陈显尧 / CHEN Xianyao

教授,博士生导师

出生年月:1973.10

研究方向:海洋环流与气候变化

个人履历:

  1990-1994,本科,兰州大学数学系;1994-1999,博士研究生,兰州大学力学系;1999-2002, 副研究员,国家海洋局第一海洋研究所,地球流体力学和数值模拟重点实验室;2002-2003,访问学者,丹麦理工大学;2003-2008,研究员,国家海洋局第一海洋研究所,海洋环境和数值模拟重点实验室;2008,访问学者,中国台湾中央大学自适应数据分析方法研究中心;2009-2014,研究员,国家海洋局第一海洋研究所,国家海洋局数据分析与应用重点实验室;2013,访问学者,美国华盛顿大学;2014-至今,教授,博士生导师,中国海洋大学物理海洋教育部重点实验室;2015,访问学者,澳大利亚联邦科工局海洋与大气研究中心;2016, 《Advances in Climate Change Research》编委;2016,《Advances in Data Science and Adaptive Analysis》编委;2019,《中国海洋大学学报 (自然科学版)》常务副主编;2020,《Advances in Atmospheric Sciences》编委;2025,《Deep Sea Research Ⅱ》副主编;2026,《Ocean and Global Change》编委。

研究领域及主要成果:


  主要从事海洋气候变化研究,包括大洋热盐环流、海洋年代际变异机制、海气相互作用、海平面变化、极地海洋快速变化等方面。提出了海洋环流热输送影响全球气候变化的创新学术观点,揭示了海洋热量分配对全球气候年代际时间尺度上变暖速率的重要调控作用。阐明了1983年以来全球海平面加速上升的动力学原因,指出格陵兰冰盖融化是导致全球海平面年代际加速上升的关键物理过程。在Nature、Science、Nature Climate Change、Science Advances、Journal of Climate、 Geophysical Research Letters等杂志发表论文90余篇,主持包括国家自然科学基金重大项目、科技部国家重点研发计划项目、军科委基础加强计划重点项目、山东省自然科学基金重大基础研究项目等十余项。

学术称号与荣誉奖励:

2014,“全球变暖减缓的特征与机制”研究成果入选教育部中国高校十大科技进展、中国十大海洋科技进展;

2015,荣获“青岛市劳动模范”;

2016,入选为创新人才推进计划中青年科技创新领军人才;

2017,“从海气系统角度揭示海洋在全球变暖背景下的响应特征”研究成果入选中国十大海洋科技进展;

2017,山东省“泰山学者”特聘专家;

2018,“北大西洋经向翻转环流减弱导致全球表面增暖加强”研究成果入选中国十大海洋科技进展;

2018,获得国家自然科学奖二等奖(4/5);

2018,入选国家第三批“万人计划”科技创新领军人才;

2018,获得国家杰出青年基金;

2021,获评“山东省教育系统优秀共产党员”;

2023,获评第十一届“山东省优秀科技工作者”;

2024,入选山东省“泰山学者”攀登专家;

2024,荣获“山东省五一劳动奖”;

2025,获评“齐鲁最美科技工作者”;

2026,获评“山东省优秀共产党员”。

主持项目

1、国家自然科学基金重大项目:海平面上升的多圈层作用机制与预估。(起止时间:2024.01-2028.12)

2、军科委基础加强计划重点项目:北极XXXXXXX。(起止时间:2023.06-2027.06)

3、科技部国家重点研发计划项目:北极快速变化的机理、影响及其气候效应研究。(起止时间:2019.11-2024.10)

4、国家杰出青年科学基金项目:海洋年代际变异机制及其在全球气候变化中的作用。(起止时间:2019.01-2023.12)

5、崂山国家实验室科技创新项目:北极海冰甚高分辨率预测预报系统。(起止时间:2022.10-2025.09)

代表性成果

第一/通讯作者文章: 

45. HAO X. -J., X. -Y. Chen*, T. Spiegl, J. Streffing, L. Niu, G. Lohmann, 2026: Fture Global Warming Constrained by Observed AMOC Strength. Geophysical Research Letters, 53(14), e2025GL118802, https://doi.org/10.1029/2025GL118802.

