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

Data sets

C3S ECEM FILENAME CONVENTION Copernicus Atmosphere Monitoring Service ftp://ecem.climate.copernicus.eu/C3S_ECEM_README_v1.pdf

Copernicus Climate Change Data Store Copernicus Climate Data Service ftp://ecem.climate.copernicus.eu/

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.