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Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system.

, , , , , , , , , , , , , , , , , , , , , and . IEEE BigData, page 2911-2918. IEEE Computer Society, (2016)

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Big data visual analytics for exploratory earth system simulation analysis., , , , , , , and . Comput. Geosci., (2013)Ophidia: Toward Big Data Analytics for eScience., , , , , and . ICCS, volume 18 of Procedia Computer Science, page 2376-2385. Elsevier, (2013)A Provenance-Based Infrastructure to Support the Life Cycle of Executable Papers., , , , , , , , , and 2 other author(s). ICCS, volume 4 of Procedia Computer Science, page 648-657. Elsevier, (2011)High-performance remote access to climate simulation data: a challenge problem for data grid technologies., , , , , , , , , and 2 other author(s). Parallel Comput., 29 (10): 1335-1356 (2003)The Earth System Grid: Supporting the Next Generation of Climate Modeling Research, , , , , , , , , and 10 other author(s). CoRR, (2007)Strategie roadmap for the earth system grid federation., , , , , , , , , and 1 other author(s). IEEE BigData, page 2182-2190. IEEE Computer Society, (2015)The Flexible Climate Data Analysis Tools (CDAT) for Multi-model Climate Simulation Data., , , and . ICDM Workshops, page 254-261. IEEE Computer Society, (2009)High-performance remote access to climate simulation data: a challenge problem for data grid technologies., , , , , , , , , and 1 other author(s). SC, page 46. ACM, (2001)A workflow-enabled big data analytics software stack for escience., , , , , , and . HPCS, page 545-552. IEEE, (2015)Designing a Provenance-Based Climate Data Analysis Application., , , , , , , , and . IPAW, volume 7525 of Lecture Notes in Computer Science, page 214-219. Springer, (2012)