Researcher
Name:
Xin LI
Title:
Professor
Tel:
010-84249063
Email:
xinli@itpcas.ac.cn
Address:
Building 3, Courtyard 16, Lin Cui Road, Chaoyang District, Beijing 100101P.R. China
Education and Appointments
Education 
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
Appointments
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 8 years (2016-2023) (* corresponding author; Including books and book chapters)

Xin Li has published more than 500 journal articles and authored or coauthored 12 books. Total citations to these publications are 26,000+ (SCI citations are 14,000+)and h-index is 75+. Among these publications, 236 articles and 6 books were published in recent 8 years. The publication of the past 8 years (2016-2023) is shown as below:

Part 1: 10 representative publications

1. Li, X.*, Feng, M.*, Ran, Y.H., Su, Y., Liu, F., Huang, C.L., Shen, H.F., Xiao, Q., Su, J.B., Yuan, S.W., Guo, H.D. Big Data in Earth system science and progress towards a digital twin. Nature Reviews Earth & Environment, 2023, 4(5): 319-332, doi: 10.1038/s43017-023-00409-w.

2. Li, X.*, Cheng, G.D., Fu, B.J., Xia, J., Zhang, L., Yang, D.W., Zheng, C.M., Liu, S.M., Li, X.B., Song, C.Q., Kang, S.Z., Li, X.Y., Che, T., Zheng, Y., Zhou, Y.Z., Wang, H.B., Ran, Y.H. Linking critical zone with watershed science: The example of the Heihe River basin. Earth's Future, 2022, 10(11): e2022EF002966, doi: 10.1029/2022EF002966.

3. Fang, M., Li, X.*, Chen, H.W.*, Chen, D. Arctic amplification modulated by Atlantic Multidecadal Oscillation and greenhouse forcing on multidecadal to century scales. Nature Communications, 2022, 13(1): 1865, doi: 10.1038/s41467-022-29523-x.

4. Li, X.*, Cheng, G.D., Wang, L.X., Wang, J.L., Ran, Y.H., Che, T., Li, G.Q., He, H.L., Zhang, Q., Jiang, X.Y., Zou, Z.M., Zhao, G.F. Boosting geoscience data sharing in China. Nature Geoscience, 2021, 14(8): 541-542, doi: 10.1038/s41561-021-00808-y.

5. Li, X.*, Liu, F., Fang, M. Harmonizing models and observations: Data assimilation in Earth system science. Science China Earth Sciences, 2020, 63(8): 1059-1068, doi: 10.1007/s11430-019-9620-x.

6. Li, X.*, Che, T., Li, X.W., Wang, L., Duan, A.M., Shangguan, D.H., Pan, X.D., Fang, M., Bao, Q. CASEarth Poles: Big data for the Three Poles. Bulletin of the American Meteorological Society, 2020, 101(9): E1475-E1491, doi: 10.1175/BAMS-D-19-0280.1.

7. Li, X.*, Cheng, G.D., Lin, H., Cai, X.M., Fang, M., Ge, Y.C., Hu, X.L., Chen, M., Li, W.Y. Watershed system model: The essentials to model complex human-nature system at the river basin scale. Journal of Geophysical Research: Atmospheres, 2018, 123(6): 3019-3034, doi: 10.1002/2017JD028154.

8. Li, X.*, Cheng, G.D., Ge, Y.C., Li, H.Y., Han, F., Hu, X.L., Tian, W., Tian, Y., 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. Hydrological cycle in the Heihe River Basin and its implication for water resource management in endorheic basins. Journal of Geophysical Research: Atmospheres, 2018, 123(2): 890-914, doi: 10.1002/2017JD027889.

9. Ran, Y.H., Li, X.*, Cheng, G.D. Climate warming over the past half century has led to thermal degradation of permafrost on the Qinghai–Tibet Plateau. The Cryosphere, 2018, 12(2): 595-608, doi: 10.5194/tc-12-595-2018.

10. Li, X.*, Liu, S.M., Xiao, Q., Ma, M.G., Jin, R., Che, T., Wang, W.Z., Hu, X.L., Xu, Z.W., Wen, J.G., Wang, L.X. A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system. Scientific Data, 2017, 4: 170083, doi: 10.1038/sdata.2017.83.

Part 2: all other publications (exclude part 1)

Book and Special Issue Edited

1. Li, X., Liu, S.M., Liu, Q.H., Xiao, Q., Ma, M.G., Jin, R., Che, T., Guo, J.W., Ran, Y.H., Wang, W.Z., Qi, Y., 2022. Heihe River ecohydrological remote sensing experiment. Beijing: Science Press.

2. Li, X., Qi, Y., Song, X.Y., 2022. Changes and impacts of human activities in Qilian Mountains. Beijing: Science Press.

3. Li, X., Che, T., Duan, A.M., Li, X.W., Wang, L., Zhang, Y.J., Shangguan, D.Y., 2021. Earth's three poles: Outposts of global changes. Beijing: Science Press.

4. Li, X., Che, T., Li, X,W., 2020. Remote sensing of cryosphere. Beijing: Science Press.

5. Li, X., Vereecken, H., 2019. Ecohydrology: Observation and measurement of ecohydrological processes. Berlin, Heidelberg: Springer.

