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沈浙奇

副教授

河海大学海洋学院

邮箱：zqshen@hhu.edu.cn

QQ号：87727417

地址：南京市鼓楼区西康路1号河海大学，电气馆216室，邮编210024

学习经历：

  • 2007 – 2012, 浙江大学数学系，计算数学，博士
  • 2003 – 2007, 浙江大学数学系，数学与应用数学，学士

工作经历：

  • 2020.7 - 至今 ,河海大学，海洋学院，副教授
  • 2017.11 - 2020.7,自然资源部第二海洋研究所,副研究员,硕导
  • 2016.11 - 2017.7,加拿大北大不列颠哥伦比亚大学(UNBC),访问学者
  • 2015.11 - 2017.11,国家海洋局第二海洋研究所,助理研究员
  • 2012.7 - 2015.11,国家海洋局第二海洋研究所,博士后

研究方向：

  • 资料同化方法
  • 耦合资料同化系统
  • 参数估计方法也应用

主讲课程：

  • 数据同化理论与方法
  • 业务化海洋学导论

近期科研项目：

  • 国家自然科学基金青年项目，粒子滤波器局地化算法研究，2017/01-2019/12，主持
  • 自然资源部第二海洋研究所科研业务费专项“青年英才”计划，基于DART-CESM集合同化系统的强耦合同化方法研究，2019/01-2020/07。主持。
  • 国家重点研发计划“海洋环境安全保障”重点专项，全球高分辨率海洋资料同化技术研究与业务应用示范，2016/09 - 2020/12，参与（课题一）。
  • 国家重点研发计划“全球变化与应对”重点专项，高影响海-气环境事件预报模式的高分辨率海洋资料同化系统研发，2017/07 - 2022/06。参与（课题二）。
  • 国家自然科学基金重大项目，ENSO可预测性评估及预测实验，2017/01 - 2022/12，参与（课题四）。
  • 国家自然科学基金重点项目，近135年印度洋偶极子集合预报试验及可预报性研究，2016/01 - 2020/12，参与。
  • 国家海洋局科学技术司“全球变化与海气相互作用”专项，海洋动力系统可预报性研究，2016/01 - 2020/07，参与（课题三）。

论文论著：

Shen, Z., & Tang, Y. (2015). A modified ensemble Kalman particle filter for non-Gaussian systems with nonlinear measurement functions. Journal of Advances in Modeling Earth Systems, 7(1), 50–66.

Shen, Z., Tang, Y., & Li, X. (2017). A new formulation of vector weights in localized particle filter. Quarterly Journal of the Royal Meteorological Society, 143(709), 3268–3278. https://doi.org/10.1002/qj.3180

Shen, Z., Tang, Y., Li, X., & Gao, Y. (2021). On the localization in strongly coupled ensemble data assimilation using a two-scale Lorenz model. Earth and Space Science. https://doi.org/10.1029/2020EA001465; 论文讲解和源代码

Shen, Z., Zhang, X., & Tang, Y. (2016). Comparison and combination of EAKF and SIR-PF in the Bayesian filter framework. Acta Oceanologica Sinica, 35(3), 69–78. https://doi.org/doi: 10.1007/s13131-015-0757-x

Shen Z. and Tang, Y. (2021) A two-stage inflation method in parameter estimation to compensate for constant parameter evolution in CESM, Acta Oceanologica Sinica, accepted

Gao, Y., Liu, T., Song, X., Shen, Z., Tang, Y., & Chen, D. (2020). An extension of LDEO5 model for ENSO ensemble predictions. Climate Dynamics. https://doi.org/10.1007/s00382-020-05428-7

Li, J., Liang, C., Tang, Y., Liu, X., Lian, T., Shen, Z., & Li, X. (2017). Impacts of the IOD-associated temperature and salinity anomalies on the intermittent Equatorial Undercurrent anomalies. Climate Dyn, 51(4), 1391–1409.

