Articles | Volume 24, issue 9
https://doi.org/10.5194/hess-24-4441-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-4441-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Sep 2020
Research article |
| 15 Sep 2020
| 15 Sep 2020
Assessing the degree of detail of temperature-based snow routines for runoff modelling in mountainous areas in central Europe
Department of Geography, University of Zurich, Zurich, 8006,
Switzerland
Swedish Meteorological and Hydrological Institute, Norrköping,
60176, Sweden
Marc J. P. Vis
Department of Geography, University of Zurich, Zurich, 8006,
Switzerland
Michal Jenicek
Department of Physical Geography and Geoecology, Charles University, Prague, 12843, Czechia
Nena Griessinger
WSL Institute for Snow and Avalanche Research SLF, Davos, 7260,
Switzerland
Jan Seibert
Department of Geography, University of Zurich, Zurich, 8006,
Switzerland
Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, 75007, Sweden
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Cited
27 citations as recorded by crossref.
- Impact of snow distribution modelling for runoff predictions I. Clemenzi et al. 10.2166/nh.2023.043
- Future changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in Austria S. Hanus et al. 10.5194/hess-25-3429-2021
- Future changes in snowpack will impact seasonal runoff and low flows in Czechia M. Jenicek et al. 10.1016/j.ejrh.2021.100899
- Changes in rain-on-snow events in mountain catchments in the rain–snow transition zone O. Hotovy et al. 10.1080/02626667.2023.2177544
- Developing a lumped rainfall-runoff model in daily timestep for the Central European regions: A case study of the Czech Republic M. Bednář & D. Marton 10.1016/j.envsoft.2024.106092
- 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. 10.3390/geosciences13030089
- Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al. 10.1002/wat2.1574
- What affects the hydrological response of rain-on-snow events in low-altitude mountain ranges in Central Europe? R. Juras et al. 10.1016/j.jhydrol.2021.127002
- 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. 10.5194/gmd-15-4853-2022
- Stable water isotopes and tritium tracers tell the same tale: no evidence for underestimation of catchment transit times inferred by stable isotopes in StorAge Selection (SAS)-function models S. Wang et al. 10.5194/hess-27-3083-2023
- Improving Rainfall‐Runoff Model Reliability Under Nonstationarity of Model Parameters: A Hypothesis Testing Based Framework A. Vora & R. Singh 10.1029/2022WR032273
- Analysis of nationwide groundwater monitoring networks using lumped-parameter models R. Collenteur et al. 10.1016/j.jhydrol.2023.130120
- Extension of a Monolayer Energy-Budget Degree-Day Model to a Multilayer One J. Augas et al. 10.3390/w16081089
- Trends and variability in snowmelt in China under climate change Y. Yang et al. 10.5194/hess-26-305-2022
- Melting Alpine Water Towers Aggravate Downstream Low Flows: A Stress‐Test Storyline Approach M. van Tiel et al. 10.1029/2022EF003408
- Operational snow-hydrological modeling for Switzerland R. Mott et al. 10.3389/feart.2023.1228158
- Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling D. Araya et al. 10.5194/hess-27-4385-2023
- Development and parameter estimation of snowmelt models using spatial snow-cover observations from MODIS D. Gyawali & A. Bárdossy 10.5194/hess-26-3055-2022
- Snow depth in high-resolution regional climate model simulations over southern Germany – suitable for extremes and impact-related research? B. Poschlod & A. Daloz 10.5194/tc-18-1959-2024
- Unraveling the time-dependent relevance of input model uncertainties for a lumped hydrologic model of a pre-alpine karst system D. Bittner et al. 10.1007/s10040-021-02377-1
- Suitability of ERA5-Land reanalysis dataset for hydrological modelling in the Alpine region D. Dalla Torre et al. 10.1016/j.ejrh.2024.101718
- A conceptual model for simulating streamflow in a changing snow-covered catchment: application to the data-sparse upper Brahmaputra River basin A. Nury et al. 10.1080/02626667.2022.2083512
- Assessment of H SAF satellite snow products in hydrological applications over the Upper Euphrates Basin A. Şensoy et al. 10.1007/s00704-022-04292-1
- Combining Hydrological Models and Remote Sensing to Characterize Snowpack Dynamics in High Mountains J. Ougahi & J. Rowan 10.3390/rs16020264
- Mimicry of a Conceptual Hydrological Model (HBV): What's in a Name? K. Jansen et al. 10.1029/2020WR029143
- Importance of snowmelt contribution to seasonal runoff and summer low flows in Czechia M. Jenicek & O. Ledvinka 10.5194/hess-24-3475-2020
- The evaluation of the potential of global data products for snow hydrological modelling in ungauged high-alpine catchments M. Weber et al. 10.5194/hess-25-2869-2021
24 citations as recorded by crossref.
