Using ERA-Interim reanalysis for creating datasets of energy-relevant climate variablesReport as inadecuate

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1 Climatic Research Unit 2 O.I.E. - Centre Observation, Impacts, Énergie 3 School of Environmental Sciences, University of East Anglia

Abstract : The construction of a bias-adjusted dataset of climate variables at the near surface using ERA-Interim reanalysis is presented. A number of different, variable-dependent, bias-adjustment approaches have been proposed. Here we modify the parameters of different distributions depending on the variable, adjusting ERA-Interim based on gridded station or direct station observations. The variables are air temperature, dewpoint temperature, precipitation daily only, solar radiation, wind speed, and relative humidity. These are available on either 3 or 6 h timescales over the period 1979–2016. 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 The benefit of performing bias adjustment is demonstrated by comparing initial and bias-adjusted ERA-Interim data against gridded observational fields.

Author: Philip Jones - Colin Harpham - Alberto Troccoli - Benoît Gschwind - Thierry Ranchin - Lucien Wald - Clare Goodess - Stephen Dorl



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