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 2000？2020 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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