| 基于AMSR-E数据的多年冰密集度反演算法研究 |
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| 引用本文： | 郝光华,苏洁.基于AMSR-E数据的多年冰密集度反演算法研究[J].海洋学报(英文版),2015,34(9):102-109. |
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| 作者姓名： | 郝光华 苏洁 |
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| 作者单位： | 中国海洋大学 物理海洋教育部重点实验室, 山东 青岛 266100,中国海洋大学 物理海洋教育部重点实验室, 山东 青岛 266100 |
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| 摘 要： | In recent years, the rapid decline of Arctic sea ice area(SIA) and sea ice extent(SIE), especially for the multiyear(MY) ice, has led to significant effect on climate change. The accurate retrieval of MY ice concentration retrieval is very important and challenging to understand the ongoing changes. Three MY ice concentration retrieval algorithms were systematically evaluated. A similar total ice concentration was yielded by these algorithms, while the retrieved MY sea ice concentrations differs from each other. The MY SIA derived from NASA TEAM algorithm is relatively stable. Other two algorithms created seasonal fluctuations of MY SIA, particularly in autumn and winter. In this paper, we proposed an ice concentration retrieval algorithm, which developed the NASA TEAM algorithm by adding to use AMSR-E 6.9 GHz brightness temperature data and sea ice concentration using 89.0GHz data. Comparison with the reference MY SIA from reference MY ice, indicates that the mean difference and root mean square(rms) difference of MY SIA derived from the algorithm of this study are 0.65×106 km2 and0.69×106 km2 during January to March, –0.06×106 km2 and 0.14×106 km2 during September to December respectively. Comparison with MY SIE obtained from weekly ice age data provided by University of Colorado show that, the mean difference and rms difference are 0.69×106 km2 and 0.84×106 km2, respectively. The developed algorithm proposed in this study has smaller difference compared with the reference MY ice and MY SIE from ice age data than the Wang's, Lomax' and NASA TEAM algorithms.
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| 关 键 词： | 多年冰密集度 反演算法 AMSR-E数据 |
| 收稿时间： | 2014/9/19 0:00:00 |
| 修稿时间： | 2015/3/23 0:00:00 |
A study of multiyear ice concentration retrieval algorithms using AMSR-E data |
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| HAO Guanghua and SU Jie.A study of multiyear ice concentration retrieval algorithms using AMSR-E data[J].Acta Oceanologica Sinica,2015,34(9):102-109. |
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| Authors: | HAO Guanghua and SU Jie |
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| Institution: | Key Laboratory of Physical Oceanography, Ocean University of China, Qingdao 266100, China |
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| Abstract: | In recent years, the rapid decline of Arctic sea ice area (SIA) and sea ice extent (SIE), especially for the multiyear (MY) ice, has led to significant effect on climate change. The accurate retrieval of MY ice concentration retrieval is very important and challenging to understand the ongoing changes. Three MY ice concentration retrieval algorithms were systematically evaluated. A similar total ice concentration was yielded by these algorithms, while the retrieved MY sea ice concentrations differs from each other. The MY SIA derived from NASA TEAM algorithm is relatively stable. Other two algorithms created seasonal fluctuations of MY SIA, particularly in autumn and winter. In this paper, we proposed an ice concentration retrieval algorithm, which developed the NASA TEAM algorithm by adding to use AMSR-E 6.9 GHz brightness temperature data and sea ice concentration using 89.0 GHz data. Comparison with the reference MY SIA from reference MY ice, indicates that the mean difference and root mean square (rms) difference of MY SIA derived from the algorithm of this study are 0.65×106 km2 and 0.69×106 km2 during January to March, -0.06×106 km2 and 0.14×106 km2 during September to December respectively. Comparison with MY SIE obtained from weekly ice age data provided by University of Colorado show that, the mean difference and rms difference are 0.69×106 km2 and 0.84×106 km2, respectively. The developed algorithm proposed in this study has smaller difference compared with the reference MY ice and MY SIE from ice age data than the Wang's, Lomax' and NASA TEAM algorithms. |
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| Keywords: | multiyear ice concentration retrieval algorithms AMSR-E data |
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