113 citations as recorded by crossref.

1. Toward a definition of Essential Mountain Climate Variables J. Thornton et al. https://doi.org/10.1016/j.oneear.2021.05.005
2. Continuous Spatio-Temporal High-Resolution Estimates of SWE Across the Swiss Alps – A Statistical Two-Step Approach for High-Mountain Topography M. Guidicelli et al. https://doi.org/10.3389/feart.2021.664648
3. Elevation bias due to penetration of spaceborne radar signal on Grosser Aletschgletscher, Switzerland J. Bannwart et al. https://doi.org/10.1017/jog.2024.37
4. A novel framework to investigate wind-driven snow redistribution over an Alpine glacier: combination of high-resolution terrestrial laser scans and large-eddy simulations A. Voordendag et al. https://doi.org/10.5194/tc-18-849-2024
5. Crafting regenerative management skills through teaching of enterprise in place: Insights from an Irish regional university A. Kearney et al. https://doi.org/10.1016/j.ijme.2025.101268
6. Accounting for permafrost creep in high-resolution snow depth mapping by modelling sub-snow ground deformation J. Goetz et al. https://doi.org/10.1016/j.rse.2019.111275
7. Mapping snow cover frequency at 30 m for studying seasonal variations and topographic controls on the Tibetan Plateau G. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.133303
8. Opportunities and Challenges Arising from Rapid Cryospheric Changes in the Southern Altai Mountains, China W. Zhang et al. https://doi.org/10.3390/app12031406
9. Spatially continuous snow depth mapping by aeroplane photogrammetry for annual peak of winter from 2017 to 2021 in open areas L. Bührle et al. https://doi.org/10.5194/tc-17-3383-2023
10. Assessment of snow cover mapping algorithms from Landsat surface reflectance data and application to automated snowline delineation X. Xiao & S. Liang https://doi.org/10.1016/j.rse.2024.114163
11. Snow cover duration and extent for Great Britain in a changing climate: Altitudinal variations and synoptic‐scale influences I. Brown https://doi.org/10.1002/joc.6090
12. Snow climatology for the mountains in the Iberian Peninsula using satellite imagery and simulations with dynamically downscaled reanalysis data E. Alonso‐González et al. https://doi.org/10.1002/joc.6223
13. Evaluation of temporal consistency of snow depth drivers of a Rocky Mountain watershed in southern Alberta K. Cartwright et al. https://doi.org/10.1002/hyp.13920
14. Climatology of snow depth and water equivalent measurements in the Italian Alps (1967–2020) R. Ranzi et al. https://doi.org/10.5194/hess-28-2555-2024
15. Seasonal snow depth dataset over flat terrains in the Northern Hemisphere based on ICESat-2 data from 2018 to 2020 D. Feng et al. https://doi.org/10.1080/17538947.2025.2528632
16. Understanding subgrid variability of snow depth at 1‐km scale using Lidar measurements S. He et al. https://doi.org/10.1002/hyp.13415
17. The Seasonal Snow Cover Dynamics: Review on Wind-Driven Coupling Processes R. Mott et al. https://doi.org/10.3389/feart.2018.00197
18. Development of a global operational snow analysis: The US Air Force Snow and Ice Analysis Y. Yoon et al. https://doi.org/10.1016/j.rse.2022.113080
19. Analyzing the sensitivity of a blowing snow model (SnowPappus) to precipitation forcing, blowing snow, and spatial resolution A. Haddjeri et al. https://doi.org/10.5194/tc-18-3081-2024
20. Multi-physics ensemble snow modelling in the western Himalaya D. Pritchard et al. https://doi.org/10.5194/tc-14-1225-2020
21. Leveraging snow probe data, lidar, and machine learning for snow depth estimation in complex-terrain environments D. Liljestrand et al. https://doi.org/10.5194/tc-19-3123-2025
22. Investigating the Variability of High-Elevation Seasonal Orographic Snowfall Enhancement and Its Drivers across Sierra Nevada, California L. Huning & S. Margulis https://doi.org/10.1175/JHM-D-16-0254.1
