ADO SNOWGRID CL Validation Report
FAIR Overall Score
Abstract
ADO Datasets from deliverable D.T2.1.1 are downscaled from ERA5 surface datasets (Hersbach et al. 2018) using quantile mapping. As ERA5 snow data cannot be downscaled in a similar manner (no snow data available from UERRA mescan surfex; Bazile et al. 2017) and its accuracy within the alpine domain was questioned, a modified version of the deterministic snow model SNOWGRID-CL (Olefs et al. 2020) was used to derive daily fields of snow depth and snow water equivalent within the scope of the ADO project (part of deliverable D.T1.2.1).
Keywords
Digital Object Identifier (DOI)
https://doi.org/10.48784/4073c29e-da1b-461f-8e90-bf8b3979d2c7
Contact for metadata
Eurac Research - Institute for Earth Observation
peterjames.zellner@eurac.edu
Download online resources
https://github.com/Eurac-Research/ado-data/blob/main/factsheets/ado_snowgridvali...
FAIR Overall Score: 92%
| Principle | Score | Earned | Level |
|---|---|---|---|
| Findable | 100% | 7 of 7 | advanced |
| Accessible | 100% | 7 of 7 | advanced |
| Interoperable | 100% | 6 of 6 | advanced |
| Reusable | 67% | 4 of 6 | moderate |
Evaluated by F-UJI web service: Anusuriya Devaraju, & Robert Huber. (2020). F-UJI - An Automated FAIR Data Assessment Tool. Zenodo. https://doi.org/10.5281/zenodo.6361400
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