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Persistent URL http://purl.org/net/epubs/work/30231
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Record Id 30231
Title DAMP - The Data Management in Climate Research Project
Abstract To address the identified environmental research challenges, researchers need access to a wide range of observational data and model output, covering the human, physio-chemical and biological components of the Earth system. This data should be recognised as a highly valuable resource, but data from existing data centres are frequently under-used because of the difficulties of accessing the data and of assessing whether they contain anything of interest or relevance. Furthermore data exploration is still in its early stages. The complexity of the phenomena and processes involved in climate research, make powerful super-computing essential. Today's parallel models are some of the most demanding codes we have. They push the machines available to their limit and are still in need of more resources. However the bottleneck in running these codes is not so much the code performance as the data handling strategies employed. The seriousness of the problem is increasing rapidly, as new computer and observation technologies encourage the production of more data in shorter time spans. For an efficient working environment, mechanisms have to be put in place to support scientific work more effectively. In response, CLRC - Daresbury Laboratory has set up a new project to investigate this important issue and to develop new more satisfying strategies.
Organisation CCLRC , ESC , ESC-DMG
Keywords Data Management , HPC , Climate Research
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Language English (EN)
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Book Chapter or Section In Towards Teracomputing p.291-300 . Edited by Walter Zwiefelhofer, Norbert Kreitz , 291-300. Reading, UK,: World Scientific, (November 1999), 1999. 1999