Page 94 - 《应用声学》2021年第5期

第 40 卷 第 5 期 Vol. 40, No. 5
2021 年 9 月 Journal of Applied Acoustics September, 2021

⋄ 研究报告 ⋄

温盐深剖面仪与Argo数据的冬季印度洋

声速剖面分析 ∗

李宏琳 李倩倩 † 周康颖 严 娴 曹守莲 马志川

(山东科技大学测绘与空间信息学院 青岛 266590)
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。
关键词：声速剖面；拟合；BOA_Argo 数据集
中图法分类号: P733.2 文献标识码: A 文章编号: 1000-310X(2021)05-0738-07
DOI: 10.11684/j.issn.1000-310X.2021.05.012

Indian Ocean sound velocity profile analysis of CTD and Argo data in winter

LI Honglin LI Qianqian ZHOU Kangying YAN Xian CAO Shoulian MA Zhichuan

(College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China)

Abstract: The conductance temperature depth (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 tem-
perature (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.
Keywords: Sound speed profile; Polynomial fitting; “BOA_Argo” grid data

2020-12-29 收稿; 2021-04-07 定稿
中国博士后科学基金 (2020M670891), 山东省高等学校青年创新团队人才引育计划
∗
作者简介: 李宏琳 (1995– ), 女, 河北石家庄人, 硕士研究生, 研究方向: 海洋声学。
† 通信作者 E-mail: lqq@mail.ioa.ac.cn