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

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

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

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

Download

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

- Printer-friendly version

- 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.