Talent details

Name:Xin LI
Title & Affiliation:Ph.D, Professor
Homepage in Chinese:http://sourcedb.itpcas.cas.cn/cn/expert/201806/t20180619_5027698.html
Address:Building 3, Courtyard 16, Lin Cui Road, Chaoyang District, Beijing 100101P.R. China

Education and Appointments

1992-1998, Ph.D. in Physical Geography, Chinese Academy of Sciences
1988-1992, B.S. in GIS and Cartography, Department of Geo and Ocean Sciences, Nanjing University
2018, Professor, Institute of Tibetan Plateau Research, Chinese Academy of Sciences
2014, Distinguished Professor, CAS Center for Excellence in Tibetan Plateau Earth Sciences
2014, Professor, University of Chinese Academy of Sciences
2000-2017, Professor, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences
1999-2000, Research Associate Professor, Lanzhou Institute of Glaciology and Geocryology, Chinese Academy of Sciences

Research Interest

Research Interests: Land data assimilation, application of remote sensing and GIS in hydrology, application of remote sensing and GIS in cryospheric science, integrated watershed study. 

Research Fields: Data Assimilation, Remote Sensing

Selected Publications

Publications in the recent 5 years (2016-2020) (* corresponding author; # joint first authors; Including books and book chapters)
Xin Li has published more than 380 journal articles and authored or coauthored 8 books. Total citations to these publications are 15,000+ and h-index is 61+ (Google scholar). Among these publications, 130 articles and 3 books were published in recent 5 years. The publication of the past 5 years (2016-2020) is shown as below: 
Part 1: 5 representative publications
1. Li, X., Che, T., Li, X.W., Wang, L., Duan, A.M., Shangguan, D.H., Pan, X.D., Fang, M., Bao, Q., 2020. CASEarth Poles: Big data for the Three Poles. Bulletin of the American Meteorological Society, 101(9): E1475-E1491, doi: 10.1175/BAMS-D-19-0280.1.
2. Li, X., Liu, F., Fang, M., 2020. Harmonizing models and observations: Data assimilation in Earth system science. Science China Earth Sciences, 63(8): 1059-1068, doi: 10.1007/s11430-019-9620-x.
3. Li, X., Zhao, N., Jin, R., Liu, S.M., Sun, X.M., Wen, X.F., Wu, D.X., Zhou, Y., Guo, J.W., Chen, S.P., Xu, Z.W., Ma, M.G., Wang, T.M., Qu, Y.H., Wang, X.W., Wu, F.M., Zhou, Y.K., 2019. Internet of Things to network smart devices for ecosystem monitoring. Science Bulletin,  64(17):1234-1245, doi: 10.1016/j.scib.2019.07.004.
4. Li, X., Cheng, G.D., Lin, H., Cai, X.M., Fang, M., Ge, Y.C., Hu, X.L., Chen, M., Li, W.Y., 2018a. Watershed system model: The essentials to model complex human-nature system at the river basin scale. Journal of Geophysical Research: Atmospheres, 123(6): 3019-3034, doi: 10.1002/2017JD028154.
5. Li, X., Cheng, G.D., Ge, Y.C., Li, H.Y., Han, F., Hu, X.L., Tian, W.,  Yong, T., Pan, X.D., Nian, Y.Y., Zhang, Y.L., Ran, Y.H., Zheng, Y., Gao,  B., Yang, D.W., Zheng, C.M., Wang, X.S., Liu, S.M., Cai, X.M., 2018b. Hydrological cycle in the Heihe River Basin and its implication for water resource management in endorheic basins. Journal of Geophysical Research: Atmospheres, 123(2): 890-914, doi: 10.1002/2017JD027889.
Part 2: all other publications (exclude part 1)
Book and Special Issue Edited
1. Li, X., Che, T., Li, X,W., 2020. Remote Sensing of Cryosphere. Beijing: Science Press.
2. Li, X., Vereecken, H., 2019. Ecohydrology: Observation and Measurement of Ecohydrological Processes. Berlin, Heidelberg: Springer,.
3. Cheng, G.D., Li, X., 2018. Integrated watershed model development in the Heihe River Basin. Beijing: Science Press.
4. Li, X., Xie, Z.H., 2019. Water-soil-air-plant-human nexus: Modeling and observing complex land processes. Journal of Geophysical Research: Atmospheres.
