摘要
极区海冰影响大气和海洋环流,对全球气候变化起着重要的作用。海冰密集度是表征海冰时空变化特征的重要参数之一。本文研究了利用FY-3C微波扫描辐射计亮温数据反演极区海冰密集度的方法。经过时空匹配、线性回归,修正了FY-3C微波辐射计亮温数据。使用两种天气滤波器和海冰掩模滤除了大气影响所造成的开阔海域虚假海冰;使用最小密集度模板去除陆地污染效应。通过计算2016年、2017年极区海冰面积及范围两个参数,对得到的海冰密集度产品进行了验证,两年的海冰范围和面积趋势基本与NSIDC产品一致,平均差异小于3%。本研究结果为发布我国自主卫星的极区海冰密集度业务化产品奠定了基础,制作的产品可保障面临中断的40多年极区海冰记录的连续性。
Polar sea ice affects atmospheric and ocean circulation and it plays an important role in global climate change. The sea ice concentration is one of the important parameters to characterize the temporal and spatial variation of sea ice. The retrieval algorithm of sea ice concentration based on brightness temperature data of FY-3 C microwave radiation imager in the polar region was studied. After the time-space matching and linear regression, FY-3 C microwave radiometers brightness temperature data was corrected. The atmospheric effects were reduced using two weather filters and sea ice mask. A minimum ice concentration array used in the procedure reduced the land-toocean spillover effect. The sea ice concentration product was validated by calculating Arctic and Antarctic sea ice extent and area in 2016-2017. The sea ice extent and area trends of this two years were basically consistent with the NSIDC product, with an average difference of 3%. This research laid the foundation for the release of the polar sea ice concentration business products of China’s autonomous satellites, and the products guarantee the continuity of crucial polar sea ice record that might soon be interrupted.
作者
刘森
邹斌
石立坚
崔艳荣
Liu Sen;Zou Bin;Shi Lijian;Cui Yanrong(National Marine Environmental Forecasting Center,Beijing 100081,China;National Satellite Ocean Application Service,Beijing 100081,China;Key Laboratory of Space Ocean Remote Sensing and Application,Ministry of Natural Resources,Beijing 100081,China;College of Marine Sciences,Shanghai Ocean University,Shanghai 201306,China)
出处
《海洋学报》
CAS
CSCD
北大核心
2020年第1期113-122,共10页
基金
国家重点研发计划课题（2016YFC1402704）
北极区域观测预报系统集成与应用示范（2018YFC1407206）
