Glaide.jl input data for the Aletsch setup
<p>This repository provides the source data one cannot automatically download needed to generate the input data for the Aletsch glacier setup in the Glaide.jl model.</p> <p>The repository contains following 4 datasets:</p> <table> <tbody> <tr> <td> <p><strong>aletsch_fix.dat</strong></p> </td> <td> <p>The surface mass balance (SMB) data is provided in the form of annual mass balance per elevation band. The data set covers time period from 1914 to 2022. We extract and use the SMB data for 2016-2017 hydrological year.</p> <p><em>Source: GLAMOS (2023). Swiss Glacier Mass Balance, release 2023, Glacier Monitoring Switzerland, <a href="https://doi.org/10.18750/massbalance.2023.r2023" target="_blank" rel="noopener">https://doi.org/10.18750/massbalance.2023.r2023</a>.</em></p> </td> </tr> <tr> <td> <p><strong>aletsch2009.asc</strong></p> <p><strong>aletsch2017.asc</strong></p> </td> <td> <p>The surface elevation dataset from <a href="https://www.swisstopo.admin.ch/en/height-model-swissalti3d" target="_blank" rel="noopener">swissALTI3D</a> (swisstopo) provides data to replace the missing points in the bedrock dataset for the years 2009 and 2017. </p> <p><em>Source: swissALTI3D - Das hoch aufgelöste Terrainmodell der Schweiz (2022), Swiss Federal Office of Topography swisstopo, <a href="https://backend.swisstopo.admin.ch/fileservice/sdweb-docs-prod-swisstopoch-files/files/2023/11/14/6d40e558-c3df-483a-bd88-99ab93b88f16.pdf" target="_blank" rel="noopener">https://backend.swisstopo.admin.ch/fileservice/sdweb-docs-prod-swisstopoch-files/files/2023/11/14/6d40e558-c3df-483a-bd88-99ab93b88f16.pdf</a>.</em></p> </td> </tr> <tr> <td> <p><strong>ALPES_wFLAG_wKT_ANNUALv2016-2021.nc</strong></p> </td> <td> <p>Annual glacier surface flow velocity product from Sentinel-2 data for the European Alps.</p> <p><em>Source: Rabatel, A., Ducasse, E., Millan, R., Mouginot, J. (2023). Annual glacier surface flow velocity product from Sentinel-2 data for the European Alps, <a href="https://doi.org/10.57745/XHQ7TL" target="_blank" rel="noopener">https://doi.org/10.57745/XHQ7TL</a>, Recherche Data Gouv, V1.</em></p> </td> </tr> </tbody> </table> <p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4