A fully coupled Arctic sea-ice–ocean–atmosphere model (ArcIOAM v1.0) based on C-Coupler2: model description and preliminary results
The Arctic regional coupled sea-ice–ocean–atmosphere model (ArcIOAM) has been developed to provide reliable Arctic sea ice prediction on seasonal timescales. The description and implementation of ArcIOAM and its preliminary results for the year of 2012 are presented in this paper. In the ArcIOAM con...
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Veröffentlicht in: | Geoscientific Model Development 2021-02, Vol.14 (2), p.1101-1124 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The Arctic regional coupled sea-ice–ocean–atmosphere
model (ArcIOAM) has been developed to provide reliable Arctic sea ice
prediction on seasonal timescales. The description and implementation of
ArcIOAM and its preliminary results for the year of 2012 are presented in
this paper. In the ArcIOAM configuration, the Community Coupler 2
(C-Coupler2) is used to couple the Arctic sea-ice–oceanic configuration of
the MITgcm (Massachusetts Institute of Technology general circulation model)
with the Arctic atmospheric configuration of the Polar WRF (Weather Research
and Forecasting) model. A scalability test is performed to investigate the
parallelization of the coupled model. As the first step toward reliable
Arctic seasonal sea ice prediction, ArcIOAM, implemented with two-way
coupling strategy along with one-way coupling strategy, is evaluated with
respect to available observational data and reanalysis products for the year
of 2012. A stand-alone MITgcm run with prescribed atmospheric forcing is
performed for reference. From the comparison, all the experiments simulate
reasonable evolution of sea ice and ocean states in the Arctic region over a
1-year simulation period. The two-way coupling has better performance in
terms of sea ice extent, concentration, thickness and sea surface temperature (SST), especially in
summer. This result indicates that sea-ice–ocean–atmosphere interaction
plays a crucial role in controlling Arctic summertime sea ice distribution. |
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ISSN: | 1991-9603 1991-959X 1991-962X 1991-9603 1991-962X |
DOI: | 10.5194/gmd-14-1101-2021 |