The Climate-G testbed: towards large scale distributed data management for climate change | Zendy

Sandro Fiore | Zendy; Giovanni Aloisio | Zendy; Peter Fox | Zendy; M. Petitdidier | Zendy; Horst Schwichtenberg | Zendy; Sébastien Denvil | Zendy; Jon Blower | Zendy; A. S. Cofiño | Zendy

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The Climate-G testbed: towards large scale distributed data management for climate change

Author(s) -

Sandro Fiore,

Giovanni Aloisio,

Peter Fox,

M. Petitdidier,

Horst Schwichtenberg,

Sébastien Denvil,

Jon Blower,

A. S. Cofiño

Publication year - 2011

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2011.04.059

Subject(s) - testbed , computer science , metadata , climate change , scale (ratio) , field (mathematics) , data management , metadata management , data science , data sharing , visualization , database , world wide web , data mining , medicine , ecology , physics , alternative medicine , mathematics , pathology , quantum mechanics , pure mathematics , biology

Climate-G is a large scale distributed testbed devoted to climate change research. It is an unfunded effort started in 2008 and involving a wide community both in Europe and US. The testbed is an interdisciplinary effort involving partners from several institutions and joining expertise in the field of climate change and computational science. Its main goal is to allow scientists carrying out geographical and cross-institutional data discovery, access, analysis, visualization and sharing of climate data. It represents an attempt to address, in a real environment, challenging data and metadata management issues. This paper presents a complete overview about the Climate-G testbed highlighting the most important results that have been achieved since the beginning of this project

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