Articles | Volume 7, issue 6
https://doi.org/10.5194/gmd-7-3135-2014
https://doi.org/10.5194/gmd-7-3135-2014
Model description paper
 | 
19 Dec 2014
Model description paper |  | 19 Dec 2014

MeteoIO 2.4.2: a preprocessing library for meteorological data

M. Bavay and T. Egger

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mathias Bavay on behalf of the Authors (05 Nov 2014)  Author's response   Manuscript 
ED: Publish as is (22 Nov 2014) by Adrian Sandu
AR by Mathias Bavay on behalf of the Authors (27 Nov 2014)
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Short summary
The open-source MeteoIO library has been designed to perform the data preprocessing required by numerical models using large meteorological data sets, with a strong emphasis on simplicity and modularity. It retrieves, filters and resamples the data if necessary as well as provides spatial interpolations and parameterizations. It presents a uniform interface to meteorological data in the models, hides the complexity of the preprocessing and guarantees a robust behaviour in case of data errors.