References of "Troupin, Charles"
     in
Bookmark and Share    
Full Text
See detailPoleward front of upwelling filaments generates subsurface anticyclonic eddies (FEDDY): a CAIBEX Project contribution
Sangrà, Pablo; Arístegui, Javier; Troupin, Charles ULiege et al

Poster (2010, February 25)

Detailed reference viewed: 20 (0 ULiège)
Full Text
See detailModeling and observation of an upwelling filament off Cape Ghir (NW Africa) during the CAIBEX survey
Troupin, Charles ULiege; Sangrà, Pablo; Arístegui, Javier et al

Poster (2010, February 22)

Detailed reference viewed: 14 (0 ULiège)
Full Text
See detailUpwelling filaments: a view through 3 different eyes
Troupin, Charles ULiege; Arístegui, Javier; Barton, Eric Desmond et al

Conference (2009, November 27)

Detailed reference viewed: 28 (1 ULiège)
Full Text
See detailModeling and observation of an upwelling filament off Cape Ghir (NW~Africa) during the CAIBEX campaign
Troupin, Charles ULiege; Arístegui, Javier; Barton, Eric Desmond et al

Poster (2009, November 27)

Detailed reference viewed: 9 (0 ULiège)
Full Text
See detailDIVA: new features
Beckers, Jean-Marie ULiege; Alvera Azcarate, Aïda ULiege; Barth, Alexander ULiege et al

Scientific conference (2009, October 23)

Detailed reference viewed: 21 (3 ULiège)
Full Text
See detailA new mechanism of upwelling generated filaments based on potential vorticity balance
Troupin, Charles ULiege; Mason, Evan; Beckers, Jean-Marie ULiege et al

Conference (2009, April 27)

Detailed reference viewed: 12 (0 ULiège)
Full Text
Peer Reviewed
See detailHigh-resolution Climatology of the North-East Atlantic using Data-Interpolating Variational Analysis
Troupin, Charles ULiege; Machín, Francisco; Ouberdous, Mohamed ULiege et al

Conference (2009, April 21)

Detailed reference viewed: 28 (3 ULiège)
Full Text
Peer Reviewed
See detailEvolution of Western Mediterranean Sea Surface Temperature between 1985 and 2005
Troupin, Charles ULiege; Lenartz, Fabian; Sirjacobs, Damien ULiege et al

Conference (2009, April 20)

Detailed reference viewed: 34 (3 ULiège)
Full Text
Peer Reviewed
See detailS,T-climatologies of the North Sea using the Variational Inverse Method
Scory, Serge; Ouberdous, Mohamed ULiege; Troupin, Charles ULiege et al

Poster (2009, April 19)

Detailed reference viewed: 28 (0 ULiège)
Full Text
Peer Reviewed
See detailA new mechanism of upwelling generated filaments based on potential vorticity balance
Troupin, Charles ULiege; Mason, Evan; Beckers, Jean-Marie ULiege et al

Poster (2009, April 19)

Detailed reference viewed: 15 (1 ULiège)
Full Text
See detailWeekly satellite sea surface temperature around Corsica, a DINEOF analysis of AVHRR data (1998), foreseeing comparison with interpolated and modelled fields.
Sirjacobs, Damien ULiege; Lenartz, Fabian ULiege; Troupin, Charles ULiege et al

Poster (2009, January)

Providing wide coverage and high spatio-temporal resolution, SST satellite archives are valuable sources of information for sound understanding of the ocean dynamics, including validation of ... [more ▼]

