Research on Building Temporal-spatial Data Warehouse of Marine Environmental Data Products

摘要：

the marine environmental data has a strong temporalspatial characteristic. The ocean is always changing. In terms of time scale, marine environmental information is characterized by its climatology-scale variation features (i.e. year, season) and weatherscale variation features (i.e. day, hour). The multitime scale and time-varying characteristics of marine environmental data products bring foreword higher requirements for data storage and visualization. In this paper, we use temporal-spatial data warehouse in marine environment data products management The marine environmental elements in the data warehouse includes: seawater level, temperature, salinity, sea flow data field, surface wind field, pressure field, storm surge, typhoon, tide and tidal current The type of data products includes: reanalysis, live-analysis, forecast and statistical data, the total data amount is up to TB level. By record valid time, loading time and existing time, the data warehouse management service can control the data version, and update data warehouse dynamically. The temporal-spatial process of marine elements and phenomenon are expressed through dynamically visualization of a series data.

关键词： marine environment temporal-spatial Data Warehouse multi-dimensional data model

作者: Jian Liu Xin Zhang Tianhe Chi

作者单位: Institute of Remote Sensing Applications Chinese Academy of Sciences,Box.9718,Datun Road,Beijing,Chi Institute of Remote Sensing Applications Chinese Academy of Sciences,Box.9718,Datun Road,Beijing,Chi

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 348-352

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）