Shangguan, Wei

Associate Professor

Land-Atmosphere Interaction Research Group, Sun-Yat-Sen University.
No. 135, Xingang Xi Road, Sun-Yat-Sen University, Building 169, room 1007, Guangzhou 510275, China

Email: shgwei@mail.sysu.edu.cn

Education and Appoitment:
2001.9-2005.7: B.S. Geography Information System, Central South University, Changsha, China.
2005.9-2010.7: Ph.D. Global environment change, Beijing Normal University, Beijing, China.
2010.8-2014.6: Research assistant professor, Beijing Normal University, Beijing, China.
2014.7-2016.9 : Associate professor, Beijing Normal University, Beijing, China.
2014.10-2015.10: Guest Researcher, ISRIC - World Soil Information, Wageningen, The Netherlands.
2016.9 to date Associate professor, Sun-Yat-Sen University, Guangzhou, China.

Research Interests:
Digital soil mapping and Soil geography
Land surface modeling
GIS applications in atmospheric sciences

• Shangguan, W., T. Hengl, J. Mendes de Jesus, H. Yuan, and Y. Dai, 2017: Mapping the global depth to bedrock for land surface modeling. Journal of Advances in Modeling Earth Systems, In press.
• Hengl, T., M. d. J. J., G. B. M. Heuvelink, R. Gonzalez, K. M., M. , A. Blagotic, W. Shangguan, M. N. Wright, X. Geng, B. Bauer-Marschallinger, M. A. Guevara, R. Vargas, R. A. MacMillan, N. H. Batjes, J. G. B. Leenaars, E. Ribeiro, I. Wheeler, S. Mantel, and B. Kempen, 2017: SoilGrids250m: global gridded soil information based on Machine Learning. PLOS One, In press.
• Yuan, H., Y. Dai, R. E. Dickinson, B. Pinty, W. Shangguan, S. Zhang, L. Wang, and S. Zhu, 2017: Reexamination and further development of two-stream canopy radiative transfer models for global land modeling. Journal of Advances in Modeling Earth Systems, In press.
• Zhou, T., P. J. Shi, G. S. Jia, Y. J. Dai, X. Zhao, W. Shangguan, L. Du, H. Wu, and Y. Q. Luo, 2015: Age-dependent forest carbon sink: Estimation via inverse modeling. Journal of Geophysical Research-Biogeosciences, 120, 2473-2492.
• W. Shangguan, P. Gong, L. Liang, Y. Dai, and K. Zhang, Soil diversity as affected by land use in China: consequences for soil protection. The Scientific World Journal, 2014
• Shangguan, W., Y. Dai, C. García-Gutiérrez, and H. Yuan (2014), Particle-size distribution models for the conversion of Chinese data to FAO/USDA system, the scientific world journal, 2014.
• Shangguan, W., Dai, Y., Duan, Q., Liu, B. and Yuan, H., 2014. A Global Soil Data Set for Earth System Modeling. Journal of Advances in Modeling Earth Systems, 6: 249-263.
• Yuan, H., R. E. Dickinson, Y. Dai, M. J. Shaikh, L. Zhou, W. Shangguan, and D. Ji, 2014. A 3D Canopy Radiative Transfer Model for Global Climate Modeling: Description, Validation, and Application, Journal of Climate, 27, 1168-1192.
• Yongjiu Dai, Wei Shangguan, Qingyun Duan, Baoyuan Liu, Suhua Fu, and Guoyue Niu, 2013. Development of a China dataset of soil hydraulic parameters using pedotransfer functions for land surface modeling. Journal of Hydrometeorology 14: 869-887.
• Wei Shangguan, Yongjiu Dai, Baoyuan Liu, Qingyun Duan, Aizhong Ye, Duoyin Ji and coauthors,2013: A China Dataset of Soil Properties for Land Surface Modeling. Journal of Advances in Modeling Earth Systems, 5, 1-13.
• Zheng Y. M., Niu Z. G., Gong P., Dai Y. and Shangguan W. Preliminary estimation of the organic carbon pool in China's wetlands. Chin Sci Bull,58: 662-670.
• Shangguan, W., Y. Dai, B. Liu, A. Ye, and H. Yuan, 2012. A soil particle-size distribution dataset for regional land and climate modelling in China, Geoderma, 171-172, 85-91.
• Yuan,H., Dai, Y., Xiao, Z., Ji, D., Shangguan, W., 2011. Reprocessing the MODIS Leaf Area Index products for land surface and climate modeling. Remote sensing of Environment 115, 1171-1187.