Articles | Volume 7, issue 6
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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

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
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.