Document type: info:eu-repo/semantics/other
DOI: 10.1594/PANGAEA.886511
Related publications: Ashcroft, L., Coll, J. R., Gilabert, A., Domonkos, P., Aguilar, E., Sigró, J., Castella, M., Unden, P., Harris, I., Jones, P., & Brunet, M. (2018). A rescued dataset of sub-daily meteorological observations for Europe and the southern Mediterranean region, 1877–2012. https://doi.org/10.5194/essd-2018-39
Research group: Centre en Canvi Climàtic
Departament: Geografia
Author: Coll, Joan Ramon
Repository ingest date: 2018-01-01
Funding program action: Government of Catalonia (GC) with grant 2017-DI-002, by the GC with project 2017-SGR-896; Universitat Rovira i Virgili with project 2017PFR-URV-B2-41; Spanish Ministry of Science & Technology with project IoTrain—RTI2018-095499-B-C32; EU Commission with project LOCARD (Grant Agreement no. 832735); COST Action 19121 Goodbrother; A.S. is partially supported by APWG.EU
Dataset publication year: 2018
Subject matter: Geografia
Related publication's DOI: 10.5194/essd-2018-39
Language: en
Published by (editorial): Universitat Rovira i Virgili (URV)
Access rights: info:eu-repo/semantics/openAccess
Abstract: Under the auspices of Work Package 1 of the European Union funded Uncertainties in Ensembles of Regional ReAnalysis (UERRA) project, we present a digital dataset of 8.8 million subdaily meteorological observations rescued across the European and the southern Mediterranean region. Data from 127 stations and of 15 climate variables (many of them Essential Climate Variables as defined by the Global Climate Observing System) in the northern Africa and European sectors have been recovered for the period 1877 to 2012. Quality control of the data using a two-step semi-automatic statistical approach identified 3.5% of observations that required correction or removal, on par with previous data rescue efforts. Here we provide all versions of the rescued dataset to ensure it is as traceable as possible: the transcribed data in original units (in the original files); data at each stage of quality control (in the original files); and the final values in SI units, along with quality control flags and conversion methods. The original scanned images are available through the Universitat Rovira i Virgili Centre for Climate Change (http://www.c3.urv.cat/). Further details of the dataset development are provided in the associated peer-reviewed publication.
Repositori URV