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Detailed long-term hydrometeorological hindcast for Russian Arctic was created using regional nonhydrostatic atmospheric model COSMO-CLM for 1980–2016 with ~12 km grid and shared online partially on the Figshare service. The hindcast includes about a hundred hydrometeorological variables at both surface and 50 model levels, and covers the Barents, Kara and Laptev Seas. The ‘added values’ of high wind speed frequencies based on COSMO-CLM hindcast showed an increase compared to ERA-Interim, especially over Barents Sea, Arctic islands, seacoasts and mainland areas. Significant regional details in mean and 1% percentile temperature patterns manifested in relief and lakes: over Scandinavian, Eastern Siberian mountains, Taymyr highlands, Novaya Zemlya ranges. Roshydromet Russian Arctic stations temperature and wind speed data were used to evaluate the COSMO-CLM hindcast. Mean wind speed biases are within +-2 m/s and up to -5 m/s for 95% wind speed percentiles. Maximal temperature biases are within -4 C, 1% temperature percentile errors do not exceed -6 C. Model capability to reproduce wind speed during strong downslope windstorms evaluated according to observations over Novaya Zemlya, Svalbard and Tiksi. According to stations extreme wind speed frequency and statistics is better for ASRv2 reanalysis than COSMO-CLM hindcast. However, COSMO-CLM hindcast is better in most cases for maximal wind speed and extreme percentiles according to high-resolution SAR Radarsat-2 data. Future plans include prolongation to 2019, sharing more data online; extreme and severe events statistics assessment (downslope windstorms, polar lows, MCAO climatologies using satellite data); quality estimation based on other datasets (ERA5, Arctic CORDEX, CARRA, satellites).