Optimizing the spatial ocean observation system based on data assimilation assessment: the Gulf of Thailand as an example

Shi Junqiang; Yin Xunqiang; Qiao Fangli

doi:10.3969/j.issn.0253-4193.2018.02.002

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Shi Junqiang, Yin Xunqiang, Qiao Fangli. Optimizing the spatial ocean observation system based on data assimilation assessment: the Gulf of Thailand as an example[J]. Haiyang Xuebao, 2018, 40(2): 14-29. doi: 10.3969/j.issn.0253-4193.2018.02.002

Citation:

Shi Junqiang, Yin Xunqiang, Qiao Fangli. Optimizing the spatial ocean observation system based on data assimilation assessment: the Gulf of Thailand as an example[J]. Haiyang Xuebao, 2018, 40(2): 14-29. doi: 10.3969/j.issn.0253-4193.2018.02.002

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Optimizing the spatial ocean observation system based on data assimilation assessment: the Gulf of Thailand as an example

doi: 10.3969/j.issn.0253-4193.2018.02.002

1.
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China;The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
2.
The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
3.
The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China;Key Laboratory of Marine Sciences and Numerical Modeling, State Oceanic Administration, Qingdao 266061, China

Received Date: 2017-02-13

Abstract

Abstract

The cost for ocean observation system is very high, and the scientific design of observation system can make it effective. Taking the high frequency radar system of the Gulf of Thailand as an example, we established a three-dimensional ocean circulation model using FVCOM. A series of evaluation numerical experiments were carried out to assess the performance of the existing observational radar system. The simulated surface current data in three observation regions were assimilated by means of various combinations using an efficient ensemble Kalman filter data assimilation method. The experimental results showed that the coastal surface current observation system plays a quite positive role in improving the current simulation in the whole domain, although the observation only covers small parts of this area. The existing observation system is helpful for ocean circulation simulation and forecast. However, the improvement effect for three observation regions was quite different, which means the current observation system is not effective and need to be optimized. In addition, this study used the ensemble transform Kalman filter optimal observation scheme to explore the ideal deployment of observational stations, which could be a useful guidance for future re-design of this observation system.
- optimizing oceanic observation system,
- Gulf of Thailand,
- high frequency radar

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