55 citations as recorded by crossref.

1. Appropriate temporal resolution of precipitation data for discharge modelling in pre-alpine catchments A. Sikorska & J. Seibert https://doi.org/10.1080/02626667.2017.1410279
2. 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
3. Decoding parameter sensitivities across scales: a Wavelet–Sobol framework for hydrological modelling V. Sai Suswara et al. https://doi.org/10.1016/j.jhydrol.2026.135482
4. Assessing the factors governing the ability to predict late-spring flooding in cold-region mountain basins V. Vionnet et al. https://doi.org/10.5194/hess-24-2141-2020
5. Hydrological Impact of the New ECMWF Multi-Layer Snow Scheme E. Zsoter et al. https://doi.org/10.3390/atmos13050727
6. Assessing the degree of detail of temperature-based snow routines for runoff modelling in mountainous areas in central Europe M. Girons Lopez et al. https://doi.org/10.5194/hess-24-4441-2020
7. Attribution of growing season evapotranspiration variability considering snowmelt and vegetation changes in the arid alpine basins T. Ning et al. https://doi.org/10.5194/hess-25-3455-2021
8. 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
9. Multi-Objective Calibration of a Distributed Hydrological Model in a Highly Glacierized Watershed in Central Asia H. Ji et al. https://doi.org/10.3390/w11030554
10. The Status, Applications, and Modifications of the Snowmelt Runoff Model (SRM): A Comprehensive Review N. Bhagwat et al. https://doi.org/10.3390/hydrology12060156
11. A data-assimilated SEAS5 forecasting framework for seasonal hydropower inflows in a snow-dominated basin G. Uysal et al. https://doi.org/10.1016/j.jhydrol.2026.135279
12. Estimating surface runoff and groundwater recharge in an urban catchment using a water balance approach R. Weatherl et al. https://doi.org/10.1007/s10040-021-02385-1
13. Seasonal streamflow forecasts for Europe – Part 2: Sources of skill W. Greuell et al. https://doi.org/10.5194/hess-23-371-2019
14. Fusing daily snow water equivalent from 1980 to 2020 in China using a spatiotemporal XGBoost model L. Sun et al. https://doi.org/10.1016/j.jhydrol.2024.130876
15. Climate change effects on groundwater recharge and temperatures in Swiss alluvial aquifers J. Epting et al. https://doi.org/10.1016/j.hydroa.2020.100071
16. Quantifying the observational requirements of a space-borne LiDAR snow mission Y. Kwon et al. https://doi.org/10.1016/j.jhydrol.2021.126709
17. Improving the Informational Value of MODIS Fractional Snow Cover Area Using Fuzzy Logic Based Ensemble Smoother Data Assimilation Frameworks A. Teweldebrhan et al. https://doi.org/10.3390/rs11010028
18. GEE can prominently reduce uncertainties from input data and parameters of the remote sensing-driven distributed hydrological model Z. Pan et al. https://doi.org/10.1016/j.scitotenv.2023.161852
19. Simulating the influence of snow surface processes on soil moisture dynamics and streamflow generation in an alpine catchment N. Wever et al. https://doi.org/10.5194/hess-21-4053-2017
20. Effects of climate anomalies on warm-season low flows in Switzerland M. Floriancic et al. https://doi.org/10.5194/hess-24-5423-2020
21. Hyper-resolution ensemble-based snow reanalysis in mountain regions using clustering J. Fiddes et al. https://doi.org/10.5194/hess-23-4717-2019
22. Downsizing parameter ensembles for simulations of rare floods A. Sikorska-Senoner et al. https://doi.org/10.5194/nhess-20-3521-2020
23. 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
24. UAS remote sensing applications to abrupt cold region hazards M. Verfaillie et al. https://doi.org/10.3389/frsen.2023.1095275
25. A particle filter scheme for multivariate data assimilation into a point-scale snowpack model in an Alpine environment G. Piazzi et al. https://doi.org/10.5194/tc-12-2287-2018
26. Snowmelt erosion: A review Z. Wu & H. Fang https://doi.org/10.1016/j.earscirev.2024.104704
27. A seasonal algorithm of the snow-covered area fraction for mountainous terrain N. Helbig et al. https://doi.org/10.5194/tc-15-4607-2021
28. Comparison of Deterministic and Probabilistic Variational Data Assimilation Methods Using Snow and Streamflow Data Coupled in HBV Model for Upper Euphrates Basin G. Uysal et al. https://doi.org/10.3390/geosciences13030089
