首页> 中文期刊> 《极地科学进展(英文版)》 >Monitoring the Amery Ice Shelf front during 2004-2012 using ENVISAT ASAR data

Monitoring the Amery Ice Shelf front during 2004-2012 using ENVISAT ASAR data

         

摘要

The Amery Ice Shelf is the largest ice shelf in East Antarctica. It drains continental ice from an area of more than one million square kilometres through a section of coastline that represents approximately 2% of the total circumference of the Antarctic continent. In this study, we used a time series of ENVISAT ASAR images from 2004-2012 and flow lines derived from surface velocity data to monitor the changes in 12 tributaries of the Amery Ice Shelf front. The results show that the Amery Ice Shelf has been expanding and that the rates of expansion differ across the shelf. The highest average annual rate of advance from 2004-2012 was 3.36 m·d-1 and the lowest rate was 1.65 m·d-1 . The rates in 2009 and 2010 were generally lower than those in other years. There was a low correlation between the rate of expansion and the atmospheric temperature recorded at a nearby research station, however the mechanism of the relationship was complex. This study shows that the expansion of the Amery Ice Shelf is slowing down, reflecting a changing trend in climate and ice conditions in East Antarctica.

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  • 来源
    《极地科学进展(英文版)》 |2013年第2期|133-137|共5页
  • 作者单位

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100875, China;

    College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100875, China;

    College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100875, China;

    College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100875, China;

    College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100875, China;

    College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100875, China;

    College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100875, China;

    College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;

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