...
首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Estimation of Sea-Ice Thickness in Ross and Weddell Seas from SSM/I Brightness Temperatures
【24h】

Estimation of Sea-Ice Thickness in Ross and Weddell Seas from SSM/I Brightness Temperatures

机译:从SSM / I亮度温度估算罗斯和韦德尔海的海冰厚度

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

In polar regions, ocean–atmosphere interactions are strongly influenced by sea ice and its thickness. Since satellite passive microwave observations became available in the 1970s, significant progress has been made in the study of snow depth and sea ice concentration and extent in these regions. Estimating sea-ice thickness (SIT), instead, turned out to be considerably more difficult. We present a new empirical algorithm to estimate SIT in the Ross and Weddell Seas from Special Sensor Microwave/Imager brightness temperatures. This algorithm combines brightness temperature polarization difference and ratio values to obtain SIT for seasonal ice up to a thickness of about 90 cm during freezing conditions. A series of filters accounts for open water, new ice, and snow on sea ice. Our SIT estimates are consistent with colocated visual ship-based SIT observations made according to the Antarctic Sea Ice Processes and Climate project, showing linear correlation values between 0.73 and 0.96 and root-mean-square-error values between 14 and 24 cm. The seasonal development of the region average SIT derived with our approach agrees with the corresponding values derived from U.S. National Ice Center ice charts. Comparison with colocated polynya distribution maps suggests that the algorithm could be optimized for its performance with regard to SIT values around 50 cm and that a closer investigation of the snow impact on the SIT retrieval is required.
机译:在极地地区,海冰及其厚度强烈影响海洋与大气的相互作用。自从1970年代提供卫星被动微波观测以来,在这些地区的积雪深度和海冰浓度及范围的研究方面已取得了重大进展。相反,估计海冰厚度(SIT)要困难得多。我们提出了一种新的经验算法,可以根据特殊传感器微波/成像仪的亮度温度估算罗斯和韦德海的SIT。该算法结合了亮度温度极化差和比率值,以获得季节性冰的SIT,在冻结条件下厚度达到约90 cm。一系列的过滤器可以解释开阔水域,新冰和海冰上的积雪。我们的SIT估计值与根据南极海冰过程和气候项目进行的基于主机的视觉SIT观测值一致,该观测值显示0.73至0.96之间的线性相关值以及14 cm至24 cm之间的均方根误差值。通过我们的方法得出的地区平均SIT的季节性变化与从美国国家冰中心冰图得出的相应值一致。与共置的多年生植物分布图的比较表明,该算法可以针对50 cm左右的SIT值对其性能进行优化,并且需要对降雪对SIT取回的影响进行更深入的研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号