| 李宏琳,李倩倩,周康颖,严娴,曹守莲,马志川.温盐深剖面仪与Argo数据的冬季印度洋 声速剖面分析*[J].,2021,40(5):738-744 |
| 温盐深剖面仪与Argo数据的冬季印度洋 声速剖面分析* |
| Indian Ocean Sound velocity profile analysis of CTD and Argo data in Winter |
| 投稿时间：2020-12-29 修订日期：2021-09-02 |
| 中文摘要: |
| 通过某一次在东南印度洋调查工作中获得的17站位温盐深剖面仪(CTD)数据，因其表层0~10 m数据缺失，选择利用卫星遥感的海表面温度产品与中国Argo实时资料中心提供的全球海洋Argo网格数据集(BOA_Argo)中逐年月平均数据做比较，发现BOA_Argo数据集反推得到的表层温度是比较准确的。再将CTD数据与对应时间和测区内的BOA_Argo数据集的两种数据进行对比，对缺失的CTD数据进行合理的外延。因此，该文首先对缺失的4个站位的温度和盐度进行外延，然后根据Dell Grosso声速经验公式计算声速剖面，再外延到与BOA_Argo网格资料数据等深。研究结果表明CTD数据与BOA_Argo数据集中逐年月平均数据的声速剖面吻合得更好，其总体均方根误差为0.7544 m/s。 |
| 英文摘要: |
| The (CTD) data are obtained from a survey in 17 stations of Southeast Indian Ocean. Due to the missing data of 0-10 meters shallow water depth, the sea surface temperature (SST) product of satellite remote sensing and the global ocean Argo grid provided by the Chinese Argo real-time data center were selected. The data set (BOA_Argo) is compared with the average data year by year and month, and it is found that the surface temperature obtained by the inverse calculation of the BOA_Argo data set is more accurate. Then the CTD data is compared with two data of the BOA_Argo data set in the corresponding time and the measurement area, and the missing CTD data needs to be reasonably extended. Therefore, this article first extended the temperature and salinity of 4 stations, then calculated the sound velocity profile according to the Dell Grosso sound velocity empirical formula, and then extended it to the same depth as the BOA_Argo grid data. The research results show that the CTD data is more consistent with the sound velocity profile of the annual and monthly average data in the BOA_Argo data set, and the overall root mean square error is 0.7544 m/s. |
| DOI：10.11684/j.issn.1000-310X.2021.05.012 |
| 中文关键词: 声速剖面 拟合 BOA_Argo数据集 |
| 英文关键词: sound speed profile polynomial fitting |
| 基金项目:山东省高等学校青年创新团队人才引育计划;中国博士后科学基金（2020M670891） |
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