2000-2014 climatology of the North Atlantic permanent pycnocline properties ...
This dataset contains OAC-P results from application to Argo data in the North Atlantic Ocean: - the 2000-2014 climatology of OAC-P results mapped onto a 0.5x0.5 grid with mapping error estimates; - the 2000-2014 probability density function of the permanent pycnocline potential density referenced t...
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Online Access: | https://dx.doi.org/10.17882/42386 https://www.seanoe.org/data/00313/42386/ |
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ftdatacite:10.17882/42386 2024-04-28T08:29:36+00:00 2000-2014 climatology of the North Atlantic permanent pycnocline properties ... Feucher, Charlene Maze, Guillaume Mercier, Herle 2016 https://dx.doi.org/10.17882/42386 https://www.seanoe.org/data/00313/42386/ unknown SEANOE https://archimer.ifremer.fr/doc/00435/54641/ https://archimer.ifremer.fr/doc/00366/47675/ https://archimer.ifremer.fr/doc/00318/42870/ https://dx.doi.org/10.17882/42182#42282 https://dx.doi.org/10.13155/61055 https://archimer.ifremer.fr/doc/00435/54641/ https://archimer.ifremer.fr/doc/00366/47675/ https://archimer.ifremer.fr/doc/00318/42870/ https://dx.doi.org/10.1175/jtech-d-15-0192.1 Creative Commons Attribution No Derivatives 2.0 Generic https://creativecommons.org/licenses/by-nd/2.0/legalcode cc-by-nd-2.0 North Atlantic Pycnocline Argo Stratification Subtropical gyre dataset Dataset 2016 ftdatacite https://doi.org/10.17882/4238610.17882/42182#4228210.13155/6105510.1175/jtech-d-15-0192.1 2024-04-02T10:53:54Z This dataset contains OAC-P results from application to Argo data in the North Atlantic Ocean: - the 2000-2014 climatology of OAC-P results mapped onto a 0.5x0.5 grid with mapping error estimates; - the 2000-2014 probability density function of the permanent pycnocline potential density referenced to the sea surface vs Brunt-Väisälä frequency squared. OAC-P is an "Objective Algorithm for the Characterization of the permanent Pycnocline" developed to characterize subtropical gyre stratification features with both observed and modeled potential density profiles. OAC-P estimates the following properties: - for the permanent pycnocline: depth, upper and lower thicknesses, Brunt-Väisälä frequency squared, potential density, temperature and salinity; - for the surface mode water overlying the permanent pycnocline: depth, Brunt-Väisälä frequency squared, potential density, temperature and salinity. Argo data were download from Coriolis Argo GDAC on December, 8th 2014. Only Argo data with QC=1, 2, 5 or 8 were used. ... Dataset North Atlantic DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
North Atlantic Pycnocline Argo Stratification Subtropical gyre |
spellingShingle |
North Atlantic Pycnocline Argo Stratification Subtropical gyre Feucher, Charlene Maze, Guillaume Mercier, Herle 2000-2014 climatology of the North Atlantic permanent pycnocline properties ... |
topic_facet |
North Atlantic Pycnocline Argo Stratification Subtropical gyre |
description |
This dataset contains OAC-P results from application to Argo data in the North Atlantic Ocean: - the 2000-2014 climatology of OAC-P results mapped onto a 0.5x0.5 grid with mapping error estimates; - the 2000-2014 probability density function of the permanent pycnocline potential density referenced to the sea surface vs Brunt-Väisälä frequency squared. OAC-P is an "Objective Algorithm for the Characterization of the permanent Pycnocline" developed to characterize subtropical gyre stratification features with both observed and modeled potential density profiles. OAC-P estimates the following properties: - for the permanent pycnocline: depth, upper and lower thicknesses, Brunt-Väisälä frequency squared, potential density, temperature and salinity; - for the surface mode water overlying the permanent pycnocline: depth, Brunt-Väisälä frequency squared, potential density, temperature and salinity. Argo data were download from Coriolis Argo GDAC on December, 8th 2014. Only Argo data with QC=1, 2, 5 or 8 were used. ... |
format |
Dataset |
author |
Feucher, Charlene Maze, Guillaume Mercier, Herle |
author_facet |
Feucher, Charlene Maze, Guillaume Mercier, Herle |
author_sort |
Feucher, Charlene |
title |
2000-2014 climatology of the North Atlantic permanent pycnocline properties ... |
title_short |
2000-2014 climatology of the North Atlantic permanent pycnocline properties ... |
title_full |
2000-2014 climatology of the North Atlantic permanent pycnocline properties ... |
title_fullStr |
2000-2014 climatology of the North Atlantic permanent pycnocline properties ... |
title_full_unstemmed |
2000-2014 climatology of the North Atlantic permanent pycnocline properties ... |
title_sort |
2000-2014 climatology of the north atlantic permanent pycnocline properties ... |
publisher |
SEANOE |
publishDate |
2016 |
url |
https://dx.doi.org/10.17882/42386 https://www.seanoe.org/data/00313/42386/ |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
https://archimer.ifremer.fr/doc/00435/54641/ https://archimer.ifremer.fr/doc/00366/47675/ https://archimer.ifremer.fr/doc/00318/42870/ https://dx.doi.org/10.17882/42182#42282 https://dx.doi.org/10.13155/61055 https://archimer.ifremer.fr/doc/00435/54641/ https://archimer.ifremer.fr/doc/00366/47675/ https://archimer.ifremer.fr/doc/00318/42870/ https://dx.doi.org/10.1175/jtech-d-15-0192.1 |
op_rights |
Creative Commons Attribution No Derivatives 2.0 Generic https://creativecommons.org/licenses/by-nd/2.0/legalcode cc-by-nd-2.0 |
op_doi |
https://doi.org/10.17882/4238610.17882/42182#4228210.13155/6105510.1175/jtech-d-15-0192.1 |
_version_ |
1797587735210360832 |