23 citations as recorded by crossref.

1. More than a century of direct glacier mass-balance observations on Claridenfirn, Switzerland M. Huss et al. 10.1017/jog.2021.22
2. Glaciers Variation at ‘Shocking’ Pace in the Northeastern Margin of Tibetan Plateau from 1957 to 21st Century: A Case Study of Qiyi Glacier P. Shi et al. 10.3390/atmos14040723
3. Sub-kilometer Precipitation Datasets for Snowpack and Glacier Modeling in Alpine Terrain V. Vionnet et al. 10.3389/feart.2019.00182
4. A two-fold deep-learning strategy to correct and downscale winds over mountains L. Le Toumelin et al. 10.5194/npg-31-75-2024
5. Modelling glacier mass balance and climate sensitivity in the context of sparse observations: application to Saskatchewan Glacier, western Canada C. Kinnard et al. 10.5194/tc-16-3071-2022
6. Evaluation of Snowmelt Estimation Techniques for Enhanced Spring Peak Flow Prediction J. Agnihotri & P. Coulibaly 10.3390/w12051290
7. Snowmelt Dynamics in a Temperate Glacier Using Sentinel-1 SAR Images: A Case Study on Saint-Sorlin Glacier, French Alps C. Turbé et al. 10.1109/JSTARS.2024.3384030
8. Multi-Criteria Evaluation of Snowpack Simulations in Complex Alpine Terrain Using Satellite and In Situ Observations J. Revuelto et al. 10.3390/rs10081171
9. Runoff from glacier ice and seasonal snow in High Asia: separating melt water sources in river flow R. Armstrong et al. 10.1007/s10113-018-1429-0
10. Snow model comparison to simulate snow depth evolution and sublimation at point scale in the semi-arid Andes of Chile A. Voordendag et al. 10.5194/tc-15-4241-2021
11. Quantifying the sources of uncertainty for hydrological predictions with WRF-Hydro over the snow-covered region in the Upper Indus Basin, Pakistan M. Shafqat Mehboob et al. 10.1016/j.jhydrol.2022.128500
12. Evaluating the transferability of empirical models of debris-covered glacier melt A. Winter-Billington et al. 10.1017/jog.2020.57
13. Spatio-temporal variability of surface mass balance in the accumulation zone of the Mer de Glace, French Alps, from multitemporal terrestrial LiDAR measurements M. Réveillet et al. 10.1017/jog.2020.92
14. Insight into glacio-hydrologicalprocesses using explainable machine-learning (XAI) models H. Hao et al. 10.1016/j.jhydrol.2024.131047
15. The S2M meteorological and snow cover reanalysis over the French mountainous areas: description and evaluation (1958–2021) M. Vernay et al. 10.5194/essd-14-1707-2022
16. A meteorological and blowing snow data set (2000–2016) from a high-elevation alpine site (Col du Lac Blanc, France, 2720 m a.s.l.) G. Guyomarc'h et al. 10.5194/essd-11-57-2019
17. Deep learning applied to glacier evolution modelling J. Bolibar et al. 10.5194/tc-14-565-2020
18. Predicting Hydrological Change in an Alpine Glacierized Basin and Its Sensitivity to Landscape Evolution and Meteorological Forcings C. Aubry‐Wake & J. Pomeroy 10.1029/2022WR033363
19. Mass balance and hydrological modeling of the Hardangerjøkulen ice cap in south-central Norway T. Eidhammer et al. 10.5194/hess-25-4275-2021
20. Nonlinear sensitivity of glacier mass balance to future climate change unveiled by deep learning J. Bolibar et al. 10.1038/s41467-022-28033-0
21. Ice‐Dynamical Glacier Evolution Modeling—A Review H. Zekollari et al. 10.1029/2021RG000754
22. Brief communication: Non-linear sensitivity of glacier mass balance to climate attested by temperature-index models C. Vincent & E. Thibert 10.5194/tc-17-1989-2023
23. Modeling past and future variation of glaciers in the Dongkemadi Ice Field on central Tibetan Plateau from 1989 to 2050 P. Shi et al. 10.1080/15230430.2020.1743157