131 citations as recorded by crossref.

1. Spatial and temporal patterns in Arctic river ice breakup revealed by automated ice detection from MODIS imagery S. Cooley & T. Pavelsky https://doi.org/10.1016/j.rse.2016.01.004
2. Spatiotemporal variation of ice thickness of Lake Qinghai derived from field measurements and model simulation C. Juan et al. https://doi.org/10.18307/2021.0225
3. Lake-area mapping in the Tibetan Plateau: an evaluation of data and methods G. Zhang et al. https://doi.org/10.1080/01431161.2016.1271478
4. A Strict Validation of MODIS Lake Surface Water Temperature on the Tibetan Plateau . Lazhu et al. https://doi.org/10.3390/rs14215454
5. Prediction and Analysis of Lake Ice Phenology Dynamics Under Future Climate Scenarios Across the Inner Tibetan Plateau Y. Ruan et al. https://doi.org/10.1029/2020JD033082
6. Contrasting Changes in Lake Ice Thickness and Quality Due to Global Warming in the Arctic, Temperate, and Arid Zones and Highlands of Eurasia G. Zdorovennova et al. https://doi.org/10.3390/w17030365
7. Impact of particulate and dissolved material on light absorption properties in a High-Altitude Lake in Tibet, China C. Nima et al. https://doi.org/10.1007/s10750-015-2528-2
8. Late Quaternary changes in moisture availability and weathering intensity on the central Tibetan Plateau indicated by chemical signatures of ostracod shells N. Börner et al. https://doi.org/10.3389/feart.2022.826143
9. A dataset of microwave brightness temperature and freeze-thaw for medium-to-large lakes over the High Asia region (2002 – 2016) Y. Qiu et al. https://doi.org/10.11922/csdata.170.2017.0117
10. The impact of lake effects on the temporal and spatial distribution of precipitation in the Nam Co basin, Tibetan Plateau Y. Dai et al. https://doi.org/10.1016/j.quaint.2016.01.075
11. Effects of River Geomorphology on River Ice Freeze-up and Break-up Rates Using MODIS Imagery T. Chu & K. Lindenschmidt https://doi.org/10.1080/07038992.2019.1635004
12. Physical and biogeochemical responses of Tibetan Plateau lakes to climate change L. Zhu et al. https://doi.org/10.1038/s43017-025-00650-5
13. Analysis of Ice Phenology of Middle and Large Lakes on the Tibetan Plateau L. Sun et al. https://doi.org/10.3390/s23031661
14. Temporal and spatial heterogeneity of recent lake surface water temperature trends in the Qinghai-Tibet Plateau T. Yao et al. https://doi.org/10.1080/10106049.2021.2009043
15. Comparative study on lake ice phenology changes and driving factors in large lakes of mid-latitude Xinjiang, China Y. Kuluwan et al. https://doi.org/10.1016/j.jenvman.2024.123880
16. Quantifying the evaporation amounts of 75 high-elevation large dimictic lakes on the Tibetan Plateau B. Wang et al. https://doi.org/10.1126/sciadv.aay8558
17. Retrieval of Lake Ice Characteristics from SAR Imagery G. Siles et al. https://doi.org/10.1080/07038992.2022.2042227
18. Holocene lake-level fluctuations of Selin Co on the central Tibetan plateau: Regulated by monsoonal precipitation or meltwater? Y. Hou et al. https://doi.org/10.1016/j.quascirev.2021.106919
19. Ice thickness and water level estimation for ice-covered lakes with satellite altimetry waveforms and backscattering coefficients X. Li et al. https://doi.org/10.5194/tc-17-349-2023
20. Cross-ecosystem nutrient subsidies in Arctic and alpine lakes: implications of global change for remote lakes B. Burpee & J. Saros https://doi.org/10.1039/C9EM00528E
21. Seasonal Changes of Glacier Lakes in Tibetan Plateau Revealed by Multipolarization SAR Data K. Dai et al. https://doi.org/10.1109/LGRS.2021.3131717