Providing wide coverage and high spatio-temporal resolution, SST satellite archives are valuable sources of information for sound understanding of the ocean dynamics, including validation of hydrodynamical modelling studies. Yet original SST fields have also many gaps (clouds, retrieval problems), but they are known to exhibit strong spatial and temporal correlations for regions of similar dynamics. This is exploited by the parameter free statistical technique DINEOF (Data Interpolation with Empirical Orthogonal Functions) [Alvera-Azcárate et al. (2005) Ocean Modell.; Beckers et al. (2006) Ocean Sciences] to produce full weekly analysis of the variability of the sea surface temperature (SST) around Corsica and in the Ligurian Sea at weekly temporal resolution during the year 1998. A detection of outliers implemented in DINEOF analysis is tested for pointing out unusual or invalid SST data. This study is realised foreseeing a comparison of DINEOF weekly averaged reconstructed fields with those obtained by interpolating methods on the same dataset (Data Interpolating Variationnal Analysis and Optimal Interpolation schemes), and with outputs of an implementation of the GHER 3D model in this area. [less ▲]

Detailed reference viewed: 93 (24 ULiège)
See detailA web interface for griding arbitrarily distributed in situ data based on Data-Interpolating Variational Analysis (Diva)
Barth, Alexander ULiege; Alvera Azcarate, Aïda ULiege; Troupin, Charles ULiege et al

Conference (2009)

Spatial interpolation of observations on a regular grid is a common task in many ceanographic disciplines (and geosciences in general). It is often used to create climatological maps for physical ... [more ▼]

Spatial interpolation of observations on a regular grid is a common task in many ceanographic disciplines (and geosciences in general). It is often used to create climatological maps for physical, biological or chemical parameters representing e.g. monthly or seasonally averaged fields. Since instantaneous observations can not be directly related to a field representing an average, simple spatial interpolation of observations is in general not acceptable. Diva (Data-Interpolating Variational Analysis) is an analysis tool which takes the error in the observations and the typical spatial scale of the underlying field into account. Barriers due to the coastline and the topography in general and also currents estimates (if available) are used to propagate the information of a given observation spatially. Diva is a command-line driven application written in Fortran and Shell Scripts. The observations and parameters are specified by the user using text files. The analyzed field and the expected error variance are returned as NetCDF files. This form of interaction with Diva is very similar to other high-performance codes and is a familiar approach for ocean modelers. However it represents a steep learning curve for oceanographers from other disciplines not familiar with command-line applications and programming. To make Diva easier to use, a web interface has been developed (http://gher-diva.phys.ulg.ac.be). Installation and compilation of Diva is therefore not required. The user can directly upload his/her data in ASCII format and enter several parameters for the analysis. The analyzed field, location of the observations, and the error mask are presented as different layers using the Web Map Service protocol. They are visualized in the browser using the Javascript library OpenLayers allowing the user to interact with layers (for example zooming and panning). Finally, the results can be downloaded as a NetCDF file, Matlab file (also readable in Octave, an open source program similar to Matlab) and Keyhole Markup Language (KML) file for visualisation in applications such as Google Earth. [less ▲]

Detailed reference viewed: 72 (7 ULiège)
Full Text
See detailModelling the Cape Ghir Upwelling Filament
Troupin, Charles ULiege

Scientific conference (2008, December 12)

Detailed reference viewed: 10 (0 ULiège)
Full Text
See detailUsing Diva on large datasets: applications and tips
Troupin, Charles ULiege; Ouberdous, Mohamed ULiege; Lenartz, Fabian et al

Scientific conference (2008, October 16)

Detailed reference viewed: 21 (0 ULiège)
Full Text
See detailVorticity balance in the Northwestern African Upwelling
Troupin, Charles ULiege; Mason, Evan; Sangrà, Pablo

Poster (2008, October 06)

Detailed reference viewed: 12 (0 ULiège)
Full Text
See detailClimatology and circulation of the Azores-Canary region by Data-Interpolation Variational Analysis
Troupin, Charles ULiege; Machín, Francisco; Ouberdous, Mohamed ULiege et al

Poster (2008, June 02)

Detailed reference viewed: 19 (0 ULiège)
Full Text
Peer Reviewed
See detailVorticity balance in the Northwestern African Upwelling
Troupin, Charles ULiege; Mason, Evan; Sangrà, Pablo

Conference (2008, June 02)

Detailed reference viewed: 24 (0 ULiège)