44. MU L.-J., Y. Liu, Y. -H. Chen, H. Wang, X. -Y. Chen*, R. -Z. Song, L. Zheng, J. -T. Chen, L. Nerger, L. -X. Wu*, 2026: Arctic High Resolution Sea-Ice Forecast System on a Heterogeneous Many-Core Computing Platform. Journal of Advances in Modeling Earth Systems, 18(3), e2025MS005457, https://doi.org/10.1029/2025MS005457.

43. SONG S. -T., X. -Y. Chen*, 2026: Distinct Trends of Arctic Sea Fog Frequency Depend on Sea Ice Concentration: Observations and Model Simulations. JGR Atmospheres, 131(6), e2025JD045051, https://doi.org/10.1029/2025JD045051.

42. CHEN Y., Y. Liang, X. -Y. Chen*, H.-B. Bi, 2025: Arctic Cyclone Activity Changes under a Warming Climate. NPJ Climate and Atmospheric Science, 9(1), https://doi.org/10.1038/s41612-025-01296-2.

41. CAI D., X. -Y. Chen*, 2025:Subpolar North Atlantic Ocean Heat Content Drives 21st-century Arctic Multi-decadal Variability in CESM1 LE. Scientific Reports, 16, 3545, https://doi.org/10.1038/s41598-025-33631-1.

40. SONG R. -Z., X. -Y. Chen*, H. -W. Bi, X. -Y. Wang, and L. -J. Mu, 2025: Deep Arctic Ocean Warming Enhanced by Heat Transferred from Deep Atlantic. Science Advances,11(47), https://www.science.org/doi/10.1126/sciadv.adx9452.

39. LIANG Y., Lei R. -B., Bi H. -W., and X. -Y. Chen*, 2025: Response of Changes in Sea Ice Thickness to Cyclones: New Insights from the MOSAiC Expedition. Journal of Climate, 38(22): 6709-6726, https://doi.org/10.1175/JCLI-D-24-0765.

38. LIANG Y., H. -B. Bi, X. -Y. Chen*, Y. Chen, and X. -Y. Wang, 2025: The Pacific Arctic Region Has Become a Sink for Multiyear Sea Ice Coverage. Geophysical Research Letters, 52, e2025GL117093, https://doi.org/10.1029/2025GL117093.

37. CHEN Y., X. -Y. Chen*, Y. Jin, Y. Zhao, J. Dong, Y. Gan, and H. Bi, 2025: The Hidden Predictor of Multi-Year ENSO Predictions Revealed by Deep Learning. Journal of Geophysical Research: Oceans, 130(7), e2025JC022394, https://doi.org/10.1029/2025JC022394.

36. WANG X. -Y., L. -J. Mu, and X. -Y. Chen*, 2025: Observed Bottom Warming in the East Siberian Sea Driven by the Intensified Vertical Mixing. Ocean Science, 21: 577-586, https://doi.org/10.5194/os-21-577-2025.

35. SONG S., and X. -Y. Chen*, 2024: Observed Climatology and Formation Mechanisms of Sea Fog Along the Trans‐Arctic Shipping Routes. Journal of Geophysical Research: Atmospheres, 129, e2024JD042383, https://doi.org/10.1029/ 2024JD042383.

34. CHEN X. -Y., and K. -K. Tung*, 2024: Evidence Lacking for a Pending Collapse of the Atlantic Meridional Overturning Circulation. Nature Climate Change, 14: 40-42, https://doi.org/10.1038/s41558-023-01877-0.

33. WANG J. -P., and X. -Y. Chen*, 2023: Arctic Sea Level Variability from Oceanic Reanalysis and Observations. Advances in Atmospheric Sciences, 40: 2362-2377, https://doi.org/10.1007/s00376-023-3004-y.

32. SONG S. -T., Y. Chen, X. -Y. Chen*, C. -S. Chen, K. -F. Li, K. -K. Tung, Q. -L. Shao, Y. -L. Liu, X. -Y. Wang, L. Yi, and J. -P. Zhao, 2023: Adapting to a Foggy Future Along Trans-Arctic Shipping Routes. Geophysical Research Letters, 50, e2022GL102395, https://doi.org/10.1029/2022GL102395.

31. BI H. -B., Y. Liang, and X. -Y. Chen*, 2023: Distinct Role of a Spring Atmospheric Circulation Mode in the Arctic Sea Ice Decline in Summer. Journal of Geophysical Research: Atmospheres, 128(6), e2022JD037477, https://doi.org/10.1029/ 2022JD037477.

