姓名：韩国庆
职称：副教授
学术职衔：硕士生导师
研究方向：海洋中尺度涡，地球流体实验，人工智能海洋学
电子邮箱：hanguoqing@zjou.edu.cn
学术任职：中国海洋学会人工智能海洋学专业委员会委员
学习工作简历:
2009.09 - 2013.06 中国海洋大学,海洋科学,本科
2013.09 - 2016.06 自然资源部第一海洋研究所,物理海洋,硕士
2016.09 - 2020.08 南京信息工程大学,海洋气象学,博士
2017.12 - 2019.01 UniversitéGrenoble Alpes,LaboratoiredesÉcoulementsGéophysiquesetIndustriels(LEGI),访问交流
2020.09 - 2024.12 浙江海洋大学,海洋科学与技术学院,讲师
2025.01 -至今 浙江海洋大学,海洋科学与技术学院,副教授
教学情况:
承担本科生课程《海洋气象学》教学工作。
主持或承担科研项目:
1.国家自然科学基金，青年科学基金，岛屿尾涡的非对称性研究，主持
2.浙江省教育厅，基础科研项目，舟山群岛对周围海域的生态影响，主持
3.中国科学院南海海洋研究所，开放基金，南海民都洛岛诱导的季节性暖池生成机制研究，主持
4.南方海洋科学与工程广东省实验室（珠海），自主立项项目，基于海洋大数据的时空融合机器学习算法的改进及其在海洋动力参数估算和预报中的应用研究，参与
5.国家自然科学基金，面上项目，加拿大海盆次表层涡旋的锋生演化机理及其热输送对海冰的调制，参与
发表论文:
1.Han, G., Zhu, W., Wang, Y., Lin, X.,Xie, J.#, & Liu, Y#. (2025). The Role of Eddy Merging in Maintaining the Quasi-PermanentUlleungEddy. Deep Sea Research Part I: Oceanographic Research Papers, 104542.
2.Lu, X.,Han, G., Lin, Y., Cao, Q., You, Z.,Xue, J., ... & Dong, C#. (2025). Application of Large-Scale Rotating Platforms in the Study of Complex Oceanic Dynamic Processes. Journal of Marine Science and Engineering, 13(6), 1187.
3.Feng, Q., Zhou, J.,Han, G., &Xie, J#. (2025). Variation ofWyrtkiJets Influenced by Indo-Pacific Ocean–Atmosphere Interactions. Journal of Marine Science and Engineering, 13(4), 691.
4.Zha, C., Wang, S., Ying, S., Chen, H.#,Han, G.#(2025). 3D distribution of particulate organic carbon induced by the Great Whirl. Frontiers in Marine Science, 12, 1505781.
5.Dong, C.#,You, Z., Dong, J., Ji, J., Sun, W., Xu, G., Lu, X.,Xie, H., Teng, F., Liu, Y., Xu, A., Wang, Q., Xia, Q., Lin, X., Fu, M., Wang, J., Cao, Y.,Han, G.(2025). Oceanic Mesoscale Eddies.Ocean-Land-Atmosphere Research.
6.陆晓婕，韩国庆，林一帆，董昌明#. (2025).大型实验地球流体力学旋转平台的设计与实现.空气动力学报,2025,43(06):99-110.
7.董昌明#,王子韵,谢华荣,徐广珺,韩国庆, &周书逸等. (2024).人工智能海洋学发展前景.海洋学研究, 42(3), 2-27.
8.Dong, C.#, Lu, X., Liu, Y.,Han, G.,Fu, M., Cao, Q., ... & Yuan, Y. (2024). Rotating tank experiments for the study of geophysical fluid dynamics. Journal of Oceanology and Limnology, 1-14.
9.Liu, C., Lin, X.#, Xu, G.,Han, G., & Liu, Y. (2024). Improved identification and tracking of three-dimensional eddies in the Southern Ocean utilizing 3D-U-Res-Net. Frontiers in Marine Science, 11, 1482804.
10.Meng, J., Liu, Y.#,Han, G., Lin, X., &Xie, J. (2024). Analysis ofLofotenVortex Merging Based on Altimeter Data. Remote Sensing, 16(20).
11.He, Y., Lin, X.#,Han, G., Liu, Y., & Zhang, H. (2024). The different dynamic influences of TyphoonKalmaegion two pre-existing anticyclonic ocean eddies. Ocean Science, 20(2), 621-637.
12.Jiang, J.,Han, G.#, Liu, Y., Lin, X., & He, Y. (2024). Response of internalwaveinducedturbulent dissipation to ENSO in the Western Pacific Warm Pool. Journal of Geophysical Research: Oceans, 129, e2023JC020459.
13.Liu, Y.#, Ye, C., Cen, H., Lin, X., &Han, G. (2024). Variations in the Upper Ocean Heat Content of the Southern Canadian Basin. Journal of Marine Science and Engineering, 12(4), 667.
