
Related items loading ...
Dataset Title
Modelling of the Seasonal Snow Cover Dynamics for Open and Forested Areas in the Berchtesgaden National Park (Germany) Using the openAMUNDSEN Mountain Snow Cover Model
Dataset DOI
Abstract
Mountain snowpacks represent an important source of freshwater whereby most of the seasonally snow-covered mountain areas are partly forested. Hence, an understanding of the effect of the forest canopy, on top of topographical variations, on the build-up and melt of a seasonal snow cover is important, for example, for water resources management. In this study, we assess the seasonal snow cover dynamics for open and forested areas in the Berchtesgaden National Park (BGNP) located in South-East Germany, by applying the mountain snow model openAMUNDSEN. Station-based meteorological observations are processed and used to force model simulations in 3-hourly timesteps on a 50 × 50 m spatial grid for the time frame 10/2018 to 09/2023. We use point observations of snow, fractional snow cover maps from Sentinel-2 and wet snow maps based on Sentinel-1 to evaluate model results in the open. For the evaluation of the model results inside the forest, we utilise measured ground temperatures from a unique network of 150 microclimate loggers (TOMST TMS-4) and compare derived snow cover durations (SCDs) and the snow disappearance days (SDDs) to the simulations. The results show that openAMUNDSEN is capable of modelling the spatio-temporal variations of the snow cover depending on both topography and land cover in the BGNP. Our analysis indicates that the use of a combined dataset consisting of snow cover data derived from remote sensing, point observations in the open and measured ground temperature in the forest can overcome and compensate for limitations of individual data sources. Next steps in the development of the openAMUNDSEN model setup for the BGNP should include the refinement of lateral snow redistribution processes and the development of a forest type distribution map to better represent the small-scale variability of the leaf area index.
Program Affiliations
Creators and Contributors
Erwin Rottler | | brage.storebakken@uibk.ac.at | University of Innsbruck, Innsbruck, Tyrol, Austria |
Brage Storebakken | | | |
Michael Warscher | | | |
Florian Hanzer | | | |
Elena Bertazza | | | |
Ulrich Strasser | | | |
Citations
Storebakken, B., E. Rottler, M. Warscher, and U. Strasser (2025). Modelling of the Seasonal Snow Cover Dynamics for Open and Forested Areas in the Berchtesgaden National Park (Germany) Using the openAMUNDSEN Mountain Snow Cover Model. Hydrological Processes 39, no. 7: e70197.
https://doi.org/10.1002/hyp.70197
Datasets and Real-time Data Feeds
Download Links and Instructions
The openAMUNDSEN model is an open source project and the full source code of the model including example data is available at:
https://github.com/openamundsen/openamundsen The model setup for the BGNP used to conduct the presented snow simulations including the used model parameters and configuration can be found at:
https://doi.org/10.23728/b2share.ce1c9a25f2b84de6bbf694a85dfc66ca The satellite-based snow data used to evaluate the model results, the snow station measurements and the ground temperatures from the microclimate loggers can be provided upon request (brage.storebakken@uibk.ac.at)