.9 , BT11.2 etc, and taken into account the influence of solar elevation angle on the reflectivity channel, and constructed a new coastal fog monitoring model (SFM) in the coastal area of South China for the identification of sea fog in the coastal areas of South China And applications. According to the fog judgment standard promulgated by the China Meteorological Administration, the sea fog monitoring model (SFM) was used to remotely monitor the coastal fog events in South China from January to April 2018, and further used the three provinces of South China (Guangxi, Guangdong, Hainan). Visibility data from coastal and island observatories are verified. The results show that the accuracy of sea fog recognition based on SFM model is about 68.6%, which has a good business application prospect.

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