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Details of the Faculty or Staff
Name   Wenjun Tang Home Page     
Highest Education      Ph.D Office      Building 3, Courtyard 16, Lincui Road, Chaoyang District, Beijing 100101, China
Phone      010-84097046 Zip Code      100101
Fax      010-8409 7079 Email      tangwj@itpcas.ac.cn

Education and Appointments:

Education

Ph.D. Natural Geography, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, 2012

B. S. Applied Meteorology, School of Applied Meteorology, Nanjing University of Information Science & Technology, 2006

Appointments

Associate Professor, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, 2014-present

Post-Doctoral Fellow, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, 2012-2014


Research Interest:
Research Interests: Estimation of surface radiation with remote sensing and station data; Development of meteorological forcing dataset over China; Solar resource assessment; PV power forecasting method development
Research Field: Quantitative remote sensing; Surface energy balance and climate change; Solar resource assessment
Public Services:
 

Honors:
 
Selected Publications:

1. Tang, W.*, Yang, K., Qin, J., Li, X., Niu, X., 2019. A 16-year dataset (20002015) of high-resolution (3 h, 10 km) global surface solar radiation, Earth System Science Data, 11(4): 19051915. 

2. Tang, W.*, Li, J., Yang, K., Qin, J., Zhang, G., Wang, Y., 2019. Dependence of remote sensing accuracy of global horizontal irradiance at different scales on satellite sampling frequency, Solar Energy, 193:597603. 

3. Tang, W.*, Yang, K., Qin, J., Min, M., Niu, X., 2018. First Effort for Constructing a Direct Solar Radiation Data Set in China for Solar Energy Applications, Journal of Geophysical Research-Atmospheres, 123(3): 1724-1734. 

4. Tang, W.*, Qin J., Yang, K., Niu, X., Min, M., and Liang, S., 2017. An efficient algorithm for calculating photosynthetically active radiation with MODIS products, Remote Sensing of Environment, 194, 146-154. 

5. Tang, W.*, Yang, K., Sun, Z., Qin, J., and Niu, X., 2017. Global Performance of a Fast Parameterization Scheme for Estimating Surface Solar Radiation From MODIS Data, IEEE Transactions on Geoscience and Remote Sensing, 55(6). 

6. Tang, W.*, Yang, K., Qin J., Niu, X., Lin, C., and Jing, X., 2017. A revisit to decadal change of aerosol optical depth and its impact on global radiation over China, Atmospheric Environment, 150, 106-115. 

7. Tang, W.*, Qin J., Yang, K., Liu, S., Lu, N., and Niu, X., 2016. Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data, Atmospheric Chemistry and Physics, 16, 2543-2557. 

8. Qin, J.*, Tang, W., Yang, K., Lu, N., Niu, X., and Liang, S., 2015. An efficient physically based parameterization to derive surface solar irradiance based on satellite atmospheric products, Journal of Geophysical Research-Atmospheres, 120, 49754988. 

9. Tang, W.*, Qin J., Yang, K., Niu, X., Zhang, X., Yu, Y., and Zhu, X., 2013. Reconstruction of Daily Photosynthetically Active Radiation and its Trends over China, Journal of Geophysical Research-Atmospheres, 118(23), 13,292-13,302. 

10. Tang, W.*, Yang, K., Qin J., and Min, M., 2013. Development of a 50-year daily surface solar radiation dataset over China, Science China-Earth Science, 56(9), 1555-1565. 

11. Tang, W., Yang, K.*, Qin, J., Cheng, C., and He, J., 2011. Solar radiation trend across China in recent decades: a revisit with quality-controlled data, Atmospheric Chemistry and Physics, 11, 393-406. 

12. Tang, W., Yang, K.*, He, J., and Qin, J. 2010. Quality control and estimation of global solar radiation in China, Solar Energy, 84(3), 466-475. 


Supported Projects:

1.    2017-2020 (Ongoing), “Retrieving surface solar radiation based on new generation geostationary meteorological satellite Himawari-8”, grant no. 41671372, NSFC General Program, PI.

2.    2017-2020 (Ongoing), “Youth Innovation Promotion Association Fund”, grant no. 2017100, CAS, PI.

3.    2017-2022 (Ongoing), “Interaction of natural and human elements on the land surface and regional performance driven by global changes”, grant no. 2017YFA0603600, National Key Research and Development Project, Ministry of Science and Technology of China, main participant.