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

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

doi:https://doi.org/10.5194/essd-9-471-2017

Articles | Volume 9, issue 2

Earth Syst. Sci. Data, 9, 471–495, 2017

https://doi.org/10.5194/essd-9-471-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Earth Syst. Sci. Data, 9, 471–495, 2017

https://doi.org/10.5194/essd-9-471-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.

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Final revised paper (published on 21 Jul 2017)
Preprint (discussion started on 06 Jan 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of Jones et al essd-2016-67', Graham Weedon, 08 Feb 2017
RC2: 'Review', Helge Goessling, 22 Feb 2017
AC1: 'Response to Reviewers 1 and 2 - text with fonts and additional Figures is in the Supplement pdf', Philip Jones, 16 Mar 2017

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 ftp://ecem.climate.copernicus.eu.