Brief Communication: Mapping river ice using drones and structure from motion

• Published in: The Cryosphere
• Main Authors: Alfredsen, Knut, Haas, Christian, Tuthan, J, Zinke, Peggy
• Format: Article in Journal/Newspaper
• Language: English
• Published: European Geosciences Union (EGU) 2018
• Subjects: The Cryosphere
• Online Access: http://hdl.handle.net/11250/2485860; https://doi.org/10.5194/tc-12-1-2018

Twenty-first century snowfall changes over the European Alps are assessed based on high-resolution regional climate model (RCM) data made available through the EURO-CORDEX initiative. Fourteen different combinations of global and regional climate models with a target resolution of 12 km and two different emission scenarios are considered. As raw snowfall amounts are not provided by all RCMs, a newly developed method to separate snowfall from total precipitation based on near-surface temperature conditions and accounting for subgrid-scale topographic variability is employed. The evaluation of the simulated snowfall amounts against an observation-based reference indicates the ability of RCMs to capture the main characteristics of the snowfall seasonal cycle and its elevation dependency but also reveals considerable positive biases especially at high elevations. These biases can partly be removed by the application of a dedicated RCM bias adjustment that separately considers temperature and precipitation biases. publishedVersion © Author(s) 2018. This work is distributed under the Creative Commons Attribution 3.0 License.