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.
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.
the Creative Commons Attribution 3.0 License.
Review article
| 
21 Jul 2017
Review article |
| 21 Jul 2017
Using ERA-Interim reanalysis for creating datasets of energy-relevant climate variables
Climatic Research Unit (CRU), School of Environmental Sciences,University of East Anglia, Norwich, NR4 7TJ, UK
Center of Excellence for Climate Change Research, Department of Meteorology, King Abdulaziz University, Jeddah, Saudi Arabia
Colin Harpham
Climatic Research Unit (CRU), School of Environmental Sciences,University of East Anglia, Norwich, NR4 7TJ, UK
Alberto Troccoli
School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK
World Energy & Meteorology Council (WEMC), Norwich, NR4 7TJ, UK
Benoit Gschwind
MINES ParisTech, PSL Research University, O.I.E. – Centre Observation, Impacts, Energy, 06904 Sophia Antipolis, France
Thierry Ranchin
MINES ParisTech, PSL Research University, O.I.E. – Centre Observation, Impacts, Energy, 06904 Sophia Antipolis, France
Lucien Wald
MINES ParisTech, PSL Research University, O.I.E. – Centre Observation, Impacts, Energy, 06904 Sophia Antipolis, France
Clare M. Goodess
Climatic Research Unit (CRU), School of Environmental Sciences,University of East Anglia, Norwich, NR4 7TJ, UK
Stephen Dorling
School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK
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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 ftp://ecem.climate.copernicus.eu.
The construction of a bias-adjusted dataset of climate variables at the near surface using...
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