陈玮婧

1、个人基本信息：

姓    名：陈玮婧

性    别： 女

出生年月：1990年7月

技术职称： 讲师

毕业院校： 武汉大学

学历（学位）：工学博士

所在学科： 地理信息科学

2、学习和工作经历：

工作经历：

教育经历：

3、目前研究领域：

陆面模拟与数据同化、地表水热变量遥感反演

4、主持在研或已完成主要课题：

（1）江苏省高校面上项目，基于多源遥感联合同化的淮河流域蒸散发研究，2018.09-2020.08，项目主持。

5、主要成果（已发表的学术论文、出版著作、授权发明专利）：

（1）Chen W, Huang C, Yang Z L. More severe drought detected by the assimilation of brightness temperature and terrestrial water storage anomalies in Texas during 2010–2013[J]. Journal of Hydrology, 2021, 603: 126802.

（2）Chen W, Huang C, Yang ZL, Zhang Ying. Retrieving accurate soil moisture over the Tibetan Plateau using multi-source remote sensing data assimilation with simultaneous state and parameter estimations[J]. Journal of Hydrometeorology, 2021, 22(10): 2751-2766. 

（3）Hou J, Huang C, Chen W, Zhang Ying. Improving Snow Estimates Through Assimilation of MODIS Fractional Snow Cover Data Using Machine Learning Algorithms and the Common Land Model[J]. Water Resources Research, e2020WR029010.

（4）Hou J, Huang C, Chen W, Zhang Ying. Developing Machine Learning‐Based Snow Depletion Curves and Analyzing Their Sensitivity over Complex Mountainous Areas[J]. Hydrological Processes, 2021, 35(8): e14303.

（5）Tao L, Wang G, Chen W, Chen X, Li J, Cai Q. Soil moisture retrieval from SAR and optical data using a combined model[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(2): 637-647.

（6）Chen W, Shen H, Huang C, Li X. Improving Soil Moisture Estimation with A Dual Ensemble Kalman Smoother by Jointly Assimilating AMSR-E Brightness Temperature and MODIS LST[J]. Remote Sensing, 2017, 9(3): 273.

（7）Huang C, Chen W, Li Y, Li X. Assimilating multi-source data into land surface model to simultaneously improve estimations of soil moisture, soil temperature, and surface turbulent fluxes in irrigated fields[J]. Agricultural and Forest Meteorology, 2016, 230: 142-156.

（8）Gao M, Shen H, Han X, Chen W. Numerical simulation of diurnal variation of urban land surface temperature based on CLM4.5[C]//Earth Observation and Remote Sensing Applications (EORSA), 2016 4th International Workshop on IEEE, 2016: 183-187. https://doi.org/10.1109/EORSA.2016.7552793

（9）Chen W, Huang C, Shen H, Li X. Comparison of ensemble-based state and parameter estimation methods for soil moisture data assimilation[J]. Advances in Water Resources, 2015, 86: 425-438.

（10）陈玮婧, 黄春林, 沈焕锋, 李新. 基于Lorenz-63模型的状态与参数同时估计方法对比研究[J]. 遥感技术与应用, 2015, 30(4): 684-693.

（11）曹永攀, 黄春林, 陈玮婧, 张莹. 联合同化MODIS地表温度与机载L波段微波亮度温度估计土壤水分[J]. 遥感技术与应用, 2017, 32(04): 606-614.

6、所获学术荣誉及学术影响：

7、联系电话：       联系邮箱：wjchen@csust.edu.cn