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张树鹏 / Zhang Shupeng [副教授 / Associate Professor]中文简历English Resume

基本情况

副教授,硕士生导师,中山大学“百人计划二期”引进紧缺人才。 


科研方向

陆面模式开发,数据同化,偏微分方程数值解法,并行计算。

 

联系方式

通讯地址: 广州市新港西路135 中山大学大气科学学院 (邮编510275)
Email:
zhangshp8@mail.sysu.edu.cn 

 

教育经历

20059月至20107月,北京师范大学数学科学学院,应用数学,博士;

20009月至20047月,北京师范大学数学科学学院,数学与应用数学,学士。

 

工作经历

20169月至今,中山大学大气科学学院 ,副教授;

20108月至20168月,北京师范大学全球变化与地球系统科学研究院,讲师。

 

讲授课程

数据同化

 

科研项目

国家青年自然科学基金项目:陆面模式的土壤水运动方程数值计算方法研究(41605071),负责人。20171月至201912月。

公益性行业(气象)科研专项经费:GRAPES陆面数据同化系统建设(GYHY201206008),参与人。20121201412月。

973计划:气候模式的可信度验证和改进气候模式预报方法的研究(2010CB951604),骨干。20106201412月。

973计划:全球不同区域陆地生态系统碳源汇演变驱动机制与优化计算研究(2010CB950703),参与人。20106201412月。

 

代表性论文

Zhang, S., X. Zheng, J. M. Chen, Z. Chen, B. Dan, X. Yi, L. Wang, and G. Wu (2015), A global carbon assimilation system using a modified ensemble Kalman filter, Geoscientific Model Development, 8(3), 805-816.

Zhang, S., X. Yi, X. Zheng, Z. Chen, B. Dan, and X. Zhang (2014), Global carbon assimilation system using a local ensemble Kalman filter with multiple ecosystem models, Journal of Geophysical Research: Biogeosciences, 119(11), 2171-2187.

Zhang, S., C. Liu, and H. Zhang (2011), Numerical Simulations of Hydrodynamics of Nematic Liquid Crystals: Effects of Kinematic Transports, Communications in Computational Physics, 9(04), 974-993.

Zheng, H., et al. (2015), A global carbon assimilation system based on a dual optimization method, Biogeosciences, 12(4), 1131-1150.

Chen, Z. Q., J. M. Chen, X. G. Zheng, F. Jiang, J. Qin, S. Zhang, W. P. Yuan, W. M. Ju, and G. Mo (2015), Optimizing photosynthetic and respiratory parameters based on the seasonal variation pattern in regional net ecosystem productivity obtained from atmospheric inversion, Science Bulletin, 60(22), 1954-1961.

Chen, Z. Q., Y. X. Qin, Y. Shen, and S. Zhang (2016), Evaluation of Global Satellite Mapping of Precipitation Project Daily Precipitation Estimates over the Chinese Mainland, Advances in Meteorology, 2016, 9365294.

Li, T., et al. (2014), Mapping near-surface air temperature, pressure, relative humidity and wind speed over Mainland China with high spatiotemporal resolution, Advances in Atmospheric Sciences, 31(5), 1127-1135.

Qin, Y., Z. Chen, Y. Shen, S. Zhang, and R. Shi (2014), Evaluation of Satellite Rainfall Estimates over the Chinese Mainland, Remote Sensing, 6(11), 11649-11672.

Wu, G., X. Yi, L. Wang, X. Liang, S. Zhang, X. Zhang, and X. Zheng (2014), Improving the ensemble transform Kalman filter using a second-order Taylor approximation of the nonlinear observation operator, Nonlinear Processes in Geophysics, 21(5), 955-970.

Chen, Z., R. Shi, and S. Zhang (2012), An artificial neural network approach to estimate evapotranspiration from remote sensing and AmeriFlux data, Frontiers of Earth Science, 2013, 7(1): 103-111.

Wu, G. C., X. G. Zheng, L. Q. Wang, S. Zhang, X. Liang, and Y. Li (2013), A new structure for error covariance matrices and their adaptive estimation in EnKF assimilation, Quarterly Journal of the Royal Meteorological Society, 139(672), 795-804.

Zheng, X., G. Wu, S. Zhang, X. Liang, Y. Dai, and Y. Li (2013), Using analysis state to construct a forecast error covariance matrix in ensemble Kalman filter assimilation, Advances in Atmospheric Sciences, 30(5), 1303-1312.