29. Scale dependency in modeling nivo-glacial hydrological systems: the case of the Arolla basin, Switzerland A. Argentin et al. https://doi.org/10.5194/hess-29-1725-2025
30. Toward Snow Cover Estimation in Mountainous Areas Using Modern Data Assimilation Methods: A Review C. Largeron et al. https://doi.org/10.3389/feart.2020.00325
31. Assimilation of Ground and Satellite Snow Observations in a Distributed Hydrologic Model for Water Supply Forecasting P. Micheletty et al. https://doi.org/10.1111/1752-1688.12975
32. Integrating machine learning with process-based glacio-hydrological model for improving the performance of runoff simulation in cold regions B. Mohammadi et al. https://doi.org/10.1016/j.jhydrol.2025.132963
33. 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
34. Improving the estimation of snow depth in the Noah-MP model by combining particle filter and Bayesian model averaging Y. You et al. https://doi.org/10.1016/j.jhydrol.2022.128877
35. Can streamflow observations constrain snow mass reconstructions? Lessons from two synthetic numerical experiments P. Wiersma et al. https://doi.org/10.5194/hess-30-3331-2026
36. What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? I. Pechlivanidis et al. https://doi.org/10.1029/2019WR026987
37. Review of Snow Data Assimilation Methods for Hydrological, Land Surface, Meteorological and Climate Models: Results from a COST HarmoSnow Survey J. Helmert et al. https://doi.org/10.3390/geosciences8120489
38. Enhancing daily runoff prediction: A hybrid model combining GR6J-CemaNeige with wavelet-based gradient boosting technique B. Mohammadi et al. https://doi.org/10.1016/j.jhydrol.2025.133114
39. Impacts of elevational variability of climate and frozen ground on streamflow in a glacierized catchment in Tibetan Plateau M. Gao et al. https://doi.org/10.1016/j.jhydrol.2023.129312
40. The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review D. Jiang & K. Wang https://doi.org/10.3390/w11081615
41. Stream temperature and discharge evolution in Switzerland over the last 50 years: annual and seasonal behaviour A. Michel et al. https://doi.org/10.5194/hess-24-115-2020
42. A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations A. Sikorska-Senoner & J. Quilty https://doi.org/10.1016/j.envsoft.2021.105094
43. Evaluation of snow data assimilation using the ensemble Kalman filter for seasonal streamflow prediction in the western United States C. Huang et al. https://doi.org/10.5194/hess-21-635-2017
44. Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions J. Musuuza et al. https://doi.org/10.3390/rs12050811
45. Fractional snow-covered area: scale-independent peak of winter parameterization N. Helbig et al. https://doi.org/10.5194/tc-15-615-2021
46. Impact of Extreme Land Surface Heterogeneity on Micrometeorology over Spring Snow Cover R. Mott et al. https://doi.org/10.1175/JHM-D-17-0074.1
47. 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
48. A genetic particle filter scheme for univariate snow cover assimilation into Noah-MP model across snow climates Y. You et al. https://doi.org/10.5194/hess-27-2919-2023
49. A high-resolution snow dataset for Switzerland (2016–2025) combining physics-based simulations and in situ observations M. Oberrauch et al. https://doi.org/10.5194/tc-20-3387-2026
50. Impact of climate change on spatiotemporal patterns of snow hydrology: Conceptual frameworks, machine learning versus nested model M. Besharatifar & M. Nasseri https://doi.org/10.1016/j.pce.2024.103691
51. Relative Influence of Timing and Accumulation of Snow on Alpine Land Surface Phenology J. Xie et al. https://doi.org/10.1002/2017JG004099
52. Land surface phenology and greenness in Alpine grasslands driven by seasonal snow and meteorological factors J. Xie et al. https://doi.org/10.1016/j.scitotenv.2020.138380
53. Snowmelt runoff model (SRM) for regulated watersheds with regulation-correction N. Bhagwat et al. https://doi.org/10.1007/s13201-025-02579-y
54. Estimating hydrologic vulnerabilities to climate change using simulated historical data: A proof-of-concept for a rapid assessment algorithm in the Colorado River Basin K. Solander et al. https://doi.org/10.1016/j.ejrh.2019.100642
55. Operational snow-hydrological modeling for Switzerland R. Mott et al. https://doi.org/10.3389/feart.2023.1228158