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| Titel |
Quality assessment concept of the World Data Center for Climate and its application to CMIP5 data |
| VerfasserIn |
M. Stockhause, H. Höck, F. Toussaint, M. Lautenschlager |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 5, no. 4 ; Nr. 5, no. 4 (2012-08-13), S.1023-1032 |
| Datensatznummer |
250002770
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| Publikation (Nr.) |
 copernicus.org/gmd-5-1023-2012.pdf |
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| Zusammenfassung |
| The preservation of data in a high state of quality which is suitable for
interdisciplinary use is one of the most pressing and challenging current
issues in long-term archiving. For high volume data such as climate model
data, the data and data replica are no longer stored centrally but
distributed over several local data repositories, e.g. the data of the
Climate Model Intercomparison Project Phase 5 (CMIP5). The most important
part of the data is to be archived, assigned a DOI, and published according
to the World Data Center for Climate's (WDCC) application of the DataCite
regulations. The integrated part of WDCC's data publication process, the data
quality assessment, was adapted to the requirements of a federated data
infrastructure. A concept of a distributed and federated quality assessment
procedure was developed, in which the workload and responsibility for
quality control is shared between the three primary CMIP5 data centers:
Program for Climate Model Diagnosis and Intercomparison (PCMDI), British
Atmospheric Data Centre (BADC), and WDCC. This distributed quality control
concept, its pilot implementation for CMIP5, and first experiences are
presented. The distributed quality control approach is capable of identifying
data inconsistencies and to make quality results immediately available for
data creators, data users and data infrastructure managers. Continuous
publication of new data versions and slow data replication prevents the
quality control from check completion. This together with ongoing
developments of the data and metadata infrastructure requires adaptations in
code and concept of the distributed quality control approach. |
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