Talent details
Education and Appointments
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:
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.
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
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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