Articles | Volume 18, issue 11
https://doi.org/10.5194/hess-18-4703-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-4703-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Nov 2014
Research article |
| 28 Nov 2014
Effect of meteorological forcing and snow model complexity on hydrological simulations in the Sieber catchment (Harz Mountains, Germany)
K. Förster
Department of Hydrology, Water Management and Water Protection, Leichtweiss Institute for Hydraulic Engineering and Water Resources, University of Braunschweig, Beethovenstr. 51a, 38106 Braunschweig, Germany
Institute of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria
alpS, Grabenweg 68, 6020 Innsbruck, Austria
G. Meon
Department of Hydrology, Water Management and Water Protection, Leichtweiss Institute for Hydraulic Engineering and Water Resources, University of Braunschweig, Beethovenstr. 51a, 38106 Braunschweig, Germany
T. Marke
Institute of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria
U. Strasser
Institute of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria
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- Estimating uncertainties in the newly developed multi‐source land snow data assimilation system Y. Zhang & Z. Yang 10.1002/2015JD024248
- Recent snow cover changes over central European low mountain ranges C. Dong & L. Menzel 10.1002/hyp.13586
- Numerical Weather Forecasts at Kilometer Scale in the French Alps: Evaluation and Application for Snowpack Modeling V. Vionnet et al. 10.1175/JHM-D-15-0241.1
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- What Can We Learn from Comparing Glacio-Hydrological Models? E. Stoll et al. 10.3390/atmos11090981
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- Modelling forest snow processes with a new version of WaSiM K. Förster et al. 10.1080/02626667.2018.1518626
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33 citations as recorded by crossref.
- Daily temperature records from a mesonet in the foothills of the Canadian Rocky Mountains, 2005–2010 W. Wood et al. 10.5194/essd-10-595-2018
- Coupled modelling approach to assess effects of climate change on a coastal groundwater system Q. Lam et al. 10.1016/j.gsd.2021.100633
- Variations in sub-daily precipitation at centennial scale K. Förster & L. Thiele 10.1038/s41612-020-0117-1
- Technical note: “Bit by bit”: a practical and general approach for evaluating model computational complexity vs. model performance E. Azmi et al. 10.5194/hess-25-1103-2021
- The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models M. Demirel et al. 10.5194/hess-19-275-2015
- Parameter identification in hydrological models using groundwater-level measurements and satellite-based soil moisture P. Kreye et al. 10.1080/02626667.2019.1599120
- Retrospective forecasts of the upcoming winter season snow accumulation in the Inn headwaters (European Alps) K. Förster et al. 10.5194/hess-22-1157-2018
- Targeting high robustness in snowpack modeling for Nordic hydrological applications in limited data conditions A. Mas et al. 10.1016/j.jhydrol.2018.07.071
- An open-source MEteoroLOgical observation time series DISaggregation Tool (MELODIST v0.1.1) K. Förster et al. 10.5194/gmd-9-2315-2016
- Multi-Criteria Evaluation of Snowpack Simulations in Complex Alpine Terrain Using Satellite and In Situ Observations J. Revuelto et al. 10.3390/rs10081171
- Estimating uncertainties in the newly developed multi‐source land snow data assimilation system Y. Zhang & Z. Yang 10.1002/2015JD024248
- Recent snow cover changes over central European low mountain ranges C. Dong & L. Menzel 10.1002/hyp.13586
- Numerical Weather Forecasts at Kilometer Scale in the French Alps: Evaluation and Application for Snowpack Modeling V. Vionnet et al. 10.1175/JHM-D-15-0241.1
- Global Sensitivity Analysis for Multiple Interpretive Models With Uncertain Parameters A. Dell'Oca et al. 10.1029/2019WR025754
- Modelling and assessment of the combined impacts of climatic and demographic change on a multipurpose reservoir system in the Harz mountains M. Gocht & G. Meon 10.1007/s12665-016-6099-y
- Observations and simulations of the seasonal evolution of snowpack cold content and its relation to snowmelt and the snowpack energy budget K. Jennings et al. 10.5194/tc-12-1595-2018
- Impact of Atmospheric Rivers on Surface Hydrological Processes in Western U.S. Watersheds X. Chen et al. 10.1029/2019JD030468
- Reducing hydrological modelling uncertainty by using MODIS snow cover data and a topography-based distribution function snowmelt model N. Di Marco et al. 10.1016/j.jhydrol.2021.126020
- Moment-based metrics for global sensitivity analysis of hydrological systems A. Dell'Oca et al. 10.5194/hess-21-6219-2017
- Projected climate change impacts on skiing and snowmobiling: A case study of the United States C. Wobus et al. 10.1016/j.gloenvcha.2017.04.006
- Analysis and Predictability of the Hydrological Response of Mountain Catchments to Heavy Rain on Snow Events: A Case Study in the Spanish Pyrenees J. Corripio & J. López-Moreno 10.3390/hydrology4020020
- Evaluating snow models with varying process representations for hydrological applications J. Magnusson et al. 10.1002/2014WR016498
- What Can We Learn from Comparing Glacio-Hydrological Models? E. Stoll et al. 10.3390/atmos11090981
- Energy and mass balance dynamics of the seasonal snowpack at two high-altitude sites in the Himalaya E. Stigter et al. 10.1016/j.coldregions.2021.103233
- Evaluation of Snowmelt Estimation Techniques for Enhanced Spring Peak Flow Prediction J. Agnihotri & P. Coulibaly 10.3390/w12051290
- A simple numerical method for snowmelt simulation based on the equation of heat energy M. Stojković & N. Jaćimović 10.2166/wst.2015.628
- Representative parameter estimation for hydrological models using a lexicographic calibration strategy M. Gelleszun et al. 10.1016/j.jhydrol.2017.08.015
- Modelling forest snow processes with a new version of WaSiM K. Förster et al. 10.1080/02626667.2018.1518626
- How Does Availability of Meteorological Forcing Data Impact Physically Based Snowpack Simulations?* M. Raleigh et al. 10.1175/JHM-D-14-0235.1
- A framework of integrated hydrological and hydrodynamic models using synthetic rainfall for flash flood hazard mapping of ungauged catchments in tropical zones W. Lohpaisankrit et al. 10.5194/piahs-373-183-2016
- High-Resolution Discharge Forecasting for Snowmelt and Rainfall Mixed Events T. Berezowski & A. Chybicki 10.3390/w10010056
- Event generation for probabilistic flood risk modelling: multi-site peak flow dependence model vs. weather-generator-based approach B. Winter et al. 10.5194/nhess-20-1689-2020
- Combining snowpack modeling and terrestrial laser scanner observations improves the simulation of small scale snow dynamics J. Revuelto et al. 10.1016/j.jhydrol.2015.12.015
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Latest update: 14 Nov 2024
Short summary
Four snow models of different complexity (temperature-index vs. energy balance models) are compared using observed and dynamically downscaled atmospheric analysis data as input. Biases in simulated precipitation lead to lower model performance. However, simulated meteorological conditions are proven to be a valuable meteorological data source as they provide model input in regions with limited availability of observations and allow the application of energy balance approaches.
Four snow models of different complexity (temperature-index vs. energy balance models) are...
