Changes in the Ice Cover of the Russian Arctic Seas in the 21st Century Based on the Results of Climate Models of the CMIP6 Project

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Abstract

Ice cover is one of the main parameters describing the state of the ice cover of various water areas. The simplicity of calculation determines the frequency of using the indicator in research work both for reading the seasonal course and interannual changes in the state of the ice cover, and for verifying model data or reanalysis data. In this paper, ice cover is calculated based on five data sources. The comparison is based on satellite data from the NSIDC DAAC archives October 26, 1978 – March 31, 2023; spatial resolution is 25×25 km, temporal resolution is 1 day; the data were collected by the SMMR, SSM/I, SSMI/S sensors on the DMSP program satellites, as well as the Nimbus-7 satellite) and OSISAF (product code OSI-401-d; March 1, 2005 – present; spatial resolution is 10×10 km, temporal resolution is 1 day; the data were collected by the SSMI/S sensor on the DMSP program satellites). Model data from the international CMIP (Coupled Model Intercomparison Project) project are used for comparison and verification. Of the more than 40 models of the sixth phase of the project, two were selected that provided the necessary data and were suitable in terms of spatial and temporal resolution – MPI-ESMI-2-HR and AWI-CM-1-1-MR of the Max Planck Institute and the Alfred Wegener Institute, respectively. For all obtained ice coverage series, the mean, standard deviation, range, correlation intervals, trend coefficients and standard error were estimated relative to the NSIDC series for the data intersection period of 19.09.2016–31.06.2023 in each of the Russian Arctic seas, as well as for the water area as a whole. Using the calculated statistical characteristics, satellite data on ice cover were compared with the results of modeling in accordance with different socioeconomic trajectories (Shared Socioeconomic Pathways, SSP) for both models, the quality of ice cover modeling was assessed, and scenarios were selected that most closely matched the satellite data for both the entire Russian Arctic water area and for individual seas. Based on the assumed optimal scenarios, possible changes in ice content were predicted.

About the authors

S. V. Tsedrik

Arctic and Antarctic Research Institute; Saint Petersburg State University

Email: sofikoise@gmail.com
Saint Petersburg, Russia; Saint Petersburg, Russia

R. I. May

Saint Petersburg State University; Krylov Scientific Center

Saint Petersburg, Russia; Saint Petersburg, Russia

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