30. CHEN X. -Y. and K. -K. Tung*, 2021: Comments on “On the Relationship between Atlantic Meridional Overturning Circulation Slowdown and Global Surface Warming”. Environmental Research Letter, 16, 038001, https://doi.org/10.1088/1748-9326/abc775.

29. CHEN X. -Y. and T. -J. Zhang, 2021: Dynamics, Impacts, and Future Projections of Arctic Rapid Change. Advances in Climate Change Research, 12(4): 445-446, https://doi.org/10.1016/j.accre.2021.08.007.

28. TUNG K. -K., X. -Y. Chen*, J. -S. Zhou, and K. -F. Li, 2019: Interdecadal Variability in Pan-Pacific and Global SST, Revisited. Climate Dynamics, 52: 2145-2157, https://doi.org/10.1007/s00382-018-4240-1.

27. RUAN R., X. -Y. Chen*, J. Zhao, W. Perrie, R. Mottram, M. Zhang, Y. -N. Diao, L. Du, and L. -X. Wu, 2019: Decelerated Greenland Ice Sheet melt driven by positive summer North Atlantic Oscillation. Journal of Geophysical Research: Atmospheres, 124(14): 7633–7646, https://doi.org/ 10.1029/2019JD030689.

26. WANG J. -P., and X. -Y. Chen*, 2018: Intercomparison of the Extended Reconstructed Sea Surface Temperature v4 and v3b Datasets. Journal of Ocean University of China, 17: 209-218, https://doi.org/10.1007/s11802-018-3347-7.

25. CHEN X. -Y., and K. -K. Tung, 2018: Global Surface Warming Enhanced by Weak Atlantic Overturning Circulation. Nature, 559: 387-391, https://doi.org/10.1038/s41586-018-0320-y.

24. CHEN X. -Y., and K. -K. Tung, 2018: Global-mean Surface Temperature Variability: Space-time Perspective from Rotated EOFs. Climate Dynamics, 51: 1719-1732, https://doi.org/10.1007/s00382-017-3979-0.

23. CHEN X. -Y.*, X. -B. Zhang*, J. -A. Church, C. -S. Watson, M. -A. King, D. Monselesan, B. Legresy, and C. Harig, 2017: The Increasing Rate of Global Mean Sea-Level Rise during 1993-2014. Nature Climate Change, 7: 492-495, https://doi.org/10.1038/nclimate3325.

22. CHEN X. -Y., J. -M. Wallace, and K. -K. Tung, 2017: Pairwise-Rotated EOFs of Global SST. Journal of Climate, 30(14): 5473-5489, https://doi.org/10.1175/JCLI-D-16-0786.1.

21. CHEN X. -Y.*, and K. -K. Tung, 2016: Correspondence: Variations in Ocean Heat Uptake during the Surface Warming Hiatus. Nature Communications, 7, 12541, https://doi.org/10.1038/ncomms12541.

20. CHEN X. -Y., and J. -M. Wallace, 2016: Orthogonal PDO and ENSO Indices. Journal of Climate, 29(10): 3883-3892, https://doi.org/10.1175/JCLI-D-15-0684.1.

19. CHEN X. -Y., and J. -M. Wallace, 2015: ENSO-Like Variability: 1900-2013. Journal of Climate, 28(24): 9623-9641, https://doi.org/10.1175/JCLI-D-15-0322.1.

18. CHEN X. -Y., and K. -K. Tung, 2014: Varying Planetary Heat Sink Led to Global-Warming Slowdown and Acceleration. Science, 345, 897-903, https://doi:10.1126/science.1254937.

17. CHEN X. -Y.*, Y. Feng, and N. -E. Huang, 2014: Global Sea Level Trend during 1993-2012. Global and Planetary Chang, 112: 26-32, https://doi.org/10.1016/j.gloplacha.2013.11.001.

16.HE J. -J., M. Zhang, X. -Y. Chen*, and M. Wang, 2014: Inter-Comparison of Seasonal Variability and Nonlinear Trend between AERONET Aerosol Optical Depth and PM10 Mass Concentrations in Hong Kong. Science China Earth Sciences, 57: 2606-2615, https://doi.org/10.1007/s11430-014-4874-8.

