Vlaams Instituut voor de Zee

Platform voor marien onderzoek

In:

Open Marien Archief

Het Open Marien Archief van België (OMA) biedt vrije toegang tot de digitale publicaties over de Vlaamse kust en het Belgisch deel van de Noordzee, en alle andere mariene, estuariene en kustgebonden publicaties van Belgische auteurs en wetenschappers en van buitenlandse wetenschappers geaffilieerd aan een Belgische instelling.

Meer info

Nieuwe zoekopdracht
meld een fout in dit recordmandje (0): toevoegen | toon Print-vriendelijke versie

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. (2010). High-resolution climatology of the northeast Atlantic using Data-Interpolating Variational Analysis (Diva). J. Geophys. Res. 115(C08005): 20 pp. dx.doi.org/10.1029/2009JC005512
In: Journal of Geophysical Research. American Geophysical Union: Washington DC. ISSN 0148-0227, meer
Peer reviewed article

Beschikbaar in Auteurs 

Trefwoord
    Marien

Auteurs  Top 
  • Troupin, C., meer
  • Machín, F.
  • Ouberdous, M., meer

Abstract
    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.

 Top | Auteurs