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冰川冻土 ›› 2020, Vol. 42 ›› Issue (4): 1135-1144.doi: 10.7522/j.issn.1000-0240.2018.1146

• 冰冻圈与全球变化 • 上一篇    下一篇

基于FY-3 MWRI数据的北极海冰密集度反演研究

吴展开1(), 王星东1,2(), 王峰1   

  1. 1.河南工业大学 信息科学与工程学院,河南 郑州 450001
    2.中国科学院 遥感与数字地球研究所,北京 100094
  • 收稿日期:2018-09-13 修回日期:2019-03-04 出版日期:2020-12-31 发布日期:2021-01-21
  • 通讯作者: 王星东 E-mail:spreadwu@126.com;zkywxd@163.com
  • 作者简介:吴展开(1993 - ), 男, 河南兰考人, 2017年在河南工业大学获学士学位, 现为河南工业大学在读硕士研究生, 从事极地海冰研究. E-mail: spreadwu@126.com
  • 基金资助:
    冰冻圈科学国家重点实验室开放基金项目(SKLCS-OP-2020-6);河南省教育厅自然科学研究项目(19B420001);河南省重点研发与推广专项(202102310334);中国科学院数字地球重点实验室开放基金项目(2018LDE005)

Inversion of Arctic sea ice concentration based on FY-3 MWRI data

Zhankai WU1(), Xingdong WANG1,2(), Feng WANG1   

  1. 1.College of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China
    2.Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100094,China
  • Received:2018-09-13 Revised:2019-03-04 Online:2020-12-31 Published:2021-01-21
  • Contact: Xingdong WANG E-mail:spreadwu@126.com;zkywxd@163.com

摘要:

以ASI算法(ARTIST sea ice algorithm)为基础, 得到基于风云3C气象卫星(FY-3C)微波辐射计(MWRI)数据的纯水与纯冰系点值, 利用插值方法确定基于FY-3 MWRI数据的ASI海冰密集度计算公式, 采用大津法(Otsu算法)得到基于MWRI数据的天气滤波器阈值。以2016年1月数据为例, 对北极海冰密集度进行反演, 并与美国国家冰雪数据中心(NSIDC)以及德国不莱梅大学提供的海冰密集度产品进行对比验证。结果表明: 基于MWRI数据得到的1月平均海冰面积以及平均密集度均介于二者之间, 其中平均密集度与不莱梅产品更接近, 仅相差1.310%。与风云卫星空间分辨率为250 m的中分辨率光谱成像仪(MERSI)数据得到的结果进行对比, 发现二者的海冰外缘线基本一致, MERSI数据得到的海冰密集度以及海冰面积比MWRI数据得到的结果分别高出5.029%、 9.318%。因此, 应用该方法可有效推进MWRI数据反演北极海冰密集度, 进而监测北极海冰分布和变化。

关键词: FY-3, MWRI, 海冰密集度, ASI算法, 北极

Abstract:

Based on the ASI (ARTIST sea ice) algorithm, the pure water and pure ice point values of the FengYun-3C meteorological satellite (FY-3C) microwave radiometer (MWRI) data are obtained. The ASI sea ice concentration calculation formula based on FY-3 MWRI data is determined by interpolation method, and the weather filter threshold is obtained by Otsu method. Taking the January, 2016 data as an example, the inversion results of the Arctic sea ice concentration were obtained. It was compared with sea ice concentration products provided by National Snow and Ice Data Center (NSIDC), USA, and University Bremen, Germany. The results show that the average sea ice area and average concentration in January based on MWRI data are between the two products, with a discrepancy of average concentration of only 1.310% different with Bremen products. The results are compared with those obtained from MERSI (medium resolution spectral imaging) data with 250 m spatial resolution of FengYun satellite. The results show that the outer line of sea ice is basically the same. The sea ice concentration and area obtained from optical data are 5.029% and 9.318% higher than those from MWRI data, respectively. Therefore, this method can effectively promote the inversion of Arctic sea ice concentration by MWRI data, and can be effectively used to monitor Arctic sea ice distribution and changes.

Key words: FY-3, MWRI, sea ice concentration, ASI algorithm, Arctic

中图分类号: 

  • TP79