165 citations as recorded by crossref.

1. A dataset of gridded precipitation intensity-duration-frequency curves in Qinghai-Tibet Plateau Z. Ren et al. https://doi.org/10.1038/s41597-024-04362-1
2. Temporal and spatial differentiation in the landslide sediment transfer potential in Wenchuan earthquake-impacted areas J. Xiong et al. https://doi.org/10.1007/s10346-025-02467-1
3. Runoff contribution of spring snowmelt in the source region of the Yangtze River and its variation characteristics Z. Li et al. https://doi.org/10.1016/j.ejrh.2025.102295
4. A comprehensive evaluation of the accuracy of satellite-based precipitation estimates over Thailand C. Kaprom et al. https://doi.org/10.1016/j.ejrh.2025.102380
5. Multidimensional evaluation of satellite-based and reanalysis-based precipitation datasets in the Tibetan Plateau Y. Cheng et al. https://doi.org/10.1016/j.jhydrol.2025.133364
6. Intensification of extreme precipitation across the Tibetan Plateau and its climatic drivers over 1982−2020 Y. Song et al. https://doi.org/10.1016/j.gloplacha.2025.105182
7. The slowdown of increasing groundwater storage in response to climate warming in the Tibetan Plateau L. Wang et al. https://doi.org/10.1038/s41612-024-00840-w
8. Development of a high-resolution near-surface meteorological forcing dataset for the Third Pole region Y. Jiang et al. https://doi.org/10.1007/s11430-024-1507-6
9. Temperature Governs the Elevation Dependency of Snow Cover Changes in the Upper Reaches of the Yarkand River Basin X. Jiang et al. https://doi.org/10.3390/rs18010080
10. High resolution soil moisture mapping in 3D space and time using machine learning and depth functions M. Zhang et al. https://doi.org/10.1016/j.geoderma.2024.117117
11. Dipolar response of precipitation to lake expansion on the Tibetan Plateau Y. Qiu et al. https://doi.org/10.1016/j.jhydrol.2025.133532
12. 2000~2022年青藏高原湖泊表面温度变化及其驱动因素 元. 邱 et al. https://doi.org/10.1360/SSTe-2024-0186
13. Rainfall induced mass-movements in the Qinghai-Tibet Plateau: insights on temporal and spatial triggering patterns K. Yao et al. https://doi.org/10.1007/s10064-025-04415-8
14. Precipitation regimes primarily drive the carbon uptake in the Tibetan Plateau L. He et al. https://doi.org/10.1016/j.ecolind.2023.110694
15. TPRD3km: An observation-constrained high-resolution runoff data for Third Pole transboundary rivers H. Liu & L. Wang https://doi.org/10.1080/20964471.2025.2585701
16. Spatio-temporal patterns of carbon, nitrogen and phosphorus in the aboveground parts of plants in alpine grasslands on the Qinghai-Xizang Plateau: Insights from a multi-faceted analysis G. Zhang et al. https://doi.org/10.1371/journal.pone.0325698
17. An Artificial Intelligence-Driven Precipitation Downscaling Method Using Spatiotemporally Coupled Multi-Source Data C. Li et al. https://doi.org/10.3390/atmos16111226
18. A robust index was extracted to assess the prolonged changes in debris flow activity after a high magnitude earthquake J. Xiong et al. https://doi.org/10.1016/j.catena.2025.108733
19. Divergent effects of temperature and precipitation on water flow into the largest lake on the Tibetan Plateau Y. Wang et al. https://doi.org/10.1038/s41612-025-01017-9
20. Physics-guided machine learning approach for reconstructing air temperature in warm permafrost on the Qinghai‒Xizang Plateau C. Peng et al. https://doi.org/10.1016/j.accre.2026.04.013
21. An upgraded high-precision gridded precipitation dataset for the Chinese mainland considering spatial autocorrelation and covariates J. Hu et al. https://doi.org/10.5194/essd-17-3987-2025
