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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Published in:Journal of Geophysical Research: Oceans
Main Authors: Androsov, Alexey, Boebel, Olaf, Schröter, Jens, Danilov, Sergey, Macrander, Andreas, Ivanciu, Ioana
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://doi.org/10.1029/2019JC015469
http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9032
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spelling ftsubggeo:oai:e-docs.geo-leo.de:11858/9032 2023-05-15T18:25:33+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://doi.org/10.1029/2019JC015469 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9032 eng eng doi:10.1029/2019JC015469 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9032 This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. CC-BY ddc:551.46 in situ ocean bottom pressure pressure inverted echo sounder PIES modeling OBP variability daily and monthly scales atmospheric loading doc-type:article 2020 ftsubggeo https://doi.org/10.1029/2019JC015469 2022-11-09T06:51:38Z 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. Article in Journal/Newspaper Southern Ocean GEO-LEOe-docs (FID GEO) Southern Ocean Journal of Geophysical Research: Oceans 125 3
institution Open Polar
collection GEO-LEOe-docs (FID GEO)
op_collection_id ftsubggeo
language English
topic ddc:551.46
in situ ocean bottom pressure
pressure inverted echo sounder PIES
modeling OBP variability
daily and monthly scales
atmospheric loading
spellingShingle ddc:551.46
in situ ocean bottom pressure
pressure inverted echo sounder PIES
modeling OBP variability
daily and monthly scales
atmospheric loading
Androsov, Alexey
Boebel, Olaf
Schröter, Jens
Danilov, Sergey
Macrander, Andreas
Ivanciu, Ioana
Ocean Bottom Pressure Variability: Can It Be Reliably Modeled?
topic_facet ddc:551.46
in situ ocean bottom pressure
pressure inverted echo sounder PIES
modeling OBP variability
daily and monthly scales
atmospheric loading
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 Article in Journal/Newspaper
author Androsov, Alexey
Boebel, Olaf
Schröter, Jens
Danilov, Sergey
Macrander, Andreas
Ivanciu, Ioana
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?
publishDate 2020
url https://doi.org/10.1029/2019JC015469
http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9032
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_relation doi:10.1029/2019JC015469
http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9032
op_rights This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
op_rightsnorm CC-BY
op_doi https://doi.org/10.1029/2019JC015469
container_title Journal of Geophysical Research: Oceans
container_volume 125
container_issue 3
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