姓 名：林夏艳
职 称：副教授
职 务：海洋科学与技术学院教师与教学发展中心主任
学术职衔：硕士生导师
研究兴趣：海洋中尺度涡旋、台风-涡旋相互作用、涡旋-渔业生态系统相互作用、人工智能叶绿素预报以及三维涡旋智能识别追踪
主讲课程：物理海洋学、海洋要素分析方法、大洋环流、Matlab语言、物理海洋学专题、海洋数据分析综合实验
电子邮箱：linxiayan@zjou.edu.cn
教育经历：
2013/9 - 2017/12，浙江大学（海洋二所联合培养），港口、海岸及近海工程，博士
2009/9 - 2012/7，中国科学院南海海洋研究所，物理海洋学，硕士
2005/9 - 2009/7，浙江海洋大学，海洋技术，学士
工作经历：
2018/12 – 至今，浙江海洋大学，海洋科学与技术学院，讲师、副教授
2012/8 – 2013/8,自然资源部第二海洋研究所，研究助理
主要教学科研项目：
1.国家自然科学基金青年科学基金项目，南海中尺度涡旋物质输运机制(主持，结题）
2.浙江省教育厅项目，海洋中尺度涡旋对东海渔业资源的影响（主持，结题）
3.自然资源部第二海洋研究所项目，西边界附近的涡旋探测识别（主持，结题）
4.中国科学院南海海洋研究所项目，南海北部海域环流涡旋场模式构建及分析(主持，在研）
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(骨干，在研）
6.南方海洋科学与工程广东省实验室（珠海）项目，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(骨干，在研）
7.浙江省教育厅，浙江省省级线下一流课程建设《海洋要素分析方法》（主持，结题）
发表论文：
1.Liu, C.,Lin, X.*,Xu, G., Han, G. and 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. doi: 10.3389/fmars.2024.1482804
2.Meng, J.,Liu, Y.,Han, G.,Lin, X.,Xie,J.(2024)Analysis of the Lofoten VortexMerging based on Altimeter Data. Remote Sensing. 16, 3796.https://doi.org/10.3390/rs16203796
3.Xu, G., Xie, W.,Lin, X.,Liu, Y., Hang, R., Sun, W., ... & Dong, C. (2024). Detection of Three-dimensional Structures of Oceanic Eddies Using Artificial Intelligence.Ocean Modelling, 102385.
4.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.
5.He, Y.,Lin, X.*,Han, G., Liu, Y., & Zhang, H. (2024). The different dynamic influences of Typhoon Kalmaegi on two pre-existing anticyclonic ocean eddies. Ocean Science, 20(2), 621-637.
6.Jiang, J.,Han, G., Liu, Y.,Lin, X.,& He, Y. (2024). Response of internal waveinduced turbulent dissipation to ENSO in the Western Pacific Warm Pool. Journal of Geophysical Research: Oceans, 129, e2023JC020459.
7.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.
8.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.
9.Zhang, Y., Zhang, H., Tang, X., Yang, S., Wang, Y.,Lin, X., ... & Chen, D. (2024). Oceanic response to tropical cyclone in the northern South China Sea observed by underwater gliders during 2018 and 2020. Deep Sea Research Part I: Oceanographic Research Papers, 213, 104387.
10.Ji, Q., Jia, X., Jiang, L., Xie, M., Meng, Z., Wang, Y., &Lin, X.(2024). Contribution of Atmospheric Factors in Predicting Sea Surface Temperature in the East China Sea Using the Random Forest and SA-ConvLSTM Model. Atmosphere, 15(6), 670.
11.徐广珺,施宇诚,余洋,谢华荣,谢文鸿,刘婧媛,林夏艳,刘宇,董昌明.海洋涡旋智能检测研究进展[J].海洋学研究,2024,42(3):38-50.DOI:10.3969/j.issn.1001 -909X.2024.03.003.
12.Lin, X.*,Wang, G.,Han, G.,Liu, Y.,Zhang, H.,Liao, X.,Ji, Q. Cross-Slope Transport by a Mesoscale Anticyclone in the Northern South China Sea. Journal of Marine Science and Engineering. 2023; 11(2):305. https://doi.org/10.3390/jmse11020305
13.Lin, X.,Zhao, H.,Liu, Y.,Han, G.,Zhang, H.,Liao, X.(2023)Ocean Eddies in the Drake Passage: Decoding Their Three-Dimensional Structure and Evolution. Remote Sens. 15, 2462. https://doi.org/10.3390/rs15092462
14.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 the Lofoten Vortex. Remote Sensing. 15(7), 1903. doi.:10.3390/rs15071903.
