54 citations as recorded by crossref.

1. Potential future changes of terrestrial water storage based on climate projections by ensemble model simulations B. Jia et al. https://doi.org/10.1016/j.advwatres.2020.103635
2. Benefit of incorporating GLASS remote sensing vegetation products in improving Noah-MP land surface temperature simulations on the Tibetan Plateau Q. He et al. https://doi.org/10.1016/j.srs.2023.100115
3. Development of a daily soil moisture product for the period of 2002–2011 in Chinese mainland K. Yang et al. https://doi.org/10.1007/s11430-019-9588-5
4. Spatially distinct effects of preceding precipitation on heat stress over eastern China X. Liu et al. https://doi.org/10.1088/1748-9326/aa88f8
5. Spatio-temporal patterns of evapotranspiration based on upscaling eddy covariance measurements in the dryland of the North China Plain B. Fang et al. https://doi.org/10.1016/j.agrformet.2019.107844
6. Recent accelerating mass loss of southeast Tibetan glaciers and the relationship with changes in macroscale atmospheric circulations W. Yang et al. https://doi.org/10.1007/s00382-015-2872-y
7. Meteorological Forcing Datasets for Blowing Snow Modeling on the Tibetan Plateau: Evaluation and Intercomparison Z. Xie et al. https://doi.org/10.1175/JHM-D-17-0075.1
8. Systematic Hydrological Evaluation of the Noah-MP Land Surface Model over China J. Liang et al. https://doi.org/10.1007/s00376-019-9016-y
9. Exploring the potential role of environmental and multi-source satellite data in crop yield prediction across Northeast China Z. Li et al. https://doi.org/10.1016/j.scitotenv.2021.152880
10. Exploiting the Topographic Information in a PDM-Based Conceptual Hydrological Model L. Noto https://doi.org/10.1061/(ASCE)HE.1943-5584.0000908
11. Effects of anthropogenic water regulation and groundwater lateral flow on land processes Y. Zeng et al. https://doi.org/10.1002/2016MS000646
12. Impact of the snow cover scheme on snow distribution and energy budget modeling over the Tibetan Plateau Z. Xie et al. https://doi.org/10.1007/s00704-016-2020-6
13. Improving the simulation of terrestrial water storage anomalies over China using a Bayesian model averaging ensemble approach J. LIU et al. https://doi.org/10.1080/16742834.2018.1484656
14. Ensemble simulation of land evapotranspiration in China based on a multi-forcing and multi-model approach J. Liu et al. https://doi.org/10.1007/s00376-016-5213-0
15. Estimates of the Land Surface Hydrology from the Community Land Model Version 5 (CLM5) with Three Meteorological Forcing Datasets over China D. Wang et al. https://doi.org/10.3390/rs16030550
16. How well do the CMIP6 climate models capture terrestrial water storage variations in data-scarce basins originating from the high mountains of Asia? X. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.133677
17. Assessment and Reduction of the Physical Parameterization Uncertainty for Noah‐MP Land Surface Model Y. Gan et al. https://doi.org/10.1029/2019WR024814
18. An assessment of impacts of land-cover changes on root-zone soil moisture J. Yin et al. https://doi.org/10.1080/01431161.2015.1111539
19. Method development for estimating soil organic carbon content in an alpine region using soil moisture data Q. Luo et al. https://doi.org/10.1007/s11430-019-9554-8
20. A modeling study of irrigation effects on global surface water and groundwater resources under a changing climate G. Leng et al. https://doi.org/10.1002/2015MS000437
21. Improving Surface Soil Moisture Simulation in FGOALS-g3 Over Southeastern China: The Role of Soil Texture K. Xia et al. https://doi.org/10.1007/s44393-026-00016-0
22. Interannual Variations and Trends in Remotely Sensed and Modeled Soil Moisture in China B. Jia et al. https://doi.org/10.1175/JHM-D-18-0003.1
23. Improving Land Surface Temperature Simulation in CoLM Over the Tibetan Plateau Through Fractional Vegetation Cover Derived From a Remotely Sensed Clumping Index and Model‐Simulated Leaf Area Index C. Li et al. https://doi.org/10.1029/2018JD028640
24. The Evaluation of SMAP Enhanced Soil Moisture Products Using High-Resolution Model Simulations and In-Situ Observations on the Tibetan Plateau C. Li et al. https://doi.org/10.3390/rs10040535
25. Spatial Difference of Terrestrial Water Storage Change and Lake Water Storage Change in the Inner Tibetan Plateau B. Qiao et al. https://doi.org/10.3390/rs13101984
26. Differences and cause analysis of changes in lakes of different supply types in the north‐western Tibetan Plateau B. Qiao & L. Zhu https://doi.org/10.1002/hyp.11215
