Talent details

Name:Jun Qin
Title & Affiliation:Ph.D, Professor
Homepage in Chinese:http://sourcedb.itpcas.cas.cn/cn/expert/200907/t20090706_2001494.html
Address:Building 3, Courtyard 16, Lin Cui Road, Chaoyang District, Beijing 100101P.R. China

Education and Appointments

Ph.D. in Cartography and GIS, Beijing Normal University, China, 2006
B. S. in Meteorology, Nanjing Institute of Meteorology, China, 2001
2015.05-present Professor, Institute of Tibetan Plateau Research, CAS, China
2008.05-2015.05 Associate Professor, Institute of Tibetan Plateau Research, CAS, China
2006.06-2008.04 Post Doctor, Institute of Geographic Sciences and Natureal Resources, China

Research Interest

Research Interests: land surface data assimilation, quantitative remote sensing, hydrometeorology, climate change
Research Fields: remote sensing and its applications in hydrometeorology

Selected Publications

Publications in the recent 5 years (2016-2020) (* corresponding author; # joint first authors; Including books and book chapters)
Part 1: 5 representative publications 
1. Zhou, X.*, Qin, J., Li, H.D., Tang, W., Pan, X., Li, X., 2020: A statistical method to construct wind speed at turbine height for study of wind power in China. Theoretical and applied Climatology, 141: 419–432
2. Tang, W. *, K. Yang, J. Qin, X. Li, X. Niu, 2019: A 16-year dataset (2000-2015) of high-resolution (3 h, 10 km) global surface solar radiation, Earth System Science Data, 11:1905-1915
3. Jiang, H., N., Lu, J. Qin, W. Tang, L. Yao, 2019: A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data, Renewable and Sustainable Energy Reviews, 114: 109327
4. Chen, Y.*, K. Yang, J. Qin, Q. Cui, H. Lu, Lazhu, M. Han, and W. Tang, 2017: Evaluation of SMAP, SMOS, and AMSR2 soil moisture retrievals against observations from two networks on the Tibetan Plateau, J. Geophys. Res. Atmos., 122(11), 5780-5792
5. Tang, W.*, J. Qin, K. Yang, X. Niu, M. Min, and S. Liang, 2017: An efficient algorithm for calculating photosynthetically active radiation with MODIS products, Remote Sens. Environ, 194: 146-154
Part 2: all other publications (exclude part 1)
1. Yang, K. *, Chen, Y.Y., He, J., Zhao, L., Lu, H., Qin, J., Zheng, D.H., Li, X., 2020: Development of a daily soil moisture product for the period of 2002–2011 in Chinese Mainland. Science China - Earth Sciences, 63:113-1125
2. He, J. *, K. Yang, W. Tang, H. Lu, J. Qin, Y. Chen, X. Li, 2020: The first high-resolution meteorological forcing dataset for land process studies over China, Scientific Data, 7, 25 
3. Tang, W. *, K. Yang, J. Qin, X. Li, X. Niu, 2019: A 16-year dataset (2000-2015) of high-resolution (3 h, 10 km) global surface solar radiation, Earth System Science Data, 11:1905-1915
4. Lu, N. *, S. Liang, G. Huang, J. Qin, L. Yao, D. Wang, K. Yang, 2018: Hierarchical Bayesian space-time estimation of monthly maximum and minimum surface air temperature, Remote Sens. Environ, 211: 48-58
5. Kang, J. *, R. Jin, X. Li, C. Ma, J. Qin, Y. Zhang, 2017: High spatio-temporal resolution mapping of soil moisture by integrating wireless sensor network observations and MODIS apparent thermal inertia in the Babao River Basin, China, Remote Sens. Environ, 191: 232-245
6. Wang, Y., K. Yang*, Z. Pan, J. Qin, D. Chen, C. Lin, Y. Chen, Lazhu, W. Tang, M. Han, N. Lu, and H. Wu, 2017: Evaluation of Precipitable Water Vapor from Four Satellite Products and Four Reanalysis Datasets against GPS Measurements on the Southern Tibetan Plateau, J. Climate, 30(15), 5699-5713
7. Han, M., H. Lu*, K. Yang, J. Qin, Y. Chen, L. Zhao, and Lazhu, 2017: A surface soil temperature retrieval algorithm based on AMSR-E multi-frequency brightness temperatures, International Journal of Remote Sensing, 38(23): 6735-6754
8. Tang, W. *, K. Yang, Z. Sun, J. Qin, and X. Niu, 2017: Global Performance of a Fast Parameterization Scheme for Estimating Surface Solar Radiation From MODIS Data, IEEE Trans. Geosci. Remote Sens, 55(6): 3558-3571
9. Tang, W. *, K. Yang, J. Qin, X. Niu, C. Lin, and X. Jing, 2017: A revisit to decadal change of aerosol optical depth and its impact on global radiation over China, Atmos. Env., 150, 106-115
10. Lazhu, K. Yang*, J. Wang, Y. Lei, Y. Chen, L. Zhu, B. Ding, and J. Qin, 2016: Quantifying evaporation and its decadal change for Lake Nam Co, central Tibetan Plateau, J. Geophys. Res. Atmos., 121(16), 7578-7591 
11. Tang, W. *, J. Qin, K. Yang, S. Liu, N. Lu, and X. Niu, 2016: Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data, Atmos. Chem. Phys., 16, 2543-2557 
12. Yang, K. *, Lazhu, Y. Chen, L. Zhao, J. Qin, H. Lu, W. Tang, M. Han, B. Ding, and N. Fang, 2016: Land surface model calibration through microwave data assimilation for improving soil moisture simulations, J. Hydrol., 533, 266–276