Articles producció científica> Geografia

A rescued dataset of sub-daily meteorological observations for Europe and the southern Mediterranean region, 1877-2012

  • Identification data

    Identifier: imarina:5132323
    Handle: http://hdl.handle.net/20.500.11797/imarina5132323
  • Authors:

    Ashcroft, Linden
    Coll, Joan Ramon
    Gilabert, Alba
    Domonkos, Peter
    Brunet, Manola
    Aguilar, Enric
    Castella, Merce
    Sigro, Javier
    Harris, Ian
    Unden, Per
    Jones, Phil
  • Others:

    Author, as appears in the article.: Ashcroft, Linden; Coll, Joan Ramon; Gilabert, Alba; Domonkos, Peter; Brunet, Manola; Aguilar, Enric; Castella, Merce; Sigro, Javier; Harris, Ian; Unden, Per; Jones, Phil
    Department: Geografia
    URV's Author/s: Aguilar Anfrons, Enrique Modesto / ASHCROFT, LINDEN CLAIRE / Brunet India, Manuela Catalina / COLL BENAGES, JOAN RAMON / DOMONKOS, PÉTER / GILABERT GALLART, ALBA / Sigró Rodríguez, Francisco Javier
    Keywords: Station observations Reanalysis Historical surface Climate data Accuracy
    Abstract: Sub-daily meteorological observations are needed for input to and assessment of high-resolution reanalysis products to improve understanding of weather and climate variability. While there are millions of such weather observations that have been collected by various organisations, many are yet to be transcribed into a useable format. Under the auspices of the Uncertainties in Ensembles of Regional ReAnalyses (UERRA) project, we describe the compilation and development of a digital dataset of 8.8 million meteorological observations of essential climate variables (ECVs) rescued across the European and southern Mediterranean region. By presenting the entire chain of data preparation, from the identification of regions lacking in digitised sub-daily data and the location of original sources, through the digitisation of the observations to the quality control procedures applied, we provide a rescued dataset that is as traceable as possible for use by the research community. Data from 127 stations and of 15 climate variables in the northern African and European sectors have been prepared 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. In addition to providing a new sub-daily meteorological dataset for the research community, our experience in the development of this sub-daily dataset gives us an opportunity to share some suggestions for future data rescue projects.
    Research group: Centre en Canvi Climàtic (C3)
    Thematic Areas: Meteorology & atmospheric sciences Geosciences, multidisciplinary General earth and planetary sciences Earth and planetary sciences (miscellaneous) Earth and planetary sciences (all) Biodiversidade
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 18663508
    Author's mail: manola.brunet@urv.cat enric.aguilar@urv.cat javier.sigro@urv.cat
    Author identifier: 0000-0002-9386-710X 0000-0002-8384-377X 0000-0003-0969-0338
    Record's date: 2023-02-22
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://essd.copernicus.org/articles/10/1613/2018/
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Earth System Science Data. 10 (3): 1613-1635
    APA: Ashcroft, Linden; Coll, Joan Ramon; Gilabert, Alba; Domonkos, Peter; Brunet, Manola; Aguilar, Enric; Castella, Merce; Sigro, Javier; Harris, Ian; Unde (2018). A rescued dataset of sub-daily meteorological observations for Europe and the southern Mediterranean region, 1877-2012. Earth System Science Data, 10(3), 1613-1635. DOI: 10.5194/essd-10-1613-2018
    Article's DOI: 10.5194/essd-10-1613-2018
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2018
    Publication Type: Journal Publications
  • Keywords:

    Earth and Planetary Sciences (Miscellaneous),Geosciences, Multidisciplinary,Meteorology & Atmospheric Sciences
    Station observations
    Reanalysis
    Historical surface
    Climate data
    Accuracy
    Meteorology & atmospheric sciences
    Geosciences, multidisciplinary
    General earth and planetary sciences
    Earth and planetary sciences (miscellaneous)
    Earth and planetary sciences (all)
    Biodiversidade
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