45 citations as recorded by crossref.

1. Historical glacier outlines from digitized topographic maps of the Swiss Alps D. Freudiger et al. https://doi.org/10.5194/essd-10-805-2018
2. Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al. https://doi.org/10.1002/wat2.1574
3. A novel attention-based LSTM cell post-processor coupled with bayesian optimization for streamflow prediction B. Alizadeh et al. https://doi.org/10.1016/j.jhydrol.2021.126526
4. Snow Multidata Mapping and Modeling (S3M) 5.1: a distributed cryospheric model with dry and wet snow, data assimilation, glacier mass balance, and debris-driven melt F. Avanzi et al. https://doi.org/10.5194/gmd-15-4853-2022
5. Skill Transfer from Meteorological to Runoff Forecasts in Glacierized Catchments S. Gindraux & D. Farinotti https://doi.org/10.3390/hydrology5020026
6. The compensating effect of glaciers: Characterizing the relation between interannual streamflow variability and glacier cover M. van Tiel et al. https://doi.org/10.1002/hyp.13603
7. Future evolution and uncertainty of river flow regime change in a deglaciating river basin J. Mackay et al. https://doi.org/10.5194/hess-23-1833-2019
8. The value of water isotope data on improving process understanding in a glacierized catchment on the Tibetan Plateau Y. Nan et al. https://doi.org/10.5194/hess-25-3653-2021
9. Representing glacier evolution for modelling hydrological responses to climate change in mountainous catchments D. Ruelland et al. https://doi.org/10.1016/j.jhydrol.2026.135769
10. Glacio‐hydrological model calibration and evaluation M. van Tiel et al. https://doi.org/10.1002/wat2.1483
11. Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions J. Janzing et al. https://doi.org/10.5194/hess-29-7041-2025
12. The evaluation of climate change impact on hydrologic processes of a mountain river basin T. Adhikari et al. https://doi.org/10.1007/s00704-022-04204-3
13. Runoff components and the contributions of precipitation and temperature in a highly glacierized river basin in Central Asia A. Wang et al. https://doi.org/10.1007/s11707-022-0995-0
14. Response of Two Glaciers in Different Climate Settings of the Tibetan Plateau to Climate Change Through Year 2100 Using a Hybrid Modeling Approach P. Han et al. https://doi.org/10.1029/2022WR033618
15. Melting Alpine Water Towers Aggravate Downstream Low Flows: A Stress‐Test Storyline Approach M. van Tiel et al. https://doi.org/10.1029/2022EF003408
16. Application of a hybrid algorithm of LSTM and Transformer based on random search optimization for improving rainfall-runoff simulation W. Li et al. https://doi.org/10.1038/s41598-024-62127-7
17. A local model of snow–firn dynamics and application to the Colle Gnifetti site F. Banfi & C. De Michele https://doi.org/10.5194/tc-16-1031-2022
18. Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications W. van Verseveld et al. https://doi.org/10.5194/gmd-17-3199-2024
19. The role of snowmelt, glacier melt and rainfall in streamflow dynamics on James Ross Island, Antarctic Peninsula O. Nedělčev et al. https://doi.org/10.5194/tc-19-2457-2025
20. Hydrological and geochemical controls on CO2 and CH4 emissions from a temperate glacier-fed river on the Tibetan Plateau Z. Du et al. https://doi.org/10.1016/j.jhydrol.2025.133997
21. Modeling and assessing the impacts of climate change on groundwater recharge in endorheic basins of Northwest China W. Cheng et al. https://doi.org/10.1016/j.scitotenv.2024.170829
22. How and when glacial runoff is important: Tracing dynamics of meltwater and rainfall contribution to river runoff from headwaters to lowland in the Caucasus Mountains E. Rets et al. https://doi.org/10.1016/j.scitotenv.2024.172201
