ISAS-Tool Version 6 : Method and configuration ...

ISAS (In Situ Analysis System) is an analysis tool for the temperature and salinity fields. Originally designed for the synthesis of ARGO dataset, it has been tested for the first time on the POMME area in the North-East Atlantic in 2000, it was later extended to the Atlantic and the Global ocean as...

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Main Author: Gaillard, Fabienne
Format: Book
Language:unknown
Published: Ifremer 2012
Subjects:
Online Access:https://dx.doi.org/10.13155/22583
https://archimer.ifremer.fr/doc/00115/22583/
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spelling ftdatacite:10.13155/22583 2023-10-01T03:58:09+02:00 ISAS-Tool Version 6 : Method and configuration ... Gaillard, Fabienne 2012 pdf https://dx.doi.org/10.13155/22583 https://archimer.ifremer.fr/doc/00115/22583/ unknown Ifremer https://dx.doi.org/10.17882/45945 2012 Ifremer, CNRS, IRD, UBO ISAS Monograph book Book Text 2012 ftdatacite https://doi.org/10.13155/2258310.17882/45945 2023-09-04T13:06:09Z ISAS (In Situ Analysis System) is an analysis tool for the temperature and salinity fields. Originally designed for the synthesis of ARGO dataset, it has been tested for the first time on the POMME area in the North-East Atlantic in 2000, it was later extended to the Atlantic and the Global ocean as the Argo array was setting up. It is developed and maintained at LPO (Laboratoire de Physique des Océans) within the Argo Observing Service (SO-ARGO) where it is used for research purposes on ocean variability. ISAS is made available to the Coriolis datacenter for exploitation in operational mode. It can accommodate a wide range of in situ measurements if they are provided in the standard NetCdf format distributed by the Coriolis datacenter (http://www.coriolis.eu.org/ ) . It is based on optimal interpolation and the estimated quantity is the anomaly on depth levels relative to a reference climatology. ISAS is uni-variate, which means that temperature and salinity variables are estimated independently. This ... Book North East 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)
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language unknown
topic ISAS
spellingShingle ISAS
Gaillard, Fabienne
ISAS-Tool Version 6 : Method and configuration ...
topic_facet ISAS
description ISAS (In Situ Analysis System) is an analysis tool for the temperature and salinity fields. Originally designed for the synthesis of ARGO dataset, it has been tested for the first time on the POMME area in the North-East Atlantic in 2000, it was later extended to the Atlantic and the Global ocean as the Argo array was setting up. It is developed and maintained at LPO (Laboratoire de Physique des Océans) within the Argo Observing Service (SO-ARGO) where it is used for research purposes on ocean variability. ISAS is made available to the Coriolis datacenter for exploitation in operational mode. It can accommodate a wide range of in situ measurements if they are provided in the standard NetCdf format distributed by the Coriolis datacenter (http://www.coriolis.eu.org/ ) . It is based on optimal interpolation and the estimated quantity is the anomaly on depth levels relative to a reference climatology. ISAS is uni-variate, which means that temperature and salinity variables are estimated independently. This ...
format Book
author Gaillard, Fabienne
author_facet Gaillard, Fabienne
author_sort Gaillard, Fabienne
title ISAS-Tool Version 6 : Method and configuration ...
title_short ISAS-Tool Version 6 : Method and configuration ...
title_full ISAS-Tool Version 6 : Method and configuration ...
title_fullStr ISAS-Tool Version 6 : Method and configuration ...
title_full_unstemmed ISAS-Tool Version 6 : Method and configuration ...
title_sort isas-tool version 6 : method and configuration ...
publisher Ifremer
publishDate 2012
url https://dx.doi.org/10.13155/22583
https://archimer.ifremer.fr/doc/00115/22583/
genre North East Atlantic
genre_facet North East Atlantic
op_relation https://dx.doi.org/10.17882/45945
op_rights 2012 Ifremer, CNRS, IRD, UBO
op_doi https://doi.org/10.13155/2258310.17882/45945
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