Li, X., Tang, Y., Zhou, L., Yao, Z., Shen, Z., Li, J., & Liu, T. (2020). Optimal error analysis of MJO prediction associated with uncertainties in sea surface temperature over Indian Ocean. Climate Dynamics. https://doi.org/10.1007/s00382-020-05230-5

Lian, T., Shen, Z., Ying, J., Tang, Y., & Ling, Z. (2018). Investigating the uncertainty in global SST trends due to internal variations using an improved trend estimator. Journal of Geophysical Research - Oceans, 123(3), 1877–1895.

Liu, T., Tang, Y., Yang, D., Cheng, Y., Song, X., Hou, Z., Shen, Z., Gao, Y., Wu, Y., Li, X., & Zhang, B. (2019). The relationship among probabilistic, deterministic and potential skills in predicting the ENSO for the past 161 years. Climate Dynamics. Climate Dynamics, 53(11), 6947–6960.

Tang, Y., Shen, Z., & Gao, Y. (2016). An Introduction to Ensemble-Based Data Assimilation Method in the Earth Sciences. In D. Lee, T. Burg, & C. Volos (Eds.), Nonlinear Systems—Design, Analysis, Estimation and Control (pp. 153–193). IntechOpen. https://doi.org/10.5772/64718

Wu, Y., Shen, Z., & Tang, Y. (2020). A Flow‐dependent Targeted Observation Method for Ensemble Kalman Filter Assimilation Systems. Earth and Space Science, 7(7). https://doi.org/10.1029/2020EA001149

Yao, Z., Tang, Y., Lian, T., Xu, D., Li, X., Shen, Z., Zheng, J., Zhang, B., & Zhang, C. (2019). Roles of atmospheric physics and model resolution in the simulation of two types of El Niño. Ocean Modelling, 101468. https://doi.org/10.1016/j.ocemod.2019.101468

Zhang, H., Wu, R., Chen, D., Liu, X., He, H., Tang, Y., Ke, D., Shen, Z., Li, J., Xie, J., Tian, D., Ming, J., Liu, F., Zhang, D., & Zhang, W. (2018). Net Modulation of Upper Ocean Thermal Structure by Typhoon Kalmaegi. Journal of Geophysical Research - Oceans, 123(10), 7154–7171. https://doi.org/10.1029/2018JC014119

Zhang, J., Zhang, A., Zhang, X., Zhang, L., Li, D., Shen, Z., & Sun, C. (2020). Targeted observation analysis of the tides and currents in a Coastal Marine Proving Ground. Ocean Dynamics. https://doi.org/10.1007/s10236-020-01398-w

Zhang, X., Yang, L., Fu, H., Li, D., Shen, Z., Zhang, L., & Hu, X. (2020). A variational successive corrections approach for the sea ice concentration analysis. Acta Oceanologica Sinica, 39(9), 140–154. https://doi.org/10.1007/s13131-020-1654-5

Zhu, J., Chen, Z., & Shen, Z. (2012). The Mode Relation for Open Acoustic Waveguide Terminated by PML with Varied Sound Speed. Computer Modeling in Engineering & Sciences(CMES), 83(5), 547–559.

Zhu, J., & Shen, Z. (2011a). Computation of Nonlinear Schrödinger Equation on an Open Waveguide Terminated by a PML. Computer Modeling in Engineering & Sciences(CMES), 71(4), 347–362.

Zhu, J., & Shen, Z. (2011b). Dispersion relation of leaky modes in nonhomogeneous waveguides and its applications. Journal of Lightwave Technology, 29(21), 3230–3236.

Zhu, J., Shen, Z., & Chen, Z. (2012). Dispersion relations of the modes for open nonhomogeneous waveguides terminated by perfectly matched layers. JOSA B, 29(9), 2524–2530.

张钰婷, 沈浙奇, & 伍艳玲. (2021). 基于 CESM 模式的局地化粒子滤波器与集合卡尔曼滤波器同化实验. 海洋学报.

唐佑民, 郑飞, 张蕴斐, 沈浙奇, 李俊德, & 方玥炜. (2017). 高影响海-气环境事件预报模式的高分辨率海洋资料同化系统研发. 中国基础科学, 19(119), 50–56.

