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Seasonal Sea Surface Temperature Variability over Tropical Indo-Pacific Region Simulated by FIO-ESM Model Under Global Warming

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Abstract

The long-term trend and seasonal variability of sea surface temperature (SST) over tropical Indo-Pacific region under the global warming projection simulated by FIO-ESM model are analyzed. At seasonal time scale, significant warming trend over Indo-Pacific area is well captured by FIO-ESM model over the warm pool region under RCP8.5 scenario. The La Niña-like warming pattern is dominant in the tropical Pacific and the negative Indian Ocean Dipole warming pattern takes place in the Indian Ocean in global warming projection separately. The strength of SST warming trend is found to be seasonal dependent over Indo-Pacific region. The spatial distribution of calendar month where fastest/slowest SST warming trend take place in tropical Indo-Pacific has been assessed in FIO-ESM simulation, which is corresponded with the distribution of SST climatology closely in Pacific but not in Indian Ocean.

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Acknowledgements

This work was jointly supported by National Key R&D Program of China (2017YFC1405100), Basic Scientific Fund for National Public Research Institutes of China (2017S02), Natural Science Foundation of China Grants (41876028), Global Change and Air-Sea Interaction Program (GASI-IPOVAI-03, GASI-IPOVAI-02, GASI-IPOVAI-06, GASI-02-IND-STSaut, and GASI-02-IND-STSwin), Taishan Scholars Programs of Shandong Province (No. tsqn201909165), Indian Ocean Ninety-east Ridge Ecosystem and Marine Environment Monitoring and Protection, the China Ocean Mineral Resources R & D Association (Contact No. DY135-E2-4), and NSFC-Shandong Joint Fund for Marine Science Research Centers (U1606405). This work was also supported by Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai.

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Authors and Affiliations

  1. Center for Ocean and Climate Research, First Institute of Oceanography, Ministry of Natural Resources, Qingdao, 266061, China

    Xinyou Zhang & Lin Liu

  2. Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266061, China

    Xinyou Zhang, Lin Liu & Yajuan Song

  3. First Institute of Oceanography, Ministry of Natural Resources, Qingdao, 266061, China

    Yajuan Song

  4. Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao, 266061, China

    Yajuan Song

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  1. Xinyou Zhang
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Correspondence to Lin Liu.

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Zhang, X., Liu, L. & Song, Y. Seasonal Sea Surface Temperature Variability over Tropical Indo-Pacific Region Simulated by FIO-ESM Model Under Global Warming. Pure Appl. Geophys. 177, 4045–4056 (2020). https://doi.org/10.1007/s00024-020-02439-7

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