Monitoring and accumulation of data in the GeoGIPSAR information-forecasting system

Victor S. Gasan, Nikolai V. Abasov, Evgeny N. Osipchuk

Melentiev Energy Systems Institute (MESI) SB RAS

The article discusses the source data, their structure and processing methods used in GeoGIPSAR information-forecasting system, which was developed at the Melentiev Energy Systems Institute (MESI) of SB RAS and continues to develop. It successfully user data from modern global climate model (such as NOAA, HPCC, etc.) to predict inflow at the large reservoirs and lakes with an assessment of their level modes. The article describes the structures and types of indicators of global climate models used in practice when forecasting runoff in river basins. The main steps for data collection, processing and analysis are considered. The results of the system operation using the developed map visualizer are demonstrated. It is noted that it is necessary to conduct research on forecasting a useful inflow for effective management of the level regime of Lake Baikal. On the results of the work carried out, it is planned to expand the system with the inclusion of a web interface for the analysis and formation of forecast indicators.

global climate models, reanalysis, monitoring, information-forecasting system