Volume 42 Issue 2
Feb.  2023
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Qianqian Li, Shoulian Cao, Yu Luo, Kai Zhang, Fanlin Yang. Basis functions for shallow-water temperature profiles based on the internal-wave eigenmodes[J]. Acta Oceanologica Sinica, 2023, 42(2): 56-64. doi: 10.1007/s13131-022-2072-7
Citation: Qianqian Li, Shoulian Cao, Yu Luo, Kai Zhang, Fanlin Yang. Basis functions for shallow-water temperature profiles based on the internal-wave eigenmodes[J]. Acta Oceanologica Sinica, 2023, 42(2): 56-64. doi: 10.1007/s13131-022-2072-7

Basis functions for shallow-water temperature profiles based on the internal-wave eigenmodes

doi: 10.1007/s13131-022-2072-7
Funds:  The Natural Science Foundation of Shandong Province of China under contract Nos ZR2022MA051 and ZR2020MA090; the Fund of China Postdoctoral Science Foundation under contract No. 2020M670891; the Shandong University of Science and Technology Research Fund under contract No. 2019TDJH103; the Talent Introduction Plan for Youth Innovation Team in Universities of Shandong Province (Innovation Team of Satellite Positioning and Navigation).
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  • Corresponding author: E-mail: luoyu@sdust.edu.cn
  • Received Date: 2022-02-18
  • Accepted Date: 2022-05-01
  • Available Online: 2022-10-28
  • Publish Date: 2023-02-25
  • The shallow-water temperature profile is typically parameterized using a few empirical orthogonal function (EOF) coefficients. However, when the experimental area is poorly known or highly variable, the adaptability of the EOFs will be significantly reduced. In this study, a new set of basis functions, generated by combining the internal-wave eigenmodes with the average temperature gradient, is developed for characterizing the temperature perturbations. Temperature profiles recorded by a thermistor chain in the South China Sea in 2015 are processed and analyzed. Compared to the EOFs, the new set of basis functions has higher reconstruction accuracy and adaptability; it is also more stable in ocean regions that have internal waves.
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