5. Wang, L.X., Li, X., 2019. Challenge and Practice of Scientific Data Sharing: A Case Study of the Environmental and Ecological Science Data Center for West China. Beijing: Science Press.
6. Li, X., Yang, K., 2016. Energy balance and water cycle of the oasis-desert system. Agricultural and Forest Meteorology, 230-231, http://www.sciencedirect.com/science/journal/01681923/230
Peer Reviewed Journal Papers (2016-2020)
7. Liu, F., Li, X.*, Zhu, G.F., 2020. Using the contact network model and Metropolis-Hastings sampling to reconstruct the COVID-19 spread on the "Diamond Princess". Science Bulletin, 65(15): 1297-1305, 10.1016/j.scib.2020.04.043.
8. Zhao, Z.B., Li, X.*, Liu, F., Zhu, G.F., Ma, C.F., Wang, L.X., 2020 Prediction of the COVID-19 spread in African countries and implications for prevention and control: A case study in South Africa, Egypt, Algeria, Nigeria, Senegal and Kenya. Science of the Total Environment, 729: 138959, 10.1016/j.scitotenv.2020.138959.
9. Liu, F., Wang, L.X.*, Li, X.*, Huang, C.L., 2020. ComDA: A common software for nonlinear and non-Gaussian land data assimilation. Environmental modelling & Software, 127: 104638, 10.1016/j.envsoft.2020.104638.
10. Wang, H.B., Li, X.*, Tan, J.L., 2020. Interannual variations of evapotranspiration and water use efficiency over an oasis cropland in arid regions of North-Western China. Water, 12(5): 1239, 10.3390/w12051239.
11. Cao, B., Gruber, S., Zheng, D.H.*, Li, X.*, 2020. The ERA5-Land soil temperature bias in permafrost regions. The Cryosphere, 14(8): 2581-2595.
12. Huang, G.H., Li, X., Lu, N., Wang, X.F., He, T., 2020. A general parameterization scheme for the estimation of incident photosynthetically active radiation under cloudy skies. IEEE Transactions on Geoscience and Remote Sensing, 58(9): 6255-6265.
13. Feng, M., Li, X., 2020. Land cover mapping toward finer scales. Science Bulletin, 65(19): 1604-1606, 10.1016/j.scib.2020.06.014.
14. Zhang, L., Li, X., Cao, Y.P., Nan, Z.T., Wang, W.Z., Ge, Y.C., Wang, P.L., Yu, W.J., 2020. Evaluation and integration of the top-down and bottom-up satellite precipitation products over mainland China. Journal of Hydrology, 581: 124456, 10.1016/j.jhydrol.2019.124456.
15. Ma, C.F., Li, X., McCabe, M.F., 2020. Retrieval of high-resolution soil moisture through combination of Sentinel-1 and Sentinel-2 data. Remote Sensing, 12(14): 2303, 10.3390/rs12142303.
16. Nawaz, Z., Li, X., Chen, Y.Y., Wang, X.F., Zhang, K., Nawaz, N., Guo, Y.L., Meerzhan, A., 2020. Spatiotemporal assessment of temperature data products for the detection of warming trends and abrupt transitions over the largest irrigated area of Pakistan. Advances in Meteorology, 2020: 3584030.
17. Ma, H.Q., Ma, C.F., Li, X., Yuan, W.P., Liu, Z.J., Zhu, G.F., 2020. Sensitivity and uncertainty analyses of flux-based ecosystem model towards improvement of forest GPP simulation. Sustainability, 12(7)2584, 10.3390/su12072584.
18. Zhang, M.H., Guo, J.W., Li, X., Jin, R., 2020. Data-driven anomaly detection approach for time-series streaming data. Sensors, 20(19): 5646, 10.3390/s20195646.
19. Kang, J., Jin, R., Li, X., Yang, Z., 2020. Error decomposition of remote sensing soil moisture products based on the triple-collocation method introducing an unbiased reference dataset: A case study on the Tibetan Plateau. Remote Sensing, 2020, 12(18): 3087, 10.3390/rs12183087.
