Firefly
发表于 2025-3-25 04:16:15
,Data Discovery: Identifying, Searching and Finding Data,Data analysis, data inter-comparison and data assimilation are at the heart of any Earth system science workflow. Additionally, Earth system data are used in many interdisciplinary research activities and climate impact studies.
STYX
发表于 2025-3-25 08:39:46
,Collaborative Climate Community Data and Processing Grid—C3Grid: Workf lows for Data Selection, PreGrid technology can help scientists to overcome problems with the Data Deluge in climate research, as it facilitates large scale data sharing and reuse of data. Worldwide there are different initiatives to facilitate data handling for scientific work and to built up collaborational working environments with interinstitutional data access.
纹章
发表于 2025-3-25 12:17:48
Future Perspectives,ave a lasting influence on the every-day-life of the single researcher, it seems to be out of question that even more and harder, joint efforts of the community are necessary to cope with the big data problem mentioned above.
flex336
发表于 2025-3-25 16:22:09
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Anhydrous
发表于 2025-3-25 21:52:39
https://doi.org/10.1007/978-3-642-37244-5Climate Data Archives; Data Access at Single Focal Point (Portal); Distributed Storage; Homogeneous Met
AMOR
发表于 2025-3-26 04:11:41
Earth System Modelling - Volume 6978-3-642-37244-5Series ISSN 2191-589X Series E-ISSN 2191-5903
Libido
发表于 2025-3-26 05:22:37
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quiet-sleep
发表于 2025-3-26 12:03:29
Distributed Archives, Databases and Data Portals: The Scene,ry 3 years the amount of archived data doubles. The scientists counted two to three Exabyte in 1999 and five Exabyte in 2002. Data volumes in specific disciplines are much smaller than in others but the increase of annual production rates is comparable. In connection with the Fourth Assessment Repor
cogent
发表于 2025-3-26 15:35:35
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labile
发表于 2025-3-26 18:32:54
Earth System Grid Federation: Federated and Integrated Climate Data from Multiple Sources,future heterogeneous climate data will be distributed around the globe and must be harnessed to find solutions to mission-critical problems. Additionally, more requirements and more constraints are needed to expand and integrate new modeling capabilities and tasks, such as climate prediction, uncert