DIVA-4.2.1: presentation of the new featuresTroupin, Charles ; ; Ouberdous, Mohamed et alPoster (2008, April 03) Detailed reference viewed: 10 (0 ULg) Implementation of hydrostatic constraint in the software DIVA: Theory and applicationsTroupin, Charles ; Ouberdous, Mohamed ; et alPoster (2008, March 31) Detailed reference viewed: 3 (1 ULg) The western mediterranean sea surface temperature dynamics seen through complementary in situ, satellite and modelling approaches over the 1985-1995 periodTroupin, Charles ; Lenartz, Fabian ; Sirjacobs, Damien et alConference (2008) Detailed reference viewed: 26 (8 ULg) Three-dimensional analysis of oceanographic data with the software DIVATroupin, Charles ; Ouberdous, Mohamed ; et alin Geophysical Research Abstracts (2008) 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 ... [more ▼] 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. [less ▲] Detailed reference viewed: 26 (5 ULg) DIVA: a Data Analysis Software with Generalized-Cross Validation and Quality ControlTroupin, Charles ; ; Sirjacobs, Damien et alPoster (2007, May 19) Detailed reference viewed: 11 (1 ULg) Simulation of annual cycles of phytoplankton, zooplankton and nutrients to the South of Gran CanariaTroupin, Charles ; ; Poster (2007, May 11) Detailed reference viewed: 6 (0 ULg) Simulation of annual cycles of phytoplankton, zooplankton and nutrients to the South of Gran CanariaTroupin, Charles ; ; Conference (2007, March 28) Detailed reference viewed: 10 (0 ULg) DIVA Graphical User InterfaceTroupin, Charles ; Sirjacobs, Damien ; Beckers, Jean-Marie ![]() Conference (2006, November 13) Detailed reference viewed: 3 (0 ULg) Simulation of annual cycles of phytoplankton, zooplankton and nutrients using a mixed layer model coupled with a biological modelTroupin, Charles ![]() Master of advanced studies dissertation (2006) In oceanography, the mixed layer refers to the near surface part of the water column where physical and biological variables are distributed quasi homogeneously. Its depth depends on conditions at the air ... [more ▼] In oceanography, the mixed layer refers to the near surface part of the water column where physical and biological variables are distributed quasi homogeneously. Its depth depends on conditions at the air-sea interface (heat and freshwater fluxes, wind stress) and on the characteristics of the flow (stratification, shear), and has a strong influence on biological dynamics. The aim of this work is to model the behaviour of the mixed layer in waters situated to the south of Gran Canaria island, as well as the annual biological cycles (nutrients, planktons, detritus) which depend on it. To this end the one dimensional version of the ROMS (Regional Ocean Modelling System ) model is applied. The model consists of a physical model coupled with a biological one, with a mixed layer sub-model (K-Profile Parameterization). Initialization is done using mean profiles established from in situ data, forcing is from monthly means of heat fluxes, surface temperature, wind stress and heat flux sensitivity to sea surface temperature. These physical parameters are extracted from climatic databases and averaged over a 10-year period. Their annual variations are interpreted in order to physically predict the resulting behaviour of the mixed layer. The model is tested by means of a sensitivity analysis with respect to the forcing conditions, as well as through a comparison with other models for the case of idealized situations. Simulations are then performed, underlining, in summer, a strong stratification and a shallow mixed layer under the effect of the important heat fluxes; in late winter, a deep mixed layer due to convective mixing, causing an injection of nutrients into the layer and a phytoplankton bloom in February. Sverdrup critital depth euphotic theory is applied in the interpretation of these observations. Finally the model validation is achieved either through in situ data, or through climatic data, bringing to light a qualitative and quantitative agreement between model results and reality, for the physical variables as well as the biological ones. [less ▲] Detailed reference viewed: 20 (6 ULg) Structuration dans les milieux granulairesTroupin, Charles ![]() Master's dissertation (2005) L'objet de ce travail est l'étude des milieux granulaires soumis des oscillations sinusoïdales et des phénomènes de structurations qui peuvent s'y produire. Trois parties le composent : la première partie ... [more ▼] L'objet de ce travail est l'étude des milieux granulaires soumis des oscillations sinusoïdales et des phénomènes de structurations qui peuvent s'y produire. Trois parties le composent : la première partie est une introduction générale o quelques propriétés des granulaires sont exposés et où quelques structures dissipatives sont comparées. La deuxième partie présente les différents modèles permettant de décrire les phénomènes de structurations dont traite le travail. La dernière partie consiste en une étude expérimentale réalisée au laboratoire du GRASP. L'étude des différents modèles a montré que, contrairement aux fluides ou aux solides, des équations d'évolution de la densité, la vitesse et la température n'étaient pas parfaitement établies, ceci étant du à la nature fortement dissipative des milieux granulaires. Une analyse du système a également révélé qu'une description de type "milieu continu" n'est pas parfaitement justifiée, car la séparation entre les échelles microscopiques et macroscopiques est assez floue dans les milieux granulaires. L'étude expérimentale a permis de reproduire la plupart des structurations décrites dans la littérature, malgré les nombreuses imperfections du dispositif employé (vibrations fournies par un haut-parleur). Quelques mesures de longueur d'onde des "patterns" en fonction de la fréquence ont été réalisées. L'étude des comportements d'une couche constituée de deux matériaux granulaires différents a révélé que les mêmes structurations que dans la couche homogène se produisent, les plus gros grains se plaçant sur au-dessus des plus petits. En conclusion, les milieux granulaires en général et des phénomènes de structuration en particulier sont des domaines très vastes en plein développements. Les aspects théorique, numérique et expérimental méritent chacun de faire l'objet de recherche. Ce travail permet de faire le point sur les connaissances actuelles dans le domaine et ouvre de nombreuses perspectives d'étude. [less ▲] Detailed reference viewed: 10 (4 ULg) |
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