64 citations as recorded by crossref.

1. Daily Continuous River Discharge Estimation for Ungauged Basins Using a Hydrologic Model Calibrated by Satellite Altimetry: Implications for the SWOT Mission Q. Huang et al. https://doi.org/10.1029/2020WR027309
2. What Can We Learn from Comparing Glacio-Hydrological Models? E. Stoll et al. https://doi.org/10.3390/atmos11090981
3. Efficient multi-objective calibration and uncertainty analysis of distributed snow simulations in rugged alpine terrain J. Thornton et al. https://doi.org/10.1016/j.jhydrol.2021.126241
4. Sensing Area‐Average Snow Water Equivalent with Cosmic‐Ray Neutrons: The Influence of Fractional Snow Cover P. Schattan et al. https://doi.org/10.1029/2019WR025647
5. Relevance and Scale Dependence of Hydrological Changes in Glacierized Catchments: Insights from Historical Data Series in the Eastern Italian Alps L. Carturan et al. https://doi.org/10.3390/w11010089
6. Including Parameter Uncertainty in an Intercomparison of Physically-Based Snow Models D. Günther et al. https://doi.org/10.3389/feart.2020.542599
7. The importance of snowmelt spatiotemporal variability for isotope-based hydrograph separation in a high-elevation catchment J. Schmieder et al. https://doi.org/10.5194/hess-20-5015-2016
8. Behandlung künstlicher Speicher und Überleitungen in der alpinen Niederschlags-Abfluss-Vorhersage J. Wesemann et al. https://doi.org/10.1007/s00506-018-0501-9
9. Comparing calibration strategies of a conceptual snow hydrology model and their impact on model performance and parameter identifiability S. Nemri & C. Kinnard https://doi.org/10.1016/j.jhydrol.2019.124474
10. Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation I. Podsiadlo et al. https://doi.org/10.1109/JSTARS.2020.3028653
11. Operational and experimental snow observation systems in the upper Rofental: data from 2017 to 2023 M. Warscher et al. https://doi.org/10.5194/essd-16-3579-2024
12. 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
13. Hydrological modelling in the anthroposphere: predicting local runoff in a heavily modified high-alpine catchment J. Wesemann et al. https://doi.org/10.1007/s11629-017-4587-5
14. Glacier Snowline Determination from Terrestrial Laser Scanning Intensity Data H. Prantl et al. https://doi.org/10.3390/geosciences7030060
15. The case for increased validation of rainfall simulation as a tool for researching runoff, soil erosion, and related processes D. Dunkerley https://doi.org/10.1016/j.catena.2021.105283
16. Snow Cover Estimation Underneath the Clouds Based on Multitemporal Correlation Analysis in Historical Time-Series Imagery M. Niroumand-Jadidi et al. https://doi.org/10.1109/TGRS.2020.2969026
17. Quantification of different flow components in a high-altitude glacierized catchment (Dudh Koshi, Himalaya): some cryospheric-related issues L. Mimeau et al. https://doi.org/10.5194/hess-23-3969-2019
18. Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review M. Ali et al. https://doi.org/10.3390/rs15061642
19. An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0 J. Aschauer et al. https://doi.org/10.5194/gmd-16-4063-2023
20. Snow depth in high-resolution regional climate model simulations over southern Germany – suitable for extremes and impact-related research? B. Poschlod & A. Daloz https://doi.org/10.5194/tc-18-1959-2024
21. 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
22. 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
23. Simulation of Past Changes in the Austrian Snow Cover 1948–2009 T. Marke et al. https://doi.org/10.1175/JHM-D-17-0245.1
24. Combining Hydrological Models and Remote Sensing to Characterize Snowpack Dynamics in High Mountains J. Ougahi & J. Rowan https://doi.org/10.3390/rs16020264
25. Assessment of snow model uncertainty in relation to the effect of a 1 °C warming using the snow modelling framework openAMUNDSEN E. Rottler et al. https://doi.org/10.5194/tc-20-2351-2026
26. Multi-Criteria Evaluation of Snowpack Simulations in Complex Alpine Terrain Using Satellite and In Situ Observations J. Revuelto et al. https://doi.org/10.3390/rs10081171
27. 30-years (1991-2021) Snow Water Equivalent Dataset in the Po River District, Italy M. Dall’Amico et al. https://doi.org/10.1038/s41597-025-04633-5
28. Hydrological process controls on streamflow variability in a glacierized headwater basin C. Aubry‐Wake et al. https://doi.org/10.1002/hyp.14731
29. Scaling Precipitation Input to Spatially Distributed Hydrological Models by Measured Snow Distribution C. Vögeli et al. https://doi.org/10.3389/feart.2016.00108
30. From global glacier modeling to catchment hydrology: bridging the gap with the WaSiM-OGGM coupling scheme M. Pesci et al. https://doi.org/10.3389/frwa.2023.1296344
31. Enhancing hydrological prediction in snow-dominant basins through multivariate calibration-assimilation framework F. Aderyani et al. https://doi.org/10.1016/j.advwatres.2025.105192
32. Improving SWE Estimation by Fusion of Snow Models with Topographic and Remotely Sensed Data L. De Gregorio et al. https://doi.org/10.3390/rs11172033