22. Passive satellite hourly precipitation estimation over mainland China by combining cloud and meteorological parameters S. Xu et al. https://doi.org/10.1016/j.atmosres.2025.108112
23. Opposite long-term trends in precipitation during spring and summer over the Pamir Plateau and influential factors P. Chen et al. https://doi.org/10.1016/j.atmosres.2025.108169
24. Unveiling large-scale velocity characteristics of rock glaciers in the Tibet-Pamir-Karakoram region using InSAR Z. Sun et al. https://doi.org/10.1016/j.jag.2025.104733
25. Climate Change in Southeast Tibet and Its Potential Impacts on Cryospheric Disasters C. Fang et al. https://doi.org/10.3390/atmos16050547
26. Characteristics and Attribution of Spatiotemporal Changes in Qilian Mountains' Runoff Over the Past Six Decades Z. Liu et al. https://doi.org/10.1029/2023JD039176
27. Increased Sensitivity of Alpine Grasslands to Climate Change on the Tibetan Plateau Z. Xu et al. https://doi.org/10.3390/land15020215
28. From means to extremes: Evaluating high-resolution gridded data for rainfall erosivity estimation in Austria C. Vásquez et al. https://doi.org/10.1016/j.ejrh.2026.103270
29. What Distinguishes Summer Extreme Precipitation From Non‐Extreme Precipitation Over the Tibetan Plateau? Z. Ding et al. https://doi.org/10.1029/2024GL111192
30. Runoff evolution responses to climate change: A case study in the headwater area of Yellow River, China J. Mei et al. https://doi.org/10.1016/j.jenvman.2025.125512
31. Widespread societal and ecological impacts from projected Tibetan Plateau lake expansion F. Xu et al. https://doi.org/10.1038/s41561-024-01446-w
32. Predicting Gross Primary Productivity under Future Climate Change for the Tibetan Plateau Based on Convolutional Neural Networks M. Li et al. https://doi.org/10.3390/rs16193723
33. MoHiPr-TB: A Monthly Gridded Multi-Source Merged Precipitation Dataset for the Tarim Basin Based on Machine Learning P. Chen et al. https://doi.org/10.3390/rs17142483
34. Unsupervised deep learning bias correction of CMIP6 global ensemble precipitation predictions with cycle generative adversarial network B. Huang et al. https://doi.org/10.1088/1748-9326/ad66e6
35. Precipitation and Soil Moisture Variation over the Tibetan Plateau to the Anomaly of Indian Summer Monsoon from 1979 to 2019 T. Liu et al. https://doi.org/10.3390/rs16061014
36. Fungal spore assemblages in the feces of typical wild herbivores on the Tibetan Plateau and their ecological significances H. Li et al. https://doi.org/10.1016/j.revpalbo.2026.105625
37. Ecosystem Resilience Trends and Its Influencing Factors in China’s Three-River Headwater Region: A Comprehensive Analysis Using CSD Indicators (1982–2023) Z. Wang et al. https://doi.org/10.3390/land13081224
38. Spatiotemporal characteristics of summer extreme precipitation over the Inner Tibetan Plateau in recent decades Z. Ding et al. https://doi.org/10.1038/s41612-025-01089-7
39. Diagnosing evaporation in heterogeneous alpine basins using the generalized complementary relationship model integrated with the Budyko framework X. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.134496
40. Application of remote sensing monitoring to the spatiotemporal variation in debris flow activity in the catastrophic Wenchuan seismic area J. Xiong et al. https://doi.org/10.1016/j.catena.2023.107450
41. Deep learning for multi-source precipitation fusion on the Qinghai–Tibet Plateau W. Zhang & Z. Di https://doi.org/10.1080/17538947.2025.2594247
42. Changes in lake surface temperature on the Tibetan Plateau from 2000 to 2022 and their driving factors Y. Qiu et al. https://doi.org/10.1007/s11430-024-1527-4
