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  Long-term Archiving of Climate Model Data at WDC Climate and DKRZ

Lautenschlager, M., & Stahl, W. (2007). Long-term Archiving of Climate Model Data at WDC Climate and DKRZ. In E. Mikusch (Ed.), PV2007 - Ensuring the long-term preservation and value adding to scientific. Oberpfaffenhofen: DLR, German Remote Sensing Data Center.

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Lautenschlager_Proc07.pdf (Verlagsversion), 3MB
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 Urheber:
Lautenschlager, M.1, Autor           
Stahl, W., Autor
Affiliations:
1Model & Data Group, MPI for Meteorology, Max Planck Society, ou_913549              

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Schlagwörter: climate model data, long-term archiving, data preservation, quality assurance, usability
 Zusammenfassung: The computing capabilities for production of Earth system model data are growing faster than the prices for mass storage media sink. If the archive philosophy left unchanged during the migration to the next compute server generation consequently the amount of money for long-term archiving rises and the total amount of money for archiving tends to exceed the money which is left for compute services. At WDCC (World Data Center Climate) and DKRZ (German Climate Computing Centre) a new concept for long-term archiving has been developed which addresses this problem and improves the overall confidence in the long-term archive. The new archive concept separates data storage with expiration date at the scientific project level and the documented long-term archive. The transition process to the new archive concept already started and at the end we expect to have a completely documented long-term archive with a searchable data catalogue. This archive concept is supported by a four level storage hierarchy which reflects the lifetimes of the different data categories

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Sprache(n): eng - English
 Datum: 2007
 Publikationsstatus: Erschienen
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 Identifikatoren: eDoc: 385351
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Titel: PV2007 - Ensuring the long-term preservation and value adding to scientific and technical
Veranstaltungsort: Oberpfaffenhofen
Start-/Enddatum: 2007

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Titel: PV2007 - Ensuring the long-term preservation and value adding to scientific
Genre der Quelle: Konferenzband
 Urheber:
Mikusch, E., Herausgeber
Affiliations:
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Ort, Verlag, Ausgabe: Oberpfaffenhofen : DLR, German Remote Sensing Data Center
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