20. Zhang, Y.L., Qing, X., Li, X., Zhao, J., Liu, Y.S., 2020. Estimation of shortwave solar radiation on clear-sky days for a valley glacier with Sentinel-2 time series. Remote Sensing, 12(6): 927, 10.3390/rs12060927.
21. Wang, T.H., Yang, D.W., Yang, Y.T., Piao, S.L., Li, X., Cheng, G.D., Fu, B.J., 2020. Permafrost thawing puts the frozen carbon at risk over the Tibetan Plateau. Science Advances, 6(19): eaaz3513, 10.1126/sciadv.aaz3513.
22. He, J., Yang, K., Tang, W.J., Lu, H., Qin, J., Chen, Y.Y., Li, X., 2020. The first high-resolution meteorological forcing dataset for land process studies over China. Scientific Data, 7: 25, 10.1038/s41597-020-0369-y.
23. Guo, L., Li, J., Li, Z.W., Wu, L.X., Li, X., Hu, J., Li, H.L., Li. H.Y., Miao, Z.L., Li, Z.Q., 2020. The surge of the Hispar Glacier, Central Karakoram: SAR 3-D flow velocity time series and thickness changes. Journal of Geophysical Research: Solid Earth, 125(7): e2019JB018945, 10.1029/2019JB018945.
24. Guo, L., Li, J., Wu, L., Li, Z.W., Liu, Y.Y., Li, X., Miao, Z.L., Wang, W., 2020. Investigating the recent surge in the Monomah Glacier, Central Kunlun Mountain Range with multiple sources of remote sensing data. Remote Sensing, 12(6): 966, 10.3390/rs12060966.
25. Ruehr, S., Lee, X.H., Smith, R., Li, X., Xu, Z.W., Liu, S.M., Yang, X.F., Zhou, Y.Z., 2020. A mechanistic investigation of the oasis effect in the Zhangye cropland in semiarid western China. Journal of Arid Environments, 176: 104120, 10.1016/j.jaridenv.2020.104120.
26. Du, E.H., Tian, Y., Cai, X.M., Zheng, Y., Li, X., Zheng, C.M., 2020. Exploring spatial heterogeneity and temporal dynamics of human-hydrological interactions in large river basins with intensive agriculture: A tightly coupled, fully integrated modeling approach. Journal of Hydrology, 591: 125313, 10.1016/j.jhydrol.2020.125313.
27. Zhou, X., Qin, J., Li, H.D., Tang, W., Pan, X.D., Huang, B., 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(1-2): 419-432, 10.1007/s00704-020-03201-8.
28. Zheng, Y., Tian, Y,. Du, E., Han, F., Wu, Y., Zheng, C., Li, X., 2020. Addressing the water conflict between agriculture and ecosystems under environmental flow regulation: An integrated modeling study. Environmental Modelling & Software, 134: 104874, 10.1016/j.envsoft.2020.104874.
29. 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(8): 1113-1125, 10.1007/s11430-019-9588-5.
30. Ren, S.T., Menenti, M., Jia, L., Zhang, J., Zhang, J.X., Li, X., 2020. Glacier mass balance in the Nyainqentanglha Mountains between 2000 and 2017 retrieved from ZiYuan-3 stereo images and the SRTM DEM. Remote Sensing, 12(5): 864, 10.3390/rs12050864.
31. Sharma, S., Chen, Y.Y., Zhou, X., Yang, K., Li, X., Niu, X.L., Hu, X., Khadka, N., 2020. Evaluation of GPM-era satellite precipitation products on the Southern Slopes of the Central Himalayas against rain gauge data. Remote Sensing, 12(11): 1836, 10.3390/rs12111836.
32. Wang, W., Yang, K., Zhao, L., Zheng, Z., Lu, H., Mamtimin, A., Ding, B.H., Li, X., Zhao, L., Li, H.Y., Che, T., Moore, J.C., 2020. Characterizing surface albedo of shallow fresh snow and its importance for snow ablation on the interior of the Tibetan Plateau. Journal of Hydrometeorology, 21(4): 815-827, 10.1175/JHM-D-19-0193.1.