15. CHEN X. -Y., M. Wang, Y. -L. Zhang, Y. Feng, Z. Wu, and N. -E. Huang, 2013: Detecting Signals from Data with Noise: Theory and Applications. Journal of the Atmospheric Sciences, 70: 1489-1504, https://doi.org/10.1175/JAS-D-12-0213.1.

14. ZHANG M., J. -M. Chen*, X. -Y. Chen*, T. -T. Cheng, Y. -L. Zhang, H. -F. Zhang, A. -J. Ding, M. Wang, and A. Mellouki, 2013: Urban Aerosol Characteristics during the World Expo 2010 in Shanghai. Aerosol and Air Quality Research, 13: 36-48, https://doi.org/10.4209/aaqr.2012.02.0024.  

13. CHEN X. -Y.*, Y. -L. Zhang, M. Zhang, Y. Feng, Z. -H. Wu, F. -L. Qiao, and N. -E. Huang, 2013: Intercomparison between Observed and Simulated Variability in Global Ocean Heat Content using Empirical Mode Decomposition, Part I: Modulated Annual Cycle. Climate Dynamics, 41: 2797-2815, https://doi.org/10.1007/s00382-012-1554-2.

12. SHAO Q. -L., X. -Y. Chen*, and R. Huang, 2012: Effects of Drake Passage on Ocean Circulation: A Box Model Study. Science China Earth Sciences, 56: 1588-1598, https://doi.org/10.1007/s11430-012-4571-4.

11. GUO J. -S., X. -Y. Chen*, J. Sprintall, B. -H. Guo, F. -L. Qiao, and Y. -L. Yuan, 2011: Surface Inflow into the South China Sea through the Luzon Strait in Winter. Chinese Journal of Oceanology and Limnology, 30: 163-168, https://doi.org/10.1007/s00343-012-1056-4.

10. CHEN X. -Y.*, Z. -H. Wu, and N. -E. Huang, 2010: The Time-Dependent Intrinsic Correlation Based on the Empirical Mode Decomposition. Advances in Adaptive Data Analysis, 2: 233-265, https://doi.org/10.1142/S1793536910000471.

9. CHEN X. -Y.*, F. -L. Qiao, Q. Wang, X. -H. Wang, and Y. -L. Yuan, 2008: Barrier and Compensation Layers in the East China Sea. Acta Oceanologica Sinica, 27, 70-78.

8. CHEN X. -Y., F. -L. Qiao, R. -F. Ge, C. -S. Xia, and Y. -L. Yuan, 2006: Development of Subsurface Warm Water in the East China Sea in Fall. Journal of Geophysical Research: Oceans, 111, C11, https://doi.org/10.1029/2005JC003163.

7. CHEN X. -Y.*, X. -H. Wang, and J. -S. Guo, 2005: Seasonal Variability of the Sea Surface Salinity in the East China Sea during 1990  2002. Journal of Geophysical Research: Oceans, 111, C5, https://doi.org/10.1029/2005JC003078.

6. CHEN X. -Y.*, X. Wang, X. -H. Wang, and F. -L. Qiao, 2004: Study of Non-Boussinesq Effect on Sea Surface Height. Journal of Hydrodynamics, 16: 518-524.

5. CHEN X. -Y.*, F. -L. Qiao, X. -H. Wang, W. Zhao, and Y. -L. Yuan, 2004: On the Study on Boussinesq and Hydrostatic Approximation in Ocean Circulation Model. Advances in Marine Science, 22: 91 - 96.

4. 陈显尧*毕瀚文, 郝潇洁, 马天骄,郭凌瑞, 2025:大西洋经向翻转环流及其对全球气候的影响. [J.]气候变化研究进展, 21 (4): 469-476, https://doi.org/ 10.12006/j.issn.1673-1719.2025.001.

3. 陈显尧,蔡娣,毕瀚文,陈玥,王英洁,王雅文,郑欢,廖秋红,王子卓2024影响北极气候快速变化的关键物理机制. [J.]中国海洋大学学报(自然科学版),54(10): 76-82https://doi.org/10.16441/j.cnki.hdxb.20240301. 

2. 李心月,陈显尧*2021影响全球平均表面温度的主要过程. [J.]科学通报,66(31): 4017-4027, https://engine.scichina.com/doi/10.1360/TB-2021-0020.