43. Development of daily bias-corrected ensemble precipitation estimates over the Upper Indus Basin of the Hindukush-Karakoram-Himalaya K. Jamal et al. https://doi.org/10.2166/wcc.2023.202
44. Evaluation of the Accuracy and Applicability of Reanalysis Precipitation Products in the Lower Yarlung Zangbo Basin A. Tan et al. https://doi.org/10.3390/rs17142396
45. Precipitation Changes on the Northern Slope of the Kunlun Mountains in the Past 42 Years Z. Xia et al. https://doi.org/10.3390/w16091203
46. How much water vapour does the Tibetan Plateau release into the atmosphere? C. Zheng et al. https://doi.org/10.5194/hess-29-485-2025
47. Evaluation of stability and cooling engineering effectiveness of the Qinghai-Tibet transportation routes: A first comprehensive assessment using space geodetic observations L. Wang et al. https://doi.org/10.1016/j.enggeo.2025.108502
48. Increasing gross primary productivity under soil warming and wetting on the Tibetan Plateau Q. Peng et al. https://doi.org/10.1088/1748-9326/ad1d4f
49. Detecting Shifts of Monsoon Precipitation Patterns and a Large Increase in Soil Erosion Potential During 1979–2020 in Nepal R. Tang et al. https://doi.org/10.3390/rs18010069
50. Intensification of compound hot–dry events on the Tibetan plateau under a warming background R. Pan et al. https://doi.org/10.1007/s00382-025-08026-7
51. Dynamics and risk assessment of water conservation in a high-mountain river basin under climate change C. Chai et al. https://doi.org/10.1016/j.gloplacha.2026.105527
52. 青藏高原暖季中西部的断面降雨观测: 系统设计与初步结果 坤. 阳 et al. https://doi.org/10.1360/SSTe-2022-0210
53. Tibetan Plateau Runoff and Evapotranspiration Dataset by an observation-constrained cryosphere-hydrology model X. Fan et al. https://doi.org/10.1038/s41597-024-03623-3
54. Probability mapping of debris flows triggered by multiple mechanisms in the Himalayas B. Zhou et al. https://doi.org/10.1016/j.ijdrr.2025.105444
55. A physically-refined regional climate model for the Tibetan Plateau K. Yang et al. https://doi.org/10.1016/j.scib.2025.10.035
56. Evaluating multi-source precipitation datasets for hydrological applications in ungauged alpine region of Tibetan Plateau H. Li et al. https://doi.org/10.1016/j.ejrh.2025.103003
57. Effects of fine terrain complexity on cloud and precipitation changes over the Tibetan Plateau: a modeling study K. Yang et al. https://doi.org/10.1038/s41612-025-00907-2
58. Assessment of runoff simulation in the Yarlung Zangbo River Basin based on the multi-physics Noah-MP land surface model H. Yang et al. https://doi.org/10.1360/TB-2023-0091
59. Seasonality changes in the terrestrial water cycle under different vegetation types and their attribution in the Songliao River Basin, Northeast China W. Fei et al. https://doi.org/10.1016/j.ejrh.2025.103100
60. 基于扩展卡尔曼滤波和自动微分技术对陆面数据同化系统参数的快速估计及其影响 佳. 田 et al. https://doi.org/10.1360/SSTe-2022-0372
61. High-resolution land surface modeling of climate and CO2 effects on ecosystem carbon-water coupling across the Qinghai-Tibet Plateau X. Xi et al. https://doi.org/10.1016/j.agrformet.2026.111195
62. Evaluation of CLDAS and GPM Precipitation Products over the Tibetan Plateau in Summer 2005–2021 Based on Hourly Rain Gauge Observations Q. Liu & X. Yao https://doi.org/10.1007/s13351-024-4030-0
63. Enduring local impact of springtime snow cover over the Third Pole C. Lin et al. https://doi.org/10.1038/s41612-025-01264-w
64. Weight-Supported Random Forest Downscaled GRACE (-FO) Data Uncovers Groundwater Depletion Linked to Winter Wheat Cultivation in the North China Plain S. Ali et al. https://doi.org/10.1007/s41748-025-00976-6