6. Cheng, G.D., Li, X., 2019. Integrated watershed model development in the Heihe River Basin. Beijing: Science Press.

7. Carlson, D., Sparrow, M., Li, X., Feng, M., Che, T., 2021. Extreme environment datasets for the three poles. Earth System Science Data. https://essd.copernicus.org/articles/special_issue1144.html

8. Li, X., Xie, Z.H., Cai, X.M., Luo, L.F., 2018. Water-soil-air-plant-human nexus: Modeling and observing complex land-surface systems at river basin scale. Journal of Geophysical Research: Atmospheres. https://agupubs.onlinelibrary.wiley.com/doi/toc/10.1002/(ISSN)2169-8996.WSAPH1

9. 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 (2016-2023)

1.Li, X*., 2023. Big Earth Data boost UN SDGs. Science Bulletin, 68(8): 773-774, doi: 10.1016/j.scib.2023.03.045.

2. Zhang, M., Zhou, Y.Z., Li, X.*, Sun, Z.Y., Yang, G.Q., Xie, Z.H., 2023. Quantifying the contributions of regional human activities and global climate change to the regional climate in a typical mountain-oasis-desert system of arid central Asia from 1979 to 2018. Journal of Geophysical Research: Atmospheres, 128(1): e2022JD037110, doi: 10.1029/2022JD037110.

3. Guo, Y.L., Zhao, Z.F., Yuan, S.W., Li, X.*, 2023. A greener Loess Plateau in the future: moderate warming will expand the potential distribution areas of woody species. Environmental Research Letters, 18(3): 034027, doi: 10.1088/1748-9326/acb9a8.

4. Rizwan, M., Li, X., Chen, Y., Anjum, L., Hamid, S., Yamin, M., Chauhdary, J.N., Shahid, M.A., Mehmood, Q., 2023. Simulating future flood risks under climate change in the source region of the Indus River. Journal of Flood Risk Management, 16(1): e12857, doi: 10.1111/JFR3.12857.

5. Bai, X.J., Zheng, D.H., Li, X., Wigneron, J.-P., Van Der Velde, R., Zhang, P., Su, Z.B., 2023. Simulation of SMAP and AMSR2 observations and estimation of multi-frequency vegetation optical depth using a discrete scattering model in the Tibetan grassland. Remote Sensing of Environment, 292: 113592, doi: 10.1016/j.rse.2023.113592.

6. Su, Y., Ran, Y.H., Zhang, G.Q., Li, X., 2023. Remotely sensed lake area changes in permafrost regions of the Arctic and the Tibetan Plateau between 1987 and 2017. Science of the Total Environment, 880: 163355, doi: 10.1016/j.scitotenv.2023.163355.

7. Zhang, Z., Poulter, B., Feldman, A.F., Ying, Q., Ciais, P., Peng, S.S., Li, X., 2023. Recent intensification of wetland methane feedback. Nature Climate Change, 13(5): 430-433, doi: 10.1038/S41558-023-01629-0.

8. Zhou, Y.Z., Sühring, M., Li, X., 2023. Evaluation of energy balance closure adjustment and imbalance prediction methods in the convective boundary layer – A large eddy simulation study. Agricultural and Forest Meteorology, 333: 109382, doi: 10.1016/J.AGRFORMET.2023.109382.

9. Zhou, Y.Z., Ran, Y.H., Li, X., 2023. The contributions of different variables to elevation-dependent land surface temperature changes over the Tibetan Plateau and surrounding regions. Global and Planetary Change, 220: 104010, doi: 10.1016/J.GLOPLACHA.2022.104010.

10. Zhan, C., Chen, Y., Yang, K., Lazhu, Zhou, X., Jiang, Y., Ling, X., Tian, J., Wang, Y., Li, X., Yang, H., 2023. First evaluation of GPM-Era satellite precipitation products with new observations on the western Tibetan Plateau. Atmospheric Research, 283: 106559, doi: 10.1016/J.ATMOSRES.2022.106559.

11. Wang, L., Zhang, F., Wang, G.X., Zeng, C., Chen, Y., Shi, X.N., Tang, H.D., Zhao, G.J., Xu, C.Y., Li, X., 2023. Response of Soil Erosion to Climate and Subsequent Vegetation Changes in a High-Mountain Basin. Sustainability, 15(4): 3220, doi: 10.3390/SU15043220.

12. Tang, W.J., Xu, S., Zhou, X., Yang, K., Wang, Y., Qin, J., Wang, H.K., Li, X., 2023. Meeting China’s electricity demand with renewable energy over Tibetan Plateau. Science Bulletin, 68(1): 39-42, doi: 10.1016/J.SCIB.2022.12.012.

13. Sun, J., Yang, K., Lu, H., Zhou, X., Li, X., Chen, Y., Guo, W., Wright, J.S., 2023. Land–Atmosphere Feedbacks Weaken the Cooling Effect of Soil Organic Matter Property toward Deep Soil on the Eastern Tibetan Plateau. Journal of Hydrometeorology, 24(1): 105-117, doi: 10.1175/JHM-D-22-0074.1.

14. Fan, L., Wigneron, J.-P., Ciais, P., Chave, J., Brandt, M., Sitch, S., Yue, C., Bastos, A., Li, X., Qin, Y.W., Yuan, W.P., Schepaschenko, D., Mukhortova, L., Li, X.J., Liu, X.Z., Wang, M.J., Frappart, F., Xiao, X.M., Chen, J.M., Ma, M.G., Wen, J.G., Chen, X.Z., Yang, H., Van Wees, D., Fensholt, R., 2023. Siberian carbon sink reduced by forest disturbances. Nature Geoscience, 16(1): 56-62, doi: 10.1038/S41561-022-01087-X.

