Sensitivity of simulated regional Arctic climate to the choice of coupled model domain

The climate over the Arctic has undergone changes in recent decades. In order to evaluate the coupled response of the Arctic system to external and internal forcing, our study focuses on the estimation of regional climate variability and its dependence on large-scale atmospheric and regional ocean c...

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Published in:Tellus A: Dynamic Meteorology and Oceanography
Main Authors: Sein, Dmitry V., Koldunov, Nikolay V., Pinto, Joaquim G., Cabos, William
Format: Article in Journal/Newspaper
Language:English
Published: Co-Action Publishing 2014
Subjects:
Online Access:https://centaur.reading.ac.uk/37938/
https://centaur.reading.ac.uk/37938/1/23966-128566-1-PB.pdf
https://doi.org/10.3402/tellusa.v66.23966
id ftunivreading:oai:centaur.reading.ac.uk:37938
record_format openpolar
spelling ftunivreading:oai:centaur.reading.ac.uk:37938 2023-09-05T13:15:48+02:00 Sensitivity of simulated regional Arctic climate to the choice of coupled model domain Sein, Dmitry V. Koldunov, Nikolay V. Pinto, Joaquim G. Cabos, William 2014-07-03 text https://centaur.reading.ac.uk/37938/ https://centaur.reading.ac.uk/37938/1/23966-128566-1-PB.pdf https://doi.org/10.3402/tellusa.v66.23966 en eng Co-Action Publishing https://centaur.reading.ac.uk/37938/1/23966-128566-1-PB.pdf Sein, Dmitry V., Koldunov, Nikolay V., Pinto, Joaquim G. and Cabos, William (2014) Sensitivity of simulated regional Arctic climate to the choice of coupled model domain. Tellus A, 66. 23966. ISSN 1600-0870 doi: https://doi.org/10.3402/tellusa.v66.23966 <https://doi.org/10.3402/tellusa.v66.23966> cc_by Article PeerReviewed 2014 ftunivreading https://doi.org/10.3402/tellusa.v66.23966 2023-08-14T17:56:17Z The climate over the Arctic has undergone changes in recent decades. In order to evaluate the coupled response of the Arctic system to external and internal forcing, our study focuses on the estimation of regional climate variability and its dependence on large-scale atmospheric and regional ocean circulations. A global ocean–sea ice model with regionally high horizontal resolution is coupled to an atmospheric regional model and global terrestrial hydrology model. This way of coupling divides the global ocean model setup into two different domains: one coupled, where the ocean and the atmosphere are interacting, and one uncoupled, where the ocean model is driven by prescribed atmospheric forcing and runs in a so-called stand-alone mode. Therefore, selecting a specific area for the regional atmosphere implies that the ocean–atmosphere system can develop ‘freely’ in that area, whereas for the rest of the global ocean, the circulation is driven by prescribed atmospheric forcing without any feedbacks. Five different coupled setups are chosen for ensemble simulations. The choice of the coupled domains was done to estimate the influences of the Subtropical Atlantic, Eurasian and North Pacific regions on northern North Atlantic and Arctic climate. Our simulations show that the regional coupled ocean–atmosphere model is sensitive to the choice of the modelled area. The different model configurations reproduce differently both the mean climate and its variability. Only two out of five model setups were able to reproduce the Arctic climate as observed under recent climate conditions (ERA-40 Reanalysis). Evidence is found that the main source of uncertainty for Arctic climate variability and its predictability is the North Pacific. The prescription of North Pacific conditions in the regional model leads to significant correlation with observations, even if the whole North Atlantic is within the coupled model domain. However, the inclusion of the North Pacific area into the coupled system drastically changes the Arctic ... Article in Journal/Newspaper Arctic Arctic North Atlantic Sea ice CentAUR: Central Archive at the University of Reading Arctic Pacific Tellus A: Dynamic Meteorology and Oceanography 66 1 23966
institution Open Polar