22. The Impact of Climate Warming on Lake Surface Heat Exchange and Ice Phenology of Different Types of Lakes on the Tibetan Plateau J. Lang et al. https://doi.org/10.3390/w13050634
23. Future warming accelerates lake variations in the Tibetan Plateau Y. Liu & H. Chen https://doi.org/10.1002/joc.7760
24. Phenological Changes and Driving Forces of Lake Ice in Central Asia from 2002 to 2020 G. Hou et al. https://doi.org/10.3390/rs14194992
25. Multi-source satellite reveals the heterogeneity in water storage change over northwestern China in recent decades Q. Liu et al. https://doi.org/10.1016/j.jhydrol.2023.129953
26. Spatial distribution and ecology of the Recent Ostracoda from Tangra Yumco and adjacent waters on the southern Tibetan Plateau: A key to palaeoenvironmental reconstruction L. Akita et al. https://doi.org/10.1016/j.limno.2016.03.005
27. Reconstructing ice phenology of a lake with complex surface cover: a case study of Lake Ulansu during 1941–2023 P. Huo et al. https://doi.org/10.5194/tc-19-849-2025
28. Assessment of machine learning classifiers for global lake ice cover mapping from MODIS TOA reflectance data Y. Wu et al. https://doi.org/10.1016/j.rse.2020.112206
29. Modeling experiments on seasonal lake ice mass and energy balance in the Qinghai–Tibet Plateau: a case study W. Huang et al. https://doi.org/10.5194/hess-23-2173-2019
30. Spatial-temporal variations of lake ice phenology in the Hoh Xil region from 2000 to 2011 X. Yao et al. https://doi.org/10.1007/s11442-016-1255-6
31. Influence of local geoid variation on water surface elevation estimates derived from multi-mission altimetry for Lake Namco L. Jiang et al. https://doi.org/10.1016/j.rse.2018.11.004
32. Approximation of ice phenology of Maine lakes using Aqua MODIS surface temperature data S. Skoglund et al. https://doi.org/10.1002/ecs2.70000
33. Characterizing C-band backscattering from thermokarst lake ice on the Qinghai–Tibet Plateau B. Tian et al. https://doi.org/10.1016/j.isprsjprs.2015.02.014
34. Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams Using Machine Learning M. Tom et al. https://doi.org/10.3390/rs12213555
35. Multi-sensor detection of spring breakup phenology of Canada's lakes X. Giroux-Bougard et al. https://doi.org/10.1016/j.rse.2023.113656
36. Contrasting Roles of a Large Alpine Lake on Tibetan Plateau in Shaping Regional Precipitation During Summer and Autumn Y. Dai et al. https://doi.org/10.3389/feart.2020.00358
37. Monitoring high-altitude river ice distribution at the basin scale in the northeastern Tibetan Plateau from a Landsat time-series spanning 1999–2018 H. Li et al. https://doi.org/10.1016/j.rse.2020.111915
38. Lake ice phenology variations and influencing factors of Selin Co from 2000 to 2020 T. Xuenan et al. https://doi.org/10.18307/2022.0127
39. A dataset of lake ice phenology in Qinghai Lake from 2000 to 2018 M. Qi et al. https://doi.org/10.11922/csdata.2018.0045.zh
40. Spatiotemporal characteristics of Qinghai Lake ice phenology between 2000 and 2016 M. Qi et al. https://doi.org/10.1007/s11442-019-1587-0
41. Ice cover phenology of two high-altitude lakes on the Slovak side of the Tatra Mts. (2016-2024) K. Hrivnáková et al. https://doi.org/10.7163/GPol.0293
42. The state and fate of lake ice thickness in the Northern Hemisphere X. Li et al. https://doi.org/10.1016/j.scib.2021.10.015
43. Ice Phenology in Eurasian Lakes over Spatial Location and Altitude M. Leppäranta & L. Wen https://doi.org/10.3390/w14071037
44. Evaluation of the near-surface climate of the recent global atmospheric reanalysis for Qilian Mountains, Qinghai-Tibet Plateau B. Huai et al. https://doi.org/10.1016/j.atmosres.2020.105401
