Articles | Volume 9, issue 2
Review article
21 Jul 2017
Review article |  | 21 Jul 2017

Using ERA-Interim reanalysis for creating datasets of energy-relevant climate variables

Philip D. Jones, Colin Harpham, Alberto Troccoli, Benoit Gschwind, Thierry Ranchin, Lucien Wald, Clare M. Goodess, and Stephen Dorling


Interactive discussion

Status: closed
Status: closed
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Short summary
The construction of a bias-adjusted dataset of climate variables at the near surface using ERA-Interim reanalysis is presented. The variables are air temperature, dewpoint temperature, precipitation (daily only), solar radiation, wind speed, and relative humidity.The resulting bias-adjusted dataset is available through the Climate Data Store (CDS) of the Copernicus Climate Change Data Store (C3S), and can be accessed at present from