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Preprints
https://doi.org/10.5194/essd-2019-6
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-6
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  21 Jan 2019

21 Jan 2019

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This preprint was under review for the journal ESSD but the revision was not accepted.

Data rescue of daily climate station-based observations across Europe

Joan Ramon Coll1, Gerard van der Schrier2, Enric Aguilar1, Dubravka Rasol3, Roberto Coscarelli4, and Andrés Bishop1 Joan Ramon Coll et al.
  • 1Centre for Climate Change (C3), Rovira i Virgili University (URV), Vila-seca - 43480, Spain
  • 2Royal Netherlands Meteorological Institute (KNMI), De Bilt – 3730 AE, the Netherlands
  • 3Croatian Meteorological and Hydrological Service (DHMZ), Zagreb - 10000, Croatia
  • 4Consiglio Nazionale della Ricerche – Istituto di Ricerca per la Protezione Idrogeologica (CNR-IRPI), Rende - 87036, Italy

Abstract. In the framework of the project Integrated approach for the development across Europe of user oriented climate indicators for GFCS high-priority sectors: agriculture, disaster risk reduction, energy, health, water and tourism (INDECIS 2017–2020), around 610K climate station-based observations were rescued over European regions for the main climate variables (maximum and minimum temperature, rainfall, sunshine duration and snow depth) along the 20th century at daily scale. Rescued data will constitute, together with other gathered regional datasets, the INDECIS-Raw-Dataset, which will expand current European data coverage contained in the European Climate Assessment & Dataset (ECA&D). An extensive examination of the ECA&D dataset was conducted to find spatial-temporal data gaps or stations with low percentage of daily data as prior candidates for data recovery in European regions. This exercise led us to focus our efforts on the Central European region and the Balkans. Digitizing was carried out by using a rigorous key as you see method, meaning that the digitizers type the values provided by data images, rather than using any coding system. Digitizers carefully cross-checked the typed values against original sources for the 10th, 20th and 30th day of each month to make sure that no days were skipped or repeated during the digitizing process. Monthly totals and statistical summaries were computed from transcribed data and were compared with monthly totals and summaries provided by data sources to check accuracy as preliminary quality control. The digitizing method and the quality control of the digitizing process applied in this study ensured an accurate data transcription according to the obtained statistics.

The daily dataset rescued in this study across Europe is available at: https://doi.pangaea.de/10.1594/PANGAEA.896957

Joan Ramon Coll et al.

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Joan Ramon Coll et al.

Data sets

Daily rescued meteorological observations across Europe (1917-1990) J. R. Coll, G. van der Schrier, E. Aguilar, D. Rasol, R. Coscarelli, and A. Bishop https://doi.pangaea.de/10.1594/PANGAEA.896957

Joan Ramon Coll et al.

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Short summary
Around 610K climate station-based observations were rescued over European regions for the main climate variables (maximum and minimum temperature, rainfall, sunshine duration and snow depth) along the 20th century at daily scale in the INDECIS Project. Rescued data will constitute the INDECIS-Raw-Dataset, which will expand current European data coverage contained in the European Climate Assessment & Dataset (ECA&D). The expansion of ECA&D will improve the high-quality of future climate products.
Around 610K climate station-based observations were rescued over European regions for the main...
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