1. 陈昌硕,陈显尧*2021在PAFOG一维模式中引入温湿平流项对北极雾的个例研究.[J.]中国海洋大学学报(自然科学版), 51: 1-9https://doi.org/10.16441/j.cnki.hdxb.20210077.


合作作者文章

49. CAI D., G. Lohmann, X. -Y. Chen, M. Lonita*, 2026: Compound Hot-Dry Extremes Amplify Disproportionate Climate Risks for Low-Income Nations. Geophysical Research Letters, 53(7), e2025GL118822, https://doi.org/10.1029/2025GL118822.

48. WU L. -X.*, X. -Y. Chen, Z. -H. Chen, Z. Jing, X. -H. Ma, B. -L. Gan, C. Zhou, Z. -W. Zhang, L. -J. Mu, D. -H. Song, W. -L. Zhong, D. Qi, J. -P. Liu, Z. -Y. Liu, Z. -Y. Song, H. -J. Yang, 2026: Ten Priorities for Physical Oceanography. Chinese Science Bulletin, 71(11): 2340-2349, https://doi.org/10.1360/CSB-2025-5662.

47. WANG Z. -M., B. -Y. Wu, W. Zhou, J. -P. Liu, A. -M. Duan, X. -Y. Chen, R. -B. Lei, M. -H. Ding, X. -C. Li, and W. -J. Cai, 2025: Preface to the Special Issue on Atmospheric and Oceanic Processes in the Antarctic and their Climate Effects: 40 Years of CHINARE. Advances in Atmospheric Sciences, 42(12): 2395−2398, https://doi.org/10.1007/s00376-025-5017-1.

46. CHEN Y. -P., Y. -S. Jin*, Z. -Y. Liu*, X. -C. Shen, X. -Y. Chen, X. -P. Lin, R. -H. Zhang, J. -J. Luo, W. -J. Zhang, W. -S. Duan, F. Zheng, M. -J. McPhaden, and L. Zhou, 2025: Combined Dynamical-Deep Learning ENSO Forecasts. Nature Communications, 16, 3845, https://doi.org/10.1038/s41467-025-59173-8.

45. WU Y., Z. -J. Zheng, X. -Y. Chen, W. Zhong, X. Yuan, W. Zhong, R. Lei, C. Li, Y. Zhuang, X. Gao, X. Li, H. Lin, L. Chen, W. -J. Cai*, and D. Qi*, 2025: Amplified Warming Accelerates Deoxygenation in the Arctic Ocean. Nature Climate Change, 15: 859-865, https://doi.org/10.1038/s41558-025-02376-0.

44. WANG J. -P.*, X. Zhang, J. Church, M. King, and X. -Y. Chen, 2025: Near‐Term Future Sea‐Level Projections Supported by Extrapolation of Tide‐Gauge Observations. Geophysical Research Letters, 52, 10, e2024GL112940, https://doi.org/10.1029/2024GL112940.

43. HE J. -J., S. -L. Yin, X. -Y. Chen, B. Yin, and X. -Q. Huang*, 2025: Enhanced Prediction of Sea Surface Temperature Using Empirical Mode Decomposition-Gated Recurrent Unit. Journal of Atmospheric and Oceanic Technology, 42(5): 437-448, https://doi.org/10.1175/JTECH-D-24-0063.1.

42. CHEN Y. -G.*, P. -Y. Song, X. -Y. Chen, and G. Lohmann, 2025: Mechanisms Driving the Extensive Antarctic Bottom Water in the Glacial Atlantic. Geophysical Research Letters, 52, e2025GL114809, https://doi.org/10.1029/2025GL114809.

41. HAO X. -J.*, D. Sein, T. Spiegl, L. Niu, X. -Y. Chen, and G. Lohmann, 2025: Modelling the Atlantic Multidecadal Oscillation: the High-Resolution Ocean Brings the Timescale; the Atmosphere, the Amplitude. Ocean-Land-Atmosphere Research, 4, https://spj.science.org/doi/10.34133/olar.0085.

40. HE J. -J., S. -L. Yin, X. -Y. Chen, B. Yin, and X. -Q. Huang*, 2025: An Informer-based Prediction Model for Extensive Spatiotemporal Prediction of Sea Surface Temperature and Marine Heatwave in Boh. Journal of Marine Systems, 247, https://doi.org/10.1016/j.jmarsys.2024.104037.

