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

摘要

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.