33. Ye, Z., Xu, Y.S., Huang, R., Tong, X.H., Li, X., Liu, X.F., Luan, K.F., Hoegner, L., Stilla, U., 2020. LASDU: A large-scale aerial LiDAR dataset for semantic labeling in dense urban areas. ISPRS International Journal of Geo-information, 9(7): 450, 10.3390/ijgi9070450.
34. Liao, C.A., Qiu, J.X., Chen, B., Chen, D.L., Fu, B.J., Georgescu, M., He, C.Y., Jenerette, G.D., Li, X., Li, X.Y., Li, X., Qiuying, B., Shi, P.J., Wu, J.G., 2020. Advancing landscape sustainability science: Theoretical foundation and synergies with innovations in methodology, design, and application. Landscape Ecology, 35(1): 1-9, 10.1007/s10980-020-00967-0.
35. Li, D., Yang, K., Tang, W.J., Li, X., Zhou, X., Guo, D.L., 2020. Characterizing precipitation in high altitudes of the western Tibetan Plateau with a focus on major glacier areas. International Journal of Climatology, 10.1002/joc.6509.
36. Koo, H., Iwanaga, T., Croke, B., Jakeman, A.J., Yang, J., Wang, H.H., Sun, X.F., Lu, G.N., Li, X., Yue, T.X., Yuan, W.P., Liu, X.T., Chen, M., 2020. Sensitivity analysis of Spatially Distributed Environmental Models-A pragmatic framework for the exploration of uncertainty sources. Environmental Modelling & Software, 104857, 10.1016/j.envsoft.2020.104857.
37. Che, T., Li, X., Li, X.W., Jiang, L.M., 2020. Developing Cryospheric Remote Sensing, Promoting Scientific Programme of Earth's Three Poles. Bulletin of the Chinese Academy of Sciences, 35(4): 484-493, 10.16418/j.issn.1000-3045.20200323001 (in Chinese with English abstract).
39. Li, X., Xie, Z.H., 2019. Introduction to the water-soil-air-plant-human nexus: Modeling and observing complex land-surface systems at river basin scale. Journal of Geophysical Research: Atmospheres, 124(23): 12375-12379, 10.1029/2019JD031907.
40. Wang, X.F., Xiao, J.F.*, Li, X.*, Cheng, G.D., Ma, M.G., Zhu, G.F., Arain, M.A., Black, A.J., Jassal, R.S., 2019. No trends in spring and autumn phenology during the global warming hiatus. Nature Communications, 10: 2389, 10.1038/s41467-019-10235-8.
41. Che, T., Li, X.*, Liu, S.M., Li, H.Y., Xu, Z.W., Tan, J.L., Zhang, Y., Ren, Z.G., Xiao, L., Deng, J., Jin, R., Ma, M.G., Wang, J., Yang, X.F., 2019. Integrated hydrometeorological, snow and frozen-ground observations in the alpine region of the Heihe River Basin, China. Earth System Science Data, 11(3): 1483-1499, 10.5194/essd-2019-11.
42. Wang, H.B., Li, X.*, Xiao, J.F., Ma, M.G., Tan, J.L., Wang, X.F., Geng, L.Y., 2019. Carbon fluxes across alpine, oasis, and desert ecosystems in northwestern China: The importance of water availability. Science of the Total Environment, 697: 133978, 10.1016/j.scitotenv.2019.133978.
43. Zhou, Y.Z., Li, D.*, Li, X.*, 2019. The effects of surface heterogeneity scale on the flux imbalance under free convection. Journal of Geophysical Research: Atmospheres, 124(15): 8424-8448, 10.1029/2018JD029550.
44. Zhou, Y.Z., Li, X.*, 2019. Energy balance closures in diverse ecosystems of an endorheic river basin. Agricultural and Forest Meteorology, 274: 118-131, 10.1016/j.agrformet.2019.04.019.
45. Li, G.S., Li, X.*, Yao, T.D., Che, T., Yang, H., Ma, M.G., Zhao, H.P., Pan, X.D., 2019. Heterogeneous sea-level rises along coastal zones and small islands. Science Bulletin, 64(11): 748-755, 10.1016/j.scib.2019.04.023.
46. Ran, Y.H., Li, X.*, 2019. TanSat: A new star in global carbon monitoring from China. Science Bulletin, 64(5): 284-285, 10.1016/j.scib.2019.01.019.