39. WANG J. -P.*, J. -A. Church, X. -B. Zhang, and X. -Y. Chen, 2024: Improved Sea-Level Reconstruction from 1900 to 2019. Journal of Climate, 37: 6453-6474, https://doi.org/10.1175/JCLI-D-23-0410.1.

38. SONG R. -Z., L. -J. Mu*, S. -N. Loza, F. Kauker, and X. -Y. Chen, 2024: Assimilating Summer Sea-Ice Thickness Observations Improves Arctic Sea-Ice Forecast. Geophysical Research Letters, 51, 13, e2024GL110405, https://doi.org/ 10.1029/2024GL110405.

37. LIU Y. -L., J. -P. Zhao*, P. Chen, X. -Y. Chen, L. Y., X. -Y. Wang, and T. Li, 2024: Calculation Algorithm for Spectral Irradiance Using Broad-Band Optical Filter Data. Intelligent Marine Technology and Systems, 2: 1-14, https://doi.org/10.1007/s44295-024-00044-1.

36. CHEN Y. -G.*, P. -Y. Song, X. -Y. Chen, and G. Lohmann, 2024: Glacial AMOC Shoaling Despite Vigorous Tidal Dissipation: Vertical Stratification Matters. Climate of the Past, 20: 2001-2015, https://doi.org/10.5194/cp-20-2001-2024.

35. CHEN J. -T., L. -J. Mu*, X. -Y. Jia, and X. -Y. Chen, 2024: The Detection of Arctic Sea Ice Linear Kinematic Features Using LadderNet. Ocean Modelling, 190, 102400, https://doi.org/10.1016/j.ocemod.2024.102400.

34. CHEN H., Y. -S. Jin*, Z. -Y. Liu*, D. -X. Sun*, X. -Y. Chen, M. -J. McPhaden, A. Capotondi, and X. -P. Lin, 2024: Central-Pacific El Niño-Southern Oscillation Less Predictable under Greenhouse Warming. Nature Communications, 15, https://doi.org/10.1038/s41467-024-48804-1.

33. CAI D.*, G. Lohmann, X. -Y. Chen, and M. Ionita, 2024: The Linkage Between Autumn Barents-Kara Sea Ice and European Cold Winter Extremes. Frontiers in Climate, 6, 1345763, https://doi.org/10.5194/egusphere-egu24-2940.

32. BI H. -W., Q. -Y. Liu*, and X. -Y. Chen, 2024: Summer Surface Warming Driven by the Strong El Niño in the South China Sea. Climate Dynamics, 62: 1407-1422, https://doi.org/10.1007/s00382-023-06974-6.

31. ZHANG X. -D., X. -Y. Chen, A. Orr, J. -E. Overland, T. Vihma, M. -Y. Wang, Q. -H. Yang, and R. -H. Zhang, 2023: Preface to the Special Issue on Changing Arctic Climate and Low/Mid-latitudes Connections. Advances in Atmospheric Sciences, 40: 2135-2137, https://doi.org/10.1007/s00376-023-3015-8.

30. YI L., K. -F. Li*, X. -Y. Chen, and K. -K. Tung, 2023: Summer Marine Fog Distribution in the Chukchi–Beaufort Seas. Earth and Space Science, 10, e2021EA002049, https://doi.org/10.1029/2021EA002049.

29. PANG Y., Y. -S. Jin*, Y. -Y. Zhao*, X. -Y. Chen, X. Li, T. Liu, and J. Hu, 2023: Sea Surface Salinity Strongly Weakens ENSO Spring Predictability Barrier. Geophysical Research Letters, 50, e2023GL106673, https://doi.org/10.1029/2023GL106673.

28. LUO R., Q. -H. Ding, I. Baxter, X. -Y. Chen, Z. -W. Wu, M. Bushuk, and H. -L. Wang, 2023: Uncertain Role of Clouds in Shaping Summertime Atmosphere-Sea Ice Connections in Reanalyses and CMIP6 Models. Climate Dynamics, 61: 1973–1994, https://doi.org/10.1007/s00382-023-06785-9.

