Effect of wave-induced mixing on sea surface temperature seasonal prediction in the North Pacific in 2016

Zhao Yiding; Yin Xunqiang; Song Yajuan; Qiao Fangli

doi:10.3969/j.issn.0253-4193.2019.03.006

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Zhao Yiding, Yin Xunqiang, Song Yajuan, Qiao Fangli. Effect of wave-induced mixing on sea surface temperature seasonal prediction in the North Pacific in 2016[J]. Haiyang Xuebao, 2019, 41(3): 52-61. doi: 10.3969/j.issn.0253-4193.2019.03.006

Citation:

Zhao Yiding, Yin Xunqiang, Song Yajuan, Qiao Fangli. Effect of wave-induced mixing on sea surface temperature seasonal prediction in the North Pacific in 2016[J]. Haiyang Xuebao, 2019, 41(3): 52-61. doi: 10.3969/j.issn.0253-4193.2019.03.006

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Effect of wave-induced mixing on sea surface temperature seasonal prediction in the North Pacific in 2016

doi: 10.3969/j.issn.0253-4193.2019.03.006

1.
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China;First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
2.
First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China;Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology(Qingdao), Qingdao 266071, China;Key Lab of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China

Received Date: 2018-02-14
Rev Recd Date: 2018-05-07

Abstract

Abstract

The vertical mixing induced by waves affects the structure of the upper ocean, which dominates the atmosphere-ocean coupling system through air-sea exchanges. Hence waves have an important effect on climate prediction. Based on the First Institute of Oceanography Earth System Model (FIO-ESM), a group of prediction experiments are conducted. One of the experiments is coupled with the wave model and the other is not. The prediction results in 2016 are applied to study the effects of wave-induced mixing on the seasonal prediction of the North Pacific sea surface temperature (SST). Considering the wave-induced mixing, the prediction error is significantly reduced at high latitudes of the North Pacific. The predicted sea surface temperature anomaly (SSTA) can be improved by 1℃ near (45°N, 150°E). The climate model well predicts the meridional distribution of SSTA, especially the distribution characteristics during 25°-45°N. Then, the heat budgets of the two experiments are analyzed to find the reason for this improvement. The result indicates that the vertical mixing is the main influencing factor. The wave-induced mixing causes SST to reduce substantially at high latitudes and to increase slightly at low latitudes in 2016, which plays a key role in SST seasonal prediction in the North Pacific.
- seasonal prediction,
- North Pacific,
- SST,
- wave-induced mixing,
- climate model

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