47. Guo, Y.L., Li, X.*, Zhao, Z.F., Nawaz, Z., 2019. Predicting the impacts of climate change, soils and vegetation types on the geographic distribution of Polyporus umbellatus in China. Science of the Total Environment, 648: 1-11, 10.1016/j.scitotenv.2018.07.465.
48. Ma, C.F., Li, X.*, Chen, K.S., 2019. The discrepancy between backscattering model simulations and radar observations caused by scaling issues: An uncertainty analysis. IEEE Transactions on Geoscience and Remote Sensing, 57(8): 5356-5372, 10.1109/TGRS.2019.2899120.
49. Wang, H.B., Li, X.*, Ma, M.G., Geng, L.Y., 2019. Improving estimation of gross primary production in dryland ecosystems by a model-data fusion approach. Remote Sensing, 11(3): 225, 10.3390/rs11030225.
50. Wang, L.L., Li, X.*, Ma, C.F., Bai, Y.L., 2019. Improving the prediction accuracy of monthly streamflow using a data-driven model based on a double-processing strategy. Journal of Hydrology, 573: 733-745, 10.1016/j.jhydrol.2019.03.101.
51. Zhang, M.H., Li, X.*, Wang, L.L., 2019. An adaptive outlier detection and processing approach towards time series sensor data. IEEE Access, 7(1): 175192-175212, 10.1109/ACCESS.2019.2957602.
52. Fang, M., Li, X., 2019. An artificial neural networks-based tree ring width proxy system model for paleoclimate data assimilation. Journal of Advances in Modeling Earth Systems, 11(4): 892-904, 10.1029/2018MS001525.
53. Li, H.Y., Li, X., Yang, D.W., Wang, J., Gao, B., Pan, X.D., Zhang, Y.L., Hao, X.H., 2019. Tracing snowmelt paths in an integrated hydrological model for understanding seasonal snowmelt contribution at basin scale. Journal of Geophysical Research: Atmospheres, 124(16): 8874-8895, 10.1029/2019JD030760.
54. Zheng, D.H., Li, X., Wang, X., Wang, Z.L., Wen, J., van der Velde, R., Schwank, M., Su, Z.B., 2019. Sampling depth of L-band radiometer measurements of soil moisture and freeze-thaw dynamics on the Tibetan Plateau. Remote Sensing of Environment, 226: 16-25, 10.1016/j.rse.2019.03.029.
55. Huang, G.H., Li, Z.Q., Li, X., Liang, S.L., Yang, K., Wang, D.D., Zhang, Y., 2019. Estimating surface solar irradiance from satellites: Past, present, and future perspectives. Remote Sensing of Environment, 233: 111371, 10.1016/j.rse.2019.111371.
56. Huang, G.W., Liu, H., Li, X., Ma, M.G., 2019. Exploring drivers of nitrate contamination of drinking water in an arid region of China. Journal of Environmental Informatics, 33(2): 105-112, 10.3808/jei.201900409.
57. Nawaz, Z., Li, X., Chen, Y.Y., Guo, Y.L., Wang, X.F., Nawaz, N., 2019. Temporal and spatial characteristics of precipitation and temperature in Punjab, Pakistan. Water, 11(9): 1916, 10.3390/w11091916.
58. Rizwan, M., Li, X., Jamal, K., Chen, Y.Y., Chauhdary, J.N., Zheng, D.H., Anjum, L., Ran, Y.H., Pan, X.D., 2019. Precipitation variations under a changing climate from 1961–2015 in the source region of the Indus River. Water, 11(7): 1366, 10.3390/w11071366.
59. Tang, W.J., Yang, K., Qin, J., Li, X., Niu, X.L., 2019. A 16-year dataset (2000-2015) of high-resolution (3 hour, 10 km) global surface solar radiation. Earth System Science Data, 11(4): 1905-1915, 10.5194/essd-11-1905-2019.
