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. and Dorling, Stephen (2017) Using ERA-Interim reanalysis for creating datasets of energy-relevant climate variables. Earth System Science Data, 9 (2). pp. 471-495. ISSN 1866-3516

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    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 ftp://ecem.climate.copernicus.eu. The benefit of performing bias adjustment is demonstrated by comparinginitial and bias-adjusted ERA-Interim data against gridded observational fields.

    Item Type: Article
    Faculty \ School: Faculty of Science > School of Environmental Sciences
    Related URLs:
    Depositing User: Pure Connector
    Date Deposited: 27 Jul 2017 06:05
    Last Modified: 09 Apr 2019 12:25
    URI: https://ueaeprints.uea.ac.uk/id/eprint/64279
    DOI: 10.5194/essd-9-471-2017

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