65. Power Spectra’s Perspective on Meteorological Drivers of Snow Depth Multiscale Behavior over the Tibetan Plateau Y. Cao & L. Jiang https://doi.org/10.3390/land14040790
66. Estimating the long-term daily evapotranspiration in the source region of the Yangtze River based on a universal trapezoid method Y. Li et al. https://doi.org/10.1016/j.ejrh.2026.103119
67. Study on the Snowfall Amount Triggering Regional Avalanches in Southeastern Tibet H. Wei et al. https://doi.org/10.3390/w17111631
68. 第三极地区高分辨率近地面气象驱动数据研制 尧. 姜 et al. https://doi.org/10.1360/N072024-0170
69. Pollen Sedimentary Dynamics and Hydroclimatic Implications in the Largest Lake System in Qaidam Basin, Northeastern Qinghai-Tibet Plateau H. Li et al. https://doi.org/10.1016/j.palaeo.2025.113115
70. Quantifying the snowfall variations in the Third Pole region from 1980 to 2020 T. Yang et al. https://doi.org/10.1016/j.atmosres.2023.106985
71. Systematic analyses of the meteorological forcing and process parameterization uncertainties in modeling runoff with Noah-MP for the Upper Brahmaputra river basin X. Lei et al. https://doi.org/10.1016/j.jhydrol.2025.132686
72. Accounting for the annual variability when assessing non-point source pollution potential in Mediterranean regulated watersheds E. Contreras et al. https://doi.org/10.1016/j.scitotenv.2023.167261
73. A ten-year (2012–2021) fine-resolution (1 km, hourly) precipitation dataset over southeastern Tibetan Plateau D. Li et al. https://doi.org/10.1038/s41597-025-04654-0
74. Machine learning-based precipitation dataset for the Yarlung Zangbo River Basin: Generation, evaluation, and environmental factor analysis H. Zha et al. https://doi.org/10.1016/j.ejrh.2026.103387
75. A warming-induced glacier reduction causes lower streamflow in the upper Tarim River Basin L. Liu et al. https://doi.org/10.1016/j.ejrh.2024.101802
76. Weight-optimized fusion of satellite precipitation over the Qinghai-Tibet Plateau: Comparison of machine learning approaches L. Zhou et al. https://doi.org/10.1016/j.jhydrol.2026.135610
77. Chain effects of landslide activity intensity decay on landslide sediment transfer and debris flow activity J. Xiong et al. https://doi.org/10.1139/cgj-2025-0510
78. Rainfall Erosivity Mapping for Tibetan Plateau Using High-Resolution Temporal and Spatial Precipitation Datasets for the Third Pole B. Yin et al. https://doi.org/10.3390/rs15225267
79. Impacts of a shallow convection scheme on kilometer-scale atmospheric simulations over the Tibetan Plateau J. Liu et al. https://doi.org/10.1007/s00382-024-07320-0
80. Optimized Soil Moisture Mapping Strategies on the Tibetan Plateau Using Downscaled and Interpolated Maps as Mutual Covariates M. Zhang et al. https://doi.org/10.3390/rs16213939
81. Widespread weakening of soil-atmosphere thermal coupling and its response to climate warming on the Qinghai-Tibetan plateau G. Yin et al. https://doi.org/10.1016/j.agrformet.2025.110925
82. Multi-dimensional evaluation of four monthly long-term and high-resolution gridded precipitation datasets on the Qinghai-Tibet Plateau N. Meng et al. https://doi.org/10.1016/j.atmosres.2024.107226
83. Unraveling scale-dependent flood responses to changing climate extremes over the Tibetan Plateau X. Li et al. https://doi.org/10.1038/s43247-026-03413-2
84. CMIP6 Simulation-Based Daily Surface Air Temperature and Precipitation Projections over the Qinghai-Tibetan Plateau in the 21st Century K. Wang et al. https://doi.org/10.3390/atmos15040434
85. Which global reanalysis dataset has better representativeness in snow cover on the Tibetan Plateau? S. Yan et al. https://doi.org/10.5194/tc-18-4089-2024
