πŸ“ž +91-7667918914 | βœ‰οΈ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 12, DECEMBER 2017

In Situ Data Assessment: An Offline Tool for viewing Argo Data and Data Products

Vighneshwar S P, Keerthi Lingam, Mercy Monica Marisarla

DOI: 10.17148/IJARCCE.2017.61204

Abstract: In this paper, we focus on implementation of research, and the efficient management of resulting Indian ocean data. Data management and integration consider the careful collection, management and dissemination of research data is taken to provide vast ocean information integration. In order to develop robust ocean information system, the data from in-situ ocean observing systems such as Argo floats, drifting buoys, moored buoys, XBT surveys, tide gauges, coastal radars, current meter mooring array, bottom pressure recorders has been considered to design by implementing data acquisition, processing, quality control, and database generation. The diverse data sets has been acquired from in-situ platforms needs to be quality controlled, organized and disseminated in real time to data users. This paper on ODIS provides ocean data management and web-based ocean information system and its visualization functions for oceanographic data. An integrated observing system will also require improved combination of data from in-situ platforms which observations depends on their parameters and data types.



Keywords: Heterogeneous data, Oceanography, Visualization, Data Management, Integration, Argo Data products.

How to Cite:

[1] Vighneshwar S P, Keerthi Lingam, Mercy Monica Marisarla, β€œIn Situ Data Assessment: An Offline Tool for viewing Argo Data and Data Products,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.61204