45. Variations in the Ice Phenology and Water Level of Ayakekumu Lake, Tibetan Plateau, Derived from MODIS and Satellite Altimetry Data J. Chen et al. https://doi.org/10.1007/s12524-018-0824-9
46. Reconstruction of Aeolian Activity Variability in the Central Tibetan Plateau From Grain-Size Distributions: End-Member Modeling and Source Attribution of Sediments From Lake Selin Co C. Zhang et al. https://doi.org/10.3389/feart.2022.865174
47. A 41-year (1979–2019) passive-microwave-derived lake ice phenology data record of the Northern Hemisphere Y. Cai et al. https://doi.org/10.5194/essd-14-3329-2022
48. Impacts of the decreased freeze-up period on primary production in Qinghai Lake L. Feng et al. https://doi.org/10.1016/j.jag.2019.101915
49. Lake ice phenology of Nam Co, Central Tibetan Plateau, China, derived from multiple MODIS data products P. Gou et al. https://doi.org/10.1016/j.jglr.2017.08.011
50. The Impact of the NAO on the Delayed Break-Up Date of Lake Ice over the Southern Tibetan Plateau Y. Liu et al. https://doi.org/10.1175/JCLI-D-18-0197.1
51. Variation of alpine lakes from 1986 to 2019 in the Headwater Area of the Yellow River, Tibetan Plateau using Google Earth Engine D. LUO et al. https://doi.org/10.1016/j.accre.2020.05.007
52. Climate warming shortens ice durations and alters freeze and break-up patterns in Swedish water bodies S. Hallerbäck et al. https://doi.org/10.5194/tc-16-2493-2022
53. Spatiotemporal patterns and regional differences of lake ice phenology across mainland China Y. Kuluwan et al. https://doi.org/10.1007/s10584-026-04245-x
54. Integrating Perspectives to Understand Lake Ice Dynamics in a Changing World S. Sharma et al. https://doi.org/10.1029/2020JG005799
55. Lake-Mountain synergy in convective clouds and precipitation over the Tibetan Plateau: a large-eddy simulation study K. Yang et al. https://doi.org/10.5194/acp-26-15179-2026
56. Quantifying freeze-melt dynamics of lakes on the Tibetan Plateau using Sentinel-1 synthetic aperture radar imagery L. Jin et al. https://doi.org/10.1007/s11629-023-8401-2
57. MODIS-observed variations of lake ice phenology in Xinjiang, China Y. Cai et al. https://doi.org/10.1007/s10584-019-02623-2
58. Unveiling lake ice phenology in Central Asia under climate change with MODIS data and a two-step classification approach Y. Xu et al. https://doi.org/10.1016/j.rse.2023.113955
59. Importance of Parameterizing Lake Surface and Internal Thermal Processes in WRF for Simulating Freeze Onset of an Alpine Deep Lake X. Ma et al. https://doi.org/10.1029/2022JD036759
60. Precipitation Seasonality and Variability over the Tibetan Plateau as Resolved by the High Asia Reanalysis* F. Maussion et al. https://doi.org/10.1175/JCLI-D-13-00282.1
61. Retracking Cryosat-2 Data in SARIn and LRM Modes for Plateau Lakes: A Case Study for Tibetan and Dianchi Lakes X. Deng et al. https://doi.org/10.3390/rs13061078
62. Changes in the lake thermal and mixing dynamics on the Tibetan Plateau M. Wang et al. https://doi.org/10.1080/02626667.2021.1887487
63. Towards automated mapping and monitoring of potentially dangerous glacial lakes in Bhutan Himalaya using Sentinel-1 Synthetic Aperture Radar data S. Wangchuk et al. https://doi.org/10.1080/01431161.2019.1569789
64. Spatiotemporal Dynamics and Drivers of Potential Winter Ice Resources in China (1990–2020) Using Multi-Source Remote Sensing and Machine Learning D. Shi https://doi.org/10.3390/rs18020250
65. Temperature drives variability in recent satellite-derived ice cover trends in Nebraska Sand Hill lakes D. Gschwentner & J. Corman https://doi.org/10.1080/20442041.2024.2327971
