cfdm: a Python reference implementation of the CF data model

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Hassell, D. ORCID: https://orcid.org/0000-0001-5106-7502 and Bartholomew, S. L. ORCID: https://orcid.org/0000-0002-6180-3603 (2020) cfdm: a Python reference implementation of the CF data model. Journal of Open Source Software, 5 (54). 2717. ISSN 2475-9066 doi: 10.21105/joss.02717

Abstract/Summary

The cfdm open-source Python library implements the data model of the CF (Climate and Forecast) metadata conventions and so should be able to represent and manipulate all existing and conceivable CF-compliant datasets.The CF conventions are designed to promote the creation, processing, and sharing of climate and forecasting data using Network Common Data Form (netCDF) files and libraries. They cater for data from model simulations as well as from observations, made in situ or by remote sensing platforms, of the planetary surface, ocean, and atmosphere. For a netCDF data variable, they provide a description of the physical meaning of data and of its spatial, temporal, and other dimensional properties. The CF data model is an abstract interpretation of the CF conventions that is independent of the netCDF encoding.The cfdm library has been designed as a stand-alone application, e.g. as deployed in the pre-publication checks for the CMIP6 data request, and also to provide a CF data model implementation to other software libraries, such as cf-python.

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Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/97992
Identification Number/DOI	10.21105/joss.02717
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > NCAS Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	The Open Journal
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Date Deposited:	18 May 2021 13:51	Date item deposited into CentAUR
Last Modified:	23 Mar 2025 01:26	Date item last modified

References

* Eaton, B., Gregory, J., Drach, B., Taylor, K., Hankin, S., Caron, J., Signell, R., et al.(2020, February). NetCDF Climate and Forecast (CF) Metadata Conventions v1.8. CF Conventions Committee. Retrieved fromhttp://cfconventions.org/Data/cf-conventions/cf-conventions-1.8/cf-conventions.html * Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., & Taylor, K.E. (2016). Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6)experimental design and organization. Geoscientific Model Development, 9(5), 1937–1958. doi:10.5194/gmd-9-1937-2016 * Gamma, E., Helm, R., Johnson, R., & Vlissides, J. (1995).Design Patterns: Elements of Reusable Object-Oriented Software. USA: Addison-Wesley Longman Publishing Co., Inc. ISBN:0201633612 * Hassell, D., & Bartholomew, S. L. (2020).cfdm: A Python reference implementation of the CF data model. Zenodo. doi:10.5281/zenodo.4075077 * Hassell, D., & Gregory, J. (2020). cf-python: A CF-compliant Earth Science data analysis library. Zenodo. doi:10.5281/zenodo.832255 * Hassell, D., Gregory, J., Blower, J., Lawrence, B. N., & Taylor, K. E. (2017). A data model of the Climate and Forecast metadata conventions (CF-1.6) with a software implementation(cf-python v2.1). Geoscientific Model Development,10(12), 4619–4646. doi:10.5194/gmd-10-4619-2017 * International Standards Organisation. (2004). ISO 19125: Geographic Information – Simple feature access – Part 1: Common architecture. Geneva: ISO. * Juckes, M., Taylor, K. E., Durack, P. J., Lawrence, B., Mizielinski, M. S., Pamment, A.,Peterschmitt, J.-Y., et al. (2020). The CMIP6 Data Request (DREQ, version 01.00.31). Geoscientific Model Development, 13(1), 201–224. doi:10.5194/gmd-13-201-2020 * Rew, R., & Davis, G. (1990). NetCDF: An Interface for Scientific Data Access.IEEE Computer Graphics and Applications,10(4), 76–82. doi:10.1109/38.56302 * Rew, R., Hartnett, E., & Caron, J. (2006). NetCDF-4: Software Implementing an Enhanced Data Model for the Geosciences. In22nd International Conference on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology. AMS. Retrieved from https://www.unidata.ucar.edu/software/netcdf/papers/2006-ams.pdf

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