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引用本文:谷洪钦,毕海波,黄海军.桑沟湾海冰厚度遥感反演研究[J].海洋科学,2016,40(9):79-84.
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桑沟湾海冰厚度遥感反演研究
谷洪钦1, 毕海波2,3, 黄海军2,3
1.国核电力规划设计研究院;2.中国科学院海洋研究所;3.国家海洋科学实验室
摘要:
为解决现场调查数据覆盖不足的问题, 利用卫星遥感数据(Landsat TM 和ETM+)对桑沟湾海域的海冰厚度进行了反演。与Zubov 模型计算结果相比, 本反演结果与之接近(相关系数0.89)。由遥感影像提取结果看出, 桑沟湾海冰厚度随时间和空间变化明显。在轻冰年份, 桑沟湾基本无冰。在偏重冰年和重冰年份, 桑沟湾出现大量浮冰, 并且海冰在水动力和风应力的作用下, 呈现由近岸到离岸冰厚不断减小的趋势。重冰年份桑沟湾南侧由于受潮汐和风力推动作用下发生挤压变形, 近岸出现平均冰厚较大的海冰(20 cm), 桑沟湾中部也出现平均厚度约5~10 cm 的海冰。
关键词:  海冰  桑沟湾  遥感
DOI:10.11759/hykx20160510001
分类号:
基金项目:国家自然科学基金项目(41406215); 石岛湾核电厂址海工工程海冰观测分析专题项目(2015HA00271S); 中国博士后基金面上项目(2014M561971); 中国科学院海洋研究所开放基金(MGE2013KG07)
Sea ice thickness in the Sanggou Bay retrieved from satellite observations
GU Hong-qin,BI Hai-bo,HUANG Hai-jun
Abstract:
Sea ice is frequently observed in the Sanggou Bay and has significant influence on the local aquaculture community. Due to the absence of field measurements and due to rigid winter conditions that make it too hostile to conduct in-situ observations, we make use of satellite images to estimate sea ice thickness. Comparative results suggest that our estimations agree well with results from a robust model with a mean bias of 2 cm, standard deviation of 6 cm, and correlation coefficient of 0.76. Spatiotemporal behavior is clearly reflected in our satellite-derived thickness. Under warmer conditions, there is basically no ice in the bay. In years of moderate-to- low temperatures, the bay may be broadly covered by ice floes. The declining trend from onshore to offshore is obvious. In particular, in heavy ice years, the southern Sanggou Bay is dominated by sea ice with a mean thickness of 20 cm due to the effects of tides and winds.
Key words:  sea ice  the Sanggou Bay  remote sensing
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