15. Liu, F., Nie, X.W., Wu, A.D., Zhao, Z.B., Ma, C.F., Ning, L.J., Zhu, Y.J., Wang, L.X., Guo, X.J., Li, X., 2023. Data assimilation method for improving the global spatiotemporal predictions of epidemic dynamics yielded by an ensemble Kalman filter and Metropolis–Hastings sampling. Nonlinear Dynamics, doi: 10.1007/s11071-023-08632-2.

16. Jiang, Y.Z., Yang, K., Qi, Y.C., Zhou, X., He, J., Lu, H., Li, X., Chen, Y.Y., Li, X.D., Zhou, B.R., Mamtimin, A., Shao, C.K., Ma, X.G., Tian, J.X., Zhou, J.H., 2023. TPHiPr: a long-term (1979-2020) high-accuracy precipitation dataset (1/30 degrees, daily) for the Third Pole region based on high-resolution atmospheric modeling and dense observations. Earth System Science Data, 15(2): 621-638, doi: 10.5194/ESSD-15-621-2023.

17. Li, X.*, Liu, S.M., Liu, Q.H., Xiao, Q., Che, T., Ma, M.G., Jin, R., Ran, Y.H., Wen, J.G., Xu, Z.W., Li, Z.Y., 2023. Heihe remote sensing experiments: Retrospect and prospect. National Remote Sensing Bulletin, 27(2): 224-248, doi: 10.11834/jrs.20235013 (in Chinese with English abstract).

18. Li, X.*, Zheng, D.H., Feng, M., Chen, F.H., 2022. Information geography: The information revolution reshapes geography. Science China Earth Sciences, 65(2): 379-382, doi: 10.1007/s11430-021-9857-5.

19. Li, X.*, Yuan, L.W., Pei, T., Huang, X., Liu, G., Zheng, D.H., 2022. Disciplinary structure and development strategy of information geography in China. Journal of Geographical Sciences, 32(9): 1670-1682, doi: 10.1007/s11442-022-2017-2.

20. Zhou, Y.S., Li, X.*, Zheng, D.H.*, Li, Z.W., 2022. Evolution of geodetic mass balance over the largest lake-terminating glacier in the Tibetan Plateau with a revised radar penetration depth based on multi-source high-resolution satellite data. Remote Sensing of Environment, 275: 113029, doi: 10.1016/j.rse.2022.113029.

21. Ge, Y.C.*, Li, X.*, Cheng, G.D., Fu, B.J., Liu, J.G., Gao, L., Zhong, F.L., Zhang, L., Wang, S.T., 2022. What dominates sustainability in endorheic regions? Science Bulletin, 67(16): 1636-1640, doi: 10.1016/j.scib.2022.07.009.

22. Liu, F., Zhao, Z.B., Li, X.*, 2022. Quantifying the representativeness errors caused by scale transformation of remote sensing data in stochastic ensemble data assimilation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15: 1968-1980, doi: 10.1109/JSTARS.2022.3149957.

23. Liu, F., Zhao, Z.B., Ma, C.F., Nie, X.W., Wu, A.D., Li, X.*, 2022. Return to normal pre-COVID-19 life is delayed by inequitable vaccine allocation and SARS-CoV-2 variants. Epidemiology and Infection, 150: e46, doi: 10.1017/S0950268822000139.

24. Zhang, L.*, Zheng, D.H., Zhang, K., Chen, H., Ge, Y.C., Li, X.*, 2022. Divergent trends in irrigation-water withdrawal and consumption over mainland China. Environmental Research Letters, 17(9): 094001, doi: 10.1088/1748-9326/ac8606.

25. Zhang, M.H., Zhang, L.X., Zhao, C.M., Jin, R., Guo, J.W., Li, X.*, 2022. Fetching ecosystem monitoring data in extreme areas via a drone-enabled Internet of Remote Things. IEEE Internet of Things Journal, 9(24): 25052-25067, doi: 10.1109/JIOT.2022.3195302.

26. Ma, C.F., Li, X.*, Zhao, Z.B., Liu, F., Zhang, K., Wu, A.D., Nie, X.W., 2022. Understanding dynamics of pandemic models to support predictions of COVID-19 transmission: Parameter sensitivity analysis of SIR-type models. IEEE Journal of Biomedical and Health Informatics, 22(6): 2458-2468, doi: 10.1109/JBHI.2022.3168825.

27. Zhu, F.X., Li, X.*, Qin, J., Kun, Y., Cuo, L., Tang, W.J., Shen, C.P., 2022. Integration of multisource data to estimate downward longwave radiation based on deep neural networks. IEEE Transactions on Geoscience and Remote Sensing, 60: 4103015, doi: 10.1109/TGRS.2021.3094321.

28. Zhou, Y.Z., Liao, W.L., Li, X.*, 2022. The contributions of individual factors to the oasis cold island effect intensity in the Heihe River Basin. Agricultural and Forest Meteorology, 312: 108706, doi: 10.1016/j.agrformet.2021.108706.

29. Zhou, Y.S., Li, X.*, Zheng, D.H., Zhang, X.L., Wang, Y.Z., Ren, S.S., Guo, Y.L., 2022. Decadal changes in glacier area, surface elevation and mass balance for 20002020 in the eastern Tanggula mountain using optical images and TanDEM-X radar data. Remote Sensing, 14(3): 506, doi: 10.3390/rs14030506.