collection CentAUR: Central Archive at the University of Reading
op_collection_id ftunivreading
language English
description The climate over the Arctic has undergone changes in recent decades. In order to evaluate the coupled response of the Arctic system to external and internal forcing, our study focuses on the estimation of regional climate variability and its dependence on large-scale atmospheric and regional ocean circulations. A global ocean–sea ice model with regionally high horizontal resolution is coupled to an atmospheric regional model and global terrestrial hydrology model. This way of coupling divides the global ocean model setup into two different domains: one coupled, where the ocean and the atmosphere are interacting, and one uncoupled, where the ocean model is driven by prescribed atmospheric forcing and runs in a so-called stand-alone mode. Therefore, selecting a specific area for the regional atmosphere implies that the ocean–atmosphere system can develop ‘freely’ in that area, whereas for the rest of the global ocean, the circulation is driven by prescribed atmospheric forcing without any feedbacks. Five different coupled setups are chosen for ensemble simulations. The choice of the coupled domains was done to estimate the influences of the Subtropical Atlantic, Eurasian and North Pacific regions on northern North Atlantic and Arctic climate. Our simulations show that the regional coupled ocean–atmosphere model is sensitive to the choice of the modelled area. The different model configurations reproduce differently both the mean climate and its variability. Only two out of five model setups were able to reproduce the Arctic climate as observed under recent climate conditions (ERA-40 Reanalysis). Evidence is found that the main source of uncertainty for Arctic climate variability and its predictability is the North Pacific. The prescription of North Pacific conditions in the regional model leads to significant correlation with observations, even if the whole North Atlantic is within the coupled model domain. However, the inclusion of the North Pacific area into the coupled system drastically changes the Arctic ...
format Article in Journal/Newspaper
author Sein, Dmitry V.
Koldunov, Nikolay V.
Pinto, Joaquim G.
Cabos, William
spellingShingle Sein, Dmitry V.
Koldunov, Nikolay V.
Pinto, Joaquim G.
Cabos, William
Sensitivity of simulated regional Arctic climate to the choice of coupled model domain
author_facet Sein, Dmitry V.
Koldunov, Nikolay V.
Pinto, Joaquim G.
Cabos, William
author_sort Sein, Dmitry V.
title Sensitivity of simulated regional Arctic climate to the choice of coupled model domain
title_short Sensitivity of simulated regional Arctic climate to the choice of coupled model domain
title_full Sensitivity of simulated regional Arctic climate to the choice of coupled model domain
title_fullStr Sensitivity of simulated regional Arctic climate to the choice of coupled model domain
title_full_unstemmed Sensitivity of simulated regional Arctic climate to the choice of coupled model domain
title_sort sensitivity of simulated regional arctic climate to the choice of coupled model domain
publisher Co-Action Publishing
publishDate 2014
url https://centaur.reading.ac.uk/37938/
https://centaur.reading.ac.uk/37938/1/23966-128566-1-PB.pdf
https://doi.org/10.3402/tellusa.v66.23966
geographic Arctic
Pacific
geographic_facet Arctic
Pacific
genre Arctic
Arctic
North Atlantic
Sea ice
genre_facet Arctic
Arctic
North Atlantic
Sea ice
op_relation https://centaur.reading.ac.uk/37938/1/23966-128566-1-PB.pdf
Sein, Dmitry V., Koldunov, Nikolay V., Pinto, Joaquim G. and Cabos, William (2014) Sensitivity of simulated regional Arctic climate to the choice of coupled model domain. Tellus A, 66. 23966. ISSN 1600-0870 doi: https://doi.org/10.3402/tellusa.v66.23966 <https://doi.org/10.3402/tellusa.v66.23966>
op_rights cc_by
op_doi https://doi.org/10.3402/tellusa.v66.23966
container_title Tellus A: Dynamic Meteorology and Oceanography
container_volume 66
container_issue 1
container_start_page 23966
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