ИСТИНА

This study presents a new detailed hydrometeorological dataset for Russian Arctic region, obtained as a long-term hindcast with the nonhydrostatic atmospheric model COSMO-CLM for 1980–2016 period. The model domain included Barents, Kara, and Laptev seas with ≈12 km grid spacing. The optimal model set up was chosen based on preliminary test simulations for several summer and winter periods with varied options, and includes usage of ERA-Interim reanalysis as forcing data, new model version 5.05 with a so-called ICON-based physics and spectral nudging technique. Since the total volume of dataset is ~120 Tb, we have prepared a subset included 7 main surface variables within the entire 37-years period now and uploaded it to the free available online service (https://figshare.com/collections/Arctic_COSMO-CLM_reanalysis_all_years/5186714). Wind speed and temperature climatology in the new COSMO-CLM data set closely agrees with ERA-Interim reanalysis but has much detailed spatial patterns. The added value of COSMO-CLM data with respect to ERA-Interim is most pronounced in higher wind speeds during downslope windstorms, influence of mountain ranges on temperature patterns including surface temperature inversions. Extreme wind speeds preliminary comparison COSMO-CLM hindcast vs. ASR v.2 reanalysis has shown similar long-term statistics and regional differences in downslope windstorms intensity, over water and coastal areas. Potential applications and plans of further product development are also discussed.