66. Ostracoda (Crustacea) as indicators of subaqueous mass movements: An example from the large brackish lake Tangra Yumco on the southern Tibetan Plateau, China L. Akita et al. https://doi.org/10.1016/j.palaeo.2014.08.003
67. Contrasting hydrological and thermal intensities determine seasonal lake-level variations – a case study at Paiku Co on the southern Tibetan Plateau Y. Lei et al. https://doi.org/10.5194/hess-25-3163-2021
68. Lake Phenology of Freeze-Thaw Cycles Using Random Forest: A Case Study of Qinghai Lake W. Han et al. https://doi.org/10.3390/rs12244098
69. High‐Resolution Mapping of Ice Cover Changes in Over 33,000 Lakes Across the North Temperate Zone X. Wang et al. https://doi.org/10.1029/2021GL095614
70. Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review Q. Ye et al. https://doi.org/10.3390/rs16101709
71. Critical Role of Groundwater Inflow in Sustaining Lake Water Balance on the Western Tibetan Plateau Y. Lei et al. https://doi.org/10.1029/2022GL099268
72. Analysis of the Variability and Influencing Factors of Ice Thickness during the Ablation Period in Qinghai Lake Using the GPR Ice Monitoring System Q. Wei et al. https://doi.org/10.3390/rs14102437
73. Passive microwave remote sensing of lake freeze-thawing over Qinghai-Tibet Plateau Q. Yubao et al. https://doi.org/10.18307/2018.0525
74. Revisiting growth and decline of late Quaternary mega-lakes across the south-central Tibetan Plateau T. Jonell et al. https://doi.org/10.1016/j.quascirev.2020.106475
75. Lake Ice Simulation and Evaluation for a Typical Lake on the Tibetan Plateau Y. Si et al. https://doi.org/10.3390/w15173088
76. Multi-source method for analysing ice cover phenology of high-altitude (High Tatra Mts.) lakes K. Hrivnáková et al. https://doi.org/10.5817/CPR2024-2-13
77. An Automatic Method to Detect Lake Ice Phenology Using MODIS Daily Temperature Imagery X. Zhang et al. https://doi.org/10.3390/rs13142711
78. Mapping High Mountain Lakes Using Space-Borne Near-Nadir SAR Observations S. Li et al. https://doi.org/10.3390/rs10091418
79. Oligocene‐Miocene Great Lakes in the India‐Asia Collision Zone P. DeCelles et al. https://doi.org/10.1111/bre.12217
80. Integration of space-borne and air-borne data in monitoring river ice processes in the Slave River, Canada T. Chu & K. Lindenschmidt https://doi.org/10.1016/j.rse.2016.03.041
81. What caused the spatial heterogeneity of lake ice phenology changes on the Tibetan Plateau? Y. Cai et al. https://doi.org/10.1016/j.scitotenv.2022.155517
82. Significant differences exist in lake-atmosphere interactions and the evaporation rates of high-elevation small and large lakes B. Wang et al. https://doi.org/10.1016/j.jhydrol.2019.03.066
83. Lake Surface Water Temperature in high altitude lakes in the Pyrenees: Combining satellite with monitoring data to assess recent trends K. Jungkeit-Milla et al. https://doi.org/10.1016/j.scitotenv.2024.173181
84. Contrasting Lake Ice Phenology Changes in the Qinghai–Tibet Plateau Revealed by Remote Sensing C. Xiong et al. https://doi.org/10.1109/LGRS.2020.3013410
85. An Accuracy Assessment of the ESTARFM Data-Fusion Model in Monitoring Lake Dynamics C. Peng et al. https://doi.org/10.3390/w17142057
86. On thin ice: Linking elevation and long‐term losses of lake ice cover K. Christianson et al. https://doi.org/10.1002/lol2.10181
87. Ostracod‐based reconstruction of Late Quaternary lake level changes within the Tangra Yumco lake system (southern Tibetan Plateau) M. Alivernini et al. https://doi.org/10.1002/jqs.3047