15.Nukapothula, S., Yunus, A. P., Chuqun, C., &Lin, X.(2023). Impact of extreme climatic events on the total suspended matter concentrations in coastal waters using OceanSat-2 observations.Physics and Chemistry of the Earth, Parts A/B/C,131, 103435.
16.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. doi:10.3390/ rs14215461
17.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. Acta Oceanologica Sinica, 41(10), 74-93.doi:10.1007/s13131-022-2006-4
18.Liu, Y., Wang, J., Han, G.,Lin, X.,Yang, G.,&Ji, Q.(2022), Spatio-temporal analysis of east greenland polar front. Frontiers in Marine Science,9. doi: 10.3389/fmars.2022.943457
19.Nukapothula, S., Chen, C., Yunus, A. P., &Lin, X.(2022). Trends in Chlorophyll-a Concentration Along the Krishna–Godavari Basin as Observed From MODIS Archives. Pure and Applied Geophysics, 179(10), 3827-3840.
20.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. doi:10.3390/rs14143300
21.Han, L., Ji, Q., Jia, X., Liu, Y., Han, G., &Lin, X.(2022), Significant Wave Height Prediction in the South China Sea Based on the ConvLSTM Algorithm. Journal of Marine Science and Engineering, 10(11), 1683.doi:10.3390/jmse10111683
22.Dong C, Liu L, Nencioli F, …Lin, Xet al. (2022), The near-global ocean mesoscale eddy atmospheric-oceanic-biological interaction observational dataset[J]. Scientific Data, 9(1): 1-13.
23.纪琪严，刘宇，林夏艳，蔡丽娜,（2022），研究生精品课程"海洋数值模拟"建设与探索. 教育教学论坛, 19:9-12.
24.Sun, W., Liu, Y., Chen, G., Tan, W.,Lin, X.,Guan, Y., & Dong, C. (2021), Three-dimensional properties of mesoscale cyclonic warm-core and anticyclonic cold-core eddies in the South China Sea. Acta Oceanologica Sinica, 40(10), 17–29.doi:10.1007/s13131-021-1770-x
25.林夏艳,董昌明,陈大可(2018),台湾岛西南部一个暖涡的跨海盆粒子输运,热带海洋学报,37(03):1-10.
26.Lin X,Dong C, Chen D, Liu, Y., Yang, J., Zou, B., & Guan, Y. (2015), Three-dimensional properties of mesoscale eddies in the South China Sea based on eddy-resolving model output. Deep Sea Research Part I: Oceanographic Research Papers, 99: 46-64.
27.林夏艳,管玉平, 刘宇,(2013), 2000 年秋季东沙冷涡的三维结构及其演化过程. 热带海洋学报,32(2): 55-65.
28.Dong C,Lin X,Liu Y, et al. (2012), Three‐dimensional oceanic eddy analysis in the Southern California Bight from a numerical product. Journal of Geophysical Research: Oceans, 117(C7).
29.董昌明,蒋星亮,徐广珺,季巾淋,林夏艳,孙文金,王森,海洋涡旋自动探测几何方法、涡旋数据库及其应用,海洋科学进展,2017,35(04):439-453.
主要论著：
1.《海洋中尺度涡旋探测与分析》，董昌明编著，2015年，科学出版社。（荣获2016年度海洋科学优秀图书；负责第四章、第九章第一节）
荣誉获奖:
1.浙江省第十二届高等学校青年教师竞赛二等奖
2.浙江海洋大学第十三届青年教师教学竞赛一等奖（理科组第一）
3.2023年课程思政优秀教学案例特等奖，2021年一等奖
4.2023年浙江海洋大学校十佳班主任
5.浙江海洋大学海洋科学与技术学院首届“星颉奖”优秀青年奖
6.第四届江苏省海洋与渔业科技创新奖一等奖（11/11）：海洋涡旋几何特征探测技术的开发及其在海洋环境动力分析与渔场识别中的应用
指导学生竞赛、创新训练
1.2024，MCM/ICM美国大学生数学建模竞赛，Problem A, Meritorious Winner
发明专利
发明名称：一种基于人工智能算法的海洋三维涡旋识别系统及方法，
发明人：徐广珺；谢文鸿;林夏艳;刘宇;董昌明
专利申请日：2023年04月03日
授权公告号：CN116386027B
学术兼职
1. 2023-2024年，自然资源部第二海洋研究所，青年访问海星学者
2.中国海洋学会人工智能海洋学专业委员会，委员
