Seasonal Variability of Water and Sea-Ice Circulation in the Arctic Ocean in a High-Resolution Model

In this work, results of modeling the intra-annual variability of water and ice circulation in the Arctic Ocean by means of the INMIO4.1 three-dimensional model of ocean dynamics and the CICE5.1 sea-ice model are considered. The coupled ocean–ice model is implemented on massively parallel computers...

Full description

Saved in:
Bibliographic Details
Published in:Izvestiya. Atmospheric and oceanic physics 2020-09, Vol.56 (5), p.522-533
Main Authors: Kalnitskii, L. Y., Kaurkin, M. N., Ushakov, K. V., Ibrayev, R. A.
Format: Article
Language:English
Subjects:
Annual variations
Arctic circulation
Arctic sea ice
Climatology
Computer software
Computers
Earth and Environmental Science
Earth Sciences
Geographical distribution
Geophysics/Geodesy
High resolution
Modelling
Numerical experiments
Ocean dynamics
Ocean models
Oceans
Parallel computers
Qualitative analysis
Resolution
Sea ice
Sea ice models
Seasonal variability
Seasonal variation
Seasonal variations
Three dimensional models
Vertical profiles
Water circulation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this work, results of modeling the intra-annual variability of water and ice circulation in the Arctic Ocean by means of the INMIO4.1 three-dimensional model of ocean dynamics and the CICE5.1 sea-ice model are considered. The coupled ocean–ice model is implemented on massively parallel computers under the control of the CMF2.0 cosimulation software package. Results of a numerical experiment carried out according to the CORE-I protocol are presented. Geographical distributions, mean values, and intra-annual variability of the model solution characteristics describing the flow of water through key straits at the boundaries of the Arctic Ocean, propagation paths and vertical structure of the warm Atlantic water layer, and the area and volume of sea ice are analyzed. Qualitative agreement with observational and other high-resolution modeling data is obtained.
ISSN:0001-4338
1555-628X
DOI:10.1134/S0001433820050060