High-resolution climatology of the northeast Atlantic using Data-Interpolating Variational Analysis (Diva)
Numerous climatologies are available at different resolutions and cover various parts of the global ocean. Most of them have a resolution too low to represent suitably regional processes and the methods for their construction are not able to take into account the influence of physical effects (topog...
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Online Access: | http://hdl.handle.net/10553/49045 https://doi.org/10.1029/2009JC005512 |
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ftunivlaspalmas:oai:accedacris.ulpgc.es:10553/49045 2023-05-15T17:41:18+02:00 High-resolution climatology of the northeast Atlantic using Data-Interpolating Variational Analysis (Diva) Troupin, C. MacHín, F. Ouberdous, M. Sirjacobs, D. Barth, A. Beckers, J. M. Machin, Francisco Troupin, Charles Beckers, Jean-Marie 35275999400 6602804374 6507786280 6507534218 8699212900 7102969748 2075539 1451397 4227316 4358768 519029 136309 WOS:Troupin, C WOS:Machin, F WOS:Ouberdous, M WOS:Sirjacobs, D WOS:Barth, A WOS:Beckers, JM 2010 http://hdl.handle.net/10553/49045 https://doi.org/10.1029/2009JC005512 eng eng Journal of Geophysical Research 115 0148-0227 http://hdl.handle.net/10553/49045 doi:10.1029/2009JC005512 77955548980 000280719900001 C08005 A-9287-2009 No ID Sí Journal of Geophysical Research: Oceans [ISSN 0148-0227],v. 115 (C08005) 251007 Oceanografía física Climatology Variational analysis Atlantic info:eu-repo/semantics/Article Article 2010 ftunivlaspalmas https://doi.org/10.1029/2009JC005512 2021-08-24T23:10:56Z Numerous climatologies are available at different resolutions and cover various parts of the global ocean. Most of them have a resolution too low to represent suitably regional processes and the methods for their construction are not able to take into account the influence of physical effects (topographic constraints, boundary conditions, advection, etc.). A high‐resolution atlas for temperature and salinity is developed for the northeast Atlantic Ocean on 33 depth levels. The originality of this climatology is twofold: (1) For the data set, data are collected on all major databases and aggregated to lead to an original data collection without duplicates, richer than the World Ocean Database 2005, for the same region of interest. (2) For the method, climatological fields are constructed using the variational method Data‐Interpolating Variational Analysis. The formulation of the latter allows the consideration of coastlines and bottom topography, and has a numerical cost almost independent on the number of observations. Moreover, only a few parameters, determined in an objective way, are necessary to perform an analysis. The results show overall good agreement with the widely used World Ocean Atlas, but also reveal significant improvements in coastal areas. Error maps are generated according to different theories and emphasize the importance of data coverage for the creation of such climatological fields. Automatic outlier detection is performed, and its effects on the analysis are examined. The method presented here is very general and not dependent on the region, hence it may be applied for creating other regional atlas in different zones of the global ocean. Article in Journal/Newspaper Northeast Atlantic Universidad de Las Palmas de Gran Canaria: Acceda Journal of Geophysical Research 115 C8 |
institution |
Open Polar |
collection |
Universidad de Las Palmas de Gran Canaria: Acceda |
op_collection_id |
ftunivlaspalmas |
language |
English |
topic |
251007 Oceanografía física Climatology Variational analysis Atlantic |
spellingShingle |
251007 Oceanografía física Climatology Variational analysis Atlantic Troupin, C. MacHín, F. Ouberdous, M. Sirjacobs, D. Barth, A. Beckers, J. M. High-resolution climatology of the northeast Atlantic using Data-Interpolating Variational Analysis (Diva) |
topic_facet |
251007 Oceanografía física Climatology Variational analysis Atlantic |
description |
Numerous climatologies are available at different resolutions and cover various parts of the global ocean. Most of them have a resolution too low to represent suitably regional processes and the methods for their construction are not able to take into account the influence of physical effects (topographic constraints, boundary conditions, advection, etc.). A high‐resolution atlas for temperature and salinity is developed for the northeast Atlantic Ocean on 33 depth levels. The originality of this climatology is twofold: (1) For the data set, data are collected on all major databases and aggregated to lead to an original data collection without duplicates, richer than the World Ocean Database 2005, for the same region of interest. (2) For the method, climatological fields are constructed using the variational method Data‐Interpolating Variational Analysis. The formulation of the latter allows the consideration of coastlines and bottom topography, and has a numerical cost almost independent on the number of observations. Moreover, only a few parameters, determined in an objective way, are necessary to perform an analysis. The results show overall good agreement with the widely used World Ocean Atlas, but also reveal significant improvements in coastal areas. Error maps are generated according to different theories and emphasize the importance of data coverage for the creation of such climatological fields. Automatic outlier detection is performed, and its effects on the analysis are examined. The method presented here is very general and not dependent on the region, hence it may be applied for creating other regional atlas in different zones of the global ocean. |
author2 |
Machin, Francisco Troupin, Charles Beckers, Jean-Marie 35275999400 6602804374 6507786280 6507534218 8699212900 7102969748 2075539 1451397 4227316 4358768 519029 136309 WOS:Troupin, C WOS:Machin, F WOS:Ouberdous, M WOS:Sirjacobs, D WOS:Barth, A WOS:Beckers, JM |
format |
Article in Journal/Newspaper |
author |
Troupin, C. MacHín, F. Ouberdous, M. Sirjacobs, D. Barth, A. Beckers, J. M. |
author_facet |
Troupin, C. MacHín, F. Ouberdous, M. Sirjacobs, D. Barth, A. Beckers, J. M. |
author_sort |
Troupin, C. |
title |
High-resolution climatology of the northeast Atlantic using Data-Interpolating Variational Analysis (Diva) |
title_short |
High-resolution climatology of the northeast Atlantic using Data-Interpolating Variational Analysis (Diva) |
title_full |
High-resolution climatology of the northeast Atlantic using Data-Interpolating Variational Analysis (Diva) |
title_fullStr |
High-resolution climatology of the northeast Atlantic using Data-Interpolating Variational Analysis (Diva) |
title_full_unstemmed |
High-resolution climatology of the northeast Atlantic using Data-Interpolating Variational Analysis (Diva) |
title_sort |
high-resolution climatology of the northeast atlantic using data-interpolating variational analysis (diva) |
publishDate |
2010 |
url |
http://hdl.handle.net/10553/49045 https://doi.org/10.1029/2009JC005512 |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_source |
Journal of Geophysical Research: Oceans [ISSN 0148-0227],v. 115 (C08005) |
op_relation |
Journal of Geophysical Research 115 0148-0227 http://hdl.handle.net/10553/49045 doi:10.1029/2009JC005512 77955548980 000280719900001 C08005 A-9287-2009 No ID Sí |
op_doi |
https://doi.org/10.1029/2009JC005512 |
container_title |
Journal of Geophysical Research |
container_volume |
115 |
container_issue |
C8 |
_version_ |
1766142777911934976 |