60. Chen, F.H., Fu, B.J., Xia, J., Wu, D., Wu, S.H., Zhang, Y.L., Sun, H., Liu, Y., Fang, X.M., Qin, B.Q., Li, X., Zhang, T.J., Liu, B.Y., Dong, Z.B., Hou, S.G., Tian, L.D., Xu, B.Q., Dong, G.H., Zheng, J.Y., Yang, W., Wang, X., Li, Z.J., and other coauthors, 2019. Major advances in studies of the physical geography and living environment of China during the past 70 years and future prospects. Science China Earth Sciences, 62(11): 1665-1701, 10.1007/s11430-019-9522-7.
61. Li, W.Y., He, X.G., Scaioni, M., Yao, D.J., Mi, C.R., Zhao, J., Chen, Y., Zhang, K.H., Gao, J., Li, X., 2019. Annual precipitation and daily extreme precipitation distribution: Possible trends from 1960 to 2010 in urban areas of China . Geomatics, Natural Hazards and Risk, 10(1): 1694-1711, 10.1080/19475705.2019.1609604.
62. Li, W.Y., He, X.G., Sun, W.W., Sacioni, M., Yao, D.J., Fu, J., Chen, Y., Liu, B., Gao, J., Li, X., Cheng, G.D., 2019. Evaluating three satellite-based precipitation products of different spatial resolutions in Shanghai based on upscaling of rain gauge. International Journal of Remote Sensing, 40(15): 5875-5891, 10.1080/01431161.2019.1584686.
63. Li, W.Y., Sun, W.W., He, X.G., Sacioni, M., Yao, D.J., Chen, Y., Gao, J., Li, X., Cheng, G.D., 2019. Improving CHIRPS daily satellite-precipitation products using coarser ground observations. IEEE Geoscience and Remote Sensing Letters, 16(11): 1678-1682, 10.1109/LGRS.2019.2907532.
64. Li, W.Y., Zhao, M., Scaioni, M., Hosseini, S.R., Wang, X., Yao, D., Zhang, K., Gao, J., Li, X., 2019. Extreme rainfall trends of 21 typical urban areas in China during 1998–2015 based on remotely sensed data sets. Environmental Monitoring and Assessment, 191(12): 709, 10.1007/s10661-019-7900-7.
65. Li, X., Gou, X.H., Wang, N.L., Sheng, Y., Jin, H.J., Qi, Y., Song, X.Y., Hou, F.J., Li, Y., Zhao, C.M., Zou, S.B., Wang, H.W., Zheng, D.H., Chen, Y.Y., Niu, X.L., 2019. Tightening ecological management facilitates green development in the Qilian Mountains. Chinese Science Bulletin, 64(27): 2928-2937, 10.1360/TB-2019-0209 (in Chinese with English abstract).
66. Cheng, G.D., Zhao, L., Li, R., Wu, X.D., Sheng, Y., Hu, G.J., Zou, D.F. Jin, H.J., Li, X., Wu, Q.B., 2019. Characteristic, changes and impacts of permafrost on Qinghai-Tibet Plateau. Chinese Science Bulletin, 64(27): 2783-2795, 10.1360/TB-2019-0191 (in Chinese with English abstract).
67. Ran, Y.H., Li, X., 2019. Progress, Challenges and Opportunities of Permafrost Mapping in China. Advances in Earth Science, 34(10): 1015-1027, 10.11867/j.issn.1001-8166.2019.10.1015 (in Chinese with English abstract).
68. Ran, Y.H., Li, X.*, Cheng, G.D., 2018. Climate warming over the past half century has led to thermal degradation of permafrost on the Qinghai–Tibet Plateau. The Cryosphere, 12(2): 595-608, 10.5194/tc-12-595-2018.
69. Zhou, Y.Z., Li, X.*, Yang, K., Zhou, J., 2018. Assessing the impacts of an ecological water diversion project on water consumption through high-resolution estimations of actual evapotranspiration in the downstream regions of the Heihe River Basin, China. Agricultural and Forest Meteorology, 249: 210-227, 10.1016/j.agrformet.2017.11.011.
70. Wang, L.L., Li, X.*, Bai, Y.L., 2018. Short-term wind speed prediction using an extreme learning machine model with error correction. Energy Conversion and Management, 162: 239-250, 10.1016/j.enconman.2018.02.015.
71. Guo, Y.L., Li, X.*, Zhao, Z.F., Wei, H.Y., 2018. Modeling the distribution of Populus euphratica in the Heihe River Basin, an inland river basin in an arid region of China. Science China Earth Sciences, 61(11): 1669-1684, 10.1007/s11430-017-9241-2. 