- Impact of snow distribution modelling for runoff predictions I. Clemenzi et al. 10.2166/nh.2023.043
- Future changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in Austria S. Hanus et al. 10.5194/hess-25-3429-2021
- Future changes in snowpack will impact seasonal runoff and low flows in Czechia M. Jenicek et al. 10.1016/j.ejrh.2021.100899
- Changes in rain-on-snow events in mountain catchments in the rain–snow transition zone O. Hotovy et al. 10.1080/02626667.2023.2177544
- Developing a lumped rainfall-runoff model in daily timestep for the Central European regions: A case study of the Czech Republic M. Bednář & D. Marton 10.1016/j.envsoft.2024.106092
- 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. 10.3390/geosciences13030089
- Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al. 10.1002/wat2.1574
- What affects the hydrological response of rain-on-snow events in low-altitude mountain ranges in Central Europe? R. Juras et al. 10.1016/j.jhydrol.2021.127002
- 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. 10.5194/gmd-15-4853-2022
- Stable water isotopes and tritium tracers tell the same tale: no evidence for underestimation of catchment transit times inferred by stable isotopes in StorAge Selection (SAS)-function models S. Wang et al. 10.5194/hess-27-3083-2023
- Improving Rainfall‐Runoff Model Reliability Under Nonstationarity of Model Parameters: A Hypothesis Testing Based Framework A. Vora & R. Singh 10.1029/2022WR032273
- Analysis of nationwide groundwater monitoring networks using lumped-parameter models R. Collenteur et al. 10.1016/j.jhydrol.2023.130120
- Extension of a Monolayer Energy-Budget Degree-Day Model to a Multilayer One J. Augas et al. 10.3390/w16081089
- Trends and variability in snowmelt in China under climate change Y. Yang et al. 10.5194/hess-26-305-2022
- Melting Alpine Water Towers Aggravate Downstream Low Flows: A Stress‐Test Storyline Approach M. van Tiel et al. 10.1029/2022EF003408
- Operational snow-hydrological modeling for Switzerland R. Mott et al. 10.3389/feart.2023.1228158
- Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling D. Araya et al. 10.5194/hess-27-4385-2023
- Development and parameter estimation of snowmelt models using spatial snow-cover observations from MODIS D. Gyawali & A. Bárdossy 10.5194/hess-26-3055-2022
- Snow depth in high-resolution regional climate model simulations over southern Germany – suitable for extremes and impact-related research? B. Poschlod & A. Daloz 10.5194/tc-18-1959-2024
- Unraveling the time-dependent relevance of input model uncertainties for a lumped hydrologic model of a pre-alpine karst system D. Bittner et al. 10.1007/s10040-021-02377-1
- Suitability of ERA5-Land reanalysis dataset for hydrological modelling in the Alpine region D. Dalla Torre et al. 10.1016/j.ejrh.2024.101718
- A conceptual model for simulating streamflow in a changing snow-covered catchment: application to the data-sparse upper Brahmaputra River basin A. Nury et al. 10.1080/02626667.2022.2083512
- Assessment of H SAF satellite snow products in hydrological applications over the Upper Euphrates Basin A. Şensoy et al. 10.1007/s00704-022-04292-1
- Combining Hydrological Models and Remote Sensing to Characterize Snowpack Dynamics in High Mountains J. Ougahi & J. Rowan 10.3390/rs16020264
3 citations as recorded by crossref.
- Mimicry of a Conceptual Hydrological Model (HBV): What's in a Name? K. Jansen et al. 10.1029/2020WR029143
- Importance of snowmelt contribution to seasonal runoff and summer low flows in Czechia M. Jenicek & O. Ledvinka 10.5194/hess-24-3475-2020
- The evaluation of the potential of global data products for snow hydrological modelling in ungauged high-alpine catchments M. Weber et al. 10.5194/hess-25-2869-2021
Latest update: 29 Jun 2024
Short summary
Snow processes are crucial for runoff in mountainous areas, but their complexity makes water management difficult. Temperature models are widely used as they are simple and do not require much data, but not much thought is usually given to which model to use, which may lead to bad predictions. We studied the impact of many model alternatives and found that a more complex model does not necessarily perform better. Finding which processes are most important in each area is a much better strategy.
Snow processes are crucial for runoff in mountainous areas, but their complexity makes water...
