ORBi: Troupin Charles - Three-dimensional analysis of oceanographic data with the software DIVA

Reference : Three-dimensional analysis of oceanographic data with the software DIVA


	Document type :	Scientific congresses and symposiums : Paper published in a journal
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
	To cite this reference:	http://hdl.handle.net/2268/79550

Title :	Three-dimensional analysis of oceanographic data with the software DIVA
Language :	English
Author, co-author :	Troupin, Charles [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
	Ouberdous, Mohamed [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) - Modélisation du climat et des cycles biogéochimiques >]
	Rixen, Michel [NURC - NATO Undersea Research Centre > > > >]
	Sirjacobs, Damien [Université de Liège - ULg > Département des sciences de la vie > Algologie, mycologie et systématique expérimentale >]
	Beckers, Jean-Marie [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Publication date :	2008
Journal title :	Geophysical Research Abstracts
Publisher :	European Geophysical Society
Pages :	EGU2008-A-10284
On invitation :	No
Audience :	International
ISSN :	1029-7006
e-ISSN :	1607-7962
City :	Katlenburg-Lindau
Country :	Germany
Event name :	5th EGU General Assembly, 2008
Event organizer :	European Geosciences Union
Event place (city) :	Vienna
Event country :	Austria
Keywords :	[en] Data Interpolation Variational Analysis ; Oceanographic data ; 3D ; DIVA
Abstract :	[en] In oceanography, the process of gridding data is frequently used for various purposes, e.g. initialization of hydrodynamic models, or graphical representation of sparse data. DIVA (Data-Interpolating Variational Analysis) is designed to perform such gridding tasks. It has the advantage of taking into account the intrinsic nature of oceanographic data, i.e. uncertainty in in situ measurements and anisotropy due to advection and irregular coastlines and topography. Three-dimensional reconstruction of temperature and salinity fields is achieved by stacking horizontal layers where independent analysis with DIVA are performed. Nevertheless, analysis in regions void of data may result in the presence of static instabilities between two or more consecutive layers. The method implemented in DIVA to remove such kinds of instabilities is the object of the present work. It consists of adding pseudo-data from one layer to the upper adjacent layer in order to create stable stratification in the vicinity of instabilities. Two approaches for assigning values to the pseudo data are tested: the first is called the mixing approach and aims at simulating a mixing process between two layers; the second is called the minimal perturbation, as it strives to minimise the perturbations inthe pseudo-data. A realistic application using temperature and salinity profiles in the North Atlantic is carried out and the results are compared with World Ocean Atlas climatologies.
Research units :	Centre Interfacultaire de Recherches en Océanologie - MARE; GHER
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/2268/79550
Other URL :	http://www.geophys-res-abstr.net/volumes.html

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