ADO SNOWGRID CL Validation Report


FAIR Overall Score

92%

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

SPEI, ADO, ADO project, Snowgrid, ADO platform, cct, Italy, Europe, Austria, Slovenia, Hydrography, natural dynamics, natural areas, landscape, ecosystems, climate, disasters, accidents, risk, water

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


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

Assessed 2026-07-22 (metrics 0.8)

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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