CODC-pyParaQC: A design and implementation of parallel quality control for ocean observation big data

High-quality ocean observation is essential for research and applications in ocean exploration and climate change. With moving into the era of big data in recent years, it becomes crucial to process these massive raw observations accurately and efficiently. This paper addressed issues encountered in...

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Bibliographic Details

Published in:	Proceedings of the ... International Symposium on Parallel and Distributed Processing with Applications (Print) pp. 1863 - 1870
Main Authors:	Yuan, Huifeng, Li, Tianyan, Jin, Zhong, Cheng, Lijing, Tan, Zhetao, Zhang, Bin, Wang, Yanjun
Format:	Conference Proceeding
Language:	English
Published:	IEEE 30.10.2024
Subjects:	Big Data Climate change Computational efficiency Control systems Database systems Observers ocean observation Ocean temperature Oceanography Oceans parallel computation Process control Quality control Real-time systems Supercomputers
ISSN:	2158-9208
Online Access:	Get full text
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