23. Retrieval of Spatial and Temporal Variability in Snowpack Depth over Glaciers in Svalbard Using GPR and Spaceborne POLSAR Measurements G. Singh et al. https://doi.org/10.3390/w12010021
24. Regional sensitivities of seasonal snowpack to elevation, aspect, and vegetation cover in western North America C. Tennant et al. https://doi.org/10.1002/2016WR019374
25. Coupling the WRF model with a temperature index model based on remote sensing for snowmelt simulations in a river basin in the Altay Mountains, north‐west China X. Wu et al. https://doi.org/10.1002/hyp.10924
26. Elevation shapes alpine snow algal blooms and their influence on albedo reduction P. Almela et al. https://doi.org/10.1111/nph.71360
27. Pursuit of Optimal Design for Winter-Balance Surveys of Valley-Glacier Ablation Areas A. Pulwicki et al. https://doi.org/10.3389/feart.2019.00199
28. Comparison of Snowmelt Runoff from the River Basins in the Eastern and Western Himalayan Region of India using SDSRM L. Kiba et al. https://doi.org/10.1007/s12524-021-01384-9
29. Precipitation fields in an alpine Mediterranean catchment: Inversion of precipitation gradient with elevation or undercatch of snowfall? A. Collados‐Lara et al. https://doi.org/10.1002/joc.5517
30. Classification of Snow Cover Persistence across China H. Li et al. https://doi.org/10.3390/w14060933
31. Improved estimation of daily blue-sky snow shortwave albedo from MODIS data and reanalysis information A. Ding et al. https://doi.org/10.1016/j.srs.2024.100163
32. Impacts of landscape and climatic factors on snow cover in the Altai Mountains, China X. Zhong et al. https://doi.org/10.1016/j.accre.2021.01.005
33. Which empirical model is best suited to simulate glacier mass balances? M. RÉVEILLET et al. https://doi.org/10.1017/jog.2016.110
34. Learning about precipitation lapse rates from snow course data improves water balance modeling F. Avanzi et al. https://doi.org/10.5194/hess-25-2109-2021
35. Snow cover change assessment in the upper Bhagirathi basin using an enhanced cloud removal algorithm M. Singh et al. https://doi.org/10.1080/10106049.2019.1704069
36. On the hydrological difference between catchments above and below the intermittent‐persistent snow transition H. Harrison et al. https://doi.org/10.1002/hyp.14411
37. Advances and prospects in reconstruction approaches for snow cover mapping using polar-orbiting satellites J. Zhang et al. https://doi.org/10.3389/feart.2025.1649808
38. A Downscaling Intercomparison Study: The Representation of Slope- and Ridge-Scale Processes in Models of Different Complexity B. Kruyt et al. https://doi.org/10.3389/feart.2022.789332
39. Reanalyzing the spatial representativeness of snow depth at automated monitoring stations using airborne lidar data J. Herbert et al. https://doi.org/10.5194/tc-18-3495-2024
40. Interactions between thresholds and spatial discretizations of snow: insights from estimates of wolverine denning habitat in the Colorado Rocky Mountains J. Pflug et al. https://doi.org/10.5194/hess-27-2747-2023
41. Comparing Mountain Snowpack Depth Model Results from Different Airborne Laser Scanning Flight Path Samples C. Barnes & C. Hopkinson https://doi.org/10.1080/07038992.2021.1999797
42. Projections of Alpine Snow-Cover in a High-Resolution Climate Simulation S. Lüthi et al. https://doi.org/10.3390/atmos10080463
43. Monitoring of Snow Cover Ablation Using Very High Spatial Resolution Remote Sensing Datasets R. Eker et al. https://doi.org/10.3390/rs11060699
44. Mapping snow depth in open alpine terrain from stereo satellite imagery R. Marti et al. https://doi.org/10.5194/tc-10-1361-2016
45. A seasonal snowpack model forced with dynamically downscaled forcing data resolves hydrologically relevant accumulation patterns J. Berg et al. https://doi.org/10.3389/feart.2024.1393260
