Visualization of oceanographic applications using a common data model

Jie Li, Zhao Peng Meng, Kang Zhang

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

3 Citations (Scopus)

Abstract

Due to the rapid development of ocean observation technology, the volume of ocean data is increasing exponent ially. To better utilize these data, more and more computational methods have been applied to exploring, sharing, and processing such data. Although great efforts have been made, there is an urgent need for a single platform containing a set of visualization components for every kind of ocean data. This paper presents a distributed, scalable and service-oriented visualization platform. The development of the platform is based on a common data model, by which ocean data with differents patial and temporal distribution can be organized and accessed in a uniform fashion, which sets a solid foundation for designing and implementing all kinds of visualization comp onents and facilit ates collaborative oceanographic research. The platform is run in China Ocean Observation System (COOS), and enables easy and convenient development of all kinds of visualization components for professionals and the general public and greatly advances ocean data sharing and scientific research collaboration.

Original languageEnglish
Title of host publicationProceedings of the 29th Annual ACM Symposium on Applied Computing, SAC 2014
PublisherAssociation for Computing Machinery
Pages933-938
Number of pages6
ISBN (Print)9781450324694
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event29th Annual ACM Symposium on Applied Computing, SAC 2014 - Gyeongju, Korea, Republic of
Duration: 24 Mar 201428 Mar 2014

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Conference

Conference29th Annual ACM Symposium on Applied Computing, SAC 2014
Country/TerritoryKorea, Republic of
CityGyeongju
Period24/03/1428/03/14

Keywords

  • Common data model
  • GIS
  • Information visualization
  • NetCDF
  • Ocean and oceanograp hy

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