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The AtMoDat project

Welcome to the website of the AtMoDat project!

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     AtMoDat stands for: 
     Atmospheric Model Data:
     Data Quality, Curation Criteria and DOI-Branding

AtMoDat is funded by the German Federal Ministry for Education and Research (BMBF) under the title: "Atmosphären-Modelldaten: Datenqualität, Kurationskriterien und DOI-Branding". 

Project Aim

Atmospheric Models are a relevant element of Climate Research. Access to this data is not only of interest to a wide scientific community but also to public services, companies, politicians and citizens. One way to make the data available is to publish them via a data repository. To ensure that datasets in a repository are indeed Findable, Accessible, Interoperable, and Reusable (i.e.FAIR[1]), it is essential that the data are stored together with detailed metadata and that the file structure and metadata follow an established standard. Furthermore, datasets are easier to find when the corresponding metadata is machine-readable and uses a standardised vocabulary.

While data standardization is well established in large, internationally coordinated model intercomparison projects (e.g. for climate models in CMIP[2]), joint standards are still lacking in many atmospheric modelling sub-disciplines, such as e.g. urban climate or cloud-resolving modelling.

The AtMoDat project, led by a team of atmospheric scientists and infrastructure providers, aims to improve the overall FAIRness of atmospheric model data and thus promote their re-use. Within the project, the ATMODAT standard has been developed which includes precise recommendations to achieve enhanced FAIRness of atmospheric model data in repositories. A prerequisite of this standard is that the data are published with a DataCite[3] DOI. The ATMODAT standard specifies requirements for rich metadata with controlled vocabularies, structured landing pages (human- and machine-readable), and the format and structure of the data files.

The ATMODAT standard is easy to implement and provides checklists for data curators and data producers. In addition, to facilitate the compliance check with the ATMODAT standard, the atmodat data checker has been developed. A dataset that complies with this standard will follow the FAIR principles and its metadata will be of high quality. If this compliance has been verified by the respective repository, the dataset can be labelled with the Earth System Data Branding (EASYDAB). This branding makes it easy for users to verify that the data are properly curated and the metadata have been quality assured.

Assigning DataCite DOIs and metadata to datasets are the first steps to meet the FAIR principles. Currently, however, the DataCite Metadata Schema does not provide an explicit property to store (or link to) information on data maturity. This information can comprise e.g. the results of various quality control checks that have been performed upon the data and/or metadata prior to their publication. Within the AtMoDat project, we have recently proposed an extension to the DataCite metadata schema. The extension consists of a new Data Maturity Indicator property that would allow placing the results of data maturity checks in the DataCite Metadata in a standardised format. 

[1] Wilkinson et al., 2016: 
[2] Juckes et al., 2020:


Project Partners


The German Climate Computing Center
(Deutsches Klimarechenze
ntrum, DKRZ) is a central service center for German simulation-based climate and earth system research. DKRZ provides computing power
on high performance computers and technical support for models and simulations.  DKRZ also offers services for long-term archiving of research datasets in their "Core Trust Seal"
and World Data System certified data repository. 
DKRZ hosts the Long Term Archive
"World Data Center for Climate" (LTA - WDCC), whose mission is to preserve, curate and publish climate model output in a quality controlled and FAIR manner.   [Read more …]


The Leibniz Information Centre for Science and Technology University Library (Technische Informationsbibliothek, TIB) is the German National Library of Science and Technology covering the fields of architecture, chemistry, computer science, mathematics, and physics. Beyond preserving printed documents, the TIB is engaged in providing and developing digital services for the scientific community. In this context, the TIB promotes Open Access and was a co-founder of DataCite e.V. [Read more …]  

UHHThe Meteorological Institute of the University of Hamburg (MI UHH) develops local and global scale meteorological models, operates one of largest and most modern boundary layer wind tunnels in Europe, and offers one of the few meteorology degree programs in Germany. The working groups "Mesoscale and Microscale Modelling" and "Environmental Wind Tunnel Laboratory" of the MI participate in AtMoDat. They develop urban climate models and do practical research in the wind tunnel, respectively. [Read more …]


The research group Clouds and Global Climate of Institute for Meteorology of the University of Leipzig does cloud and precipitation modeling on regional and global scale. The group is involved in several model intercomparison projects (MIPs) and leads two of them. [Read more …]

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Funded by

BMBF Gross Crop

within the framework of "Forschungsvorhaben zur Entwicklung und Erpro-bung von Kurationskrite-rien und Qualitätsstan-dards von Forschungs-daten".

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