46. Fractional snow-covered area: scale-independent peak of winter parameterization N. Helbig et al. https://doi.org/10.5194/tc-15-615-2021
47. Study of snow cover/depth evolution characteristics in Tianshan region of China based on geographical partition W. Qiao et al. https://doi.org/10.1038/s41598-023-29494-z
48. The snow meteorology and phenology classification (SnowMAP): global snow cover observations enhance snow’s representation J. Johnston et al. https://doi.org/10.1038/s41598-026-44321-x
49. Enhancing Regional Quasi-Geoid Refinement Precision: An Analytical Approach Employing ADS80 Tri-Linear Array Stereoscopic Imagery and GNSS Gravity-Potential Leveling W. Xu et al. https://doi.org/10.3390/rs16162984
50. Seasonal and Ephemeral Snowpacks of the Conterminous United States B. Hatchett https://doi.org/10.3390/hydrology8010032
51. Rainfall variability in the mountain forest catchments of Černá Opava tributaries in the Jeseníky Mountains V. Šrámek et al. https://doi.org/10.17221/96/2024-JFS
52. Evaluating the Uncertainties in the SWAT Model Outputs due to DEM Grid Size and Resampling Techniques in a Large Himalayan River Basin B. Kumar et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001569
53. Evaluating the effects of timber harvest on hydrologically sensitive areas and hydrologic response M. Zhao et al. https://doi.org/10.1016/j.jhydrol.2020.125805
54. Quantifying regional variability of machine-learning-based snow water equivalent estimates across the Western United States D. Liljestrand et al. https://doi.org/10.1016/j.envsoft.2024.106053
55. Quantifying the Spatial Variability of a Snowstorm Using Differential Airborne Lidar W. Brandt et al. https://doi.org/10.1029/2019WR025331
56. Density-dependent behaviors shape spatial redistribution of mountain ungulate abundance after a population die-off Z. Delisle et al. https://doi.org/10.1007/s10980-026-02340-z
57. Impact of temperature and precipitation lapse rate on hydrological modelling over Himalayan Gandak River Basin B. Kumar et al. https://doi.org/10.1007/s11629-020-6602-5
58. Machine learning-based estimation of fractional snow cover in the Hindukush Mountains using MODIS and Landsat data A. Haseeb Azizi et al. https://doi.org/10.1016/j.jhydrol.2024.131579
59. Modelling surface runoff using the soil conservation service-curve number method in a drought prone agro-ecological zone in Rwanda D. Uwizeyimana et al. https://doi.org/10.1016/j.iswcr.2018.12.001
60. High-Resolution Reconstruction of the Maximum Snow Water Equivalent Based on Remote Sensing Data in a Mountainous Area M. Liu et al. https://doi.org/10.3390/rs12030460
61. High‐Resolution Large Eddy Simulation of Snow Accumulation in Alpine Terrain V. Vionnet et al. https://doi.org/10.1002/2017JD026947
62. Spatiotemporal Variability of Monthly and Annual Snow Depths in Xinjiang, China over 1961–2015 and the Potential Effects Y. Liu et al. https://doi.org/10.3390/w11081666
63. Intercomparison of Sentinel-2 and modelled snow cover maps in a high-elevation Alpine catchment F. Hofmeister et al. https://doi.org/10.1016/j.hydroa.2022.100123
64. Spatiotemporal variability of snow depth across the Eurasian continent from 1966 to 2012 X. Zhong et al. https://doi.org/10.5194/tc-12-227-2018
65. The Role of Basin Geometry in Mountain Snowpack Responses to Climate Change J. Shea et al. https://doi.org/10.3389/frwa.2021.604275
66. Substrate properties, forest structure and climate influences wood-inhabiting fungal diversity in broadleaved and mixed forests from Northeastern Romania O. Copoț & C. Tănase https://doi.org/10.5424/fs/2020293-16728
67. Topographic and vegetation effects on snow accumulation in the southern Sierra Nevada: a statistical summary from lidar data Z. Zheng et al. https://doi.org/10.5194/tc-10-257-2016
