Articles | Volume 10, issue 12
https://doi.org/10.5194/gmd-10-4619-2017
https://doi.org/10.5194/gmd-10-4619-2017
Methods for assessment of models
 | 
19 Dec 2017
Methods for assessment of models |  | 19 Dec 2017

A data model of the Climate and Forecast metadata conventions (CF-1.6) with a software implementation (cf-python v2.1)

David Hassell, Jonathan Gregory, Jon Blower, Bryan N. Lawrence, and Karl E. Taylor

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by David Hassell on behalf of the Authors (31 Oct 2017)  Author's response   Manuscript 
ED: Publish subject to technical corrections (02 Nov 2017) by Steve Easterbrook
AR by David Hassell on behalf of the Authors (09 Nov 2017)  Manuscript 
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Short summary
We present a formal data model for version 1.6 of the CF (Climate and Forecast) metadata conventions that provide a description of the physical meaning of geoscientific data and their spatial and temporal properties. We describe the CF conventions and how they lead to our CF data model, and compare it other data models for storing data and metadata. We present cf-python version 2.1: a software implementation of the CF data model capable of manipulating any CF-compliant dataset.