沈浙奇, 唐佑民, & 高艳秋. (2016). 集合资料同化方法的理论框架及其在海洋资料同化的研究展望. 海洋学报, 38(3), 1–14. https://doi.org/10.3969/j.issn.0253-4193.2016.03.001

会议报告

时间 国际会议 举办地 报告类型 标题
2013.06 AOGS2013 11th Annual Meeting Brisbane, Austrilia Oral A hybrid method of EnKF and SIR-PF for nonlinear systems
2014.07 AOGS2014 12th Annual Meeting Sapporo, Japan Poster A modified ensemble Kalman particle filter for data assimilation with nonlinear measurement functio
2015.08 International Geographical Union (IGU) 2015 Regional Conference Moscow, Russia Oral The modified ensemble Kalman particle filters for data assimilation with nonlinear measurement functions
2016.04 EGU General Assembly 2016 Vienna, Austria Oral 1. Comparison of EAKF and particle filter: towards an ensemble adjustment Kalman particle filter; 2. A modified ensemble Kalman particle filter for non-Gaussian systems with nonlinear measurement functions”
2016.07 AOGS2016 14th Annual Meeting Beijing, China Oral 1. A New Localized Particle Filter for Nonlinear and Non-Gaussian Data Assimilation; 2. A Modified Ensemble Kalman Particle Filter for Non-Gaussian Systems with Nonlinear Measurement Functions
2017.06 51th Canadian Meteorological and Oceanographic Society (CMOS) Congress Toronto, Canada Oral The formulation of vector weights in localized particle filter
2017.11 International Coupled Data Assimilation Symposium and the 11th National Ocean Data Assimilation Conference of China Qingdao, China Oral (invited) Study on the Localization in Ensemble Coupled Data Assimilation Using a Multi-scale Lorenz Model
2017.11 Banff International Research Station workshop “Nonlinear and Stochastic Problems in Atmospheric and Oceanic Prediction (17w5061)” Banff, Canada Oral (invited) Particle filter for data assimilation of nonlinear model systems with non-Gaussian noises
2019.04 EGU General Assembly 2019 Vienna, Austria Poster On the localization in strongly coupled ensemble data assimilation using a two-scale lorenz model
2019.05 9th Korea-China joint workshop on Marine Environmental Forecasting System for the West Pacific Ocean Jeju, Korea Oral Recent advances in ocean data assimilation with fully-coupled CESM using EAKF
2019.12 AGU 2019 San Francisco, US Poster On the Formulation of Vector Weights in Localized Particle
时间 国内会议 地点 报告类型 标题
2014.10 第九届全国海洋资料同化研讨会 南京 口头报告 针对非线性观测算子的集合卡尔曼粒子滤波器的算法研究
2015.07 第十届全国海洋资料同化会议 哈尔滨 口头报告 非高斯系统资料同化中的粒子滤波器算法研究进展
2017.07 第一届大气、海洋可预报性研讨会 杭州 口头报告 基于矢量化权重公式和局地化的粒子滤波器实用性算法的研究进展
2019.07 第二届大气、海洋可预报性研讨会 长春 口头报告 局地化粒子滤波器方法进展与展望
2019.10 第十二届全国海洋资料同化会议 杭州 口头报告 基于CESM耦合模式的多源海洋观测资料耦合同化系统
2020.12 第十三届全国海洋资料同化会议 长沙 口头报告 集合卡尔曼滤波参数估计在CESM耦合同化系统中的应用和挑战
2021.6 第三届大气、海洋可预报性研讨会 扬州 口头报告 CESM耦合模式中的集合滤波器参数估计方法研究和应用

学术兼职：

  • 海洋学报英文版（Acta Oceanologica Sinica）审稿人
  • Frontiers in Applied Mathematics and Statistics 审稿人
  • Nonlinear Processes in Geophysics 审稿人
  • 海洋学报中文版 审稿人

Publon CV

(Lorenz63 example;Lorenz96 example)