86. Enhanced surface water-energy coupling on the Tibetan Plateau over the past six decades (1960–2020) K. Yang et al. https://doi.org/10.1016/j.fmre.2023.12.006
87. Quantifying the impact of climate change and human activities on the atmospheric water cycle in the Upper Yellow River Basin Y. Man et al. https://doi.org/10.1016/j.ejrh.2026.103527
88. What Controls the Subseasonal Precipitation Reversal Over the Western Tibetan Plateau in Winter? Y. Liu et al. https://doi.org/10.1029/2023JD039796
89. Dynamic impact of hillslope landslide sediment transfer to ecological environment recovery in earthquake disturbed area J. Xiong et al. https://doi.org/10.1007/s10064-025-04125-1
90. Cross-sectional rainfall observation on the central-western Tibetan Plateau in the warm season: System design and preliminary results K. Yang et al. https://doi.org/10.1007/s11430-022-1081-4
91. Contrasting lake changes in Tibet revealed by recent multi-modal satellite observations J. Ran et al. https://doi.org/10.1016/j.scitotenv.2023.168342
92. Asymmetric adaptation of dryland vegetation to a warming and drying climate over two decades in Xinjiang, China: Evidence from satellite observations H. Zhang et al. https://doi.org/10.1016/j.jag.2026.105316
93. Assessment of snow simulation using Noah-MP land surface model forced by various precipitation sources in the Central Tianshan Mountains, Central Asia T. Yang et al. https://doi.org/10.1016/j.atmosres.2024.107251
94. Development of high-resolution gridded data for water availability identification through GRACE data downscaling: Development of machine learning models H. Tao et al. https://doi.org/10.1016/j.atmosres.2023.106815
95. Susceptibility Mapping of Thaw Slumps Based on Neural Network Methods along the Qinghai–Tibet Engineering Corridor P. Li et al. https://doi.org/10.3390/su16125120
96. Multisource precipitation data fusion: Generating high-quality precipitation estimates H. Chen et al. https://doi.org/10.59717/j.xinn-geo.2026.100195
97. Assessing the fidelity of gridded datasets for characterizing precipitation over the Tibetan plateau using multi-source observations and water balance D. Li et al. https://doi.org/10.1007/s44394-025-00012-1
98. A Novel Survival Analysis Model for Quantifying Time-Lagged and Nonlinear Effects of Meteorological Conditions on Snow Phenology J. Xu et al. https://doi.org/10.1109/TGRS.2025.3588200
99. An image channel-based method for the compression and application of meteorological data J. Li et al. https://doi.org/10.1080/2150704X.2025.2578823
100. Evaluation of reanalyzed surface air temperature over the western Tibetan Plateau J. Wang et al. https://doi.org/10.1016/j.atmosres.2025.108454
101. ERA5-Land overestimates runoff coefficient but underestimates runoff recession rate in the central Tibetan permafrost region L. Liu et al. https://doi.org/10.1016/j.ejrh.2024.101792
102. Polar regions are critical in achieving global sustainable development goals X. Li et al. https://doi.org/10.1038/s41467-025-59178-3
103. A multiple-step scheme for the improvement of satellite precipitation products over the Tibetan Plateau from multisource information K. He et al. https://doi.org/10.1016/j.scitotenv.2023.162378
104. Analysis of effects of vegetation cover and elevation on water yield in an alpine basin of the Qilian Mountains in Northwest China by integrating the WRF-Hydro and Budyko framework S. Guo et al. https://doi.org/10.1016/j.jhydrol.2023.130580
105. Evaluation of Multi-Source Precipitation Products in the Hinterland of the Tibetan Plateau M. Sun et al. https://doi.org/10.3390/atmos15010138
