MAPPING CLIMATE CHANGE IN THE PERM REGION BASED ON OBSERVATIONS AND REANALYSIS DATA

Abstract

Mapping is an important method for studying ongoing climate change and its impacts, as it allows us to identify spatial patterns in observed processes and take them into account when developing adaptation measures. In the last decade, the availability of climate data, including those with high spatial and temporal resolution, has sharply increased. This study examines the use of various data sources, such as reanalyses, high-resolution products based on weather station data, long-term satellite observation archives and lightning detection networks data to map modern climate change at the regional scale, on the example of the Perm region. A series of maps (more than 40 maps) of climatic variables has been developed, which will form the basis for an atlas of climate change and climate hazards in the Ural Kama region. The resulting maps characterize the frequency of various weather events, average long-term climate indicators, the frequency of climate extremes, trends in mean and extreme values of climate variables, and the spatial distribution of local convective weather events. Suitable data sources for developing each group of maps are identified. Patterns of change in key climate variables across the region were identified from 1981 to 2024. The resulting maps were published on the web-GIS "Climate Change in Perm Krai" (https://perm-climate.gispsu.ru).