27. LI X. -C.*, X. -Y. Chen, B. -Y. Wu, X. Cheng, M. -H. Ding, R. -B. Lei, D. Qi, Q. -Z. Sun, X. -Y. Wang, W. -L. Zhong, L. Zheng, M. -J. Xin, X. -C. Shen, C. -T. Song, and Y. -R. Hou, 2023: China’s Recent Progresses in Polar Climate Change and its Interactions with the Global Climate System. Advances in Atmospheric Sciences, 40: 1401-1428, https://doi.org/10.1007/s00376-023-2323-3.

26. XU B. -C., S. -Z. Li, W. -C. Burnette, S. -B. Zhao, I. -R. Santosf, E. Liang, X. -Y. Chen, and Z. -G. Yu, 2022: Radium-226 in the Global Ocean as a Tracer of Thermohaline Circulation: Synthesizing Half a Century of Observations. Earth-Science Reviews, 226, 103956, https://doi.org/10.1016/j.earscirev.2022.103956.

25. SONG S., X. -M. Shi, S. -P. Zhang, X. -Y. Chen, Y. -C. Xue, W. Zhao, C. Yang, B. Huang, and L. Yi, 2022: Springtime Sea Fog Penetration in Qingdao: Anomalous Moistening and Diurnal Cooling. Frontiers in Earth Science, 10: 2296-6463, https://doi.org/10.3389/feart.2022.956836.

24. WANG X. -Y., J. -P. Zhao, V. -B. Lobanov, D. Kaplunenko, Y. -N. Rudykh, Y. He, and X. -Y. Chen, 2021: Distribution and Transport of Water Masses in the East Siberian Sea and their Impacts on the Arctic Halocline. Journal of Geophysical Research: Oceans, 126, e2020JC016523. https://doi.org/10.1029/2020JC016523.

23. WANG J., J. -A. Church*, X. Zhang*, J. -M. Gregory, L. Zanna, and X. -Y. Chen, 2021: Evaluation of the Local Sea-Level Budget at Tide Gauges since 1958. Geophysical Research Letters, 48(20), e2021GL094502, https://doi.org/10.1029/2021GL094502.

22. WANG J. -P., J. -A. Church*, X. -B. Zhang*, and X. -Y. Chen, 2021: Reconciling Global Mean and Regional Sea Level Change in Projections and Observations. Nature Communications, 12, 990, https://doi.org/10.1038/s41457-021021265-6.

21. LI X. -C., W. -J. Cai, …, X. -Y. Chen, …, and C. -T. Song, 2021: Tropical Teleconnection Impacts on Antarctic Climate Changes. Nature Reviews Earth & Environment, 2: 680–698, https://doi.org/10.1038/s43017-021-00204-5.

20. CHEN C. -S., M. -H. Zhang, W. Perrie, R. Chang, I. Gultepe, H. -J. -S. Fernando, and X. -Y. Chen, 2021: A Cast Study: Evaluation of PAFOG One-D Model with Advection in Simulations of Fog/Stratus from C-FOG Experiment. Journal of Geophysical Research: Atmospheres, 126, e2021JD034812, https://doi.org/10.1029/ 2021JD34812.

19. WANG S. -K, L. Yi*, S. -P. Zhang, X. -M. Shi, and X. -Y. Chen, 2020: The Microphysical Properties of a Sea-Fog Event along the West Coast of the Yellow Sea in Spring. Atmosphere, 11(4): 413, https://doi.org/10.3390/atmos11040413.

18. SAMRAT N. -H., A. -K. Matt, C. Watson, A. Hooper, X. -Y. Chen, V. -R. Barletta, and A. Bordoni, 2020: Reduced Ice Mass Loss and Three-Dimensional Viscoelastic Deformation in Northern Antarctic Peninsula Inferred from GPS. Geophysical Journal International, 222(2): 1013-1022, https://doi.org/10.1093/gji/ggaa229.

17. FENG Y., X. -Y. Chen, and K. -K. Tung*, 2020: ENSO Diversity and the Recent Apperance of Central Pacific ENSO. Climate Dynamics, 54: 413-433, https://doi.org/10.1007/s00382-019-05005-7.

16. CHEN C., M. Zhang, W. Perrie*, R. Chang, X. -Y. Chen, M. Wheeler, and P. Duplessis, 2020: Boundary Layer Parameterizations to Simulate Fog over Atlantic Canada Waters. Earth and Space Science, 7, e2019EA000703, https://doi.org/10.1029/2019EA000703.

