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The CF (Climate and Forecast) metadata conventions are designed to promotethe creation, processing, and sharing of climate and forecasting data usingNetwork Common Data Form (netCDF) files and libraries. The CF conventionsprovide a description of the physical meaning of data and of their spatialand temporal properties, but they depend on the netCDF file encoding whichcan currently only be fully understood and interpreted by someone familiarwith the rules and relationships specified in the conventions documentation.To aid in development of CF-compliant software and to capture with a minimalset of elements all of the information contained in the CF conventions, wepropose a formal data model for CF which is independent of netCDF anddescribes all possible CF-compliant data. Because such data will often beanalysed and visualised using software based on other data models, we compareour CF data model with the ISO 19123 coverage model, the Open GeospatialConsortium CF netCDF standard, and the Unidata Common Data Model. Todemonstrate that this CF data model can in fact be implemented, we presentcf-python, a Python software library that conforms to the model and canmanipulate any CF-compliant dataset

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