30. Zhang, K., Li, X.*, Zheng, D.H.*, Zhang, L., Zhu, G.F., 2022. Estimation of global irrigation water use by the integration of multiple satellite observations. Water Resources Research, 58(3): e2021WR030031, doi: 10.1029/2021WR030031.

31. Wang, L.L.*, Guo, Y.L., Fan, M.H., Li, X.*, 2022. Wind speed prediction using measurements from neighboring locations and combining the extreme learning machine and the AdaBoost algorithm. Energy Reports, 8: 1508-1518, doi: 10.1016/j.egyr.2021.12.062.

32. Wang, B., Li, X.*, Ma, C.F., Zhu, G.F.*, Luan, W.F., Zhong, J.T., Tan, M.B., Fu, J., 2022. Uncertainty analysis of ecosystem services and implications for environmental management – An experiment in the Heihe River Basin, China. Science of The Total Environment, 81: 153481, doi: 10.1016/j.scitotenv.2022.153481.

33. Ma, C.F., Li, X.*, Wang, S.G., Wang, Z.Y., Che, T., Jin, R., Wang, W.Z., 2022. Quantifying uncertainties in passive microwave remote sensing of soil moisture via a Bayesian probabilistic inversion method. IEEE Transactions on Geoscience and Remote Sensing, 60: 4406918, doi: 10.1109/TGRS.2021.3123464.

34. Hu, X.L., Liu, F., Qi, Y., Zhang, J.L., Li, X.*, 2022. A novel strategy to assimilate category variables in land-use models based on Dirichlet distribution. Environmental Modelling & Software, 149: 105324, doi: 10.1016/j.envsoft.2022.105324.

35. Guo, Y.L., Zhao, Z.F., Zhu, F.X., Li, X.*, 2022. Climate change may cause distribution area loss for tree species in southern China. Forest Ecology and Management, 511: 120134, doi: 10.1016/j.foreco.2022.120134.

36. Chen, F.H., Li, X., Wu, S.H., Fan, J., Xiong, J.H., Zhang, G.Y., 2022. Disciplinary structure of geographic science in China. Journal of Geographical Sciences, 32(9): 1637-1641, doi: 10.1007/S11442-022-2014-5.

37. Ren, S.S., Li, X., Wang, Y.Z., Zheng, D.H., Jiang, D.C., Nian, Y.Y., Zhou, Y.S., 2022. Multitemporal Glacier Mass Balance and Area Changes in the Puruogangri Ice Field during 1975-2021 Based on Multisource Satellite Observations. Remote Sensing, 14(16): 4078. doi: 10.3390/RS14164078.

38. Ran, Y.H., Li, X., Che, T., Wang, B.Q., Cheng, G.D., 2022. Current state and past changes in frozen ground at the Third Pole: A research synthesis. Advances in Climate Change Research, 13(5): 632-641, doi: 10.1016/J.ACCRE.2022.09.004.

39. Wang, B., Li, X., Zhu, G.F., Huang, C.L., Ma, C.F., Tan, M.B., Zhong, J.T., 2022. Evaluating the impact of dynamic changes in grasslands on the critical ecosystem service value of Yanchi County in China from 2000 to 2015. Sustainability, 14(19): 11762, doi: 10.3390/SU141911762.

40. Xu, D., Li, X., Lafortezza, R., 2022. Employers-stop discrimination against people who've had COVID-19. Nature, 608: 667-667, doi: 10.1038/D41586-022-02242-5.

41. Yang, X.M., Li, X., Wang, X.F., Ding, F., Chen, F., Wang, J.R., Zhang, X.J., Zhang, Y.J., 2022. Meta-analysis of the correlation between vegetation and precipitation in the temperate deserts of the Northern Hemisphere over the last 40 years. Ecological Indicators, 142: 109269, doi: 10.1016/J.ECOLIND.2022.109269.

42. Zheng, D.H., Li, X., Wen, J., Hofste, J.G., Van Der Velde, R., Wang, X., Wang, Z.L., Bai, X.J., Schwank, M., Su, Z.B., 2022. Active and passive microwave signatures of diurnal soil freeze-thaw transitions on the Tibetan Plateau. IEEE Transactions on Geoscience and Remote Sensing, 60: 4301814, doi: 10.1109/TGRS.2021.3092411.

43.Ran, Y.H., Li, X., Cheng, G.D., Che, J.X., Aalto, J., Karjalainen, O., Hjort, J., Luoto, M., Jin, H.J., Obu, J., Hori, M., Yu, Q.H., Chang, X.L., 2022. New high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the Northern Hemisphere. Earth System Science Data, 14(2): 865-884, doi: 10.5194/ESSD-2021-83.

44. Bai, X.J., Zheng, D.H., Liu, X.Z., Fan, L., Zeng, J.Y., Li, X., 2022. Simulation of Sentinel-1A observations and constraint of water cloud model at the regional scale using a discrete scattering model. Remote Sensing of Environment, 283: 113308, doi: 10.1016/J.RSE.2022.113308.

45. Chen, W.J., Thorslund, J., Nover, D.M., Rains, M.C., Li, X., Xu, B., He, B., Su, H., Yen, H., Liu, L., Yuan, H.L., Jarsj?, J., Viers, H., 2022. A typological framework of non-floodplain wetlands for global collaborative research and sustainable use. Environmental Research Letters, 17: 113002, doi: 10.1088/1748-9326/AC9850.

