Author_Institution :
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The marine environmental data has a strong temporal-spatial 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 weather-scale variation features (i.e. day, hour). The multi-time 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.
Keywords :
data warehouses; environmental factors; marine systems; temporal databases; visual databases; climatology-scale variation feature; data storage; data warehouse management service; marine environment data product management; marine environmental element; marine environmental information; multitime scale characteristics; pressure field; salinity; sea flow data field; seawater level; series data visualization; statistical data; storm surge; surface wind field; temperature; temporal-spatial data warehouse; tidal current; tide; time-varying characteristics; typhoon; weather-scale variation feature; Data visualization; Data warehouses; Environmental management; Memory; Ocean temperature; Sea surface; Storms; Surges; Tides; Typhoons; marine environment; multi-dimensional data model; temporal-spatial Data Warehouse;
