研究兴趣

海洋中小尺度动力过程及其智能预报

主持项目

崂山实验室,重大任务航次,南海*********观测试验航次,2025,947.74万元,在研,主持
崂山实验室自立科技创新项目,LSKJ202300300,基于国产新一代超算的海洋高分辨率多圈层耦合模拟预测系统研发及应用,2023-12至2026-12,23799.9844万元,在研,主持
国家自然科学基金委员会,杰出青年科学基金项目,42325601,海洋中小尺度动力过程及其气候效应,2024-01-01至2028-12-31,400万元,在研,主持
崂山实验室自立科技创新项目,LSKJ202202500,海洋中小尺度动力过程对气候变化的响应和反馈,2022-10-01至2025-09-01,977.33万元,在研,主持
国家自然科学基金委员会,面上项目,42276006,全球变暖背景下赤道太平洋亚中尺度过程演变机理及其对海温变化的调控作用,2023-01-01至2026-12-31,54万元,在研,主持
国家自然科学基金委员会,重大研究计划集成项目课题,92358303,西太平洋多圈层相互作用数据集成研究,2024-01至2026-12,300万元,在研,主持
国家自然科学基金委员会,优秀青年科学基金项目,41822601,海洋能量串级机理与混合参数化,2019-01-01至2021-12-31,130万元,结题,主持
国家自然科学基金委员会,面上项目,41776006,海洋中尺度涡与近惯性内波之间能量交换的机理及其对深海大洋跨等密度面湍流混合的影响,2018-01-01至2021-12-31,71万元,结题,主持
科技部重点研发计划课题,2018YF******02,透明海洋******系统,2018.12-2021.06,1494万,结题,主持
国家***专项,南海**********调查航次,2019.01-2022.12,1999.88万元,结题,主持

