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 |
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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(Lorenz63 example;Lorenz96 example)
- 耦合资料同化系统
- 参数估计方法也应用(参数估计结果图)
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