23. Assessing the influence of calibration methodology and model structure on glacio-hydrological simulations in the Cheakamus River Basin, British Columbia, Canada K. Tsuruta & M. Schnorbus https://doi.org/10.1016/j.hydroa.2022.100144
24. Modeling Lake Titicaca's water balance: the dominant roles of precipitation and evaporation N. Lima-Quispe et al. https://doi.org/10.5194/hess-29-655-2025
25. An interpretable hybrid deep learning model for flood forecasting based on Transformer and LSTM W. Li et al. https://doi.org/10.1016/j.ejrh.2024.101873
26. The Impact of Glacial Shrinkage on Future Streamflow in the Urumqi River Source Region of Eastern Tien Shan, Central Asia W. Zhao et al. https://doi.org/10.3390/rs16142546
27. Evaluation of three gridded potential evapotranspiration datasets for streamflow simulation in three inland river basins in the arid Hexi Corridor, Northwest China C. Wang et al. https://doi.org/10.1016/j.ejrh.2022.101234
28. Projected climate regime over Pakistan and its implications for hydrology in the Hunza River Basin using CMIP6 GCMs M. Hassan et al. https://doi.org/10.1007/s00382-025-07768-8
29. Effective improvement of multi-step-ahead flood forecasting accuracy through encoder-decoder with an exogenous input structure Z. Cui et al. https://doi.org/10.1016/j.jhydrol.2022.127764
30. Which glaciers are the largest in the world? A. Windnagel et al. https://doi.org/10.1017/jog.2022.61
31. Hydrological model calibration with uncertain discharge data I. Westerberg et al. https://doi.org/10.1080/02626667.2020.1735638
32. The importance of short lag-time in the runoff forecasting model based on long short-term memory X. Chen et al. https://doi.org/10.1016/j.jhydrol.2020.125359
33. Benchmark-guided insights into hybrid process-based-deep learning models for continental-scale streamflow prediction across the United States D. Sourya et al. https://doi.org/10.1016/j.ejrh.2026.103636
34. Comprehensive space–time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin D. Viviroli et al. https://doi.org/10.5194/nhess-22-2891-2022
35. Disappearing World Heritage Glaciers as a Keystone of Nature Conservation in a Changing Climate J. Bosson et al. https://doi.org/10.1029/2018EF001139
36. A New Rainfall-Runoff Model Using Improved LSTM with Attentive Long and Short Lag-Time X. Chen et al. https://doi.org/10.3390/w14050697
37. Comparison of deep learning models and a typical process-based model in glacio-hydrology simulation X. Chen et al. https://doi.org/10.1016/j.jhydrol.2022.128562
38. Spatial distribution and controls of snowmelt runoff in a sublimation-dominated environment in the semiarid Andes of Chile Á. Ayala et al. https://doi.org/10.5194/hess-27-3463-2023
39. Amplification of hydrological model uncertainties in projected climate simulations of the Upper Indus Basin: Does it matter where the water is coming from? M. Dolk et al. https://doi.org/10.1002/hyp.13718
40. Assessing glacier retreat and its impact on water resources in a headwater of Yangtze River based on CMIP6 projections H. Gao et al. https://doi.org/10.1016/j.scitotenv.2020.142774
41. A global perspective on the development and application of glacio-hydrological model C. Yang et al. https://doi.org/10.1016/j.jhydrol.2025.132797
42. Merits and limits of SWAT-GL: application in contrasting glaciated catchments T. Schaffhauser et al. https://doi.org/10.5194/hess-29-3227-2025
43. Effects of univariate and multivariate bias correction on hydrological impact projections in alpine catchments J. Meyer et al. https://doi.org/10.5194/hess-23-1339-2019
44. Adequacy of satellite derived data for streamflow simulation in three Hexi inland river basins, Northwest China C. Wang et al. https://doi.org/10.1016/j.atmosres.2022.106203
45. Impact of different weather generator scenarios on extreme flood estimates in Switzerland E. Kritidou et al. https://doi.org/10.1007/s00477-024-02843-8