Inter-comparison and evaluation of Arctic sea ice type products
编号:774 访问权限:仅限参会人 更新:2021-06-15 14:13:49 浏览:557次 张贴报告

报告开始:2021年07月10日 08:35(Asia/Shanghai)

报告时间:5min

所在会场:[SP] 张贴报告专场 [SP-16] 主题16、冰冻圈科学 墙报

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摘要
Sea ice, especially its types, is a sensitive indicator of climate change. As the dramatic decrease of Arctic sea ice area, it is increasingly dominated by thinner and younger first-year ice (FYI) instead of multiyear ice (MYI). Several sea ice type (SIT) products have been produced with microwave satellite observations since the late 1990s. However, they differ significantly in resolution, method and the involved satellite data, resulting in various performances. It remains insufficient in detailed comparison and accuracy evaluation among the products. This paper presents key results of inter-comparison and evaluation of five SIT products (Table 1) covering the winter seasons in the Arctic Basin. The SIT products from 2000 to 2020 was inter-compared with sea ice age (SIA) product and high resolution Synthetic Aperture Radar (SAR) images. Detailed performances of the five SIT products with methods analysis can be summarized as follows:
① The C3S-SIT product is based on a Bayesian algorithm and single radiometric parameter (gradient ratio), it has the longest temporal record however the largest fluctuation in the periphery of the Arctic basin. ② Unlike C3S-SIT, OSISAF-SIT uses radiometer data along with scatterometer data with higher. It provides more details on ice type distribution, however could not avoid the atmospheric influence. ③ The Zhang-SIT product is based on a feature-clustering algorithm and combination of passive and active microwave observations. It exhibits distinguished performance in the two scatterometer period, with good performance in 2000-2009 while prominent underestimation of MYI occurs after 2009. ④ KNMI-SIT employs a modified Bayesian algorithm and uses scatterometer measurements only as inputs. It performs best in the second half of winters, while has large MYI variations in the beginning of winters, especially with C-band scatterometer. ⑤ Similar as KNMI-SIT, IFREMER-SIT uses scatterometer data only and shows obvious underestimation of MYI.
Overall, the results show that the SIT products with combined scatterometer and radiometer data, with QSCAT than ASCAT scatterometer data, and with high resolution than low resolution have overall better performances on sea ice type discrimination. In addition, their performances vary with periods and regions. Their results are the most stable and credible in the Center Arctic in mid-winter, while large variations occur in the beginning and end of winters, mainly in the Beaufort Sea (BS) and East Siberia Sea (ESS).
 
关键词
seaice,sea ice type,products comparison,multiyear ice(MYI),microwave,scatterometer and radiometer
报告人
罗砚冰
中山大学

稿件作者
叶玉芳 中山大学
罗砚冰 中山大学
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重要日期
  • 会议日期

    07月09日

    2021

    07月11日

    2021

  • 05月30日 2021

    摘要截稿日期

  • 05月30日 2021

    初稿截稿日期

  • 05月30日 2021

    提前注册日期

  • 07月10日 2021

    注册截止日期

  • 07月11日 2021

    报告提交截止日期

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青年地学论坛理事会
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中国科学院地球化学研究所
贵州大学
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