46. Chen, Y.Y., Zhang, M.H., Li, X., Che, T., Jin, R., Guo, J.W., Yang, W., An, B.S., Nie, X.W., 2022. Satellite-enabled internet of remote things network transmits field data from the most remote areas of the Tibetan Plateau. Sensors, 22(10): 3713, doi: 10.3390/s22103713.

47. Ehlers, T., Chen, D.L., Appel, E., Bolch, T., Chen, F.H., Diekmann, B., Dippold, M., Giese, M., Guggenberger, G., Lai, H.W., Li, X., Liu, J.G., Liu, Y.Q., Ma, Y.M., Miehe, G., Mosbrugger, V., Mulch, A., Piao, S.L., Schwalb, A., Thompson, L., 2022. Past, present, and future geo-biosphere interactions on the Tibetan Plateau and implications for permafrost. Earth-Science Reviews, 234: 104197, doi: 10.1016/J.EARSCIREV.2022.104197.

48. Ge, Y., Ma, T., Pei, T., Weng, H.X., Li, X., Zhang, X.N., 2022. Progress of big geodata. Science Bulletin, 67(17): 1739-1742, doi: 10.1016/J.SCIB.2022.07.022.

49. Huang, L., Hock, R., Li, X., Bolch, T., Yang, K., Wang, N.L., Yao, T.D., Zhou, J.M., Dou, C.Y., Li, Z., 2022. Winter accumulation drives the spatial variations in glacier mass balance in High Mountain Asia. Science Bulletin, 67(19): 1967-1970, doi: 10.1016/J.SCIB.2022.08.019.

50. Ji, F., Fan, L.F., Kuang, X.X., Li, X., Cao, B., Cheng, G.D., Yao, Y.Y., Zheng, C.M., 2022. How does soil water content influence permafrost evolution on the Qinghai-Tibet Plateau under climate warming? Environmental Research Letters, 17(6): 064012, doi: 10.1088/1748-9326/AC6C9A.

51. Jiang, Y.Z., Yang, K., Li, X.D., Zhang, W.J., Shen, Y., Chen, Y.Y., Li, X., 2022. Atmospheric simulation-based precipitation datasets outperform satellite-based products in closing basin-wide water budget in the eastern Tibetan Plateau. International Journal of Climatology, 42(14): 7252-7268, doi: 10.1002/JOC.7642.

52. Lazhu, Yang, K., Qin, J., Hou, J.Z., Lei, Y.B., Wang, J.B., Huang, A.N., Chen, Y.Y., Ding, B.H., Li, X., 2022. A strict validation of MODIS lake surface water temperature on the Tibetan Plateau. Remote Sensing, 14(21): 5454, doi: 10.3390/RS14215454.

53. Li, W.Y., Jiang, Q., He, X.G., Sun, H.Q., Sun, W.W., Scaioni, M., Chen, S., Li, X., Gao, J., Hong, Y., 2022. Effective multi-satellite precipitation fusion procedure conditioned by gauge background fields over the Chinese mainland. Journal of Hydrology, 610: 127783, doi: 10.1016/J.JHYDROL.2022.127783.

54. Lian, J., Gong, X.W., Wang, X.Y., Wang, X.Y., Zhao, X.Y., Li, X., Su, N., Li, Y.Q., 2022. Mapping of soil organic carbon stocks based on aerial photography in a fragmented desertification landscape. Remote Sensing, 14(12): 2829, doi: 10.3390/RS14122829.

55. Ma, X.G., Yang, K., La, Z., Lu, H., Jiang, Y.Z., Zhou, X., Yao, X.N., Li, X., 2022. Importance of parameterizing lake surface and internal thermal processes in WRF for simulating freeze onset of an alpine deep lake. Journal of Geophysical Research: Atmospheres, 127(18): e2022JD036759, doi: 10.1029/2022JD036759.

56. Qin, J., Tian, J.X., Yang, K., Lu, H., Li, X., Yao, L., Shi, J.C., 2022. Bias correction of satellite soil moisture through data assimilation. Journal of Hydrology, 610: 127947, doi: 10.1016/J.JHYDROL.2022.127947.

57. Ran, Y.H., Cheng, G.D., Dong, Y.H., Hjort, J., Lovecraft, A.L., Kang, S.C., Tan, M.B., Li, X., 2022. Permafrost degradation increases risk and large future costs of infrastructure on the Third Pole. Communications Earth & Environment, 3(1): 238, doi: 10.1038/S43247-022-00568-6.

58. Sui, Y.J., Feng, M., Wang, C.L., Li, X., 2022. A high-resolution inland surface water body dataset for the tundra and boreal forests of North America. Earth System Science Data, 14(7): 3349-3363, doi: 10.5194/essd-14-3349-2022.

59. Wang, J.B., He, Z.Y., Wang, C.L., Feng, M., Pang, Y., Yu, T., Li, X., 2022. Investigation of long-term forest dynamics in protected areas of northeast China using Landsat data. Remote Sensing, 14(13): 2988, doi: 10.3390/RS14132988.

60. Wang, X.J., Ran, Y.H., Pang, G.J., Chen, D.L., Su, B., Chen, R., Li, X., Chen, H.W., Yang, M.X., Guo, X.H., Jorgenson, M.T., Aalto, J., Li, R., Peng, X.P., Wu, T.H., Clow, G.D., Wan, G.N., Wu, X.D., Luo, D.L., 2022. Contrasting characteristics, changes, and linkages of permafrost between the Arctic and the Third Pole. Earth-Science Review, 230: 104042, doi: 10.1016/J.EARSCIREV.2022.104042.

