1.2009/8 – 2019.9，北京师范大学，全球变化与地球系统科学研究院，讲师，副教授
2.2019/9 – 至今，中山大学，测绘科学与技术学院，副教授

1.国家自然科学基金面上项目，41571338、利用大气二氧化碳观测优化生态模型参数的方法研究、2016/01-2019/12，已结题，主持
2.国家重点基础研究计划“格陵兰冰盖监测、模拟及气候影响研究”课题四“格陵兰典型冰流系统高分辨现场观测研究”，2018YFC1406101、2018/08-2021/12，在研、主持

1. Chen Z., Chen J.M., Zheng X., Jiang F., Qin J., Zhang S., Yuan W., Ju W., Mo G., 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.
2. Chen Z., Shi R.H., Zhang S.P., 2013. An artificial neural network approach to estimate evapotranspiration from remote sensing and AmeriFlux data. Frontiers of earth science. 7(1): 103-111.
3. Chen Z., Shao Q.Q., Liu J.Y., et al., 2012. Analysis of net primary productivity of terrestrial vegetation on the Qinghai-Tibet Plateau, based on MODIS remote sensing data. Science China: Earth Sciences. 55(8): 1306-1312.
4.Chen Z., Shao Q.Q., Liu J.Y., et al., 2012. Estimating photosynthetic active radiation using MODIS atmosphere product. Journal of Remote Sensing. 16(1): 25-37. 5.Zhang S., Yi X., Zheng X., Chen Z.*, et al., 2014. Global carbon assimilation system using a local ensemble Kalman filter with multiple ecosystem models. Journal of Geophysical Research: Biogeosciences, 119(11), 2171-2187.
6.Zhang X., Liang S., Song Z., Niu H., Wang G., Tang W., Chen Z., Jiang B., 2015. Local Adaptive Calibration of the Satellite-Derived Surface Incident Shortwave Radiation Product Using Smoothing Spline. IEEE Transactions on Geosciences and Remote Sensing. DOI: 10.1109/TGRS.2015.2475615.
7.Zhang S., Zheng X., Chen J. M., Chen Z., Dan B., Yi X., Wang L., and Wu G. 2015. A global carbon assimilation system using a modified ensemble Kalman filter, Geosci. Model Dev., 8, 805-816
8.Zheng H., Li Y., Chen J.M., Wang T., Huang Q., Huang W.X., Wang L.H., Li S.M., Yuan W.P., Zheng X., Zhang S.P., Chen Z., and Jiang F., 2015. A global carbon assimilation system based on a dual optimization method, Biogeosciences, 12, 1131-1150.
9.Yuan W, Xu B, Chen Z., et al., 2014. Validation of China-wide interpolated daily climate variables from 1960 to 2011. Theoretical and Applied Climatology. 1-12.