68. Steep and deep: Terrain and climate factors explain brown bear (Ursus arctos) alpine den site selection to guide heli-skiing management A. Crupi et al. https://doi.org/10.1371/journal.pone.0238711
69. Freshwater input to the Arctic fjord Hornsund (Svalbard) M. Błaszczyk et al. https://doi.org/10.33265/polar.v38.3506
70. Climate-driven phase transitions and ensemble scenario simulations of spatiotemporal dynamics in snow cover area across the Tianshan Mountains, Central Asia M. Wang et al. https://doi.org/10.1016/j.ecolind.2025.114210
71. A multi-objective approach to improve SWAT model calibration in alpine catchments Y. Tuo et al. https://doi.org/10.1016/j.jhydrol.2018.02.055
72. Snow simulations predict future changes in rain-on-snow events across the upper Gallatin River watershed, a Greater Yellowstone Ecosystem headwater system S. Newcomb et al. https://doi.org/10.1016/j.ejrh.2026.103253
73. Calibration of snow parameters in SWAT: comparison of three approaches in the Upper Adige River basin (Italy) Y. Tuo et al. https://doi.org/10.1080/02626667.2018.1439172
74. Machine Learning Based Imputation of Mountain Snowpack Depth within an Operational LiDAR Sampling Framework in Southwest Alberta K. Cartwright et al. https://doi.org/10.1080/07038992.2021.1988540
75. Reconstruction of the Historical (1750–2020) Mass Balance of Bordu, Kara-Batkak and Sary-Tor Glaciers in the Inner Tien Shan, Kyrgyzstan L. Van Tricht et al. https://doi.org/10.3389/feart.2021.734802
76. openAMUNDSEN v1.0: an open-source snow-hydrological model for mountain regions U. Strasser et al. https://doi.org/10.5194/gmd-17-6775-2024
77. PERMACLIM 2.0: a Revised Model for High-Resolution Mapping of Permafrost Conditions in Mountain Regions E. Riva et al. https://doi.org/10.1007/s41651-026-00269-0
78. Use of multiple reference data sources to cross-validate gridded snow water equivalent products over North America C. Mortimer et al. https://doi.org/10.5194/tc-18-5619-2024
79. Snowfall, Temperature, and the Risk of Death From Myocardial Infarction: A Case-Crossover Study W. Gan et al. https://doi.org/10.1093/aje/kwaa029
80. Snow Depth Patterns in a High Mountain Andean Catchment from Satellite Optical Tristereoscopic Remote Sensing T. Shaw et al. https://doi.org/10.1029/2019WR024880
81. Seasonal components of freshwater runoff in Glacier Bay, Alaska: diverse spatial patterns and temporal change R. Crumley et al. https://doi.org/10.5194/tc-13-1597-2019
82. Improving hydropower inflow forecasts by assimilating snow data J. Magnusson et al. https://doi.org/10.2166/nh.2020.025
83. Mapping snow depth and spatial variability using SFM photogrammetry of UAV images over rugged mountainous regions of the Western Himalaya S. Dewali et al. https://doi.org/10.1080/10106049.2022.2127923
84. Spatial Distribution and Scaling Properties of Lidar‐Derived Snow Depth in the Extratropical Andes P. Mendoza et al. https://doi.org/10.1029/2020WR028480
85. A combined data assimilation and deep learning approach for continuous spatio-temporal SWE reconstruction from sparse ground tracks M. Guidicelli et al. https://doi.org/10.1016/j.hydroa.2024.100190
86. The European mountain cryosphere: a review of its current state, trends, and future challenges M. Beniston et al. https://doi.org/10.5194/tc-12-759-2018
87. Estimating winter balance and its uncertainty from direct measurements of snow depth and density on alpine glaciers A. PULWICKI et al. https://doi.org/10.1017/jog.2018.68
88. FROSTBYTE: a reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America L. Arnal et al. https://doi.org/10.5194/hess-28-4127-2024
89. Spectral Albedo Estimation of Snow Covers in Pakistan Using Landsat Data M. Butt et al. https://doi.org/10.1007/s41748-019-00104-1
90. Influence of Slope‐Scale Snowmelt on Catchment Response Simulated With the Alpine3D Model T. Brauchli et al. https://doi.org/10.1002/2017WR021278
