[M-IS01] ENVIRONMENTAL, SOCIO-ECONOMIC, AND CLIMATIC CHANGES IN NORTHERN EURASIA

[MIS01-P15] State of the art of the Web-GIS CLIMATE platform to study Siberia climate change and its consequences

*Evgeny Gordov^1,2, Alexander Titov^1,2, Igor Okladnikov¹, Anna Ryazanova¹, Yulia Gordova¹ (1.Institute of Monitoring of Climatic and Ecological Systems SB RAS, 2.Federal Research Center for Information and Computational Technologies)

Keywords:Information-computational infrastructure, Web-GIS, Siberia climate change, climate indices, adaptation

The current state of a created distributed tools for the analysis of large arrays of regional climate data forming the web-GIS platform CLIMATE (climate.scert.ru) is briefly described. The platform for analyzing regional climate and environmental changes in Siberia provides access to resources to four categories of users. It provides full access to quantitative monitoring tools of regional climate characteristics based on spatial data services in the Climate analysis section to registered by request users. Access to limited functionality is provided by default. In the open Educational resources section undergraduate and graduate students have access to a course and practical tasks, the main purpose of which is a comprehensive analysis of current climate changes and their possible consequences. The open section General public contains a basic information course on climate change. The course outlines and popularly illustrates the basic concepts and problems of modern climate changes and their possible consequences. The open section Climatic characteristics and adaptation offers to regional stakeholders and decision makers ready-made data packages on key characteristics and extreme climate manifestations in various formats for downloading and further working with them in desktop GIS. In particular, the library Characteristics of climate change presents the calculated fields of anomalies of meteorological characteristics, climatic indices and various hydrothermal coefficients obtained using the web-GIS CLIMATE. Characteristics are calculated for Southern Siberia. Also, their linear trends for the specified time periods are given.The open section Climatic characteristics and adaptation offers to regional stakeholders and decision makers ready-made data packages on key characteristics and extreme climate manifestations in various formats for downloading and further working with them in desktop GIS. In particular, the library Characteristics of climate change presents the calculated fields of anomalies of meteorological characteristics, climatic indices and various hydrothermal coefficients obtained using the web-GIS CLIMATE. Characteristics are calculated for Southern Siberia. Also, their linear trends for the specified time periods are given. Presented are digital maps of Anomalies of meteorological characteristics, Climate Indices, Hydrothermal coefficients, and Climate Vulnerability Index. These characteristics will help to understand how the extremes of temperature and precipitation change from year to year in Siberia. The climatic characteristics of the modern period are calculated on the base of the reanalysis Era5 data. Characteristics for the future period are calculated on the base of high spatial resolution data (50 km) CMIP6 project data for the period from 2015 to 2050 years and high spatial resolution data (25 km) from the CORDEX project for Central Asia according to the RCP 8.5 scenario for the period from 2006 to 2100 years. If there is a need for further work with any index, it is possible to download files with calculated indices in various formats (netCDF, GeoTiff, WMS and WFS). Working with GeoTiff files, as well as with WMS and WFS links is possible in various desktop GIS systems (QGIS, ArcGis, PostGIS, etc.). The archive of all calculated fields, which comprises anomalies (air temperature and precipitation), indices of droughts, WMO climate indices, and characteristics for adaptation, is available at the Climate characteristics archive section.
This work is supported by the RAS basic research program projects FWNW-2021-0006 and FWRG-2021-0004