27. Spatial variation of human influences on grassland biomass on the Qinghai-Tibetan plateau C. Li et al. https://doi.org/10.1016/j.scitotenv.2019.01.321
28. Improving Land Surface Hydrological Simulations in China Using CLDAS Meteorological Forcing Data J. Liu et al. https://doi.org/10.1007/s13351-019-9067-0
29. Spatiotemporal pattern of terrestrial evapotranspiration in China during the past thirty years X. Li et al. https://doi.org/10.1016/j.agrformet.2018.04.020
30. Development of a 10-year (2001–2010) 0.1° data set of land-surface energy balance for mainland China X. Chen et al. https://doi.org/10.5194/acp-14-13097-2014
31. InterComparison and Evaluation of MultiSource Soil Moisture Products in China H. Li et al. https://doi.org/10.1029/2021EA001845
32. Soil moisture drought detection and multi-temporal variability across China M. Li & Z. Ma https://doi.org/10.1007/s11430-015-5076-8
33. Temporal-spatial differences in lake water storage changes and their links to climate change throughout the Tibetan Plateau B. Qiao et al. https://doi.org/10.1016/j.rse.2018.12.037
34. Estimation of Evapotranspiration and Its Components across China Based on a Modified Priestley–Taylor Algorithm Using Monthly Multi-Layer Soil Moisture Data W. Xing et al. https://doi.org/10.3390/rs13163118
35. Modeling Evapotranspiration over China’s Landmass from 1979 to 2012 Using Multiple Land Surface Models: Evaluations and Analyses S. Sun et al. https://doi.org/10.1175/JHM-D-16-0212.1
36. Numerical study on the response of the largest lake in China to climate change D. Su et al. https://doi.org/10.5194/hess-23-2093-2019
37. Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012 C. Han et al. https://doi.org/10.1002/joc.5119
38. Evaporative Fluxes and Surface Soil Moisture Retrievals in a Mediterranean Setting from Sentinel-3 and the “Simplified Triangle” G. Petropoulos et al. https://doi.org/10.3390/rs12193192
39. Water harvesting from soils by light-to-heat induced evaporation and capillary water migration X. Li et al. https://doi.org/10.1016/j.applthermaleng.2020.115417
40. Evaluation of nine sub-daily soil moisture model products over China using high-resolution in situ observations Y. Chen & H. Yuan https://doi.org/10.1016/j.jhydrol.2020.125054
41. Modeling the Effects of Lakes in the Tibetan Plateau on Diurnal Variations of Regional Climate and Their Seasonality L. Zhu et al. https://doi.org/10.1175/JHM-D-20-0091.1
42. A First Exploration of the Ts/VI “Analytical Triangle” Technique with UAV Imagery for Deriving Key Surface Energy Balance Parameters at Very High Spatial Resolution G. Petropoulos et al. https://doi.org/10.3390/drones8070290
43. Impacts of modified Richards equation on RegCM4 regional climate modeling over East Asia Y. Yu et al. https://doi.org/10.1002/2014JD021872
44. An assessment of remotely sensed surface and root zone soil moisture through active and passive sensors in northeast Asia E. Cho et al. https://doi.org/10.1016/j.rse.2015.01.013
45. Difference and cause analysis of water storage changes for glacier-fed and non-glacier-fed lakes on the Tibetan Plateau B. Qiao & L. Zhu https://doi.org/10.1016/j.scitotenv.2019.07.205
46. Extending GRACE terrestrial water storage anomalies by combining the random forest regression and a spatially moving window structure W. Jing et al. https://doi.org/10.1016/j.jhydrol.2020.125239
47. Suitability of Satellite-Based Precipitation Products for Water Balance Simulations Using Multiple Observations in a Humid Catchment D. Zhang et al. https://doi.org/10.3390/rs11020151
48. Quantifying evaporation and its decadal change for Lake Nam Co, central Tibetan Plateau K. Yang et al. https://doi.org/10.1002/2015JD024523
49. Effects of soil‐type datasets on regional terrestrial water cycle simulations under different climatic regimes H. Zheng & Z. Yang https://doi.org/10.1002/2016JD025187
50. Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors H. Beck et al. https://doi.org/10.5194/hess-25-17-2021
51. Review on Urban Flood Risk Assessment C. Li et al. https://doi.org/10.3390/su15010765
52. Lake water storage change estimation and its linkage with terrestrial water storage change in the northeastern Tibetan Plateau Y. Li et al. https://doi.org/10.1007/s11629-020-6474-8
53. Elucidating Dominant Factors Affecting Land Surface Hydrological Simulations of the Community Land Model over China J. Liu et al. https://doi.org/10.1007/s00376-022-2091-5
54. Land surface model calibration through microwave data assimilation for improving soil moisture simulations K. Yang et al. https://doi.org/10.1016/j.jhydrol.2015.12.018