The impact of stochastic mesoscale weather systems on the Atlantic Ocean

The ocean is forced by the atmosphere on a range of spatial and temporal scales. In numerical models the atmospheric resolution sets a limit on these scales and for typical climate models mesoscale (,500 km) atmospheric forcing is absent or misrepresented. Previous studies have demonstrated that mes...

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Bibliographic Details
Published in:Journal of Climate
Main Authors: Zhou, Shenjie, Renfrew, Ian A., Zhai, Xiaoming
Format: Article in Journal/Newspaper
Language:English
Published: 2023
Subjects:
Online Access:https://ueaeprints.uea.ac.uk/id/eprint/89339/
https://ueaeprints.uea.ac.uk/id/eprint/89339/7/1520_0442_JCLI_D_22_0044.1.pdf
https://doi.org/10.1175/JCLI-D-22-0044.1
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spelling ftuniveastangl:oai:ueaeprints.uea.ac.uk:89339 2023-05-15T17:28:43+02:00 The impact of stochastic mesoscale weather systems on the Atlantic Ocean Zhou, Shenjie Renfrew, Ian A. Zhai, Xiaoming 2023-02-01 application/pdf https://ueaeprints.uea.ac.uk/id/eprint/89339/ https://ueaeprints.uea.ac.uk/id/eprint/89339/7/1520_0442_JCLI_D_22_0044.1.pdf https://doi.org/10.1175/JCLI-D-22-0044.1 en eng https://ueaeprints.uea.ac.uk/id/eprint/89339/7/1520_0442_JCLI_D_22_0044.1.pdf Zhou, Shenjie, Renfrew, Ian A. and Zhai, Xiaoming (2023) The impact of stochastic mesoscale weather systems on the Atlantic Ocean. Journal of Climate, 36 (3). 791–804. ISSN 0894-8755 doi:10.1175/JCLI-D-22-0044.1 cc_by Article PeerReviewed 2023 ftuniveastangl https://doi.org/10.1175/JCLI-D-22-0044.1 2023-03-23T23:33:00Z The ocean is forced by the atmosphere on a range of spatial and temporal scales. In numerical models the atmospheric resolution sets a limit on these scales and for typical climate models mesoscale (,500 km) atmospheric forcing is absent or misrepresented. Previous studies have demonstrated that mesoscale forcing significantly affects key ocean circulation systems such as the North Atlantic subpolar gyre (SPG) and the Atlantic meridional overturning circulation (AMOC). Here we present ocean model simulations that demonstrate that the addition of realistic mesoscale atmospheric forcing leads to coherent patterns of change: a cooler sea surface in the tropical and subtropical Atlantic Ocean and deeper mixed layers in the subpolar North Atlantic in autumn, winter, and spring. These lead to robust statistically significant increases in the volume transport of the North Atlantic SPG by 10% and the AMOC by up to 10%. Our simulations use a novel stochastic parameterization-based on a cellular automata algorithm-to represent spatially coherent weather systems realistically over a range of scales, including down to the smallest resolvable by the ocean grid (;10 km). Convection-permitting atmospheric models predict changes in the intensity and frequency of mesoscale weather systems due to climate change, so representing them in coupled climate models would bring higher fidelity to future climate projections. Article in Journal/Newspaper North Atlantic University of East Anglia: UEA Digital Repository Journal of Climate 1 30
institution Open Polar
collection University of East Anglia: UEA Digital Repository
op_collection_id ftuniveastangl
language English
description The ocean is forced by the atmosphere on a range of spatial and temporal scales. In numerical models the atmospheric resolution sets a limit on these scales and for typical climate models mesoscale (,500 km) atmospheric forcing is absent or misrepresented. Previous studies have demonstrated that mesoscale forcing significantly affects key ocean circulation systems such as the North Atlantic subpolar gyre (SPG) and the Atlantic meridional overturning circulation (AMOC). Here we present ocean model simulations that demonstrate that the addition of realistic mesoscale atmospheric forcing leads to coherent patterns of change: a cooler sea surface in the tropical and subtropical Atlantic Ocean and deeper mixed layers in the subpolar North Atlantic in autumn, winter, and spring. These lead to robust statistically significant increases in the volume transport of the North Atlantic SPG by 10% and the AMOC by up to 10%. Our simulations use a novel stochastic parameterization-based on a cellular automata algorithm-to represent spatially coherent weather systems realistically over a range of scales, including down to the smallest resolvable by the ocean grid (;10 km). Convection-permitting atmospheric models predict changes in the intensity and frequency of mesoscale weather systems due to climate change, so representing them in coupled climate models would bring higher fidelity to future climate projections.
format Article in Journal/Newspaper
author Zhou, Shenjie
Renfrew, Ian A.
Zhai, Xiaoming
spellingShingle Zhou, Shenjie
Renfrew, Ian A.
Zhai, Xiaoming
The impact of stochastic mesoscale weather systems on the Atlantic Ocean
author_facet Zhou, Shenjie
Renfrew, Ian A.
Zhai, Xiaoming
author_sort Zhou, Shenjie
title The impact of stochastic mesoscale weather systems on the Atlantic Ocean
title_short The impact of stochastic mesoscale weather systems on the Atlantic Ocean
title_full The impact of stochastic mesoscale weather systems on the Atlantic Ocean
title_fullStr The impact of stochastic mesoscale weather systems on the Atlantic Ocean
title_full_unstemmed The impact of stochastic mesoscale weather systems on the Atlantic Ocean
title_sort impact of stochastic mesoscale weather systems on the atlantic ocean
publishDate 2023
url https://ueaeprints.uea.ac.uk/id/eprint/89339/
https://ueaeprints.uea.ac.uk/id/eprint/89339/7/1520_0442_JCLI_D_22_0044.1.pdf
https://doi.org/10.1175/JCLI-D-22-0044.1
genre North Atlantic
genre_facet North Atlantic
op_relation https://ueaeprints.uea.ac.uk/id/eprint/89339/7/1520_0442_JCLI_D_22_0044.1.pdf
Zhou, Shenjie, Renfrew, Ian A. and Zhai, Xiaoming (2023) The impact of stochastic mesoscale weather systems on the Atlantic Ocean. Journal of Climate, 36 (3). 791–804. ISSN 0894-8755
doi:10.1175/JCLI-D-22-0044.1
op_rights cc_by
op_doi https://doi.org/10.1175/JCLI-D-22-0044.1
container_title Journal of Climate
container_start_page 1
op_container_end_page 30
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