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.All versions of the dataset, from the raw digitised data to data that have been quality controlled and converted to standard units, are available on PANGAEA: https://doi.org/10.1594/PANGAEA.886511 (Ashcroft et al., 2018).

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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 such weather observations that have been collected by various organizations, many are yet to be transcribed into a useable format. Under the auspices of the European Union funded Uncertainties in Ensembles of Regional ReAnalysis (UERRA) project, we describe the compilation and development of a digital dataset of 8.8 million meteorological observations rescued across the European and southern Mediterranean region, many of them Essential Climate Variables (ECVs) as defined by the Global Climate Observing System (GCOS). By presenting the entire chain of data preparation, from the identification of regions lacking in digitized sub-daily data and the locating of original sources, through the digitization 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 Africa 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 UERRA sub-daily dataset gives us an opportunity to share guidance on future data rescue projects. All data are available on PANGAEA: doi:10.1594/PANGAEA.886511.

ABSTRACT. Long-term drought variability and trends were assessed inBarcelona at annual and seasonal scale for the period 1787-2014 and sub-periods 1851-2014, 1901-2014 and 1951-2014 , although the SPEI was indicating the trend towards drier conditions for the whole period 1851-2014, 1901-2014 y 1951-2014

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