期刊文献+

北极海冰密集度产品的走航比较与冰情分析 被引量:4

Comparison and Analysis of Arctic Sea Ice Concentration Products during the Fifth Chinese Arctic Expedition
下载PDF
导出
摘要 基于我国第五次北极科学考察"雪龙船"航迹资料,比较德国不莱梅大学发布的海冰密集度被动微波遥感数据产品,在此基础上分析我国第五次北极考察期间东北航线和高纬航线的海冰冰情。结果表明,对应"雪龙船"走航海冰观测的样本点,SSMIS平均海冰密集度高于AMSR2海冰密集度,整体偏差为9.2%;AMSR2海冰密集度产品在陆地边缘处相对于SSMIS信息缺失较少,质量更优;对时序AMSR2海冰密集度数据的分析表明,2012年北极东北航道的完全开通在8月中旬,8月下旬至9月初形成北极高纬航线。不同数据产品的比较分析可为更好地应用海冰密集度数据进行海冰变化研究和航线冰情监测提供依据和参考。 This study made comparison of sea ice concentration derived from SSMIS and AMSR2 passive mi- crowave images from Bremen University during the fifth Chinese arctic expedition. Results show that the value of SSMIS sea ice concentration is higher than that of AMSR2 at the sample points according to sea ice record ob- served aboard on the R/V Xulong, and the average bias between SSMIS and AMSR2 sea ice concentration is 9.2%. AMSR2 has a relative higher quality than SSMIS near the land. It finds that the Arctic Northeast Passage opened in the mid-August by analyzing the AMSR2 data, while the Arctic High-latitude Sea Route emerged in the latter August and early September. These results can be helpful for better using Bremen sea ice concentra- tion product, and providing some reference for the research of sea ice change and ship routing in the future.
作者 季青 庞小平
出处 《华东交通大学学报》 2016年第5期33-38,共6页 Journal of East China Jiaotong University
基金 国家自然科学基金项目(41576188) 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项目(GCMAC1504) 国家海洋局极地科学重点实验室项目(KLPS1502)
关键词 海冰密集度 冰情分析 SSMIS AMSR2 sea ice concentration sea ice situation analysis SSMIS AMSR2
  • 相关文献

参考文献10

  • 1IPCC. Climate Change 2013: The physical science basis, contribution of working group I to the fifth assessment report of the in- tergovernmental panel on climate change [M]. Cambridge, UK and New York, USA, Cambridge University Press,2013.
  • 2LASSERRE F, PELLETIER S. Polar super seaways? Maritime transport in the Arctic: an analysis of shipowners' intentions [J]. Journal of Transport Geography, 2011,19 (6) : 1465-1473.
  • 3ROGERS T S,WALSH J E,RUPP T S,et al. Future Arctic marine access:analysis and evaluation of observations,models,and projections of sea ice [J]. The Cryosphere ,2013,7(1 ) :321-332.
  • 4苏洁,郝光华,叶鑫欣,王维波.极区海冰密集度AMSR-E数据反演算法的试验与验证[J].遥感学报,2013,17(3):495-513. 被引量:21
  • 5SPREEN G, KALESCHKE L, HEYGSTER, G. Sea ice remote sensing using AMSR-E 89 GHz Charmels [J]. Journal of Geophysi- cal Research : Oceans, 2008,113 (C2) : C02S03.
  • 6赵羲,苏昊月,石中玉,庞小平.南极海冰密集度多源数据的交叉检验[J].武汉大学学报(信息科学版),2015,40(11):1460-1466. 被引量:6
  • 7李新情,慈天宇,罗斯瀚,惠凤鸣,程晓.北极东北航道维利基茨基海峡海冰时空变化及适航性分析[J].极地研究,2015,27(3):282-288. 被引量:9
  • 8LEI RUIBO,XIE HONGJIE,WANG JIA,et al. Changes in sea ice conditions along the Arctic Northeast Passage from 1979 to 2012 [J]. Cold Regions Science and Technology,2015,119:132-144.
  • 9孟上,李明,田忠翔,张林.北极东北航道海冰变化特征分析研究[J].海洋预报,2013,30(2):8-13. 被引量:27
  • 10[ SHIBATA H,IZUMIYAMA K,TATEYAMA K,et al. Sea-ice coverage variability on the Northern Sea Routes, 1998-2011 [J]. Annals of Glaciology, 2013,54 (62) : 139-148.

二级参考文献55

  • 1Andersen S, Tonboe R, Kaleschke L, Heygster G and Pedersen L T. 2007. Intercomparison of passive microwave sea ice concentration retrievals over the high-concentration Arctic sea ice. Journal of Geophysical Research: Oceans, 112(C8)1-18[DOI: 10.1029/2006JC003543].
  • 2Cavalieri D, Gloersen P and Campbell W. 1984. Determination of sea ice parameters with the Nimbus 7 SMMR. Journal of Geophysical Research: Atmospheres, 89(D4): 5355-5369 [DOI: 10.1029/JD089iD04p05355].
  • 3Comiso J C. 1986. Characteristics of arctic winter sea ice from satellite multispectral microwave observations. Journal of Geophyspheric Research: Oceans, 91(C1): 975-994 [DOI: 10.1029/JC091iC01p00975].
  • 4Comiso J C. 1995. SSM/I ice concentrations using the bootstrap algorithm. Greenbelt, MD, NASA Goddard Space Flight Center Ref. Publication, No. 1380, 40.
  • 5Comiso J C, Cavalieri D J and Markus T. 2003. Sea Ice Concentration, ice temperature, and snow depth using AMSR-E data. IEEE Transactions on Geoscience and Remote Sensing, 41(2): 243-252 [DOI: 10.1109/TGRS.2002.808317].
  • 6Kaleschke L, Lüpkes C, Vihma T, Haarpaintner J, Bochert A, Hartmann J and Heygster G. 2001. SSM/I sea ice remote sensing for mesoscale ocean-atmosphere interaction analysis: Ice and icebergs. Canadian Journal of Remote Sensing, 27(5): 526-537.
  • 7Kern S. 2001. A new algorithm to retrieve the sea ice concentration using weather-corrected 85 GHz SSM/I measurements. Bremen: Dept. Physics Elect. Eng. Univ. Bremen: 1-5.
  • 8Kern S and Heygster G. 2001. Sea-ice concentration retrieval in the antarctic based on the SSM/I 85. 5 GHz polarization. Annals of Glaciology, 33(1): 109-114.
  • 9Kern S, Kaleschke L and Clausi D A. 2003. A comparison of two 85 GHz SSM/I ice concentration algorithms with AVHRR and ERS-2 SAR imagery. IEEE Transactions on Geoscience and Remote Sensing, 41(10): 2294-2306 [DOI: 10.1109/TGRS.2003.817181].
  • 10Markus T and Cavalieri D J. 2000. An enhancement of the NASA Team sea ice algorithm. IEEE Transactions on Geoscience and Remote Sensing, 38(3): 1387-1398 [DOI: 10.1109/36.843033].

共引文献55

同被引文献29

引证文献4

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部