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Earth System Modelling - Volume 4 [electronic resource] : IO and Postprocessing / by V. Balaji, René Redler, Reinhard Budich.

By: Balaji, V [author.]Contributor(s): Redler, René [author.] | Budich, Reinhard [author.] | SpringerLink (Online service)Material type: TextTextSeries: SpringerBriefs in Earth System SciencesPublication details: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XIII, 58 p. 6 illus., 2 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642364648Subject(s): geography | Data transmission systems | earth sciences | Earth Sciences, general | Input/Output and Data CommunicationsDDC classification: 550 LOC classification: GB3-5030QE1-996.5Online resources: Click here to access online
Contents:
Input/Output and Post processing -- Parallel I/O Basics -- ESM I/O layers -- Data Storage -- Data Representation -- Data Analysis and Visualization -- Future Perspectives.
In: Springer eBooksSummary: Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science. The particular topic covered in this volume addresses the issue of data input/ouitput and post-processing in the context of Earth system modeling, with an emphasis on parallel I/O, storage management and analysis subsystems for very large scale data requirements.
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Input/Output and Post processing -- Parallel I/O Basics -- ESM I/O layers -- Data Storage -- Data Representation -- Data Analysis and Visualization -- Future Perspectives.

Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science. The particular topic covered in this volume addresses the issue of data input/ouitput and post-processing in the context of Earth system modeling, with an emphasis on parallel I/O, storage management and analysis subsystems for very large scale data requirements.

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