ИСТИНА

Taking into account the increasing number of dangerous phenomena and outlooks for the Arctic coast, the task of providing the region detailed hydrometeorological and climatic information with a horizontal resolution of at least several kilometers becomes particularly topical. The aim of this work is to obtain for the first time high-detailed integrated archive of many hydrometeorological parameters with a spatial resolution of less than 5 km based on the long-term simulation experiments. Detailed hydrometeorological fields in the Arctic over a long period (1980 – 2016) will be derived by the two-step downscaling technology with domains of ~13 km and ~4 km horizontal resolutions and will cover most of Russian Artic (western Arctic seas more detailed). The main tool is the well known regional non-hydrostatic model COSMO-CLM, the climate version of COSMO model. ERA-Interim global reanalysis will be used as driving conditions for regional model. The spectral nudging technique will be also applied within all simulations. First verification over hundreds stations over Russian Arctic have shown the best configuration of model and domains, including many turbulent scheme options and starting time of experiments. Model results over coast have shown a good agreement with observations, large errors over Eastern Siberia inland temperatures have been reduced using selected turbulence scheme options. There are no significant differences between ERA-Interim and ERA5 driving conditions, therefore the former was chosen as basic reanalysis taking into account data volume. The near future long-term experiments with the chosen model configuration would be conducted. The regional reanalysis output would be possible to use as inputs for e.g. modelling the ocean´s characteristics, coastal ecosystems, more detailed research of individual phenomena on nested domains, analysis of trends in the frequency of occurrence of extreme events and features of their spatial distribution, the hydrometeorological regime of coastal areas studies, climatology and tracking of polar mesocyclones, etc.