EGU General Assembly 2020
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

AtMoDat: Improving the reusability of ATmospheric MOdel DATa with DataCite DOIs paving the path towards FAIR data

Daniel Neumann1, Anette Ganske2, Vivien Voss3, Angelina Kraft2, Heinke Höck1, Karsten Peters1, Johannes Quaas4, Heinke Schluenzen3, and Hannes Thiemann1
Daniel Neumann et al.
  • 1Deutsches Klimarechenzentrum (DKRZ), Data Management, Bundesstr. 45a, Hamburg, Germany (
  • 2Technische Informationsbibliothek (TIB), Welfengarten 1 B, 30167 Hannover, Germany
  • 3University of Hamburg, Meteorological Institute, Bundesstr. 55, 20146 Hamburg, Germany
  • 4University of Leipzig, Leipzig Institute for Meteorology, Stephanstr. 3, 04103 Leipzig, Germany

The generation of high quality research data is expensive. The FAIR principles were established to foster the reuse of such data for the benefit of the scientific community and beyond. Publishing research data with metadata and DataCite DOIs in public repositories makes them findable and accessible (FA of FAIR). However, DOIs and basic metadata do not guarantee the data are actually reusable without discipline-specific knowledge: if data are saved in proprietary or undocumented file formats, if detailed discipline-specific metadata are missing and if quality information on the data and metadata are not provided. In this contribution, we present ongoing work in the AtMoDat project, -a consortium of atmospheric scientists and infrastructure providers, which aims on improving the reusability of atmospheric model data.
Consistent standards are necessary to simplify the reuse of research data. Although standardization of file structure and metadata is well established for some subdomains of the earth system modeling community – e.g. CMIP –, several other subdomains are lacking such standardization. Hence, scientists from the Universities of Hamburg and Leipzig and infrastructure operators cooperate in the AtMoDat project in order to advance standardization for model output files in specific subdomains of the atmospheric modeling community. Starting from the demanding CMIP6 standard, the aim is to establish an easy-to-use standard that is at least compliant with the Climate and Forecast (CF) conventions. In parallel, an existing netCDF file convention checker is extended to check for the new standards. This enhanced checker is designed to support the creation of compliant files and thus lower the hurdle for data producers to comply with the new standard. The transfer of this approach to further sub-disciplines of the earth system modeling community will be supported by a best-practice guide and other documentation. A showcase of a standard for the urban atmospheric modeling community will be presented in this session. The standard is based on CF Conventions and adapts several global attributes and controlled vocabularies from the well-established CMIP6 standard.
Additionally, the AtMoDat project aims on introducing a generic quality indicator into the DataCite metadata schema to foster further reuse of data. This quality indicator should require a discipline-specific implementation of a quality standard linked to the indicator. We will present the concept of the generic quality indicator in general and in the context of urban atmospheric modeling data. 

How to cite: Neumann, D., Ganske, A., Voss, V., Kraft, A., Höck, H., Peters, K., Quaas, J., Schluenzen, H., and Thiemann, H.: AtMoDat: Improving the reusability of ATmospheric MOdel DATa with DataCite DOIs paving the path towards FAIR data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8463,, 2020.

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Display material version 1 – uploaded on 01 May 2020
  • CC1: Comment on EGU2020-8463, Nancy Ritchey, 05 May 2020

     I like the idea of extending DataCite Metadata Schema to include data and data stewardship maturity information

    • AC1: Reply to CC1, Daniel Heydebreck, 05 May 2020

      Thanks for the positive feedback.

      Currently, we present this concept to different stakeholders and gather feedback. You are welcome to have a look at our current draft at GitHub and provide comments:

      We plan to have a webinar on the Data Maturity Indicator (the working title of the DataCite extension) the next month to present it to a broader audience.

  • CC2: Comment on EGU2020-8463, Graham Smith, 05 May 2020

    Hi Daniel - do you envisage the data maturity indicator as something that would be surfaced (or applied) at data repositories for example?