106. Spatial distribution and variation trends of soil freezing front on the Qingzang Plateau revealed by machine learning models B. Wen et al. https://doi.org/10.1007/s00382-025-07989-x
107. Inconsistent response patterns of snow cover duration and snow depth over the Tibetan Plateau to global warming Y. Jiang et al. https://doi.org/10.1016/j.accre.2025.03.007
108. Hydrology and sediment supply in the largest lake system of Qaidam Basin, northeastern Qinghai-Xizang Plateau: insights from surface-sediment grain size H. Li et al. https://doi.org/10.1007/s00343-025-5260-4
109. Evaluation of precipitation extremes over the Tibetan plateau using the NASA global daily downscaled datasets NEX-GDDP-CMIP6 H. Yuan et al. https://doi.org/10.1016/j.accre.2023.12.001
110. Added value of merging techniques in precipitation estimates relative to gauge-interpolation algorithms of varying complexity Y. Hu & L. Zhang https://doi.org/10.1016/j.jhydrol.2024.132214
111. Geomorphometric assessment of spatial transfer potential of landslides sediment in seismically impacted areas J. Xiong et al. https://doi.org/10.1007/s11069-024-07034-w
112. Divergent impacts of Tibetan Plateau lakes on local and downstream water availability Y. Dai et al. https://doi.org/10.1016/j.accre.2025.09.013
113. Forecasting monthly rainfall and temperature patterns in Van Province, Türkiye, using ARIMA and SARIMA models: a long-term climate analysis V. Yavuz https://doi.org/10.2166/wcc.2025.798
114. I–D Threshold Analysis of Rainfall-Triggered Landslides Based on TRMM Precipitation Data in Wudu, China S. Ning et al. https://doi.org/10.3390/rs15153892
115. Refining snow-streamflow dynamics in a Tibetan Plateau basin by incorporating snow depth and topography L. Tian et al. https://doi.org/10.1016/j.jhydrol.2025.133057
116. Effects of climate change on runoff in a representative Himalayan basin assessed through optimal integration of multi-source precipitation data Y. Xiang et al. https://doi.org/10.1016/j.ejrh.2024.101828
117. Intercomparison of reanalysis and satellite precipitation products in endorheic and exorheic basins on the Tibetan Plateau R. Wang et al. https://doi.org/10.1016/j.ejrh.2024.102004
118. Quantifying multi-sphere impacts on mountain runoff of a Third Pole River C. Chai et al. https://doi.org/10.1016/j.jenvman.2025.125153
119. Characterizing the kinematics of active rock glaciers in Daxue Shan, southeastern Tibetan plateau, using SAR interferometry and generalized boosted modeling J. Cai et al. https://doi.org/10.1016/j.rse.2024.114352
120. Precipitation adjustment by the OTT Parsivel2 in the central Qinghai–Tibet Plateau C. Wang et al. https://doi.org/10.1002/esp.5836
121. Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture M. Zhang et al. https://doi.org/10.1016/j.ecoinf.2024.102875
122. Evolution and Attribution of Flood Volume in the Source Region of the Yellow River J. Wang et al. https://doi.org/10.3390/rs17081342
123. Extreme precipitation detection ability of four high-resolution precipitation product datasets in hilly area: a case study in Nepal S. Subba et al. https://doi.org/10.1016/j.accre.2024.05.005
124. Tracking 35-year dynamics of retrogressive thaw slumps across permafrost regions of the Tibetan Plateau G. Yang et al. https://doi.org/10.1016/j.rse.2025.114786
125. Characterizing precipitation uncertainties in a high-altitudinal permafrost watershed of the Tibetan plateau based on regional water balance and hydrological model simulations H. Jiang et al. https://doi.org/10.1016/j.ejrh.2023.101445
126. Impact of snow on vegetation green-up dynamics on the Tibetan Plateau: Integration of survival analysis and remote sensing data J. Xu et al. https://doi.org/10.1016/j.agrformet.2024.110377
