日前，由中国科学院海洋研究所承担的国家自然科学基金委“西太平洋海洋环流动力过程”创新群体项目在结题考核中获得优秀。
“西太平洋海洋环流动力过程”创新研究群体项目2015年立项启动， 6年多来取得了系列创新研究成果。项目组发现太平洋北赤道逆流下面存在一支次温跃层潜流，命名为“北赤道次表层流（NESC）”，是一支横跨整个北太平洋海盆流动的次温跃层洋流，具有显著的季节-年际尺度变化。在西太平洋次温跃层环流动力过程方面取得了0-1的突破成果，首次揭示了大洋次温跃层环流（如NESC等）存在的动力机制，为深入开展大洋中深层环流研究打下了坚实基础。此外还发现了两支印尼贯穿流的新分支，为太-印交换和全球海洋大输送带研究提供了重要的新认识。
项目通过连续层化海洋环流模式的数学建模，考虑了底边界的约束作用，模拟再现了西太平洋次温跃层潜流，揭示了赤道外大洋次温跃层存在的动力机制是海洋对风旋度强迫的低阶斜压模态响应的叠加形成的，克服了经典大洋环流理论存在静止不动的“阴影区”的局限。在环流的暖池和气候效应方面，提出了印度洋偶极子影响太平洋ENSO的“海洋通道”机制。开展了ENSO实时预报并向国际发布。
项目交叉融合紧密，人才培养效果明显，发表SCI论文205篇，出版著作5部，培养研究生83人，博士后13人，主办13次国际学术交流会议。
项目代表性论文：
1.Yuan* D., et al., 2018: Observed Transport Variations in the Maluku Channel of the Indonesian Seas Associated with Western Boundary Current Changes, J. Phys. Oceanogr., 48(8), 1803-1813.
2.Hu, X., J. Sprintall, D. Yuan*, et al., 2019: Interannual variability of the Sulawesi Sea circulation forced by Indo-Pacific planetary waves. J. Geophys. Res.: Oceans, 124, 1616–1633. DOI: 10.1029/2018JC014356.
3.Li, X., Y. Yang, R. Li, L. Zhang, and D. Yuan*, 2020: Structure and dynamics of the Pacific North Equatorial Subsurface Current. Sci. Rep., 10:11758, https://doi.org/10.1038/s41598-020-68605-y
4.Li, X., D. Yuan*, Z. Wang, Y. Li, et al., 2020: Moored observations of transport and variability of Halmahera Sea currents. J. Phys. Oceanogr., 50(2), DOI: 10.1175/JPO-D-19-0109.1
5.Wang, J., D. Yuan*, X. Li, Y. Li, Z. Wang, X. Hu, et al. 2020: Moored observations of the Savu Strait currents in the Indonesian seas. J. Geophys. Res.: Oceans, 125, e2020JC016082. https://doi.org/10.1029/2020JC016082
6.Yang, Y., X. Li, J. Wang, and D. Yuan*, 2020: Seasonal variability and dynamics of the Pacific North Equatorial Subsurface Current. J. Phys. Oceanogr., 50, 2457-2474, doi: 10.1175/JPO-D-19-0261.1.
7.Wang, Q., & Mu, M.* 2015: A new application of conditional nonlinear optimal perturbation approach to boundary condition uncertainty. Journal of Geophysical Research: Oceans, 120(12), 7979–7996. https://doi.org/10.1002/2015JC011095
8.Wang, J., Y. Lu, F. Wang*, and R.-H. Zhang, 2017: Surface Current in “Hotspot” Serves as a New and Effective Precursor for El Ni？o Prediction. Scientific Reports,7(1): 166, doi:10.1038/s41598-017-00244-2.
9.Zhang, K., Mu, M., Wang, Q.*, Yin, B., & Liu, S. 2019: CNOP‐based adaptive observation network designed for improving upstream Kuroshio transport prediction. Journal of Geophysical Research: Oceans, 124, 4350–4364. https://doi.org/10.1029/ 2018JC014490
10.Hu, D. X ., L. Wu*, W. Cai*, A. Gupta, A. Ganachaud, et al. 2015: Pacific western boundary currents and their roles in climate, Nature, 522 (7556): 299？308.
11.Zhang L.*, F. J. Wang, Q. Wang, S. Hu, F. Wang, and D. Hu, 2017: Structure and variability of the North Equatorial Current/Undercurrent from mooring measurements at 130oE in the Western Pacific. Sci. Rep., 7, 46310, https://doi.org/10.1038/srep46310.
12.Zhang L.*, J. Wu, F. Wang, S. Hu, Q. Wang, F. Jia, F. Wang, and D. Hu, 2020: Seasonal and interannual variability of the currents off the New Guinea coast from mooring measurements, J. Geophys. Res., 125, e2020JC016242. https://doi.org/10.1029/2020JC016242.
13.Hu, S.*, D. Hu, C. Guan, N. Xing, J. Li, and J. Feng, 2017. Variability of the western Pacific warm pool structure associated with El Ni？o. Climate Dynamics,49(7-8): 2431-2449.
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