72. Hu, X.L., Li, X.*, Lu, L., 2018. Modeling the land use change in an arid oasis constrained by water resources and environmental policy change using cellular automata models. Sustainability, 10(8): 2878, 10.3390/su10082878.
73. Zhou, Y.Z., Li, D., Liu, H.P., Li, X.*, 2018. Diurnal variations of the flux imbalance over homogeneous and heterogeneous landscapes. Boundary-Layer Meteorology, 168(3): 417-442, 10.1007/s10546-018-0358-2.
74. Liu, S.M., Li, X., Xu, Z.W., Che, T., Xiao, Q., Ma, M.G., Liu, Q.H., Jin, R., Guo, J.W., Wang, L.X., Wang, W.Z., Qi, Y., Li, H.Y., Xu, T.R., Ran. Y.H., Hu. X.L., Shi. S.J., Zhu, Z.L., Tan, J.L., Zhang, Y., Ren, Z.G., 2018. The Heihe integrated observatory network: A basin-scale land surface processes observatory in China. Vadose Zone Journal, 17(1): 180072, 10.2136/vzj2018.04.0072.
75. Zhang, Y.L., Li, X., Cheng, G.D., Jin, H.J., Yang, D.W., Flerchinger, G.N., Chang, X.L., Wang, X., Liang, J., 2018. Influences of topographic shadows on the thermal and hydrological processes in a cold region mountainous watershed in northwest China. Journal of Advances in Modeling Earth Systems, 10(7): 1439-1457, 10.1029/2017MS001264.
76. Ge, Y.C., Li, X., Cai, X.M., Deng, X.Z., Wu, F., Li, Z.Y., Luan, W.F., 2018. Converting UN Sustainable Development Goals (SDGs) to decision-making objectives and implementation options at the river basin scale. Sustainability, 10(4): 1056, 10.3390/su10041056.
77. Zhu, G.F., Li, X., Ma, J.Z., Wang, Y.Q., Liu, S.M., Huang, C.L., Zhang, K., Hu, X.L., 2018. A new moving strategy for the sequential Monte Carlo approach in optimizing the hydrological model parameters. Advances in Water Resources, 114: 164-179, 10.1016/j.advwatres.2018.02.007.
78. Wu, X.J., Che, T., Li, X., Wang, N.L., Yang, X.F., 2018. Slower snowmelt in spring along with climate warming across the Northern Hemisphere. Geophysical Research Letters, 45(22): 12331-12339, 10.1029/2018GL079511.
79. Kang, J., Tan, J.L., Jin, R., Li, X., Zhang, Y., 2018. Reconstruction of MODIS land surface temperature products based on multi-temporal information. Remote Sensing, 10(7): 1112, 10.3390/rs10071112.
80. Kang, J., Jin, R., Li, X., Zhang, Y., Zhu, Z.L., 2018. Spatial upscaling of sparse soil moisture observations based on ridge regression. Remote Sensing, 10(2): 192, 10.3390/rs10020192.
81. Rizwan, M., Bakhsh, A., Li, X., Anjum, L., Jamal, K., Hamid, S., 2018. Evaluation of the impact of water management technologies on the water saving in the Lower Chenab Canal Command Area, Indus River Basin. Water, 10(6): 681, 10.3390/w10060681.
82. Luan, W.F., Lu, L., Li, X., Ma, C.F., 2018. Integrating Extended Fourier Amplitude Sensitivity Test and Set Pair Analysis for sustainable development evaluation from the view of uncertainty analysis. Sustainability, 10(7): 2435, 10.3390/su10072435.
83. Bogena, H., White, T., Bour, O., Li, X., Jensen, K.H., 2018. Toward better understanding of terrestrial processes through long-term hydrological observatories. Vadose Zone Journal, 17(1): 180194, 10.2136/vzj2018.10.0194.
84. Tian, Y., Zheng, Y., Han, F., Zheng, C.M., Li, X., 2018. A comprehensive graphical modeling platform designed for integrated hydrological simulation. Environmental Modelling & Software, 108: 154-173, 10.1016/j.envsoft.2018.08.011.
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