34 citations as recorded by crossref.

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3. Averaging over spatiotemporal heterogeneity substantially biases evapotranspiration rates in a mechanistic large-scale land evaporation model E. Rouholahnejad Freund et al. https://doi.org/10.5194/hess-24-5015-2020
4. Robust estimates of climate-induced hydrological change in a temperate mountainous region N. Köplin et al. https://doi.org/10.1007/s10584-013-1015-x
5. Hydrological aspects of the Mesoscale Alpine Programme: findings from field experiments and simulations R. Ranzi et al. https://doi.org/10.1002/qj.68
6. Continuous simulation for flood estimation in ungauged mesoscale catchments of Switzerland – Part I: Modelling framework and calibration results D. Viviroli et al. https://doi.org/10.1016/j.jhydrol.2009.08.023
7. Swiss glacier mass loss during the 2022 drought: persistent streamflow contributions amid declining melt water volumes M. van Tiel et al. https://doi.org/10.5194/hess-30-23-2026
8. Hybridization of an alpine pumped-storage hydropower plant with floating solar photovoltaics: a study from the water resource perspective D. Micocci et al. https://doi.org/10.1016/j.renene.2025.123530
9. Quantifying uncertainty sources in an ensemble of hydrological climate‐impact projections T. Bosshard et al. https://doi.org/10.1029/2011WR011533
10. Inter-comparison of experimental catchment data and hydrological modelling S. Singh et al. https://doi.org/10.1016/j.jhydrol.2017.04.049
11. Runoff modelling of the glacierized Alpine Upper Salzach basin (Austria): multi‐criteria result validation G. Koboltschnig et al. https://doi.org/10.1002/hyp.7112
12. The benefit of climatological and calibrated reforecast data for simulating hydrological droughts in Switzerland S. Jörg-Hess et al. https://doi.org/10.1002/met.1474
13. Crash tests for forward-looking flood control in the city of Zürich (Switzerland) M. Zappa et al. https://doi.org/10.5194/piahs-370-235-2015
14. Current denudation rates in dolostone karst from central Spain: Implications for the formation of unroofed caves K. Krklec et al. https://doi.org/10.1016/j.geomorph.2016.04.007
15. A national scale floodplain model revealing channel gradient as a key determinant of beaver dam occurrence and inundation potential can anticipate land-use based opportunities and conflicts for river restoration M. Dennis et al. https://doi.org/10.1016/j.gecco.2024.e03304
16. High-Resolution Large-Eddy Simulations of Flow in a Steep Alpine Valley. Part I: Methodology, Verification, and Sensitivity Experiments F. Chow et al. https://doi.org/10.1175/JAM2322.1
17. Regional parameter allocation and predictive uncertainty estimation of a rainfall-runoff model in the poorly gauged Three Gorges Area (PR China) T. Bosshard & M. Zappa https://doi.org/10.1016/j.pce.2008.03.004
18. An introduction to the hydrological modelling system PREVAH and its pre- and post-processing-tools D. Viviroli et al. https://doi.org/10.1016/j.envsoft.2009.04.001
19. Technical Note: Updating procedure for flood forecasting with conceptual HBV-type models T. Wöhling et al. https://doi.org/10.5194/hess-10-783-2006
20. Hydrological Climate-Impact Projections for the Rhine River: GCM–RCM Uncertainty and Separate Temperature and Precipitation Effects* T. Bosshard et al. https://doi.org/10.1175/JHM-D-12-098.1
21. Testing an optimality-based model of rooting zone water storage capacity in temperate forests M. Speich et al. https://doi.org/10.5194/hess-22-4097-2018
22. Assessing the Performance of Thermal Inertia and Hydrus Models to Estimate Surface Soil Water Content A. Negm et al. https://doi.org/10.3390/app7100975
23. Assessment of the Water Balance in an Alpine Climate: Setup of a Micrometeorological Station and Preliminary Results A. Negm et al. https://doi.org/10.1016/j.proenv.2013.06.032
24. Boundary layer characteristics and turbulent exchange mechanisms in highly complex terrain M. Rotach et al. https://doi.org/10.2478/s11600-007-0043-1
25. Process‐based hydrological modelling: The potential of a bottom‐up approach for runoff predictions in ungauged catchments M. Antonetti et al. https://doi.org/10.1002/hyp.11232
26. Sensitivity of forest water balance and physiological drought predictions to soil and vegetation parameters – A model-based study M. Speich et al. https://doi.org/10.1016/j.envsoft.2018.01.016
27. CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland B. Kraft et al. https://doi.org/10.5194/hess-29-1061-2025
28. Current awareness https://doi.org/10.1002/hyp.5826
29. On the boundary‐layer structure over highly complex terrain: Key findings from MAP M. Rotach & D. Zardi https://doi.org/10.1002/qj.71
30. 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
31. Water resources and climate change impact modelling on a daily time scale in the Peruvian Andes N. Andres et al. https://doi.org/10.1080/02626667.2013.862336
32. Objective quantitative spatial verification of distributed snow cover simulations—an experiment for the whole of Switzerland / Vérification quantitative spatiale objective de simulations distribuées de la couche de neige—une étude pour l'ensemble de la Suisse M. ZAPPA https://doi.org/10.1623/hysj.53.1.179
33. Spatial prediction of temporal soil moisture dynamics using HYDRUS-1D M. Chen et al. https://doi.org/10.1002/hyp.9518
34. Does model performance improve with complexity? A case study with three hydrological models R. Orth et al. https://doi.org/10.1016/j.jhydrol.2015.01.044