33. On optimization of calibrations of a distributed hydrological model with spatially distributed information on snow D. Tiwari et al. https://doi.org/10.5194/hess-28-1127-2024
34. 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
35. Simulation of snow management in Alpine ski resorts using three different snow models F. Hanzer et al. https://doi.org/10.1016/j.coldregions.2020.102995
36. The role of the cryosphere for runoff in a highly glacierised alpine catchment, an approach with a coupled model and in situ data A. Lambrecht & C. Mayer https://doi.org/10.1017/jog.2024.48
37. Evaluating a prediction system for snow management P. Ebner et al. https://doi.org/10.5194/tc-15-3949-2021
38. Seasonal variations in the optical characteristics of dissolved organic matter in glacial pond water D. Vione et al. https://doi.org/10.1016/j.scitotenv.2020.143464
39. Evaluating the added value of multi-variable calibration of SWAT with remotely sensed evapotranspiration data for improving hydrological modeling S. Shah et al. https://doi.org/10.1016/j.jhydrol.2021.127046
40. Snow redistribution for the hydrological modeling of alpine catchments D. Freudiger et al. https://doi.org/10.1002/wat2.1232
41. Projected cryospheric and hydrological impacts of 21st century climate change in the Ötztal Alps (Austria) simulated using a physically based approach F. Hanzer et al. https://doi.org/10.5194/hess-22-1593-2018
42. 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
43. An enhanced python framework for hydrological modeling in alpine catchments: Snow hysteresis and glacier ice melt M. Masten et al. https://doi.org/10.1016/j.envsoft.2025.106842
44. Agent-based modelling of water balance in a social-ecological system: A multidisciplinary approach for mountain catchments L. Huber et al. https://doi.org/10.1016/j.scitotenv.2020.142962
45. Retrospective forecasts of the upcoming winter season snow accumulation in the Inn headwaters (European Alps) K. Förster et al. https://doi.org/10.5194/hess-22-1157-2018
46. ‘Teflon Basin’ or Not? A High-Elevation Catchment Transit Time Modeling Approach J. Schmieder et al. https://doi.org/10.3390/hydrology6040092
47. 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
48. Evaluation and uncertainty assessment of weather data and model calibration on daily streamflow simulation in a large-scale regulated and snow-dominated river basin Y. Chen et al. https://doi.org/10.1016/j.jhydrol.2023.129103
49. Projecting sediment export from two highly glacierized alpine catchments under climate change: exploring non-parametric regression as an analysis tool L. Schmidt et al. https://doi.org/10.5194/hess-28-139-2024
50. Multi-scale snowdrift-permitting modelling of mountain snowpack V. Vionnet et al. https://doi.org/10.5194/tc-15-743-2021
51. A Novel Data Fusion Technique for Snow Cover Retrieval L. De Gregorio et al. https://doi.org/10.1109/JSTARS.2019.2920676
52. Spatio‐temporal assessment of the hydrological drivers of an active deep‐seated gravitational slope deformation: The Vögelsberg landslide in Tyrol (Austria) J. Pfeiffer et al. https://doi.org/10.1002/esp.5129
53. Morphological indexes to describe snow-cover patterns in a high-alpine area L. Ferrarin et al. https://doi.org/10.1017/aog.2023.62
54. A persistent local thermal anomaly in the Ahorn gneiss recharged by glacier melt water (Austria) C. Heldmann et al. https://doi.org/10.1007/s10040-019-02034-8
55. Decoding the Fate of Himalayan Glaciers under Climate Change: Impacts, Challenges, Research Gaps, and Policy Pathways R. Ahmed https://doi.org/10.1016/j.eve.2025.100082
56. 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
57. Glacio-hydrological melt and run-off modelling: application of a limits of acceptability framework for model comparison and selection J. Mackay et al. https://doi.org/10.5194/tc-12-2175-2018
58. Parameter uncertainty analysis for an operational hydrological model using residual-based and limits of acceptability approaches A. Teweldebrhan et al. https://doi.org/10.5194/hess-22-5021-2018
59. Spatio‐temporal wet snow dynamics from model simulations and remote sensing: A case study from the Rofental, Austria E. Rottler et al. https://doi.org/10.1002/hyp.15279
60. On the Use of COSMO-SkyMed X-Band SAR for Estimating Snow Water Equivalent in Alpine Areas: A Retrieval Approach Based on Machine Learning and Snow Models E. Santi et al. https://doi.org/10.1109/TGRS.2022.3191409
61. Does meter-scale snow data matter for modeling alpine plant distribution? A comparison of four data sources at two resolutions A. Kollert et al. https://doi.org/10.1016/j.ecolmodel.2025.111366
62. Evaluation of a Land Surface–Glacier Coupled Model over the Three-River Headwaters Region in the Qinghai–Tibet Plateau S. Li & X. Yuan https://doi.org/10.3390/w18091030
63. The Rofental: a high Alpine research basin (1890–3770 m a.s.l.) in the Ötztal Alps (Austria) with over 150 years of hydrometeorological and glaciological observations U. Strasser et al. https://doi.org/10.5194/essd-10-151-2018
64. Glacio‐hydrological model calibration and evaluation M. van Tiel et al. https://doi.org/10.1002/wat2.1483