88. Remote sensing of lake surface water temperature reveals divergent hydroclimatic associations with lake ice phenology across China Q. Yang et al. https://doi.org/10.1016/j.jag.2026.105633
89. Ice processes and surface ablation in a shallow thermokarst lake in the central Qinghai–Tibetan Plateau W. Huang et al. https://doi.org/10.3189/2016AoG71A016
90. Quantitative comparison of river inflows to a rapidly expanding lake in central Tibetan Plateau J. Ding et al. https://doi.org/10.1002/hyp.13239
91. Natural Ice/Snow and Humans: From Mountain to Sea Z. Li et al. https://doi.org/10.3390/w17121754
92. Monitoring of lake level changes on the Tibetan Plateau and Tian Shan by retracking Cryosat SARIn waveforms M. Kleinherenbrink et al. https://doi.org/10.1016/j.jhydrol.2014.11.063
93. Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery M. Tom et al. https://doi.org/10.1007/s41064-022-00215-x
94. Quantifying the contribution of glacier meltwater in the expansion of the largest lake in Tibet K. Tong et al. https://doi.org/10.1002/2016JD025424
95. Glossário da língua portuguesa da neve, gelo e termos correlatos – Segunda edição J. Simões et al. https://doi.org/10.5902/2236499485127
96. Response of Tibetan Plateau lakes to climate change: Trends, patterns, and mechanisms G. Zhang et al. https://doi.org/10.1016/j.earscirev.2020.103269
97. Distribution and relevance of aufeis (icing) in the Upper Indus Basin D. Brombierstäudl et al. https://doi.org/10.1016/j.scitotenv.2021.146604
98. Monitoring the Ice Phenology of Qinghai Lake from 1980 to 2018 Using Multisource Remote Sensing Data and Google Earth Engine M. Qi et al. https://doi.org/10.3390/rs12142217
99. Investigation of L-Band Radar Signal Scattering From Ice Cover Using GNSS-R Data D. Kovaldov et al. https://doi.org/10.2205/2026es001133
100. The changes in the water volume of Ayakekumu Lake based on satellite remote sensing data J. CHEN et al. https://doi.org/10.31497/zrzyxb.20190618
101. The role of Tibetan Plateau lakes in surface water cycle under global changes Z. Liping et al. https://doi.org/10.18307/2020.0301
102. Remote sensing for lake research and monitoring – Recent advances K. Dörnhöfer & N. Oppelt https://doi.org/10.1016/j.ecolind.2015.12.009
103. Salinity and seasonality shaping free-living and particle-associated bacterioplankton community assembly in lakeshores of the northeastern Qinghai-Tibet Plateau J. Zhang et al. https://doi.org/10.1016/j.envres.2022.113717
104. Effects of Winter Warming on Alpine Permafrost Streamflow in Xinjiang China and Teleconnections with the Siberian High J. Liu et al. https://doi.org/10.3390/w16070993
105. Thermal structure and water-ice heat transfer in a shallow ice-covered thermokarst lake in central Qinghai-Tibet Plateau W. Huang et al. https://doi.org/10.1016/j.jhydrol.2019.124122
106. Seasonal ice-covered lake surface likely caused the spatial heterogeneity of aeolian sediment grain-size in the source region of Yellow River, northeastern Tibetan Plateau, China G. Hu et al. https://doi.org/10.3389/feart.2023.1150585
107. MODIS-based Daily Lake Ice Extent and Coverage dataset for Tibetan Plateau Y. Qiu et al. https://doi.org/10.1080/20964471.2019.1631729
108. Remote sensing of alpine lake water environment changes on the Tibetan Plateau and surroundings: A review C. Song et al. https://doi.org/10.1016/j.isprsjprs.2014.03.001
109. Chlorophyll-a concentrations in 82 large alpine lakes on the Tibetan Plateau during 2003–2017: temporal–spatial variations and influencing factors X. Pi et al. https://doi.org/10.1080/17538947.2021.1872722
