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Wang, Y. , Ding, M. , Reijmer, C. H. , Smeets, P. , & Xiao, C. . (2021). The AntSMB dataset: a comprehensive compilation of surface mass balance field observations over the antarctic ice sheet. Earth System Science Data, 13(6), 3057-3074.
Peng H, Zhao C, Feng Z, Tian F, Xu Z. Estimating spatial distribution of radiation below the Qinghai Spruce forest canopy in Qilian Mountains using hemispherical images and Airborne LiDAR data[C]//Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International. 2011: 1954–1957. doi:10.1109/IGARSS.2011.6049509
岳天祥等. 2017. 地球表层系统模拟分析原理与方法. 北京: 科学出版社.
Qu, Y., Q. Liu, S. L. Liang, L. Z. Wang, N. F. Liu & S. H. Liu (2013). Direct-estimation algorithm for mapping daily land-surface broadband albedo from MODIS data. IEEE. Trans. on Geos. and Remote Sens., doi：10.1109/TGRS.2013.2245670.
李杨，刘艳，张璞，等. 古尔班通古特沙漠NDVI时空变化特征[J]. 干旱区研究. 2009(05): 686-693.
Hu XL, Lu L, Li X, Wang JH, Guo M. Land Use/Cover Change in the Middle Reaches of the Heihe River Basin over 2000-2011 and Its Implications for Sustainable Water Resource Management. PLoS ONE, 2015, 10(6): e0128960. DOI: 10.1371/journal.pone.0128960.
Meng, X.Y., Yu, D.L., LIU, Z.H. (2015). Energy Balance-Based SWAT Model to Simulate the Mountain Snowmelt and Runoff–Taking the Application in Juntanghu Watershed (China) as an Example. Journal of Mountain Sciences, 12(2), 368-381. doi:10.1007/s11629-014-3081-6.
Yongling Sun, Liming Jiang et al. Spatial-Temporal Characteristics of Glacier Velocity in the Central Karakoram Revealed with 1999–2003 Landsat-7 ETM+ Pan Images. Remote Sensing, 2017, 9(10): 1064. DOI:10.3390/rs9101064
Qiu, Y., Xie, P., Matti Leppäranta, Wang, X., Lemmetyinen, J., Lin, H., Shi, L. (2019). Modis-based daily lake ice extent and coverage dataset for Tibetan Plateau. Big Earth Data, 3(2), 170-185.
Wu, B., Zheng, Y.*, Tian, Y., Wu, X., Yao, Y., Han, F., Liu, J., Zheng, C. (2014). Systematic assessment of the uncertainty in integrated surface water-groundwater modeling based on the probabilistic collocation method, Water Resources Research., 50, 5848–5865, doi:10.1002/2014WR015366.

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