| 摘要: |
| 海水三维温度场是海洋研究和海洋工程领域中最重要的数据资料之一。本研究基于量纲分析法获得海面参数和海水内部温度剖面之间的函数关系，进而提出了一种利用海面温度和海面动力高度反演大洋月平均三维温度场的方法。本研究基于该方法估算了西太平洋海域0~1 000 m深度范围月平均三维温度场，并将反演结果与基于Argo资料获得的三维温度场进行了比较，其结果证明了该方法的有效性。 |
| 关键词: 海洋物理学 温度场 海面温度 海面动力高度 遥感 |
| DOI：10.3969/J.ISSN.2095-4972.2020.03.002 |
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| 基金项目:国家自然科学基金资助项目(61601132，41776029)；自然资源部第三海洋研究所基本科研业务费专项资金资助项目(海三科2014018)；广东省自然科学基金资助项目(2016A030313751)；江苏高校优势学科建设工程资助项目；江苏海洋大学创新基金资助项目(Z2017006) |
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| Combining sea surface temperature and dynamic sea surface height to estimate monthly-mean 3D temperature field in the West Pacific |
| ZHA Guo-zhen,RUAN Hai-lin,LIANG Jian-jun,LI Li,Lv Hai-bin,CHENG Yin-he |
| (Jiangsu Ocean University, Lianyungang 222005, China;Third Institute of Oceanography, MNR, Xiamen 361005, China;Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China) |
| Abstract: |
| The three-dimensional (3D) temperature field is one of the most important data in oceanographic research and offshore ocean engineering. A new method to estimate the monthly-mean 3D temperature field used sea surface temperature (SST) and dynamic sea surface height (SSH) is proposed in this paper. The method is employed to determine the 0-1 000 m 3D temperature field in the West Pacific Ocean. Compared with Argo-based monthly-mean temperature field, the result shows that the method is effective. |
| Key words: physical oceanography temperature field sea surface temperature dynamic sea surface height remote sensing |
