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Recent satellite-derived sea ice volume flux through the Fram Strait: 2011-2015

机译:近期通过Fram海峡的卫星得出的海冰体积通量:2011-2015年

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摘要

The Fram Strait (FS) is the primary region of sea ice export from the Arctic Ocean and thus plays an important role in regulating the amount of sea ice and fresh water entering the North Atlantic seas. A 5 a (2011-2015) sea ice thickness record retrieved from CryoSat-2 observations is used to derive a sea ice volume flux via the FS. Over this period, a mean winter accumulative volume flux (WAVF) based on sea ice drift data derived from passive-microwave measurements, which are provided by the National Snow and Ice Data Center (NSIDC) and the Institut Francais de Recherche pour d'Exploitation de la Mer (IFREMER), amounts to 1029 km3 (NSIDC) and 1463 km3 (IFREMER), respectively. For this period, a mean monthly volume flux (area flux) difference between the estimates derived from the NSIDC and IFREMER drift data is -62 km3 per month (-18×106 km2 per month). Analysis reveals that this negative bias is mainly attributable to faster IFREMER drift speeds in comparison with slower NSIDC drift data. NSIDC-based sea ice volume flux estimates are compared with the results from the University of Bremen (UB), and the two products agree relatively well with a mean monthly bias of (5.7±45.9) km3 per month for the period from January 2011 to August 2013. IFREMER-based volume flux is also in good agreement with previous results of the 1990s. Compared with P1 (1990/1991-1993/1994) and P2 (2003/2004-2007/2008), the WAVF estimates indicate a decline of more than 600 km3 in P3 (2011/2012-2014/2015). Over the three periods, the variability and the decline in the sea ice volume flux are mainly attributable to sea ice motion changes, and second to sea ice thickness changes, and the least to sea ice concentration variations.
机译:弗拉姆海峡(FS)是北冰洋海冰出口的主要区域,因此在调节进入北大西洋海域的海冰和淡水数量方面发挥着重要作用。从CryoSat-2观测中获得的5 a(2011-2015)海冰厚度记录用于通过FS得出海冰体积通量。在此期间,由国家冰雪数据中心(NSIDC)和法国弗朗西斯·德·雷切尔普研究中心提供的基于被动微波测量的海冰漂移数据得出的冬季平均累积通量(WAVF)德拉默(IFREMER)的面积分别为1029 km3(NSIDC)和1463 km3(IFREMER)。在此期间,从NSIDC和IFREMER漂移数据得出的估算值之间的平均月体积通量(面积通量)差为每月-62 km3(每月-18×106 km2)。分析表明,与较慢的NSIDC漂移数据相比,这种负偏差主要归因于IFREMER漂移速度更快。将基于NSIDC的海冰体积通量估算值与不来梅大学(UB)的结果进行比较,两种产品相对较好,在2011年1月至2011年期间,每月平均偏差为(5.7±45.9)km3。 2013年8月。基于IFREMER的体积通量也与1990年代以前的结果非常吻合。与P1(1990 / 1991-1993 / 1994)和P2(2003 / 2004-2007 / 2008)相比,WAVF估计值表明P3(2011 / 2012-2014 / 2015)的下降超过600 km3。在这三个时期中,海冰体积通量的变化和下降主要归因于海冰运动的变化,其次归因于海冰厚度的变化,而最小的归因于海冰浓度的变化。

著录项

  • 来源
    《海洋学报(英文版)》 |2018年第9期|107-115|共9页
  • 作者单位

    Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;

    Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266200, China;

    Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;

    Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266200, China;

    Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    Shidao Meteorological Observatory of Shandong Province, Weihai 264309, China;

    Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;

    Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266200, China;

    Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;

    Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266200, China;

    Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;

    Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266200, China;

    Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    Wenchang Campus of China University of Mining and Technology, Xuzhou 221008, China;

    National Marine Environmental Forecasting Center, State Oceanic Administration, Beijing 100081, China;

    Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;

    Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266200, China;

    Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
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