80 citations as recorded by crossref.

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26. The Utility of Infrequent Snow Depth Images for Deriving Continuous Space‐Time Estimates of Seasonal Snow Water Equivalent S. Margulis et al. https://doi.org/10.1029/2019GL082507
27. Improving the downscaled springtime temperature in Central Asia through assimilating meteorological and snow cover observations Y. Yao et al. https://doi.org/10.1016/j.atmosres.2021.105619
28. Implications of observation-enhanced energy-balance snowmelt simulations for runoff modeling of Alpine catchments N. Griessinger et al. https://doi.org/10.1016/j.advwatres.2019.103410
29. Prediction of Snowmelt Days Using Binary Logistic Regression in the Umbria-Marche Apennines (Central Italy) M. Gentilucci & G. Pambianchi https://doi.org/10.3390/w14091495
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31. Evaluation and Mapping of Snow Characteristics Using Remote Sensing Data in Astore River Basin, Pakistan I. Khan et al. https://doi.org/10.3390/atmos16050550
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33. Derivation of a new model for estimation of snow water equivalent in mountainous basins M. Yarahmadi et al. https://doi.org/10.1007/s42990-025-00196-0
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35. Snow water equivalent in the Western Sudetes and its changes in the light of a changing climate G. Urban https://doi.org/10.1016/j.ejrh.2024.101881
36. Enhancing SWAT’s snow module for multivariate Elevation-dependent snow and streamflow data assimilation M. Bayat et al. https://doi.org/10.1016/j.jhydrol.2025.133153
37. Exploring the potential of thermal infrared remote sensing to improve a snowpack model through an observing system simulation experiment E. Alonso-González et al. https://doi.org/10.5194/tc-17-3329-2023
38. Correcting for Systematic Underestimation of Topographic Glacier Aerodynamic Roughness Values From Hintereisferner, Austria J. Chambers et al. https://doi.org/10.3389/feart.2021.691195
39. CrocO_v1.0: a particle filter to assimilate snowpack observations in a spatialised framework B. Cluzet et al. https://doi.org/10.5194/gmd-14-1595-2021
40. Albedo Parametrizations for the Laohugou Glacier No.12 in the Qilian Mountains—Previous Models and an Alternative Approach L. Wang et al. https://doi.org/10.3389/feart.2021.798027
41. A Revised Snow Cover Algorithm to Improve Discrimination between Snow and Clouds: A Case Study in Gran Paradiso National Park C. Richiardi et al. https://doi.org/10.3390/rs13101957
42. An improved modeling of precipitation phase and snow in the Lancang River Basin in Southwest China Z. Han et al. https://doi.org/10.1007/s11431-020-1788-4
43. The Multiple Snow Data Assimilation System (MuSA v1.0) E. Alonso-González et al. https://doi.org/10.5194/gmd-15-9127-2022
44. Spatial and temporal patterns of snowmelt refreezing in a Himalayan catchment S. Veldhuijsen et al. https://doi.org/10.1017/jog.2021.101
45. Improving Snow Estimates Through Assimilation of MODIS Fractional Snow Cover Data Using Machine Learning Algorithms and the Common Land Model J. Hou et al. https://doi.org/10.1029/2020WR029010
46. Passive Microwave Brightness Temperature Assimilation to Improve Snow Mass Estimation Across Complex Terrain in Pakistan, Afghanistan, and Tajikistan J. Ahmad et al. https://doi.org/10.1109/JSTARS.2021.3102965
47. Assimilation of Sentinel-2 Data into a Snowpack Model in the High Atlas of Morocco M. Baba et al. https://doi.org/10.3390/rs10121982
48. Estimation of Daily Spatial Snow Water Equivalent from Historical Snow Maps and Limited In-Situ Measurements S. Malek et al. https://doi.org/10.3390/hydrology7030046
49. Projected changes to Northern Hemisphere snow conditions over the period 1950–2100, given two emission scenarios D. Eythorsson et al. https://doi.org/10.1016/j.rsase.2023.100954
50. 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
