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
