A high performance query analytical framework for supporting data-intensive climate studies

Climate observations and model simulations produce vast amounts of data. The unprecedented data volume and the complexity of geospatial statistics and analysis requires efficient analysis of big climate data to investigate global problems such as climate change, natural disasters, diseases, and othe...

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Veröffentlicht in:	Computers, environment and urban systems Jg. 62; S. 210 - 221
Hauptverfasser:	Li, Zhenlong, Huang, Qunying, Carbone, Gregory J., Hu, Fei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.03.2017 Elsevier Science Ltd
Schlagworte:	Big Data Climate Climate analysis Cloud computing Collaborative virtual environments Complexity Computer simulation Cyberinfrastructure Engine blocks Feasibility studies Global information infrastructure Hive Infrastructure Natural disasters Parallel processing Queries Query analytics Query languages Structured Query Language-SQL Transformations Climate analysis Cloud computing Hive Big data Query analytics Cyberinfrastructure
ISSN:	0198-9715, 1873-7587
Online-Zugang:	Volltext
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