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How Accurately Can the Air Temperature Lapse Rate Over the Tibetan Plateau Be Estimated From MODIS LSTs? 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2018, 卷号: 123, 期号: 8, 页码: 3943-3960
Authors:  Zhang, HB (Zhang, Hongbo);  Zhang, F (Zhang, Fan);  Zhang, GQ (Zhang, Guoqing);  Che, T (Che, Tao);  Yan, W (Yan, Wei)
Adobe PDF(4111Kb)  |  Favorite  |  View/Download:11/0  |  Submit date:2019/06/13
LAND-SURFACE TEMPERATURE  ESTIMATING DAILY MAXIMUM  MASS-BALANCE  GROUND MEASUREMENTS  CLIMATE-CHANGE  CLEAR-SKY  IN-SITU  MINIMUM  GLACIER  ICE  
Slower Snowmelt in Spring Along With Climate Warming Across the Northern Hemisphere 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2018, 卷号: 45, 期号: 22, 页码: 12331-12339
Authors:  Wu, XJ (Wu, Xuejiao);  Che, T (Che, Tao);  Li, X (Li, Xin);  Wang, NL (Wang, Ninglian);  Yang, XF (Yang, Xiaofan)
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Water Equivalent  Radiometer Data  Products  Depth  Responses  Regimes  Boreal  Model  Flow  
Lake ice phenology of Nam Co, Central Tibetan Plateau, China, derived from multiple MODIS data products 期刊论文
JOURNAL OF GREAT LAKES RESEARCH, 2017, 卷号: 43, 期号: 6, 页码: 989-998
Authors:  Gou, P (Gou, Peng);  Ye, QH (Ye, Qinghua);  Che, T (Che, Tao);  Feng, Q (Feng, Qiang);  Ding, BH (Ding, Baohong);  Lin, CG (Lin, Changgui);  Zong, JB (Zong, Jibiao);  Gou, P
Adobe PDF(1881Kb)  |  Favorite  |  View/Download:54/0  |  Submit date:2018/05/15
Great Slave Lake  Satellite Data  Northern-hemisphere  Climate-change  Water Storage  Bear Lake  Cover  Variability  Wisconsin  Thickness  
Estimating daily air temperatures over the Tibetan Plateau by dynamically integrating MODIS LST data 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2016, 卷号: 121, 期号: 19, 页码: 11425-11441
Authors:  Zhang, HB (Zhang, Hongbo);  Zhang, F (Zhang, Fan);  Ye, M (Ye, Ming);  Che, T (Che, Tao);  Zhang, GQ (Zhang, Guoqing);  Zhang, F
Adobe PDF(3291Kb)  |  Favorite  |  View/Download:44/0  |  Submit date:2017/08/25
Estimating Daily Maximum  Support Vector Regression  Land-surface Temperatures  Neural-network  Spatial Interpolation  Bootstrap Methods  Random Forests  Avhrr Data  Climate  Resolution