High-resolution Climatology of the northeast Atlantic using Data-Interpolating Variational Analysis (DIVA)

Troupin, Charles; Machin, Francis; Ouberdous, Mohamed; Sirjacobs, Damien; Barth, Alexander; Beckers, Jean-Marie

doi:10.1029/2009JC005512

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High-resolution Climatology of the northeast Atlantic using Data-Interpolating Variational Analysis (DIVA)

Troupin, Charles; Machin, Francis; Ouberdous, Mohamed et al.

2010 • In Journal of Geophysical Research, 115 (C08005), p. 20

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DOI
10.1029/2009JC005512

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Keywords :

Climatology; Variational analysis

Abstract :

[en] 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.

Research Center/Unit :

Centre Interfacultaire de Recherches en Océanologie - MARE - GHER

Disciplines :

Earth sciences & physical geography

Author, co-author :

Troupin, Charles ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)

Machin, Francis; Universidad de Las Palmas de Gran Canaria > Departamento de Física > Facultad de Ciencias del Mar

Ouberdous, Mohamed ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) - Modélisation du climat et des cycles biogéochimiques

Sirjacobs, Damien ; Université de Liège - ULiège > Département des sciences de la vie > Algologie, mycologie et systématique expérimentale

Barth, Alexander ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)

Beckers, Jean-Marie ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)

Language :

English

Title :

High-resolution Climatology of the northeast Atlantic using Data-Interpolating Variational Analysis (DIVA)

Publication date :

05 August 2010

Journal title :

Journal of Geophysical Research

ISSN :

0148-0227

eISSN :

2156-2202

Publisher :

American Geophysical Union (AGU), Washington, United States - District of Columbia

Volume :

115

Issue :

C08005

Pages :

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://www.agu.org/pubs/crossref/2010/2009JC005512.shtml

Available on ORBi :

since 11 August 2010

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