North Atlantic Subtropical Mode Water properties: Intrinsic and atmospherically-forced interannual variability

This study investigates the contributions of the ocean’s chaotic intrinsic variability (CIV) and atmospherically-forced variability on the interannual fluctuations of the North Atlantic Eighteen Degree Water (EDW) properties. Utilizing a 1/4° regional 50-member ocean/sea-ice ensemb...

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Main Authors: Narinc, Olivier, Penduff, Thierry, Maze, Guillaume, Leroux, Stéphanie, Molines, Jean-Marc
Format: Text
Language:English
Published: 2024
Subjects:
Online Access:https://doi.org/10.5194/egusphere-2024-1146
https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1146/
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spelling ftcopernicus:oai:publications.copernicus.org:egusphere119471 2024-06-23T07:55:00+00:00 North Atlantic Subtropical Mode Water properties: Intrinsic and atmospherically-forced interannual variability Narinc, Olivier Penduff, Thierry Maze, Guillaume Leroux, Stéphanie Molines, Jean-Marc 2024-04-25 application/pdf https://doi.org/10.5194/egusphere-2024-1146 https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1146/ eng eng doi:10.5194/egusphere-2024-1146 https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1146/ eISSN: Text 2024 ftcopernicus https://doi.org/10.5194/egusphere-2024-1146 2024-06-13T01:24:45Z This study investigates the contributions of the ocean’s chaotic intrinsic variability (CIV) and atmospherically-forced variability on the interannual fluctuations of the North Atlantic Eighteen Degree Water (EDW) properties. Utilizing a 1/4° regional 50-member ocean/sea-ice ensemble simulation driven by an original surface forcing method and perturbed initially, the forced variability of EDW properties is estimated from ensemble mean fluctuations, while CIV is determined from deviations around the ensemble mean within each member. The model successfully captures the main features of EDW, showing good agreement with observation-based ARMOR3D data in terms of location, seasonality, mean temperature and volume, and interannual variance of its main properties. CIV significantly impacts EDW, explaining 10–13 and 28–44 % of the interannual variance of its geometric and thermohaline mean properties, respectively, with a maximum imprint on EDW temperature. Observed and simulated intrinsic-to-total variance ratios are mostly consistent, dispelling concerns about a signal-to-noise paradox. This study also illustrates the advantages of ensemble simulations over single simulations in understanding oceanic fluctuations and attributing them to external drivers, while also cautioning against overreliance on individual simulations assessments. Text North Atlantic Sea ice Copernicus Publications: E-Journals
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description This study investigates the contributions of the ocean’s chaotic intrinsic variability (CIV) and atmospherically-forced variability on the interannual fluctuations of the North Atlantic Eighteen Degree Water (EDW) properties. Utilizing a 1/4° regional 50-member ocean/sea-ice ensemble simulation driven by an original surface forcing method and perturbed initially, the forced variability of EDW properties is estimated from ensemble mean fluctuations, while CIV is determined from deviations around the ensemble mean within each member. The model successfully captures the main features of EDW, showing good agreement with observation-based ARMOR3D data in terms of location, seasonality, mean temperature and volume, and interannual variance of its main properties. CIV significantly impacts EDW, explaining 10–13 and 28–44 % of the interannual variance of its geometric and thermohaline mean properties, respectively, with a maximum imprint on EDW temperature. Observed and simulated intrinsic-to-total variance ratios are mostly consistent, dispelling concerns about a signal-to-noise paradox. This study also illustrates the advantages of ensemble simulations over single simulations in understanding oceanic fluctuations and attributing them to external drivers, while also cautioning against overreliance on individual simulations assessments.
format Text
author Narinc, Olivier
Penduff, Thierry
Maze, Guillaume
Leroux, Stéphanie
Molines, Jean-Marc
spellingShingle Narinc, Olivier
Penduff, Thierry
Maze, Guillaume
Leroux, Stéphanie
Molines, Jean-Marc
North Atlantic Subtropical Mode Water properties: Intrinsic and atmospherically-forced interannual variability
author_facet Narinc, Olivier
Penduff, Thierry
Maze, Guillaume
Leroux, Stéphanie
Molines, Jean-Marc
author_sort Narinc, Olivier
title North Atlantic Subtropical Mode Water properties: Intrinsic and atmospherically-forced interannual variability
title_short North Atlantic Subtropical Mode Water properties: Intrinsic and atmospherically-forced interannual variability
title_full North Atlantic Subtropical Mode Water properties: Intrinsic and atmospherically-forced interannual variability
title_fullStr North Atlantic Subtropical Mode Water properties: Intrinsic and atmospherically-forced interannual variability
title_full_unstemmed North Atlantic Subtropical Mode Water properties: Intrinsic and atmospherically-forced interannual variability
title_sort north atlantic subtropical mode water properties: intrinsic and atmospherically-forced interannual variability
publishDate 2024
url https://doi.org/10.5194/egusphere-2024-1146
https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1146/
genre North Atlantic
Sea ice
genre_facet North Atlantic
Sea ice
op_source eISSN:
op_relation doi:10.5194/egusphere-2024-1146
https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1146/
op_doi https://doi.org/10.5194/egusphere-2024-1146
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