极地研究 ›› 2020, Vol. 32 ›› Issue (3): 301-313.DOI: 10.13679/j.jdyj.20190054

• 研究论文 • 上一篇    下一篇

北极海冰密集度遥感数据产品对比及航道关键区验证研究

王剑1,2,邱玉宝2,3,熊振华2,袁希平1,周静恬4,黄琳5,石利娟2,3   

  1. 1.昆明理工大学国土资源工程学院, 云南 昆明 650093;
    2.中国科学院空天信息创新研究院, 数字地球实验室, 北京100094;
    3.北极观测联合研究中心, 中国科学院空天信息创新研究院和芬兰气象研究所, 索丹屈莱, 芬兰 999018;
    4.大连海事大学航海学院, 辽宁 大连 116026;
    5.中国地质大学(武汉)地理与信息工程学院, 湖北 武汉 430074
  • 收稿日期:2019-09-26 修回日期:2020-03-14 出版日期:2020-09-30 发布日期:2020-09-30
  • 通讯作者: 邱玉宝
  • 基金资助:

    国家重点研发计划“政府间国际科技创新合作”重点专项(2017YFE0111700)、中国科学院战略性先导科技专项(A类)(XDA19070201)和基于空间大数据的“冰上丝绸之路”环境和北极航道信息服务合作研究(131211KYSB20170041)资助

Comparison and verification of remote sensing sea ice concentration products for Arctic shipping regions

Wang Jian1,2, Qiu Yubao2,3, Xiong Zhenhua2,Yuan Xiping1, Zhou Jingtian4, Huang Lin5, Shi Lijuan2,3   

  1. 1.Land and Resources Engineering College, Kunming University of Science and Technology, Kunming 650093, China;
    2.Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;
    3.Joint Research Center for Arctic Observations, Aerospace Information Research Institute, Chinese Academy of Sciences and Arctic Space Center, Finnish Meteorological Institute (JRC-AO), Sodankyl? 999018, Finland;
    4.Marine College, Dalian Maritime University, Dalian 116026, China;
    5.Geography and Information Engineering College, China University of Geosciences (Wuhan), Wuhan 430074, China
  • Received:2019-09-26 Revised:2020-03-14 Online:2020-09-30 Published:2020-09-30
  • Contact: Yubao QIU

摘要:

为分析并评价海冰边缘区海冰密集度数据产品, 选取北冰洋区域8种公开发布的产品, 基于平均偏差和标准差(Standard Deviation, SD)展开分析, 结果表明: Bremen/ASI(ARCTIC Sea Ice)、Bremen/BT (Bootstrap)、NSIDC(National Snow and Ice Data Center)/BT和NSIDC/CDR(Climate Data Record)四种数据全年平均偏差整体高于平均值, 在夏季偏差高于冬季; Hamburger/ASI全年平均偏差低于平均值, 冬春季偏差为负, 夏季梢高于均值; NSIDC/NT(NASA Team)、NOAA OI SIC(National Oceanic and Atmospheric Administration Optimum Interpolation Sea Ice Concentration)和OSISAF(The Ocean and Sea Ice Satellite Application Facility)三种数据全年平均偏差为负, 夏季负向增加; 夏季和秋季标准差较大区域主要分布在东北航道薄冰区, 东西伯利亚、拉普捷夫海和喀拉海区域标准差变化较大, 从3%增加到10%~15%。围绕航道区, 以MODIS(Moderate Resolution Imaging Spectroradiometer)影像作为参考, 对8种数据的对比评估结果表明: 在25 km空间分辨率下, Bremen发布的两种数据相关性较高, 均为0.80; NOAA OI SIC数据相关性最低, 为0.63; Bremen/BT平均偏差较小, 为7.11%; 基于ASI算法的Bremen/ASI数据和Hamburger/ASI数据平均偏差较大, 分别为14.38%和14.99%, 且在夏季和秋季偏差波动较大, 对应标准差分别为12.16%和11.01%。该项研究对于提升遥感数据产品在海冰边缘或航道区的应用及进一步的算法研发具有指导意义。

关键词: 北极, 海冰密集度, 遥感产品, 航道关键区, 产品评估

Abstract:

We analyzed and evaluated sea ice concentration data from the marginal ice zone in eight publicly available Arctic sea ice concentration products. Mean bias and standard deviations were derived from the products and compared. Means bias values indicate that Bremen/Artist Sea Ice, Bremen/BT(Bootstrap), NSIDC(National Snow And Ice Data Center)/BT and NSIDC/CDR(Climate Data Record)/ BT products are higher than the mean of the eight products for the entire year of the study period, and their mean bias are higher in summer than in winter. Annual mean bias of Hamburger/ASI product is lower than the mean of the eight products, negative in winter and spring, and positively increasing in summer. Annual mean bias of NSIDC/NT(NASA Team), NOAA OI SIC and OSISAF products are negative and lower in summer and autumn. Large standard deviations in summer and autumn are mainly found along the Northeast Passage where ice cover is thin (marginal ice zone). There are large variations in standard deviation in the regions of the East Siberian, Laptev and Kara Seas; values increase from 3% in spring to 10%–15% in winter. Correlating the eight products with MODIS images at a resolution of 25 km, we found the lowest correlation coefficient (0.63) in the NOAA OI SIC product (0.25° resolution), while correlation coefficients for the two products from Bremen are highest (both 0.80). Bremen/BT has the lowest mean deviation (7.11%). Products derived using the ASI algorithm have higher mean bias; mean bias of the Bremen/ASI and Hamburger/ASI products are 14.38% and 14.99%, respectively, and deviations fluctuate greatly in summer and autumn. Standard deviation of Bremen/ASI products is 11.01%, and SD of Hamburger/ASI product is 12.16%. Our research results are important for the application of remote sensing data products to support maritime navigation in marginal ice zones, and for future development of sea ice concentration algorithms.

Key words: Arctic, sea ice concentration, remote sensing products, critical regions for Northeast Passage, product comparison and verification