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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.&nbsp;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&nbsp;<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.&nbsp;</p> <p><em>Source: swissALTI3D - Das hoch aufgel&ouml;ste 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>&nbsp;</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