代表性文章

  1. Cui Y. -Z.#, R. -H. Wu#, X. Zhang, Z. -Q. Zhu, B. Liu, J. Shi, J. -S. Chen, H. -L. Liu, S. -H. Zhou, L. Su, Z. Jing*, H. An*, L. -X. Wu*, 2025: Forecasting the eddying ocean with a deep neural network. Nature Communications, 16, 2268. https://doi.org/10.1038/s41467-025-57389-2
  2. Xu F., Z. Jing*, H. Tian, 2025: Ekman pumping induced by geostrophic stress under nonlinear turbulent thermal wind balance. Ocean Dynamics, 75, 39.https://doi.org/10.1007/s10236-025-01685-4
  3. Wang S. -P., Z. Jing*, L. -X. Wu, S. -T. Sun, Z. -H. Chen, X. -H. Ma, B. -L. Gan, 2024: A more quiescent deep ocean under global warming. Nature Climate Change, 14: 961–967. https://doi.org/10.1038/s41558-024-02075-2
  4. Yang Z. -B., Z. Jing*, X. -M. Zhai, C. Vic, H. Sun, C. de Lavergne, and M. Yuan, 2024: Enhanced generation of internal tides under global warming. Nature Communications, 15, 7657.https://doi.org/10.1038/s41467-024-52073-3
  5. Wang Z. -Q., Z. Jing* , F. -F. Song, 2024: Weakened large-scale surface heat flux feedback at midlatitudes under global warming, Nature Communications, 15, 10020.https://doi.org/10.1038/s41467-024-54394-9
  6. Zhang, X., F. -R. Li*, Z. Jing*, B. -H. Zhang, X. -H. Ma, T.-S Du, 2024: Detecting marine heatwaves below the sea surface globally using dynamics-guided statistical learning. Communications Earth & Environment, 5, 616.https://doi.org/10.1038/s43247-024-01769-x
  7. Yang P. -R., Z. Jing*, H. -Y. Yang, and L. -X. Wu, 2024: A Scale-Aware Parameterization of Restratification Effect of Turbulent Thermal Wind Balance, Journal of Physical Oceanography, 54(5):1169–1181. https://doi.org/10.1175/JPO-D-23-0169.1
  8. Sun B. -R., Z. Jing*, M. Yuan, H. -Y. Yang, L. -X. Wu, 2024: Effects of horizontalresolution on long‐range equatorwardradiation of near‐inertial internal waves inocean general circulation models. Journal of Advances in Modeling Earth Systems, 16, e2024MS004216. https://doi.org/10.1029/2024MS004216
  9. Bian C., Z. Jing*, H. Wang and L. -X. Wu, 2024: Scale‐Dependent Drivers of Marine Heatwaves Globally, Geophysical Research Letters, 51(3), e2023GL107306.https://doi.org/10.1029/2023GL107306
  10. Du T. -S.*, Z. Jing, 2024: Fine-Scale Eddies Detected by SWOT in the Kuroshio Extension, Remote Sensing. 16(18), 3488.https://doi.org/10.3390/rs16183488
  11. Sun D.*, Z. Jing and H. -L. Liu, 2024: Deep learning improves sub-seasonal marine heatwave forecast. Environmental Research Letters, 19, 064035.https://doi.org/10.1088/1748-9326/ad4616
  12. Jing Z.#, S. -P. Wang#, L. -X. Wu*, H. Wang, S. -H. Zhou, B. -R. Sun, Z. -H. Chen, X. -H. Ma, B. -L. Gan and H. -Y. Yang, 2023: Geostrophic Flows Control Future Changes of Oceanic Eastern Boundary Upwelling, Nature Climate Change, 13:148-154.https://doi.org/10.1038/s41558-022-01588-y
  13. Bian C., Z. Jing*, H. Wang, L. -X. Wu, Z. -H. Chen, B. -L. Gan and H. -Y. Yang, 2023: Oceanic Mesoscale Eddies as Crucial Drivers of Global Marine Heatwaves, Nature Communications, 14(1), 2970. https://doi.org/10.1038/s41467-023-38811-z
  14. Wang S. -P., Z. Jing*, L. -X. Wu, S. -T. Sun, Q. -H. Peng, H, Wang, Y. Zhang and J. Shi, 2023: Southern Hemisphere Eastern Boundary Upwelling Systems Emerging as Future Marine Heatwave Hotspots under Greenhouse Warming, Nature Communications, 14, 28.https://doi.org/10.1038/s41467-022-35666-8
  15. Li Z. -R., Z. Jing*, L. -X. Wu, R. Johnson, Z. -B. Yang, Z. Song, Z. -H. Chen, B. -L. Gan and X. -H. Ma, 2023: Enhanced Turbulent Diapycnal Mixing in the Northern Sargasso Sea Inferred from a Finescale Parameterization, Journal of Geophysical Research: Oceans, 128(12), e2023JC020220. https://doi.org/10.1029/2023JC020220
  16. Zhang X. -Y., Z. Jing* and P. -R. Yang, 2023: Seasonality of upper-ocean vertical eddy buoyancy flux in the Kuroshio Extension. Journal of Physical Oceanography, 53(6): 1577-1590.https://doi.org/10.1175/JPO-D-22-0173.1
  17. Sun D., Z. Jing*, F. -R. Li, L. -X. Wu, 2023: Characterizing global marine heatwaves under a spatio-temporal framework, Progress in Oceanography, 211, 102947.https://doi.org/10.1016/j.pocean.2022.102947
  18. Yang Z. -B., Z. Jing* and X. -M. Zhai, 2023: Greenhouse Warming Reduces Global Energy Conversion into Oceanic Lee Waves, Geophysical Research Letters, 50, e2023GL104467. https://doi.org/10.1029/2023GL104467
  19. Yang Z. -B., Z. Jing* and X. -M. Zhai*, 2023: Energy Sinks for Lee Waves in the Northern South China Sea, Journal of Geophysical Research: Oceans, 128(1): ec2022JC019060. https://doi.org/10.1029/2022JC019060
  20. Yang Z. -B., Z. Jing* and X. -M. Zhai, 2023: The Role of Small‐Scale Topography in Modulating Eddy Scale in the Northern South China Sea, Journal of Geophysical Research: Oceans, 128(3).https://doi.org/10.1029/2022JC019524
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