Test of salinity profile correction method for MVP system based on temperature gradient profile analysis

Li Hongchen; Chen Xi; Mao Kefeng; Wang Penghao; Li Ming

doi:10.12284/hyxb2023171

Volume 45 Issue 12

Dec. 2023

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Li Hongchen，Chen Xi，Mao Kefeng, et al. Test of salinity profile correction method for MVP system based on temperature gradient profile analysis[J]. Haiyang Xuebao，2023, 45(12)：179–192 doi: 10.12284/hyxb2023171

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Test of salinity profile correction method for MVP system based on temperature gradient profile analysis

doi: 10.12284/hyxb2023171

1.
College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410003, China
2.
Second Interdisciplinary Center, College of Frontier Interdisciplinary Sciences, National University of Defense Technology, Nanjing 211101, China

Received Date: 2023-09-13
Rev Recd Date: 2023-10-31

Available Online: 2023-12-29

Publish Date: 2023-12-01

Abstract

Abstract

The Moving Vessel Profiler (MVP) has the advantage of acquiring temperature and salinity profiles with high spatial resolution. However, since a pumpless CTD is used for the temperature and salinity measurements, adjusting the response time of the sensor and correcting for thermal inertia are important issues in processing the measured data and complicate the application of the data. Since the existing thermal inertia correction methods still have salinity peaks at the strong thermocline, in this work we propose a layered method to optimize the thermal inertia correction parameters based on the analysis of the measured temperature gradient profile to correct the temperature and conductivity, and thus the salinity profile. The results show that the method significantly reduces the salinity difference between the upward and downward measured profiles of the MVP and essentially eliminates the salinity peaks, especially in the thermocline. The average absolute salinity difference between the upward and downward measured profiles is reduced from 0.031 to 0.016 1, which corresponds to a 48.1% reduction in salinity error and confirms the appropriateness of the salinity profile correction method proposed in this work for the MVP.
- MVP,
- salinity correction,
- thermal inertia effect,
- temperature gradient profile analysis

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References(15)

References

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