Abstract

Abstract We describe the construction of a new version of the Europe‐wide E‐OBS temperature (daily minimum, mean, and maximum values) and precipitation data set. This version provides an improved estimation of interpolation uncertainty through the calculation of a 100‐member ensemble of realizations of each daily field. The data set covers the period back to 1950 and provides gridded fields at a spacing of 0.25 ∘ × 0.25 ∘ in regular latitude/longitude coordinates. As with the original E‐OBS data set, the ensemble version is based on the station series collated as part of the ECA&D initiative. Station density varies significantly over the domain, and over time, and a reliable estimation of interpolation uncertainty in the gridded fields is therefore important for users of the data set. The uncertainty quantified by the ensemble data set is more realistic than the uncertainty estimates in the original version, although uncertainty is still underestimated in data‐sparse regions. The new data set is compared against the earlier version of E‐OBS and against regional gridded data sets produced by a selection of National Meteorological Services. In terms of both climatological averages and extreme values, the new version of E‐OBS is broadly comparable to the earlier version. Nonetheless, users will notice differences between the two E‐OBS versions, especially for precipitation, which arises from the different gridding method used.

Keywords

Interpolation (computer graphics)Data setSet (abstract data type)PrecipitationMeteorologyField (mathematics)Geographic coordinate systemComputer scienceData miningMathematicsStatisticsGeographyGeodesyArtificial intelligence

Affiliated Institutions

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Publication Info

Year
2018
Type
article
Volume
123
Issue
17
Pages
9391-9409
Citations
1735
Access
Closed

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Social media, news, blog, policy document mentions

Citation Metrics

1735
OpenAlex
171
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Cite This

Richard Cornes, Gerard van der Schrier, Else van den Besselaar et al. (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

Identifiers

DOI
10.1029/2017jd028200

Data Quality

Data completeness: 86%