| 基于19GHz修正91GHz频段改进的ASI海冰密集度算法 |
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| 引用本文： | 吴展开,王星东,Wang Xuemei.基于19GHz修正91GHz频段改进的ASI海冰密集度算法[J].海洋学报(英文版),2019,38(10):93-99. |
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| 作者姓名： | 吴展开 王星东 Wang Xuemei |
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| 作者单位： | 河南工业大学 信息科学与工程学院, 河南 郑州 450001,河南工业大学 信息科学与工程学院, 河南 郑州 450001;中国科学院 遥感与数字地球研究所, 北京 100094,河南工业大学 信息科学与工程学院, 河南 郑州 450001 |
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| 基金项目： | The National Natural Science Foundation of China under contract No. 41606209; the Open Fund from Key Laboratory of Global Change and Marine-Atmospheric Chemistry under contract No. GCMAC1605; the Natural Science Project of Henan Education Department under contract No. 15A120007; the Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences under contract No. KLOCW1805. |
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| 摘 要： | 基于数据融合算法思想，利用低频修正高频微波数据提出改进的ASI海冰密集度反演算法，对北极海冰进行反演研究。目前用于整体海冰密集度反演的算法中，使用低频数据的算法受天气影响较弱，但空间分辨率相对较低；而使用高频数据的算法，空间分辨率相对较高，但受天气影响较大，虽然使用天气滤波器处理，能消除那些被误判成海冰的水点，但并没有改变冰点的密集度。改进的ASI算法，利用低频数据（19GHz）修正高频数据（85.5GHz），进而得到修正后的85.5GHz的极化差P''，将P带入ASI算法，最终得到以2008-2016年每年的1月3日SSMIS数据为例的北冰洋整体海冰密集度反演结果。结果表明，改进后的ASI算法得到的总体海冰面积介于ASI与NASA Team两个结果之间；在边缘海冰区，改进后的ASI算法结果与传统的ASI算法结果在海冰面积与平均海冰密集度上都有较大差异，且前者更接近NASA Team算法。因此改进后的ASI算法，在空间分辨率上优于NASA Team算法，在受天气影响程度上更弱于ASI算法，并且有效变了边缘海冰区像元的海冰密集度。
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| 关 键 词： | ASI|海冰密集度|SSMIS|NASA Team算法 |
| 收稿时间： | 2018/6/19 0:00:00 |
An improved ARTSIST sea ice algorithm based on 19 GHz modified 91 GHz |
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| Wu Zhankai,Wang Xingdong and Wang Xuemei.An improved ARTSIST sea ice algorithm based on 19 GHz modified 91 GHz[J].Acta Oceanologica Sinica,2019,38(10):93-99. |
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| Authors: | Wu Zhankai Wang Xingdong and Wang Xuemei |
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| Institution: | 1.College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China2.College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China |
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| Abstract: | An enhanced ARTSIST Sea Ice (ASI) algorithm is presented based on a data fusion method of calculating total sea ice concentration from high-frequency microwave data. Algorithms that use low-frequency data to calculate total sea ice concentration are less affected by atmosphere, but their spatial resolutions tend to be lower. In contrast, algorithms using high-frequency data have higher spatial resolution but are significantly influenced by atmosphere. Although errors can be eliminated using weather filters, the concentration of mixed pixels cannot be modified. Here, an enhanced ASI algorithm uses the 19 GHz polarization difference to modify the 91 GHz polarization difference, which is substituted into the ASI algorithm to calculate total sea ice concentration. Arctic total sea ice concentration results are obtained based on Special Sensor Microwave Imager Sounder (SSMIS) data on January 3, from 2008 to 2017. Total sea ice area and average concentration using the enhanced ASI algorithm are compared to traditional ASI and NASA Team results. In the Marginal Ice Zone, there is a considerable difference between the enhanced and traditional ASI algorithm results, with the former much closer to the NASA Team results. The proposed algorithm effectively modifies the concentration of the mixed pixels in the marginal zone. |
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| Keywords: | ASI algorithm|sea ice concentration|SSMIS|NASA Team algorithm |
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