51. Snow depth variability in the Northern Hemisphere mountains observed from space H. Lievens et al. https://doi.org/10.1038/s41467-019-12566-y
52. SNOWMELT FLOOD OCCURRENCE PREDICTION METHOD USING HIGH ALTITUDE SNOW DATA S. KUROSAWA & S. KAZAMA https://doi.org/10.2208/jscejj.24-16077
53. The complementary value of cosmic-ray neutron sensing and snow covered area products for snow hydrological modelling P. Schattan et al. https://doi.org/10.1016/j.rse.2019.111603
54. Current Practice and Recommendations for Modelling Global Change Impacts on Water Resource in the Himalayas A. Momblanch et al. https://doi.org/10.3390/w11061303
55. SNOWMELT FLOOD FORECASTING IN THE YONESHIRO RIVER USING SNOWMELT MODEL AND PARTICLE FILTER S. KUROSAWA et al. https://doi.org/10.2208/jscejhe.77.2_I_307
56. Passive Microwave Remote Sensing of Snow Depth: Techniques, Challenges and Future Directions S. Tanniru & R. Ramsankaran https://doi.org/10.3390/rs15041052
57. Assessing the impact of distributed snow water equivalent calibration and assimilation of Copernicus snow water equivalent on modelled snow and streamflow performance A. Beaton et al. https://doi.org/10.1002/hyp.15075
58. Spectral Albedo Estimation of Snow Covers in Pakistan Using Landsat Data M. Butt et al. https://doi.org/10.1007/s41748-019-00104-1
59. Fine-Resolution Satellite Remote Sensing Improves Spatially Distributed Snow Modeling to Near Real Time G. Sexstone et al. https://doi.org/10.3390/rs17101704
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61. Characterizing biases in accuracy comparison of multiple snow products by error decomposition over the Tibetan Plateau Z. Zhu et al. https://doi.org/10.1016/j.jhydrol.2025.134232
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63. Trend analysis of climatic variables and their relation to snow cover and water availability in the Central Himalayas: a case study of Langtang Basin, Nepal S. Thapa et al. https://doi.org/10.1007/s00704-020-03096-5
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66. An Enkf-Based Scheme for Snow Multivariable Data Assimilation at an Alpine Site G. Piazzi et al. https://doi.org/10.2478/johh-2018-0013
67. Investigating the critical influencing factors of snowmelt runoff and development of a mid-long term snowmelt runoff forecasting H. Zhao et al. https://doi.org/10.1007/s11442-023-2131-9
68. Cloud-free snow cover mapping for change detection using landsat-8/sentinel-2 and WSI in the Chitral Basin (2015–2020) I. Munir & W. Hassan https://doi.org/10.1007/s12517-026-12510-7
69. Spatiotemporal Variability in Snow Parameters from MODIS Data Using Spatially Distributed Snowmelt Runoff Model (SDSRM): a Case Study in Dibang Basin, Arunachal Pradesh V. Nunchhani et al. https://doi.org/10.1007/s12524-020-01215-3
70. Multi-physics ensemble snow modelling in the western Himalaya D. Pritchard et al. https://doi.org/10.5194/tc-14-1225-2020
71. A Model Setup for Mapping Snow Conditions in High-Mountain Himalaya T. Saloranta et al. https://doi.org/10.3389/feart.2019.00129
72. Impact of climate change on snowmelt runoff in a Himalayan basin, Nepal S. Thapa et al. https://doi.org/10.1007/s10661-021-09197-6
73. Effect of shadow on atmospheric and topographic processed NDSI values in Chenab basin, western Himalayas A. Jasrotia et al. https://doi.org/10.1016/j.coldregions.2022.103561
74. Quantifying the observational requirements of a space-borne LiDAR snow mission Y. Kwon et al. https://doi.org/10.1016/j.jhydrol.2021.126709
75. The Utility of Optical Satellite Winter Snow Depths for Initializing a Glacio‐Hydrological Model of a High‐Elevation, Andean Catchment T. Shaw et al. https://doi.org/10.1029/2020WR027188
76. Reducing hydrological modelling uncertainty by using MODIS snow cover data and a topography-based distribution function snowmelt model N. Di Marco et al. https://doi.org/10.1016/j.jhydrol.2021.126020
77. Climate change decisive for Asia’s snow meltwater supply P. Kraaijenbrink et al. https://doi.org/10.1038/s41558-021-01074-x
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