14.Cen, H.,Han, G.#, Lin, X., Liu, Y., & Zhang, H. (2024). Deep Learning-Based Forecasting Model for Chlorophyll-a Response to Tropical Cyclones in the Western North Pacific. Ocean Modelling, 102345.
15.Fu, M.,Han, G., Lu, X., Sun, W.,Sommeria, J.,Stegner, A., ... & Dong, C#. (2024). Analysis of vortex merging from a rotating tank laboratory experiment. Progress in Oceanography, 103227.
16.Feng, Q.,Han, G.#, Liu, Y., Lin, X., Li, B., Gao, X., ... & Wang, H. (2024). Application of data-driven mixing parameterization scheme in a regional ocean model. Ocean Modelling, 102325.
17.Gao, X.,Han, G., Sun, W., Zhou, S.,Xie, W., Cen, H., ... & Dong, C#. (2024). Application of deep learning in estimating the convective mixing induced by brine rejection. Ocean Modelling, 102314.
18.Liu, Y., Meng, J., Wang, J.,Han, G.#, Lin, X., Chen, J., & Ji, Q. (2023). Analysis of Seasonal and Long-Term Variations in the Surface and Vertical Structures of theLofotenVortex. Remote Sensing, 15(7), 1903.
19.Lin, X.#, Wang, G.,Han, G., Liu, Y., Zhang, H., Liao, X., & Ji, Q. (2023). Cross-Slope Transport by a Mesoscale Anticyclone in the Northern South China Sea. Journal of Marine Science and Engineering, 11(2), 305.
20.Lin, X., Zhao, H., Liu, Y.#,Han, G., Zhang, H., & Liao, X. (2023). Ocean eddies in the DrakePassage: Decoding their three-dimensional structure and evolution. Remote Sensing, 15(9), 2462.
21.Cen, H., Jiang, J.,Han, G., Lin, X.#, Liu, Y., Jia, X., ... & Li, B. (2022). Applying deep learning in the prediction of chlorophyll-a in the East China Sea. Remote Sensing, 14(21), 5461.
22.Han, G., Cen, H., Jiang, J., Gao, X., Jiang, X., Zhou, S., ... & Dong, C#. (2022). Applying machine learning in devising a parsimonious ocean mixing parameterization scheme. Deep Sea Research Part II: Topical Studies in Oceanography, 203, 105163.
23.Jia, X., Ji, Q.#, Han, L., Liu, Y.,Han, G., & Lin, X. (2022). Prediction of sea surface temperature in the East China Sea based on LSTM neural network. Remote Sensing, 14(14), 3300.
24.Dong, C.#, Xu, G.,Han, G., Bethel, B. J.,Xie, W., & Zhou, S. (2022). Recent developments in artificial intelligence in oceanography. Ocean-Land-Atmosphere Research.
25.Han, L., Ji, Q.#, Jia, X., Liu, Y.,Han, G., & Lin, X. (2022). Significant wave height prediction in the South China Sea based on theConvLSTMalgorithm. Journal of Marine Science and Engineering, 10(11), 1683.
26.Liu, Y.#, Wang, J.,Han, G., Lin, X., Yang, G., & Ji, Q. (2022).Spatio-temporal analysis of eastgreenlandpolar front. Frontiers in Marine Science, 9, 943457.
27.Yang, G., Lin, X.#,Han, G., Liu, Y., Chen, G., & Wang, J. (2022). Three-dimensional characteristics of mesoscale eddies simulated by a regional model in the northwestern Pacific Ocean during 2000–2008. ActaOceanologicaSinica, 41(10), 74-93.
28.Han, G., Dong, C.#, Yang, J., & Liu, Y. (2021). Sri Lanka seasonal warm pools. Journal of Oceanology and Limnology, 39(2), 437-446.
29.Han, G., Dong, C.#, Yang, J.,Sommeria, J.,Stegner, A., &Caldeira, R. M. (2021). Strain Evolution and Instability of an Anticyclonic EddyFroma Laboratory Experiment. Frontiers in Marine Science, 8, 645531.
30.Han, G., Dong, C.#, Li, J., Yang, J., Wang, Q., Liu, Y., &Sommeria, J. (2019). SST anomalies in the Mozambique Channel using remote sensing and numerical modeling data. Remote Sensing, 11(9), 1112.
31.Liu, L., Yang, G., Zhao, X., Feng, L.,Han, G., Wu, Y., & Yu, W. (2017). Why was the Indian Ocean dipole weak in the context of the extreme El Niño in2015?.Journal of Climate, 30(12), 4755-4761.
32.Duan, Y., Liu, L.#,Han, G., Liu, H., Yu, W., Yang, G., ... &Waheed, H. (2016). Anomalous behaviors ofWyrtkiJets in the equatorial Indian Ocean during 2013. Scientific Reports, 6(1), 29688.
33.Liu, L., Liu, B.,Han, G., Feng, L., Li, X., & Yu, W. (2016). Assessment of the seasonal variation of simulatedWyrtkijet over the tropical Indian Ocean in CMIP5 models. Arabian Journal of Geosciences, 9, 1-9.
