Temporal-spatial association analysis of ocean salinity and temperature variations

Ocean circulation plays an important role in global climate change. In an effort to monitor ocean circulation an infrastructure of more than 3,000 buoys have been deployed in the open water to measure ocean salinity and temperature variations. Some of these data are made freely available by Argo. The focus of this study is extracting previously unknown patterns of abnormal ocean salinity and temperature variations from Argo data that can be further applied to predict ocean current variations. First, Argo data are converted to market-basket type data that are used to find temporal-spatial association rules. The discovered rules reveal the associations of abnormal ocean salinity and temperature variations. Next, the discovered temporal and spatial variation patterns are used to predict future ocean salinity and temperature variations surrounding Taiwan. A 3-D visualization model is developed to present a) the interactions between events at different dates, concentric circles and ocean d...

• Type: Conference
• Year: 2009
• Where: INTERACTION
• Authors: Yo-Ping Huang, Jung-Shian Jau, Frode Eika Sandnes
• Keywords: Information Technology, INTERACTION 2009, Ocean, Ocean Salinity, Temperature Variations