61. Wu, A.D., Che, T., Li, X., Zhu, X.W., 2022. Routeview: an intelligent route planning system for ships sailing through Arctic ice zones based on big Earth data. International Journal of Digital Earth, 15(1): 1588-1613, doi: 10.1080/17538947.2022.2126016.

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135. 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, doi: 10.1029/2019JB018945.

136. 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, doi: 10.1016/J.JHYDROL.2020.125313.

137. Guo, Y.L., Zhao Z.F., Qiao H.J., Wang, R., Wei, H.Y., Wang, L.K., Gu, W., Li, X.*, Challenges and development trend of species distribution model. Advances in Earth Science, 35(12): 1292-1305, doi: 10.11867/j.issn.1001-8166.2020.110 (in Chinese with English abstract).

138. 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.

139. 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, doi: 10.1029/2019JD031907.

140. Zhou, Y.Z., Li, X.*, 2019. Energy balance closures in diverse ecosystems of an endorheic river basin. Agricultural and Forest Meteorology, 274: 118-131, doi: 10.1016/j.agrformet.2019.04.019.

141. 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, doi: 10.1029/2018JD029550.

142. 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, doi: 10.1109/ACCESS.2019.2957602.

143. 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, doi: 10.1038/s41467-019-10235-8.

144. 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, doi: 10.1016/j.jhydrol.2019.03.101.

145. 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, doi: 10.1016/j.scitotenv.2019.133978.

146. 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, doi: 10.3390/rs11030225.

147. Ran, Y.H., Li, X.*, 2019. TanSat: A new star in global carbon monitoring from China. Science Bulletin, 64(5): 284-285, doi: 10.1016/j.scib.2019.01.019.

148. 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, doi: 10.1016/j.scib.2019.04.023.

149. 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, doi: 10.1016/j.scitotenv.2018.07.465.

150. 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, doi: 10.5194/essd-11-1483-2019.

151. 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, doi: 10.1016/J.RSE.2019.03.029.

152. 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, doi: 10.3390/W11071366.

153. 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, doi: 10.3390/W11091916.

154. 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, doi: 10.1109/TGRS.2019.2899120.

155. 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, doi: 10.1029/2019JD030760.

156. Fang, M., and 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, doi: 10.1029/2018MS001525.

157. 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, doi: 10.5194/ESSD-11-1905-2019.

158. 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, doi: 10.1109/LGRS.2019.2907532.

159. 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, doi: 10.1080/01431161.2019.1584686.

160. 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, doi: 10.1080/19475705.2019.1609604.

161. Li, W.Y., Zhao, M., Scaioni, M., Hosseini, S.R., Wang, X., Yao, D.J., Zhang, K.H., 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, doi: 10.1007/S10661-019-7900-7.

162. 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, doi: 10.3808/JEI.201900409.

163. 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, doi: 10.1016/J.RSE.2019.111371.

164. 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., 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, doi: 10.1007/S11430-019-9522-7.

165. 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, doi: 10.1360/TB-2019-0209 (in Chinese with English abstract).

166. 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, doi: 10.1016/j.agrformet.2017.11.011.

167. 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, doi: 10.1007/s10546-018-0358-2.

168. 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, doi: 10.1016/j.enconman.2018.02.015.

169. 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, doi: 10.3390/su10082878.

170. 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, doi: 10.1007/s11430-017-9241-2.

171. 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, doi: 10.1016/J.ADVWATRES.2018.02.007.

172. 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, doi: 10.1029/2017MS001264.

173. 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, doi: 10.2136/VZJ2018.04.0072.

174. 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, doi: DOI: 10.3390/SU10041056.

175. 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, doi: 10.1029/2018GL079511.

176. 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, doi: 10.1016/J.ENVSOFT.2018.08.011.

177. Rizwan, M., Bakhsh, A., Li, X., Anjum, L., Jamal, K., Hamid, S., 2018. Evaluation of the impact of water management technologies on water savings in the Lower Chenab Canal Command Area, Indus River Basin. Water, 10(6): 681, doi: 10.3390/W10060681.

178. 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, doi: 10.3390/SU10072435.

179. 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, doi: 10.3390/RS10071112.

180. 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, doi: 10.3390/RS10020192.

181. Dong, W.H., Lin, Y.L., Wright, J.S., Xie, Y.Y., Xu, F.H., Yang, K., Li, X., Tian, L.D., Zhao, X., Cao, D.B., 2018. Connections between a late summer snowstorm over the southwestern Tibetan Plateau and a concurrent Indian monsoon low-pressure system. Journal of Geophysical Research: Atmospheres, 123(24): 13676-13691, doi: 10.1029/2018JD029710.

182. 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, doi: 10.2136/VZJ2018.10.0194.

183. Zhou, Y.Z., Li, X.*, 2018. Progress in the Energy Closure of Eddy Covariance Systems. Advances in Earth Science, 33(9): 898-913, doi: 10.11867/j.issn.1001-8166.2018.09.0898 (in Chinese with English abstract).

184. Ran, Y.H., Li, X.*, Jin, R., Kang, J., Cosh, M., 2017. Strengths and weaknesses of temporal stability analysis for monitoring and estimating grid-mean soil moisture in a high-intensity irrigated agricultural landscape. Water Resources Research, 53(1): 283-301, doi: 10.1002/2015WR018182.