127. Intercomparison and sensitivity analysis of WRF parameterization schemes for convection-permitting modeling of precipitation distribution along the Yarlung Zangbo River Q. Bian et al. https://doi.org/10.1016/j.atmosres.2026.108827
128. Review of WRF for weather and climate change over the Tibetan Plateau L. Liu et al. https://doi.org/10.1016/j.accre.2025.10.001
129. Global warming driving increased winter CO₂ emissions in the Northern Hemisphere permafrost region Y. Wei et al. https://doi.org/10.59717/j.xinn-geo.2026.100185
130. Lake‐Area Expansion Alters Downwind Precipitation Patterns on the Tibetan Plateau: Insights From the Most Dramatically Expanded Lake Y. Qiu et al. https://doi.org/10.1029/2023JD039274
131. Slope Aspect Differentiation of the Freeze–Thaw Process of Seasonally Frozen Soil in the Great Xing’an Mountain and Its Response to Climate Warming H. Jiang et al. https://doi.org/10.3390/su18094294
132. Improved snow depth estimation on the Tibetan Plateau using AMSR2 and ensemble learning models Q. Gu et al. https://doi.org/10.1016/j.jag.2024.104102
133. A global dataset of terrestrial evapotranspiration and soil moisture dynamics from 1982 to 2020 K. Zhang et al. https://doi.org/10.1038/s41597-024-03271-7
134. Thaw slumps alter ecosystem carbon budget in alpine grassland on the Tibetan Plateau G. Jiang et al. https://doi.org/10.1038/s41467-025-66869-4
135. Quantifying Long Term (2000–2020) Water Balances Across Nepal by Integrating Remote Sensing and an Ecohydrological Model K. Jin et al. https://doi.org/10.3390/rs17111819
136. Multicentury flow reconstruction at four sites along the Yarlung Zangbo River J. Zeng et al. https://doi.org/10.1007/s11431-024-2793-6
137. Dense gauge observations-based evaluation of gridded precipitation in southwest China and its implication for future data development Z. Zhang et al. https://doi.org/10.1016/j.atmosres.2026.108816
138. Evaluating rainfall erosivity on the Tibetan Plateau by integrating high spatiotemporal resolution gridded precipitation and gauge data B. Yin et al. https://doi.org/10.1016/j.scitotenv.2024.174334
139. Comparison of multi-source merged precipitation products using independent gauge observations H. Zhang et al. https://doi.org/10.1016/j.atmosres.2025.108427
140. Modeling glacio-hydrological processes in the Himalayas: A review and future perspectives L. Wang et al. https://doi.org/10.1016/j.geosus.2024.01.001
141. A first evaluation of satellite soil moisture products over the Central-Western Tibetan Plateau using rain gauge observations C. Huang et al. https://doi.org/10.1016/j.jhydrol.2024.132617
142. Accuracy evaluation and comparison of GSMaP series for retrieving precipitation on the eastern edge of the Qinghai-Tibet Plateau C. Zhou et al. https://doi.org/10.1016/j.ejrh.2024.102017
143. Modelling α-Diversity and Abundance of Soil Bacterial and Fungal Communities in Tibetan Alpine Grasslands Using Climate Data and Normalized Difference Vegetation Index L. Tianyu et al. https://doi.org/10.5814/j.issn.1674-764x.2025.03.011
144. High-resolution ensemble precipitation and temperature datasets for CONUS based on a probabilistic geospatial estimation approach G. Tang et al. https://doi.org/10.1016/j.jhydrol.2025.134761
145. Intrinsic Water Use Efficiency as a Reliable Indicator of Drought Adaptation across Alpine Ecosystems on the Qinghai-Tibet Plateau F. Li et al. https://doi.org/10.1007/s41748-026-01207-2
146. Summer extreme precipitation patterns and synoptic-scale circulation precursors over the Tibetan Plateau Z. Ding et al. https://doi.org/10.1007/s11430-023-1321-6