15. YI L., K. -F. Li*, X. -Y. Chen, and K. -K. Tung, 2019: Arctic Fog Detection Using Infrared Spectral Measurements. Journal of Atmospheric and Oceanic Technology, 36(8): 1643-1656, https://doi.org/10.1175/JTECH-D-18-0100.1.

14. TUNG K. -K.*, and X. -Y. Chen, 2018: Understanding the Recent Global Surface Warming Slowdown: A Review. Climate, 6(4):82, https://doi.org/10.3390/cli6040082.

13. FENG Y.*, X. -Y. Chen, Q. Wang, and Y. Yuan, 2015: Mesoscale Characteristics of Antarctic Intermediate Water in the South Pacific. Acta Oceanologica Sinica, 34: 92-101, https://doi.org/10.1007/s13131-015-0752-2.

12. YIN X. -Q.*, F. -L. Qiao, Y. -Z. Yang, C. -S. Xia, and X. -Y. Chen, 2012: Argo Data Assimilation in Ocean General Circulation Model of Northwest Pacific Ocean. Ocean Dynamics, 62: 1059-1071, https://doi.org/10.1007/s10236-012-0549-1.

11. WU Z.*, N. -E. Huang, J. -M. Wallace, B. Smoliak, and X. -Y. Chen, 2011: On the Time-Varying Trend in Global-Mean Surface Temperature. Climate Dynamics, 37: 759–773, https://doi.org/10.1007/s00382-011-1128-8.

10. HUANG N. -E.*, X. -Y. Chen, M. Lo, and Z. Wu, 2011: On Hilbert Spectral Representation: A True Time-Frequency Representation for Nonlinear and Nonstationary Data. Advances in Adaptive Data Analysis, 3(1):63-93, https://doi.org/10.1142/S1793536911000659.

9. WU Z.*, N. -E. Huang, and X. -Y. Chen, 2011: Some Considerations on Physical Analysis Data. Advances in Adaptive Data Analysis, 3: 95-113, https://doi.org/10.1142/S1793536911000660.

8. WANG G.*, X. -Y. Chen, F. -L. Qiao, Z. -H. Wu, and N. -E. Huang, 2010: On Intrinsic Mode Function. Advances in Adaptive Data Analysis, 2: 277-293, https://doi.org/10.1142/S1793536910000549.

7. Wu, Z. -H.*, N. -E. Huang, and X. -Y. Chen, 2009: The Multi-Dimensional Ensemble Empirical Mode Decomposition Method. Advances in Adaptive Data Analysis, 1: 339-372, https://doi.org/10.1142/S1793536909000187.

6. QIAO F. -L.*, Y. -Z. Yang, X. -G. Lv, C. -S. Xia, X. -Y. Chen, and Y. -L. Yuan, 2006: Coastal Upwelling in the East China Sea in Winter. Journal of Geophysical Research: Oceans, 111, C11, https://doi.org/10.1029/2005JC003264.

5. LIU N.*, H. -X. Chen, X. -Y. Chen, Z. -D. Pan, and Y. Tao, 2005: A Dynamic View of the Tropospheric Teleconnection between IOD and the Pacific Ocean. Chinese Science Bulletin, 50: 2249-2253, https://doi.org/10.1360/982004-739.

4. 赵进平,陈萍刘一林,陈显尧,门雅彬,徐俊臣,高琳, 2024:投弃式雾能见度剖面仪的设计原理与应用. [J.]中国海洋大学学报(自然科学版),54(10): 167-178,https://doi.org/10.16441/j.cnki.hdxb.20240293.

3. 吴立新,荆钊,陈显尧,李才文,张国良,王师,董波,庄光超2022我国海洋科学发展现状与未来展望. [J.]地学前沿, 29, https://doi.org/10.13745/j.esf.sf. 2022.4.60.

2. 李心月 & 陈显尧2022不同辐射强迫下大西洋经向翻转环流对海洋的影响.[J.]中国海洋大学学报(自然科学版), 52(05): 1-8 https://doi.org/10.16441/j.cnki.hdxb.20210095.

1. 宋姝彤, 衣立, 张苏平, 王晓宇, 刘一林, 陈显尧, 2019: Polar WRF模式海冰密集度方案对北极海雾模拟效果的个例研究. [J.]海洋气象学报, 39(2) : 34-42https://doi.org/10.19513/j.cnki.issn2096-3599.2019.02.004.

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