Articles | Volume 19, issue 11
https://doi.org/10.5194/hess-19-4517-2015
© Author(s) 2015. 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-19-4517-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A conceptual, distributed snow redistribution model
S. Frey
CORRESPONDING AUTHOR
Institute of Water Management, Hydrology and Hydraulic Engineering, University of Natural Resources and Life Sciences, Vienna, Austria
H. Holzmann
Institute of Water Management, Hydrology and Hydraulic Engineering, University of Natural Resources and Life Sciences, Vienna, Austria
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Cited
27 citations as recorded by crossref.
- Potenzial von Machine Learning bei der kurzfristigen Leistungsprognose innerhalb einer Laufkraftwerkskette C. Klingler et al.
- Application and assessment of a downscaled GPM dataset in the simulation of snowmelt runoff in alpine mountainous areas Y. Zhang et al.
- Impact of snow distribution modelling for runoff predictions I. Clemenzi et al.
- Quantifying glacier accumulation in the western Tianshan Mountains considering snow redistribution G. Fang et al.
- Retrieval of Snow Water Equivalent, Liquid Water Content, and Snow Height of Dry and Wet Snow by Combining GPS Signal Attenuation and Time Delay F. Koch et al.
- Evaluating precipitation corrections to enhance high-alpine hydrological modeling T. Pulka et al.
- Hydrological modelling in the anthroposphere: predicting local runoff in a heavily modified high-alpine catchment J. Wesemann et al.
- Regional-scale assessment of groundwater recharge and the water balance for Austria H. Zeitfogel et al.
- A model for the spatial distribution of snow water equivalent parameterized from the spatial variability of precipitation T. Skaugen & I. Weltzien
- Changes in Snow Depth, Snow Cover Duration, and Potential Snowmaking Conditions in Austria, 1961–2020—A Model Based Approach M. Olefs et al.
- Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps H. Lievens et al.
- Development of the snow- and ice-accounting routine (SIAR) D. Ruelland
- Function Space Optimization: A Symbolic Regression Method for Estimating Parameter Transfer Functions for Hydrological Models M. Feigl et al.
- Remote sensing, hydrological modeling and in situ observations in snow cover research: A review C. Dong
- Adjustment of spatio-temporal precipitation patterns in a high Alpine environment M. Herrnegger et al.
- Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions J. Janzing et al.
- Weiße Wasserspeicher – Analyse und Modellierung der Schneedichte in den österreichischen Alpen und Alpenvorländern S. Achleitner & J. Schöber
- Intercomparison of Sentinel-2 and modelled snow cover maps in a high-elevation Alpine catchment F. Hofmeister et al.
- Impacts of microtopographic snow redistribution and lateral subsurface processes on hydrologic and thermal states in an Arctic polygonal ground ecosystem: a case study using ELM-3D v1.0 G. Bisht et al.
- Assessing the degree of detail of temperature-based snow routines for runoff modelling in mountainous areas in central Europe M. Girons Lopez et al.
- Constraining the HBV model for robust water balance assessments in a cold climate H. Erlandsen et al.
- A first attempt to model global hydrology at hyper-resolution B. van Jaarsveld et al.
- Should altitudinal gradients of temperature and precipitation inputs be inferred from key parameters in snow-hydrological models? D. Ruelland
- LamaH-CE: LArge-SaMple DAta for Hydrology and Environmental Sciences for Central Europe C. Klingler et al.
- Behandlung künstlicher Speicher und Überleitungen in der alpinen Niederschlags-Abfluss-Vorhersage J. Wesemann et al.
- Quantification of different flow components in a high-altitude glacierized catchment (Dudh Koshi, Himalaya): some cryospheric-related issues L. Mimeau et al.
- Seasonal discharge forecasting for the Upper Danube I. Martin Santos et al.
27 citations as recorded by crossref.
- Potenzial von Machine Learning bei der kurzfristigen Leistungsprognose innerhalb einer Laufkraftwerkskette C. Klingler et al.
- Application and assessment of a downscaled GPM dataset in the simulation of snowmelt runoff in alpine mountainous areas Y. Zhang et al.
- Impact of snow distribution modelling for runoff predictions I. Clemenzi et al.
- Quantifying glacier accumulation in the western Tianshan Mountains considering snow redistribution G. Fang et al.
- Retrieval of Snow Water Equivalent, Liquid Water Content, and Snow Height of Dry and Wet Snow by Combining GPS Signal Attenuation and Time Delay F. Koch et al.
- Evaluating precipitation corrections to enhance high-alpine hydrological modeling T. Pulka et al.
- Hydrological modelling in the anthroposphere: predicting local runoff in a heavily modified high-alpine catchment J. Wesemann et al.
- Regional-scale assessment of groundwater recharge and the water balance for Austria H. Zeitfogel et al.
- A model for the spatial distribution of snow water equivalent parameterized from the spatial variability of precipitation T. Skaugen & I. Weltzien
- Changes in Snow Depth, Snow Cover Duration, and Potential Snowmaking Conditions in Austria, 1961–2020—A Model Based Approach M. Olefs et al.
- Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps H. Lievens et al.
- Development of the snow- and ice-accounting routine (SIAR) D. Ruelland
- Function Space Optimization: A Symbolic Regression Method for Estimating Parameter Transfer Functions for Hydrological Models M. Feigl et al.
- Remote sensing, hydrological modeling and in situ observations in snow cover research: A review C. Dong
- Adjustment of spatio-temporal precipitation patterns in a high Alpine environment M. Herrnegger et al.
- Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions J. Janzing et al.
- Weiße Wasserspeicher – Analyse und Modellierung der Schneedichte in den österreichischen Alpen und Alpenvorländern S. Achleitner & J. Schöber
- Intercomparison of Sentinel-2 and modelled snow cover maps in a high-elevation Alpine catchment F. Hofmeister et al.
- Impacts of microtopographic snow redistribution and lateral subsurface processes on hydrologic and thermal states in an Arctic polygonal ground ecosystem: a case study using ELM-3D v1.0 G. Bisht et al.
- Assessing the degree of detail of temperature-based snow routines for runoff modelling in mountainous areas in central Europe M. Girons Lopez et al.
- Constraining the HBV model for robust water balance assessments in a cold climate H. Erlandsen et al.
- A first attempt to model global hydrology at hyper-resolution B. van Jaarsveld et al.
- Should altitudinal gradients of temperature and precipitation inputs be inferred from key parameters in snow-hydrological models? D. Ruelland
- LamaH-CE: LArge-SaMple DAta for Hydrology and Environmental Sciences for Central Europe C. Klingler et al.
- Behandlung künstlicher Speicher und Überleitungen in der alpinen Niederschlags-Abfluss-Vorhersage J. Wesemann et al.
- Quantification of different flow components in a high-altitude glacierized catchment (Dudh Koshi, Himalaya): some cryospheric-related issues L. Mimeau et al.
- Seasonal discharge forecasting for the Upper Danube I. Martin Santos et al.
Saved (final revised paper)
Latest update: 11 May 2026
Short summary
Temperature index melt models often lead to snow accumulation in high mountainous elevations. We developed a simple conceptual snow redistribution model working on a commonly used grid cell size of 1x1km. That model is integrated in the hydrological rainfall runoff model COSERO. Applying the model to the catchment of Oetztaler Ache, Austria, could prevent the accumulation of snow in the upper altitudes and lead to an improved model efficiency regarding discharge and snow coverage (MODIS).
Temperature index melt models often lead to snow accumulation in high mountainous elevations. We...