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Helmholtz Metadata Guidelines for NetCDF
In the Helmholtz Association’s Research Field Earth & Environment, the standardized structuring and description of NetCDF files is a central building block for effective data exchange and sustainable reuse. These guidelines are aimed at all scientists who generate, process or share NetCDF data and provide concrete recommendations for the harmonized use of metadata.
The Helmholtz Metadata Guideline for NetCDF (HMG NetCDF) initiative aims to apply existing standards such as CF and ACDD consistently and across domains. This enables seamless integration of data into portals, repositories and analysis workflows.
The recommendations presented here promote the implementation of the FAIR principles (Findable, Accessible, Interoperable, Reusable) according to Wilkinson et al. (2016)[1] and contribute to improved findability, interoperability and reusability of geoscience data.
What you can expect:
Standardized specifications for global attributes, variable names and file structure
Clear mapping of metadata to variables
Alignment with established standards and controlled vocabularies
Tools for machine-readable validation and user-friendly implementation
You need an introduction about NetCDF?
How to use these Guidelines?
These guidelines help you create publishable, CF-compliant NetCDF datasets. They provide:
Best practices for structuring your metadata in your NetCDF files,
Recommendations for naming conventions, units, and attributes,
Guidance on meeting Convention conformance requirements for interoperability.
If you need it from scratch, start with the Basics:
Understand NetCDF structure and CF conventions, checkout the intro chapter.
Validate Your Files: Use CF compliance checkers to ensure your dataset meets the standards (chapter is coming soon).
Iterate and Improve: Apply examples provided in the guidelines, checkout the examples.
Get involved: with your Feedback or your super power
These guidelines are part of a collaborative, continuously evolving process within the Helmholtz Association. Your contribution is welcome! Send your suggestions and feedback for improvements directly into our issue board via email.
Learn more about us
To learn more about the HMG NetCDF initiative, which is currently developing and refining the guidelines, please check here.
You find the source code of this documentation publicly available on our gitlab codebase.
General File Specifications
Global attributes in alphabetical order
Variables
Examples
Codebase repository
Stay tuned for updates and discuss with us at https://codebase.helmholtz.cloud/helmholtz-metadata-guidelines/hmg-netcdf-guidelines/hmg-netcdf-en.
How to cite this document
Saß B.L., Fösig R., Barthlott S., Getzlaff K., Geyer B., Haßler S.K., Kerzenmacher T., Kottmeier D., Lemmen C., Loewe K., Lorenz C., Loup U., Meyer E.M.I., Möller L., Obersteiner F., Pörsch A., Rebmann C., Riße M., Schäfer A., Sommer P.S., Söding E. (2026). Helmholtz Metadata Guidelines for NetCDF (version v1.0.0). DOI: 10.5281/zenodo.19691977 URL: https://codebase.helmholtz.cloud/helmholtz-metadata-guidelines/hmg-netcdf-guidelines/hmg-netcdf-en
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doi = {10.5281/zenodo.19691977},
month = {4},
title = {Helmholtz Metadata Guidelines for NetCDF},
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year = {2026}
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AU - Fösig, Romy
AU - Barthlott, Sabine
AU - Getzlaff, Klaus
AU - Geyer, Beate
AU - Haßler, Sibylle K.
AU - Kerzenmacher, Tobias
AU - Kottmeier, Dorothee
AU - Lemmen, Carsten
AU - Loewe, Katharina
AU - Lorenz, Christof
AU - Loup, Ulrich
AU - Meyer, Elke M. I.
AU - Möller, Lars
AU - Obersteiner, Florian
AU - Pörsch, Andrea
AU - Rebmann, Corinna
AU - Riße, Matthias
AU - Schäfer, Angela
AU - Sommer, Philipp S.
AU - Söding, Emanuel
DA - 2026-04-22
DO - 10.5281/zenodo.19691977
PY - 2026
TI - Helmholtz Metadata Guidelines for NetCDF
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%A Pörsch, Andrea
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title: Helmholtz Metadata Guidelines for NetCDF
abstract: "Helmholtz Metadata Guidelines for NetCDF: This initiative aims to develop harmonized data handling guidelines for NetCDF to unify the diverse sub-communities within both observational and modeling fields, building towards a unified and consistent infrastructure for environmental research data."
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identifiers:
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type: doi
value: 10.5281/zenodo.19691977
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