147. Comprehensive assessment of various meteorological forcing datasets on the Tibetan Plateau: Insights from independent observations and multivariate comparisons R. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.133025
148. Evaluation of hourly summer precipitation products over the Tibetan Plateau: A comparative analysis of IMERG, CMORPH, and TPHiPr J. Jia et al. https://doi.org/10.1016/j.atmosres.2025.107955
149. Long-term monthly 0.05° terrestrial evapotranspiration dataset (1982–2018) for the Tibetan Plateau L. Yuan et al. https://doi.org/10.5194/essd-16-775-2024
150. Advancing the understanding of drought propagation in glacierized catchments by accounting for meltwater and catchment control in a newly introduced bi-stage framework Y. Ling et al. https://doi.org/10.1016/j.jhydrol.2026.135461
151. Risk prediction of catastrophic debris flows against the background of material changes and human engineering activity in the Wenchuan earthquake disturbance area J. Xiong et al. https://doi.org/10.1007/s10064-025-04243-w
152. Intercomparison of Gauge-Based, Reanalysis and Satellite Gridded Precipitation Datasets in High Mountain Asia: Insights from Observations and Discharge Data A. Spezza et al. https://doi.org/10.3390/cli13120253
153. Warm-Season Precipitation in the Eastern Pamir Plateau: Evaluation from Multi-Source Datasets and Elevation Dependence M. Yao et al. https://doi.org/10.3390/rs17193302
154. Characteristics of near‐surface soil freeze–thaw status using high resolution CLM5.0 simulations on the Tibetan Plateau Q. Peng et al. https://doi.org/10.1002/asl.1168
155. Evaluation of TPMFD and CRA/Land precipitation data performance compared to IMERG V07 on the Tibetan Plateau using non-CMA stations L. Gao et al. https://doi.org/10.1016/j.atmosres.2025.108123
156. Spatiotemporal changes of Indian monsoon-influenced precipitation over the world's highest large river: The Yarlung Zangbo River basin from a meridional wind perspective X. Tang et al. https://doi.org/10.1016/j.scitotenv.2026.181347
157. 色林错及邻近湖泊群对气候变化的响应差异研究 进. 孙 et al. https://doi.org/10.1360/SSTe-2025-0256
158. A dual-TransUNet deep learning framework for multi-source precipitation merging and improving seasonal and extreme estimates Y. Ye et al. https://doi.org/10.1016/j.ejrh.2026.103453
159. Cross-Examination of Reanalysis Datasets on Elevation-Dependent Climate Change in the Third Pole Region A. Rameshan et al. https://doi.org/10.3390/atmos16030327
160. Quick estimation of parameters for the land surface data assimilation system and its influence based on the extended Kalman filter and automatic differentiation J. Tian et al. https://doi.org/10.1007/s11430-022-1180-8
161. Future hydrological changes of the upstream basin and their effects on the water level of the Qinghai Lake X. Wang & B. Gao https://doi.org/10.1016/j.ejrh.2025.102425
162. Evaluation and comparison of 11 sets of gridded precipitation products over the Qinghai-Tibet Plateau P. Rao et al. https://doi.org/10.1016/j.atmosres.2024.107315
163. Effects of vegetation types on soil wetting pattern and preferential flow in arid mountainous areas of northwest China D. Xue et al. https://doi.org/10.1016/j.jhydrol.2024.131849
164. How do gridded meteorological datasets perform in a typical data-scarce cryospheric basin? Y. Chang et al. https://doi.org/10.1016/j.accre.2024.10.004
165. Refining daily precipitation estimates using machine learning and multi-source data in alpine regions with unevenly distributed gauges H. Lei et al. https://doi.org/10.1016/j.ejrh.2025.102272