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  • Berlin, Heidelberg :Springer Berlin / Heidelberg,  (1)
  • Kiel : Inst. für Meereskunde an d. Univ., Abt. Theoret. Ozeanographie  (1)
  • Max Planck Digital Library/German e-Science Conference  (1)
  • 1
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin / Heidelberg,
    Keywords: Dynamic climatology -- Mathematical models. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (97 pages)
    Edition: 1st ed.
    ISBN: 9783642372445
    Series Statement: SpringerBriefs in Earth System Sciences Series
    DDC: 550
    Language: English
    Note: Intro -- Preface -- Contents -- Contributors -- 1 ESM Data Archives in Times of the Grid -- Reference -- 2 Distributed Archives, Databases and Data Portals: The Scene -- References -- 3 Harvesting of Metadata with Open Access Tools -- 3.1 Background and Motivation -- 3.2 The Metadata Portal Framework ``panFMP'' -- 3.3 Adoption of the Framework in C3Grid -- 3.4 Conclusion -- References -- 4 Data Discovery: Identifying, Searching and Finding Data -- 4.1 Overview and Definition of Terminology -- 4.2 ESM Data Discovery Challenges -- 4.2.1 Data Product Granularity and Aggregation -- 4.2.2 Data Provenance and Scientific Context -- 4.2.3 Data Lifetime and Quality -- 4.2.4 Data Volume and Data Distribution -- 4.2.5 Interdisciplinarity and Heterogeneity of Data Discovery Use Cases -- 4.2.6 Search Scalability and Flexibility -- 4.3 Generic Data Discovery Architecture -- 4.4 Implementation Standards -- 4.4.1 Metadata Standards and Initiative: -- 4.4.2 Metadata Exchange and Discovery Protocol Standard -- 4.4.3 Standardization of Registries -- 4.5 Data Discovery Architectures in the Times of the Grid -- 4.5.1 NERC Data Grid -- 4.5.2 C3Grid -- 4.5.3 Earth System Grid (ESG) -- 4.5.4 The European Distributed ESM Data Archive -- 4.6 Summary -- References -- 5 User Driven Data Access Mechanisms -- 5.1 Existing Data Access Solutions in ESM -- 5.2 Technical Solutions for Data Access -- 5.3 Aspects of Local Implementations -- 5.4 Future Developments -- 5.5 Conclusions -- References -- 6 Collaborative Climate Community Data and Processing Grid---C3Grid: Workflows for Data Selection, Pre- and Post-Processing in a Distributed Environment -- 6.1 General Remarks -- 6.2 Architecture and Middleware Components -- 6.2.1 C3Grid Portal -- 6.2.2 Data Information Service and Metadata -- 6.2.3 Collaborative Workspace and Data Management Service. , 6.2.4 Workflow Scheduling Service -- 6.2.5 Provider Layer: Data Archive and Compute Resources -- 6.3 Workflows -- 6.4 Status and Perspectives -- References -- 7 Earth System Grid Federation: Federated and Integrated Climate Data from Multiple Sources -- 7.1 Background -- 7.2 Science Drivers -- 7.2.1 Typical ESGF Facility: PCMDI LLNL -- 7.2.2 Enhancing the Process of Science -- 7.3 Data Quality and Publishing in an International Setting -- 7.4 Data Intensive Climate Science -- 7.5 Data, Workflow, Middleware Tools, and Services -- 7.6 Outstanding Issues -- 7.7 Summary -- 8 Future Perspectives -- Glossary -- Index.
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  • 2
    Book
    Book
    Kiel : Inst. für Meereskunde an d. Univ., Abt. Theoret. Ozeanographie
    Type of Medium: Book
    Pages: 78 S , graph. Darst , 29 cm
    Series Statement: Berichte aus dem Institut für Meereskunde an der Christian-Albrechts-Universität Kiel 116
    Language: English , German
    Note: Mit dt. Zsfssg
    Location Call Number Limitation Availability
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  • 3
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    Max Planck Digital Library/German e-Science Conference
    In:  EPIC3German eScience Conference, Baden-Baden, 2007-05-02-2007-05-04Max Planck Digital Library/German e-Science Conference
    Publication Date: 2019-07-17
    Description: The project „Collaborative Climate Community Data and Processing Grid – C3Grid“ is one of the community projects in D-Grid (sponsored by German government BMBF) and aims at linking distributed data archives in several German institutions. The fundamental architecture is discussed, which includes C3Grid specific components beside the standard middleware. The implemented infrastructure for scientists in climate research provides tools for effective data discovery, data transfer and processing.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
    Format: application/pdf
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