Development of a Web Service for Analysis of the GeoGIPSAR Geoclimatic Data
Keywords:forecasting, geoclimatic data, monitoring, web service
The paper discusses the creation of a Web service for the information prognostic system GeoGIPSAR developed at the Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences (MESI SB RAS). It relies on the data from modern global climate models (such as NOAA, GPCC, etc.) to predict inflow in the reservoirs of the Angara-Yenisei hydropower plant cascade. The disadvantages of the GeoGIPSAR are its limited interface (mostly understandable only to specialists) and local mode, which does not involve working on the Internet. The Web service at issue is being currently developed to expand a range of the system users. A review of modern systems for working with global climate models is presented. The main GeoGIPSAR functions and data used for the analysis of geoclimatic indicators are considered. The requirements for the basic controls of the developed Web service are considered. The development technologies applied are described. The climate maps created by the system for the Lake Baikal basin are shown as examples.
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