极地研究

极地研究 ›› 2016, Vol. 28 ›› Issue (2): 287-294.DOI: 10.13679/j.jdyj.2016.2.287

• 研究论文 • 上一篇    下一篇

不同月海冰边界提取算法对南极海冰变化的影响分析

石中玉1,庞小平1,2,赵羲1,2,程子桉1,季青1   

  1. 1.武汉大学中国南极测绘研究中心,湖北 武汉 430079，2.极地测绘科国家测绘地理信息局重点实验室, 湖北 武汉 430079
  • 收稿日期:2015-03-30 修回日期:2015-06-17 出版日期:2016-06-30 发布日期:2016-06-30
  • 通讯作者: 赵羲
  • 基金资助:
    国家自然科学基金青年科学基金;高等学校博士学科点专项科研新教师类基金;国家海洋局海洋-大气化学与全球变化重点实验室开放基金;南北极环境综合考察与评估专项

The impact of different methods for monthly mean boundary extraction on trends in Antarctic sea ice

Shi Zhongyu， Pang Xiaoping，Zhao Xi， Cheng Zi’an，Ji Qing   

  • Received:2015-03-30 Revised:2015-06-17 Online:2016-06-30 Published:2016-06-30

PDF (PC)

898

摘要： 海冰与海水的交界地带是海-冰-气相互作用的重要区域, 其变化会影响海洋生物栖息地的联通状态和海洋、大气的交换, 确定海冰边界对于分析海冰动态变化具有重要意义[1-2]。被动微波传感器为长期监测海冰变化提供了大尺度的连续观测数据。从经典统计、随机集理论出发, 应用三种由被动微波日均海冰密集度数据提取月均海冰边界的方法, 分析三种月均边界的差异, 以及不同月均边界提取方法对海冰长期变化分析的影响。

关键词: 海冰边界, 均值方法, 随机集, Hausdorff距离, 海冰变化

Abstract: The boundary zone between sea ice and open water is an area where ocean, ice, and atmosphere meet and interact. To analyze sea ice changes over long time series, it is important to identify the sea ice boundary and to obtain data on parameters such as sea ice extent, area, and ice perimeter. Passive microwave imaging is the preferred method to obtain data for long-term monitoring of sea ice changes. Based on classical statistics and random set theory, three different average methods are proposed to extract monthly sea ice extent from daily passive microwave sea ice concentration data. The impact of the differences in these models for long-term analysis of sea ice changes is discussed.

Key words: sea ice margin, averaging method, random sets, Hausdorff distance, sea ice variation