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 Kun Wang

Kun Wang

Wang Kun, female, born in 1981, PhD. Dr. Wang is the Research Associate in the Institute of Remote Sensing and Digital Earth of CAS and CAS Key Laboratory of Digital Earth Sciences. She is mainly engaged in the studies of crop growth model, harmonization of remote sensing data as well as the corresponding observational verifications and environmental monitoring. Dr Wang has presided and participated in more than 10 projects, including National Natural Science Foundation of China, National Science and Technology Major Project, 973 Project, 863 Project, State Key Laboratory Projects and CAS Innovation Team. She has published over 20 academic articles.

Education

2005.09-2009.07, Doctor of Science in Ecology, Institute of Geographic Sciences and Natural Resources Research, CAS. Supervisor: Mo Xingguo (Research Fellow).

2002.09-2005.07, Master of Science in Ecology, School of Natural Resources, Beijing Normal University. Supervisor: Prof.Gao Qiong.

2000.09-2002.07, Bachelor of Science in Mathematics and Applied Mathematics, School of Mathematics and Statistics, Shandong Normal University. 

Research Experience

2014.02-Present, Research Associate in the Institute of Remote Sensing and Digital Earth of CAS

2012.09-2014.02, Assistant Research Scientist in the Institute of Remote Sensing and Digital Earth of CAS 

2011.10-2012.08, Assistant Research Scientist in the Institute of Remote Sensing Applications of CAS

2009.07-2011.09, Postdoctoral Fellow in the Institute of Geographic Sciences and Natural Resources Research, CAS. Co-advisor: Li Shaoliang (Research Fellow) 

Research Area: crop growth model, harmonization of remote sensing data, environmental monitoring

Research Projects

2012.01-2014.12, Principal investigator. Project supported by Youth Program of National Natural Science Foundation of China: Uncertainty Analysis of Land Surface Process Model and Parametric Study of Data Assimilation. Research grant: RMB¥250,000. 

2013.01-2015.12, Principal investigator. National Science and Technology Major Project: Large advanced pressurized water reactor nuclear power plant project of the Nuclear and Radiation Safety Center, under the subject of CAP1400 key technology research safety review. Project topic: uncertainty analysis and model optimization of Lagrange region-scale atmospheric diffusion model (LRDM-N). Research grant: RMB¥500,000. 

2013.06-2014.12, Principal investigator. 2013 Youth Talent Project of State Key Laboratory of Remote Sensing Science: Study on The Application of Land Surface Process and Land Surface Parameters Consistent with MODIS. Research grant: RMB¥80,000. 

2015.09-2018.12, Principal investigator. Project supported by Open Research Fund of Key Laboratory of Agricultural meteorological support and application, China Meteorological Administration: Study on WUE Of Winter Wheat Based on FY-3B Soil Moisture Data and Crop Growth Model Assimilation. Research grant: RMB¥80,000. 

2013.06-2014.12, Project & research secretary. National Basic Research Program of China: Mechanism and Scaling of High-Resolution Land Surface Energy and Water Exchange Process. 

Publications 

Jiang, D., Wang, K. (2019). The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review. Water, 11, 1615.

Chen Qiting; Jia Li,; Menenti Massimo; Hutjes Ronald; Hu Guangcheng, Zheng Chaolei, Wang K. (2019).A numerical analysis of aggregation error in evapotranspiration estimates due to heterogeneity of soil moisture and leaf area index, Agricultural and Forest Meteorology, , 269-270: 335-350.

Li Z.S., Jia L., Hu G.C., Lu J., Zhang J.X., Chen Q.T., Wang K. (2015). Estimation of growing season daily ET in the mid- and down-stream areas of the Heihe River Basin 

using HJ-1 data. IEEE Geoscience and Remote Sensing Letters, 12(5), 948–952. 

Wang K., R., Tang, Z-L., Li, (2013), Comparison of integrating LAS/MODIS data into a land surface model for improved estimation of surface variables through data assimilation. International Journal of Remote Sensing. 34(9-10), 3193-3207.

Wu Baojian, Wang Kun, Jia Li, Guo Ruiping. 2017. Influences of Source Term on Long-Range Transport of Radionuclides from The Fukushima Daiichi Nuclear Accident with FLEXPART Model. Climatic and Environmental Research, 22(1): 10-22.

Wang Kun, Mo Xingguo, Lin Zhonghui, Zhang Xiying, Shu Chang. 2010. Improvement and Validation of Vegetation Interface Process Model. Chinese Journal of Ecology, 29(2): 387-394.

Wang Kun, Mo Xingguo, Lin Zhonghui, Shu Chang. 2010. Uncertainty Analysis of Vegetation Interface Processes (VIP) Model Based on GLUE. Chinese Journal of Agrometeorology, 31(4): 522-527.

Wang Kun, Liu Yinghui, Gao Qiong, Mo Xingguo. 2006. Parameter Analysis and Scaling of Plant Root Hydraulic Redistribution Model. Chinese Journal of Plant Ecology, 30(6): 969-975.

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