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Oliveira, Ana (2019): Extreme Temperature Indices Time Series - Yearly summary ET-SCI Indices calculated from E-OBS v17.e dataset, with ClimPACT2 software at 5 Southern European Cities [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.898885

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Abstract:
In this study, a set of 22 sector-relevant extreme temperature indices, approved by the Expert Team on Climate Risk and Sector-specific Indices (ET-SCI), was calculated from daily values of maximum and minimum temperatures from the gridded data of the ENSEMBLES-RT5 European project (E-OBS, ensemble version 17.e), at the location of 5 Southern European metropolitan cities: Athens, Barcelona, Lisbon, Marseille and Naples.
Daily Maximum (TX) and minimum (TN) surface temperature data were extracted from the gridded Europe-wide ensemble dataset (E-OBS), from the EU-FP6 project UERRA (http://www.uerra.eu) and the Copernicus Climate Change Service, based on station observations data provided by the European Climate Assessment & Dataset project (ECA&D, available at https://www.ecad.eu) (Cornes et al. 2018). Maximum temperature (TX) and Minimum Temperature (TN) time series were extracted at the location of each city, assuring that each grid cell contained an ECA&D station, thus reducing uncertainty to the minimum. The whole time span available at the time of the study was considered (from 1950 up to September 2018), and only Athens had fewer data available, with time series ending on 2005. The study focuses on 22 sector-relevant extreme temperature indices, from the Expert Team on Climate Risk and Sector-specific Indices (ET-SCI), all calculated on a yearly basis, using the R-based ClimPACT2 tool (Alexander and Herold 2016).
The time series data was subject to quality control (QC), the first step in using the ClimPACT2 software, as instructed in the respective User Guide (Alexander and Herold 2016). After QC assessment, reported errors were manually checked, and replaced with null values (missing data). Afterwards, missing data percentage was assessed, assuring it to comply with the World Meteorological Organization recommendations (WMO 2016): missing data percentage was below the 0.05% level, on every case.
Please note that the data here presented corresponds to an earlier version of the dataset mentioned in the following articles: Oliveira et al. (2022a: doi:10.1016/j.dib.2022.108511) and Oliveira et al. (2022b: doi:10.1016/j.wace.2022.100455).
Keyword(s):
climPACT2; coldwave indices; correlation; E-OBS; ET-SCI; heatwave indices; Southern European cities; trends
Related to:
Oliveira, Ana; Lopes, António; Correia, Ezequiel (2022): Annual summaries dataset of Heatwaves in Europe, as defined by the Excess Heat Factor. Data in Brief, 44, 108511, https://doi.org/10.1016/j.dib.2022.108511
Oliveira, Ana; Lopes, António; Soares, Amílcar (2022): Excess Heat Factor climatology, trends, and exposure across European Functional Urban Areas. Weather and Climate Extremes, 36, 100455, https://doi.org/10.1016/j.wace.2022.100455
Further details:
Alexander, Lisa V; Herold, Nicholas (2016): ClimPACT2: Indices and software. https://github.com/ARCCSS-extremes/climpact2, hdl:10013/epic.94f52968-eeed-4766-9285-5c3466c98932
Cornes, Richard C; van der Schrier, Gerard; van den Besselaar, Else J M; Jones, Philip D (2018): An Ensemble Version of the E-OBS Temperature and Precipitation Data Sets. Journal of Geophysical Research: Atmospheres, 123(17), 9391-9409, https://doi.org/10.1029/2017JD028200
Coverage:
Median Latitude: 40.510000 * Median Longitude: 7.290000 * South-bound Latitude: 38.050000 * West-bound Longitude: -9.150000 * North-bound Latitude: 43.350000 * East-bound Longitude: 23.750000
Date/Time Start: 1950-01-01T00:00:00 * Date/Time End: 2018-09-30T00:00:00
Comment:
We acknowledge the E-OBS dataset from the EU-FP6 project UERRA (http://www.uerra.eu) and the Copernicus Climate Change Service, and the data providers in the ECA&D project (https://www.ecad.eu).
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
10 datasets

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Datasets listed in this publication series

  1. Oliveira, A (2019): Temperature percentiles thresholds in Athens, Greece, for the base period 1961-1990. https://doi.org/10.1594/PANGAEA.898943
  2. Oliveira, A (2019): Extreme Temperature ET-SCI Indices - Annual time-series - Athens, Greece. https://doi.org/10.1594/PANGAEA.898880
  3. Oliveira, A (2019): Temperature percentiles thresholds in Barcelona, Spain, for the base period 1961-1990. https://doi.org/10.1594/PANGAEA.898944
  4. Oliveira, A (2019): Extreme Temperature ET-SCI Indices - Annual time-series - Barcelona, Spain. https://doi.org/10.1594/PANGAEA.898881
  5. Oliveira, A (2019): Temperature percentiles thresholds in Lisbon, Portugal, for the base period 1961-1990. https://doi.org/10.1594/PANGAEA.898945
  6. Oliveira, A (2019): Extreme Temperature ET-SCI Indices - Annual time-series - Lisbon, Portugal. https://doi.org/10.1594/PANGAEA.898882
  7. Oliveira, A (2019): Temperature percentiles thresholds in Marseille, France, for the base period 1961-1990. https://doi.org/10.1594/PANGAEA.898946
  8. Oliveira, A (2019): Extreme Temperature ET-SCI Indices - Annual time-series - Marseille, France. https://doi.org/10.1594/PANGAEA.898883
  9. Oliveira, A (2019): Temperature percentiles thresholds in Naples, Italy, for the base period 1961-1990. https://doi.org/10.1594/PANGAEA.898947
  10. Oliveira, A (2019): Extreme Temperature ET-SCI Indices - Annual time-series - Naples, Italy. https://doi.org/10.1594/PANGAEA.898884