Ocean Bottom Pressure Variability: Can It Be Reliably Modeled?

Ocean bottom pressure (OBP) variability serves as a proxy of ocean mass variability, the knowledge of which is needed in geophysical applications. The question of how well it can be modeled by the present general ocean circulation models on time scales in excess of 1 day is addressed here by compari...

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Main Authors: Androsov, Alexey, Boebel, Olaf, Schröter, Jens, Danilov, Sergey, Macrander, Andreas, Ivanciu, Ioana
Format: Text
Language:English
Published: FID GEO 2020
Subjects:
Online Access:https://dx.doi.org/10.23689/fidgeo-4686
https://e-docs.geo-leo.de/handle/11858/9032
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spelling ftdatacite:10.23689/fidgeo-4686 2023-05-15T18:25:29+02:00 Ocean Bottom Pressure Variability: Can It Be Reliably Modeled? Androsov, Alexey Boebel, Olaf Schröter, Jens Danilov, Sergey Macrander, Andreas Ivanciu, Ioana 2020 https://dx.doi.org/10.23689/fidgeo-4686 https://e-docs.geo-leo.de/handle/11858/9032 en eng FID GEO Text Article article-journal ScholarlyArticle 2020 ftdatacite https://doi.org/10.23689/fidgeo-4686 2021-11-05T12:55:41Z Ocean bottom pressure (OBP) variability serves as a proxy of ocean mass variability, the knowledge of which is needed in geophysical applications. The question of how well it can be modeled by the present general ocean circulation models on time scales in excess of 1 day is addressed here by comparing the simulated OBP variability with the observed one. To this end, a new multiyear data set is used, obtained with an array of bottom pressure gauges deployed deeply along a transect across the Southern Ocean. We present a brief description of OBP data and show large-scale correlations over several thousand kilometers at all time scales using daily and monthly averaged data. Annual and semiannual cycles are weak. Close to the Agulhas Retroflection, signals of up to 30 cm equivalent water height are detected. Further south, signals are mostly intermittent and noisy. It is shown that the models simulate consistent patterns of bottom pressure variability on monthly and longer scales except for areas with high mesoscale eddy activity, where high resolution is needed to capture the variability due to eddies. Furthermore, despite good agreement in the amplitude of variability, the in situ and simulated OBP show only modest correlation. Text Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Southern Ocean
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description Ocean bottom pressure (OBP) variability serves as a proxy of ocean mass variability, the knowledge of which is needed in geophysical applications. The question of how well it can be modeled by the present general ocean circulation models on time scales in excess of 1 day is addressed here by comparing the simulated OBP variability with the observed one. To this end, a new multiyear data set is used, obtained with an array of bottom pressure gauges deployed deeply along a transect across the Southern Ocean. We present a brief description of OBP data and show large-scale correlations over several thousand kilometers at all time scales using daily and monthly averaged data. Annual and semiannual cycles are weak. Close to the Agulhas Retroflection, signals of up to 30 cm equivalent water height are detected. Further south, signals are mostly intermittent and noisy. It is shown that the models simulate consistent patterns of bottom pressure variability on monthly and longer scales except for areas with high mesoscale eddy activity, where high resolution is needed to capture the variability due to eddies. Furthermore, despite good agreement in the amplitude of variability, the in situ and simulated OBP show only modest correlation.
format Text
author Androsov, Alexey
Boebel, Olaf
Schröter, Jens
Danilov, Sergey
Macrander, Andreas
Ivanciu, Ioana
spellingShingle Androsov, Alexey
Boebel, Olaf
Schröter, Jens
Danilov, Sergey
Macrander, Andreas
Ivanciu, Ioana
Ocean Bottom Pressure Variability: Can It Be Reliably Modeled?
author_facet Androsov, Alexey
Boebel, Olaf
Schröter, Jens
Danilov, Sergey
Macrander, Andreas
Ivanciu, Ioana
author_sort Androsov, Alexey
title Ocean Bottom Pressure Variability: Can It Be Reliably Modeled?
title_short Ocean Bottom Pressure Variability: Can It Be Reliably Modeled?
title_full Ocean Bottom Pressure Variability: Can It Be Reliably Modeled?
title_fullStr Ocean Bottom Pressure Variability: Can It Be Reliably Modeled?
title_full_unstemmed Ocean Bottom Pressure Variability: Can It Be Reliably Modeled?
title_sort ocean bottom pressure variability: can it be reliably modeled?
publisher FID GEO
publishDate 2020
url https://dx.doi.org/10.23689/fidgeo-4686
https://e-docs.geo-leo.de/handle/11858/9032
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_doi https://doi.org/10.23689/fidgeo-4686
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