185. Pan, X.D., Li, X.*, Cheng, G.D., Hong, Y., 2017. Effects of 4D-Var data assimilation using remote sensing precipitation products in a WRF model over the complex terrain of an arid region river basin. Remote Sensing, 9(9): 963, doi: 10.3390/rs9090963.

186. Pan, X.D., Li, X.*, Cheng, G.D., Chen, R.S., Hsu, K.L., 2017. Impact analysis of climate change on snow over a complex mountainous region using Weather Research and Forecast Model (WRF) simulation and Moderate Resolution Imaging Spectroradiometer Data (MODIS)-Terra fractional snow cover products. Remote Sensing, 9(8): 774, doi: 10.3390/rs9080774.

187. Ma, C.F., Li, X.*, Wei, L., Wang, W.Z., 2017. Multi-scale validation of SMAP soil moisture products over cold and arid regions in northwestern China using distributed ground observation data. Remote Sensing, 9(4): 327, doi: 10.3390/rs9040327.

188. Ma, C.F., Li, X.*, Wang, J., Wang, C., Duan, Q.Y., Wang, W.Z., 2017. A comprehensive evaluation of microwave emissivity and brightness temperature sensitivities to soil parameters using qualitative and quantitative sensitivity analyses. IEEE Transactions on Geoscience and Remote Sensing, 55(2): 1025-1038, doi: 10.1109/TGRS.2016.2618903.

189. Ma, C.F., Li, X.*, Notarnicola, C., Wang, S.G., Wang, W.Z., 2017. Uncertainty quantification of soil moisture estimations based on a Bayesian probabilistic inversion. IEEE Transactions on Geoscience and Remote Sensing, 55(6): 3194-3207, doi: 10.1109/TGRS.2017.2664078.

190. Liu, F., Li, X.*, 2017. New spatial upscaling methods for multi-point measurements: From normal to p-normal. Computers & Geosciences, 109: 247-257, doi: 10.1016/j.cageo.2017.08.001.

191. Liu, F., Li, X.*, 2017. Formulation of scale transformation in a stochastic data assimilation framework. Nonlinear Processes in Geophysics, 24(2): 279-291, doi: 10.5194/npg-24-279-2017.

192. Hu, N.K., Li, X.*, Luo, L., Zhang, L.W., 2017. Ancient irrigation canals mapped from Corona imageries and their implications in Juyan oasis along the Silk Road. Sustainability, 9(7): 1283, doi: 10.3390/su9071283.

193. Guo, Y.L., Li, X.*, Zhao, Z.F., Wei, H.Y., Gao, B., Gu, W., 2017. Prediction of the potential geographic distribution of the ectomycorrhizal mushroom Tricholoma matsutake under multiple climate change scenarios. Scientific Reports, 7: 46221, doi: 10.1038/srep46221.

194. Nian, Y.Y., Li, X., Zhou, J., 2017. Landscape changes of the Ejin Delta in the Heihe River Basin in Northwest China from 1930 to 2010. International Journal of Remote Sensing, 38(2): 537-557, doi: 10.1080/01431161.2016.1268732.

195. Jin, R., Li, X., Liu, S.M., 2017. Understanding the heterogeneity of soil moisture and evapotranspiration using multiscale observations from satellites, airborne sensors, and a ground-based observation matrix. IEEE Geoscience and Remote Sensing Letters, 14(11): 2132-2136, doi: 10.1109/LGRS.2017.2754961.

196. Zhang, Z., Zimmermann, N., Stenke, A., Li, X., Hodson, E., Zhu, G.F., Huang, C.L., Poulter, B., 2017. Emerging role of wetland methane emissions in driving 21st century climate change. Proceedings of the National Academy of Sciences, 114(36): 9647-9652, doi: 10.1073/PNAS.1618765114.

197. Zhang, Y.L., Cheng, G.D., Li, X., Jin, H.J., Yang, D.W., Flerchinger, G.N., Chang, X.L., Bense, V.F., Han, X.J., Liang, J., 2017. Influences of frozen ground and climate change on the hydrological processes in an alpine watershed: A case study in the upstream area of the Hei'he River, Northwest China. Permafrost and Periglacial Processes, 28(2): 420-432, doi: 10.1002/PPP.1928.

198. Zhang, Y., Hou, J.L., Gu, J., Huang, C.L., Li, X., 2017. SWAT-Based Hydrological Data Assimilation System (SWAT-HDAS): Description and case application to river basin-scale hydrological predictions. Journal of Advances in Modeling Earth Systems, 9(8): 2863-2882, doi: 10.1002/2017MS001144.

199. Wang, X.F., Xiao, J.F., Li, X., Cheng, G.D., Ma, M.G., Che, T., Dai, L.Y., Wang, S.Y., Wu, J.K., 2017. No consistent evidence for advancing or delaying trends in spring phenology on the Tibetan Plateau. Journal of Geophysical Research: Biogeosciences, 122(12): 3288-3305, doi: 10.1002/2017JG003949.

200. Tian, X., Yan, M., Van Der Tol, C., Li, Z.Y., Su, Z.B., Chen, E.X., Li, X., Li, L.H., Wang, X.F., Pan, X.D., Gao, L.S., Han, Z.T., 2017. Modeling forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the Qilian Mountains. Agricultural and Forest Meteorology, 246: 1-14, doi: 10.1016/J.AGRFORMET.2017.05.026.