Liang, X., X. Zheng, S. Zhang, G. Wu, Y. Dai, and Y. Li (2012), Maximum likelihood estimation of inflation factors on error covariance matrices for ensemble Kalman filter assimilation, Quarterly Journal of the Royal Meteorological Society, 138(662), 263-273.

 

Research Interests:

Land Surface Process Modeling, Data Assimilation, Numerical Methods of Partial Differential Equations, Parallel Computing.


Address: No. 135, Xingang Xi Road, Sun Yat-Sen University, Guangzhou, Guangdong, 510275

Email: zhangshp8@mail.sysu.edu.cn

 

Education Background:

2005.9-2010.6, School of Mathematical Sciences, Beijing Normal University, Ph.D

2000.9-2004.7, School of Mathematical Sciences, Beijing Normal University, B.S.

 

Work Experiences:

2016.9-present, Associate Professor, School of Atmospheric Sciences, Sun Yat-sen University

2010.8-2016.9, Lecturer, College of Global Change and Earth System Science, Beijing Normal University

 

Teaching:

Data Assimilation


Projects:

Research On Improving the Numerical Simulations of Soil Water Flow in Land Surface Modeling, The Youth Science Foundation of NSFC, 2017-2019, principal investigator

 

Publications:

Zhang, S., X. Zheng, J. M. Chen, Z. Chen, B. Dan, X. Yi, L. Wang, and G. Wu (2015), A global carbon assimilation system using a modified ensemble Kalman filter, Geoscientific Model Development, 8(3), 805-816.

Zhang, S., X. Yi, X. Zheng, Z. Chen, B. Dan, and X. Zhang (2014), Global carbon assimilation system using a local ensemble Kalman filter with multiple ecosystem models, Journal of Geophysical Research: Biogeosciences, 119(11), 2171-2187.

Zhang, S., C. Liu, and H. Zhang (2011), Numerical Simulations of Hydrodynamics of Nematic Liquid Crystals: Effects of Kinematic Transports, Communications in Computational Physics, 9(04), 974-993.

Zheng, H., et al. (2015), A global carbon assimilation system based on a dual optimization method, Biogeosciences, 12(4), 1131-1150.

Chen, Z. Q., J. M. Chen, X. G. Zheng, F. Jiang, J. Qin, S. Zhang, W. P. Yuan, W. M. Ju, and G. Mo (2015), Optimizing photosynthetic and respiratory parameters based on the seasonal variation pattern in regional net ecosystem productivity obtained from atmospheric inversion, Science Bulletin, 60(22), 1954-1961.

Chen, Z. Q., Y. X. Qin, Y. Shen, and S. Zhang (2016), Evaluation of Global Satellite Mapping of Precipitation Project Daily Precipitation Estimates over the Chinese Mainland, Advances in Meteorology, 2016, 9365294.

Li, T., et al. (2014), Mapping near-surface air temperature, pressure, relative humidity and wind speed over Mainland China with high spatiotemporal resolution, Advances in Atmospheric Sciences, 31(5), 1127-1135.

Qin, Y., Z. Chen, Y. Shen, S. Zhang, and R. Shi (2014), Evaluation of Satellite Rainfall Estimates over the Chinese Mainland, Remote Sensing, 6(11), 11649-11672.

Wu, G., X. Yi, L. Wang, X. Liang, S. Zhang, X. Zhang, and X. Zheng (2014), Improving the ensemble transform Kalman filter using a second-order Taylor approximation of the nonlinear observation operator, Nonlinear Processes in Geophysics, 21(5), 955-970.

Chen, Z., R. Shi, and S. Zhang (2012), An artificial neural network approach to estimate evapotranspiration from remote sensing and AmeriFlux data, Frontiers of Earth Science, 2013, 7(1): 103-111.

Wu, G. C., X. G. Zheng, L. Q. Wang, S. Zhang, X. Liang, and Y. Li (2013), A new structure for error covariance matrices and their adaptive estimation in EnKF assimilation, Quarterly Journal of the Royal Meteorological Society, 139(672), 795-804.

Zheng, X., G. Wu, S. Zhang, X. Liang, Y. Dai, and Y. Li (2013), Using analysis state to construct a forecast error covariance matrix in ensemble Kalman filter assimilation, Advances in Atmospheric Sciences, 30(5), 1303-1312.

Liang, X., X. Zheng, S. Zhang, G. Wu, Y. Dai, and Y. Li (2012), Maximum likelihood estimation of inflation factors on error covariance matrices for ensemble Kalman filter assimilation, Quarterly Journal of the Royal Meteorological Society, 138(662), 263-273.