91. Regional regression models of percentile flows for the contiguous United States: Expert versus data-driven independent variable selection G. Fouad et al. https://doi.org/10.1016/j.ejrh.2018.04.002
92. MAPunet: High-resolution snow depth mapping through U-Net pixel-wise regression A. Betato et al. https://doi.org/10.1016/j.rsase.2025.101477
93. ESTIMATING SPATIAL AND TEMPORAL SNOW DISTRIBUTION USING NUMERICAL MODEL AND SATELLITE REMOTE SENSING IN THE WESTERN HINDUKUSH-HIMALAYA REGION A. AZIZI & Y. ASAOKA https://doi.org/10.2208/jscejer.75.I_125
94. Operational algorithm for generation of snow depth maps from discrete data in Indian Western Himalaya H. Gusain et al. https://doi.org/10.1016/j.coldregions.2016.02.012
95. Assessing climate change impact on glacier runoff in the Upper Yukon Watershed: A Comparative study of CMIP5 and CMIP6 projections C. Doumbia et al. https://doi.org/10.1016/j.jhydrol.2025.134398
96. Characterizing Spatiotemporal Patterns of Snowfall in the Kaidu River Basin from 2000–2020 Using MODIS Observations J. Wang et al. https://doi.org/10.3390/rs14225885
97. Multilevel spatiotemporal validation of snow/ice mass balance and runoff modeling in glacierized catchments F. Hanzer et al. https://doi.org/10.5194/tc-10-1859-2016
98. Snow depth variability across the Qinghai Plateau and its influencing factors during 1980–2018 H. Ma et al. https://doi.org/10.1002/joc.7883
99. Machine‐Learning Estimation of Snow Depth in 2021 Texas Statewide Winter Storm Using SAR Imagery X. Yu et al. https://doi.org/10.1029/2022GL099119
100. Grand Challenges in Cryospheric Sciences: Toward Better Predictability of Glaciers, Snow and Sea Ice R. Hock et al. https://doi.org/10.3389/feart.2017.00064
101. Sensitivity of active-layer freezing process to snow cover in Arctic Alaska Y. Yi et al. https://doi.org/10.5194/tc-13-197-2019
102. A conceptual, distributed snow redistribution model S. Frey & H. Holzmann https://doi.org/10.5194/hess-19-4517-2015
103. Effects of spatial and temporal variability in surface water inputs on streamflow generation and cessation in the rain–snow transition zone L. Kiewiet et al. https://doi.org/10.5194/hess-26-2779-2022
104. Climatology of seasonal snowfall accumulation across the Sierra Nevada (USA): Accumulation rates, distributions, and variability L. Huning & S. Margulis https://doi.org/10.1002/2017WR020915
105. Reconstruction of Snow Depth Data at Moderate Spatial Resolution (1 km) from Remotely Sensed Snow Data and Multiple Optimized Environmental Factors: A Case Study over the Qinghai-Tibetan Plateau P. Wei et al. https://doi.org/10.3390/rs13040657
106. Montane Seasonal and Elevational Precipitation Gradients in the Southern Rockies of Alberta, Canada C. Barnes et al. https://doi.org/10.1002/hyp.70061
107. Multi-scale snowdrift-permitting modelling of mountain snowpack V. Vionnet et al. https://doi.org/10.5194/tc-15-743-2021
108. High-resolution mountain topography can inform global snow vulnerability estimates A. Marshall et al. https://doi.org/10.1088/1748-9326/ae2d73
109. Subgrid parameterization for snow depth over mountainous terrain from flat field snow depth N. Helbig & A. van Herwijnen https://doi.org/10.1002/2016WR019872
110. The Importance of Near-Surface Winter Precipitation Processes in Complex Alpine Terrain F. Gerber et al. https://doi.org/10.1175/JHM-D-18-0055.1
111. A machine learning approach for estimating snow depth across the European Alps from Sentinel-1 imagery D. Dunmire et al. https://doi.org/10.1016/j.rse.2024.114369
112. Changes in the Skuta Glacier (southeastern Alps) assessed using non-metric images M. Triglav Čekada et al. https://doi.org/10.3986/AGS.7674
113. Modeling Spatial Distribution of Snow Water Equivalent by Combining Meteorological and Satellite Data with Lidar Maps U. Mital et al. https://doi.org/10.1175/AIES-D-22-0010.1