日前，由中國科學(xué)院海洋研究所承擔(dān)的國家自然科學(xué)基金委“西太平洋海洋環(huán)流動力過程”創(chuàng)新群體項目在結(jié)題考核中獲得優(yōu)秀。
“西太平洋海洋環(huán)流動力過程”創(chuàng)新研究群體項目2015年立項啟動， 6年多來取得了系列創(chuàng)新研究成果。項目組發(fā)現(xiàn)太平洋北赤道逆流下面存在一支次溫躍層潛流，命名為“北赤道次表層流（NESC）”，是一支橫跨整個北太平洋海盆流動的次溫躍層洋流，具有顯著的季節(jié)-年際尺度變化。在西太平洋次溫躍層環(huán)流動力過程方面取得了0-1的突破成果，首次揭示了大洋次溫躍層環(huán)流（如NESC等）存在的動力機(jī)制，為深入開展大洋中深層環(huán)流研究打下了堅實基礎(chǔ)。此外還發(fā)現(xiàn)了兩支印尼貫穿流的新分支，為太-印交換和全球海洋大輸送帶研究提供了重要的新認(rèn)識。
項目通過連續(xù)層化海洋環(huán)流模式的數(shù)學(xué)建模，考慮了底邊界的約束作用，模擬再現(xiàn)了西太平洋次溫躍層潛流，揭示了赤道外大洋次溫躍層存在的動力機(jī)制是海洋對風(fēng)旋度強(qiáng)迫的低階斜壓模態(tài)響應(yīng)的疊加形成的，克服了經(jīng)典大洋環(huán)流理論存在靜止不動的“陰影區(qū)”的局限。在環(huán)流的暖池和氣候效應(yīng)方面，提出了印度洋偶極子影響太平洋ENSO的“海洋通道”機(jī)制。開展了ENSO實時預(yù)報并向國際發(fā)布。
項目交叉融合緊密，人才培養(yǎng)效果明顯，發(fā)表SCI論文205篇，出版著作5部，培養(yǎng)研究生83人，博士后13人，主辦13次國際學(xué)術(shù)交流會議。
項目代表性論文：
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.