201. Luan, W.F., Lu, L., Li, X., Ma, C.F., 2017. Weight determination of sustainable development indicators using a global sensitivity analysis method. Sustainability, 9(2): 303, doi: 10.3390/SU9020303.

202. Lu, L., Liu, C., Li, X., Ran, Y.H., 2017. Mapping the soil texture in the Heihe River Basin based on fuzzy logic and data fusion. Sustainability, 9(7): 1246, doi: 10.3390/SU9071246.

203. Lian, J., Zhao, X.Y., Li, X., Zhang, T.H., Wang, S.K., Luo, Y.Q., Zhu, Y.C., Feng, J., 2017. Detecting sustainability of desertification reversion: Vegetation trend analysis in part of the agro-pastoral transitional zone in Inner Mongolia, China. Sustainability, 9(2): 211, doi: 10.3390/SU9020211.

204. Li, Y., Huang, C.L., Hou, J.L., Gu, J., Zhu, G.F., Li, X., 2017. Mapping daily evapotranspiration based on spatiotemporal fusion of ASTER and MODIS images over irrigated agricultural areas in the Heihe River Basin, Northwest China. Agricultural and Forest Meteorology, 244-245: 82-97, doi: 10.1016/J.AGRFORMET.2017.05.023.

205. Li, J., Li, Z.W., Zhu, J.J., Li, X., Xu, B., Wang, Q.J., Huang, C.L., Hu, J., 2017. Early 21st century glacier thickness changes in the Central Tien Shan. Remote Sensing of Environment, 192: 12-29, doi: 10.1016/J.RSE.2017.02.003.

206. Kang, J., Jin, R., Li, X., Zhang, Y., 2017. Block kriging with measurement errors: A case study of the spatial prediction of soil moisture in the middle reaches of Heihe River Basin. IEEE Geoscience and Remote Sensing Letters, 14(1): 87-91, doi: 10.1109/LGRS.2016.2628767.

207. Kang, J., Jin, R., Li, X., Ma, C.F., Qin, J., Zhang, Y., 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 Sensing of Environment, 191: 232-245, doi: 10.1016/J.RSE.2017.01.027.

208. Chen, W.J., Shen, H.F., Huang, C.L., Li, X., 2017. Improving soil moisture estimation with a dual ensemble Kalman smoother by jointly assimilating AMSR-E brightness temperature and MODIS LST. Remote Sensing, 9(3): 273, doi: 10.3390/RS9030273.

209. Qiu, Y.B., Menenti, M., Li, X., Bajracharya, B., Kujansuu, J., Davaa, N., Liu, S.Y., Gao, Y.Q., Cheng, B., Wu, T.H., Li, Z.J., Che, T., Lemmetyinen, J., Liu, J.B., Xie, H.J., Ran, Y.H., Ruan, Z.X., Zhao, T.J., 2017. Observing and understanding high mountain and cold regions using big Earth data. Bulletin of Chinese Academy of Sciences, 32(Z1): 82-94.

210. Li, X.*, Yang, K., Zhou, Y.Z., 2016. Progress in the study of oasis-desert interactions. Agricultural and Forest Meteorology, 230-231: 1-7, doi: 10.1016/j.agrformet.2016.08.022.

211. Wang, S.G., Li, X.*, Ge, Y., Jin, R., Ma, M.G., Liu, Q.H., Wen, J.G., Liu, S.M., 2016. Validation of regional-scale remote sensing products in China: From site to network. Remote Sensing, 8(12): 980, doi: 10.3390/rs8120980.

212. Huang, G.H., Li, X.*, Ma, M.G., Li, H.Y., Huang, C.L., 2016. High resolution surface radiation products for studies of regional energy, hydrologic and ecological processes over Heihe river basin, northwest China. Agricultural and Forest Meteorology, 230-231: 67-78, doi: 10.1016/j.agrformet.2016.04.007.

213. Huang, G.H., Li, X.*, Huang, C.L., Liu, S.M., Ma, Y.F., Chen, H., 2016. Representativeness errors of point-scale ground-based solar radiation measurements in the validation of remote sensing products. Remote Sensing of Environment, 181: 198-206, doi: 10.1016/j.rse.2016.04.001.

214. Fang, M., Li, X.*, 2016. Application of Bayesian Model Averaging in the reconstruction of past climate change using PMIP3/CMIP5 multimodel ensemble simulations. Journal of Climate, 29(1): 175-189, doi: 10.1175/JCLI-D-14-00752.1.

215. Fang, M., Li, X.*, 2016. Paleoclimate data assimilation: Its motivation, progress and prospects. Science China Earth Sciences, 59(9): 1817-1826, doi: 10.1007/s11430-015-5432-6.

216. Zhu, G.F., Li, X., Zhang, K., Ding, Z.Y., Han, T., Ma, J.Z., Huang, C.L., He, J.H., Ma, T., 2016. Multi-model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging. Hydrological Processes, 30(16): 2861-2879, doi: 10.1002/HYP.10832.

217. Ran, Y.H., Li, X., Sun, R., Kljun, N., Zhang, L., Wang, X.F., Zhu, G.F., 2016. Spatial representativeness and uncertainty of eddy covariance carbon flux measurements for upscaling net ecosystem productivity to the grid scale. Agricultural and Forest Meteorology, 230-231: 114-127, doi: 10.1016/J.AGRFORMET.2016.05.008.

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