Assessment of snow model uncertainty in relation to the effect of a 1°C warming using the snow modelling framework openAMUNDSEN

DOI

To investigate the uncertainty induced by the selection of the snow model configuration, we simulate the seasonal snow cover in the complex mountain area of the Berchtesgaden National Park under historical conditions (10/2013- 09/2023) and for a 10-year period characterized by a 1°C warming, using a large number of openAMUNDSEN snow model configurations with degree-day as well as physically based snowmelt methods and varying land cover maps and spatial resolutions. This repository holds gridded model input data and scripts to prepare gridded model input data and to run the model in different configurations.

Identifier
DOI https://doi.org/10.23728/b2share.530a7560a73647459969f5c21639e8cb
Source https://b2share.eudat.eu/records/530a7560a73647459969f5c21639e8cb
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/530a7560a73647459969f5c21639e8cb
Provenance
Creator Rottler, Erwin; Storebakken, Brage; Warscher, Michael; Hanzer, Florian; Bertazza, Elena; Strasser, Ulrich
Publisher EUDAT B2SHARE
Publication Year 2025
Rights Creative Commons Attribution (CC-BY); info:eu-repo/semantics/openAccess
OpenAccess true
Contact erwin.rottler(at)uibk.ac.at
Representation
Format zip
Size 35.0 MB; 1 file
Discipline 3.3.13 → Earth sciences → Hydrology