| 基于GOCI数据渤海海冰厚度算法研究 |
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| 引用本文： | 刘文宋,盛辉,张晰.基于GOCI数据渤海海冰厚度算法研究[J].海洋学报(英文版),2016,35(7):105-112. |
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| 作者姓名： | 刘文宋 盛辉 张晰 |
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| 作者单位： | 中国石油大学(华东), 地球科学与技术学院, 青岛, 266580;国家海洋局, 第一海洋研究所, 青岛, 610500,中国石油大学(华东), 地球科学与技术学院, 青岛, 266580,国家海洋局, 第一海洋研究所, 青岛, 610500 |
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| 基金项目： | The National Natural Science Foundation of China under contract No. 41306193; the Research and Development Special Foundation for Public Welfare Industry under of China contract No. 201105016; the Basic Research of First Institute of Oceanography, State Oceanic Administration under contract No.GY2014T03. |
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| 摘 要： | 提出一种基于GOCI数据提取渤海海冰厚度方法并将其应用于2014年-2015年冬季渤海海冰厚度动态变化监测。首先基于高时间分辨率的GOCI数据建立GOCI短波宽带反射率与各波段反射率模型，然后建立海冰厚度与GOCI短波宽带反射率模型，并将此模型应用于渤海海冰厚度监测，最后通过基于MODIS数据、热动力学模型（Lebedev和Zubov模型）反演获得的海冰厚度以及实测海冰厚度数据对实验结果进行验证。实验结果表明：基于GOCI数据建立海冰厚度模型所反演的海冰厚度与基于MODIS数据反演的海冰厚度以及Lebedev和Zubov模型具有较高相关性（R2>0.86），而且反演结果接近实测数据（RMS为6.82 cm）。
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| 关 键 词： | 海冰 厚度 GOCI 渤海 |
| 收稿时间： | 8/7/2015 12:00:00 AM |
| 修稿时间： | 2016/11/2 0:00:00 |
Sea ice thickness estimation in the Bohai Sea using geostationary ocean color imager data |
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| LIU Wensong,SHENG Hui and ZHANG Xi.Sea ice thickness estimation in the Bohai Sea using geostationary ocean color imager data[J].Acta Oceanologica Sinica,2016,35(7):105-112. |
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| Authors: | LIU Wensong SHENG Hui and ZHANG Xi |
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| Institution: | 1.Shool of Geosciences, China University of Petroleum (East China), Qingdao 266580, China;First Institute of Oceanography, State Oceanic Administration, Qingdao 266661, China2.Shool of Geosciences, China University of Petroleum (East China), Qingdao 266580, China3.First Institute of Oceanography, State Oceanic Administration, Qingdao 266661, China |
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| Abstract: | A method to estimate the thickness of the sea ice of the Bohai Sea is proposed using geostationary ocean color imager (GOCI) data and then applied to the dynamic monitoring of the sea ice thickness in the Bohai Sea during the winter of 2014 to 2015. First of all, a model is given between the GOCI shortwave broadband albedo and the reflectance of each band with high temporal resolution GOCI data. Then, the relationship model between the sea ice thickness and the GOCI shortwave broadband albedo is established and applied to the thickness extraction of the sea ice in the Bohai Sea. Finally, the sea ice thickness extraction method is tested by the results based on the MODIS data, thermodynamic empirical models (Lebedev and Zubov), and the in situ ice thickness data. The test results not only indicated that the sea ice thickness retrieval method based on the GOCI data was a good correlation (r2>0.86) with the sea ice thickness retrieved by the MODIS and thermodynamic empirical models, but also that the RMS is only 6.82 cm different from the thickness of the sea ice based on the GOCI and in situ data. |
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| Keywords: | sea ice thickness geostationary ocean color imager Bohai Sea |
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