Journal of Tropical Oceanography

Previous Articles     Next Articles

Ocean current speed estimation based on temperature fluctuations cross-correlation analysis

CHEN Hao1, 2, GUO Shuangxi1, 2, ZHOU Shengqi1, 2, HUANG Pengqi1, SHANG Xiaodong1, CHEN Jiajing1, 2, WENG Zeyao1, 2, REN Jun1,2, LU Yuanzheng3, HAN Guanghui4   

  1. 1. State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China

    2. University of Chinese Academy of Sciences, Beijing 100049, China

    3. Earth and Environmental Systems Research Facility, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511453, China

    4. Ocean Net Technology Co. Ltd., Guangzhou 511493, China



  • Received:2025-12-31 Revised:2026-02-09 Accepted:2026-04-10
  • Supported by:

    National Key Research and Development Program of China (2021YFC3101300); National Natural Science Foundation of China (42206020, 42449907); Science and Technology Projects in Guangzhou (2024A04J4049).

Abstract: Current speed is one of the most fundamental physical variables in the ocean, and its observation constitutes the basis for studies of oceanic dynamical processes. Conventional acoustic current meters suffer from observational blind zones, and their measurement quality is strongly affected by the concentration of suspended particles in the water column. In many environments—particularly in regions close to the seafloor—current observations are therefore subject to significant limitations. In this study, high-resolution temperature measurements obtained from a mooring deployed near the Dongsha Islands from 19 to 24 June 2025 were used to infer current speed at approximately 1 and 23 m above the seabed based on the maximum cross-correlation method. By performing correlation analyses with varying window sizes ranging from 0.5 to 240 minutes and comparing the inferred speed with those measured by an acoustic Doppler current profiler (ADCP), we demonstrate that the inferred current speed is sensitive to the window size. When the window size is set between 2 and 60 minutes, the speed derived from temperature cross-correlation agree well with the measurements, yielding a correlation coefficient of up to 0.67 and a root mean square error (RMSE) of approximately 0.02 m·s-1. This study provides a new methodological perspective for measuring ocean current.

Key words: speed estimation, maximum cross-correlation, temperature observation, window size