110. Application of a Three‐Dimensional Coupled Hydrodynamic‐Ice Model to Assess Spatiotemporal Variations in Ice Cover and Underlying Mechanisms in Lake Nam Co, Tibetan Plateau, 2007–2017 Y. Wu et al. https://doi.org/10.1029/2023JD038844
111. Sediment transport processes across the Tibetan Plateau inferred from robust grain-size end members in lake sediments E. Dietze et al. https://doi.org/10.5194/cp-10-91-2014
112. Variation and Influencing Factors of Cloud Characteristics over Qinghai Lake from 2006 to 2019 L. Li et al. https://doi.org/10.3390/su141911935
113. Variations of Lake Ice Phenology Derived from MODIS LST Products and the Influencing Factors in Northeast China X. Shi et al. https://doi.org/10.3390/rs16214025
114. Variation in Ice Phenology of Large Lakes over the Northern Hemisphere Based on Passive Microwave Remote Sensing Data L. Su et al. https://doi.org/10.3390/rs13071389
115. Estimation of lakes water storage and their changes on the northwestern Tibetan Plateau based on bathymetric and Landsat data and driving force analyses B. Qiao et al. https://doi.org/10.1016/j.quaint.2017.08.005
116. Monitoring Ice Phenology in Lake Wetlands Based on Optical Satellite Data: A Case Study of Wuliangsu Lake P. Huo et al. https://doi.org/10.3390/w14203307
117. Drivers of Warming in Lake Nam Co on Tibetan Plateau Over the Past 40 Years Y. Shi et al. https://doi.org/10.1029/2021JD036320
118. Linking atmospheric pollution to cryospheric change in the Third Pole region: current progress and future prospects S. Kang et al. https://doi.org/10.1093/nsr/nwz031
119. Luminescence dating of shoreline sediments indicates a late deglacial lake-level rise of Selin Co on the central Tibetan Plateau Y. Hou et al. https://doi.org/10.1016/j.quageo.2022.101313
120. Investigating changes in lake systems in the south-central Tibetan Plateau with multi-source remote sensing Y. Wu et al. https://doi.org/10.1007/s11442-017-1380-x
121. Fine-scale monitoring of lake ice phenology by synthesizing remote sensed and climatologic features based on high-resolution satellite constellation and modeling J. Tong et al. https://doi.org/10.1016/j.scitotenv.2023.169002
122. Comparison of Lake Ice Extraction Methods Based on MODIS Images H. Zhang et al. https://doi.org/10.3390/rs14194740
123. Uncertainty Estimation of Lake Ice Cover Maps From a Random Forest Classifier Using MODIS TOA Reflectance Data N. Saberi et al. https://doi.org/10.1109/JSTARS.2024.3518306
124. Improving Driver Attribution for Water-Level Variations in Qinghai Lake Through Hydrological Process-Period Analysis S. Fang et al. https://doi.org/10.3390/rs18213811
125. Enhanced Warming in Global Dryland Lakes and Its Drivers S. Wang et al. https://doi.org/10.3390/rs14010086
126. Seasonal cycles of lakes on the Tibetan Plateau detected by Sentinel-1 SAR data Y. Zhang et al. https://doi.org/10.1016/j.scitotenv.2019.135563
127. A lake ice phenology dataset for the Northern Hemisphere based on passive microwave remote sensing X. Wang et al. https://doi.org/10.1080/20964471.2021.1992916
128. Uncertainty and Variation of Remotely Sensed Lake Ice Phenology across the Tibetan Plateau L. Guo et al. https://doi.org/10.3390/rs10101534
129. Monitoring ice variations in Qinghai Lake from 1979 to 2016 using passive microwave remote sensing data Y. Cai et al. https://doi.org/10.1016/j.scitotenv.2017.07.027
130. Variations of Lake Ice Phenology on the Tibetan Plateau From 2001 to 2017 Based on MODIS Data Y. Cai et al. https://doi.org/10.1029/2018JD028993
131. Quantifying the CO2 sink intensity of large and small saline lakes on the Tibetan Plateau W. Li et al. https://doi.org/10.1016/j.scitotenv.2024.173408