[Seavox] Categorisation of models as data production tools

[de Margerie, Sylvain]

The list provided by Jenny are non-exclusive terms, that is in my experience and also accounting for future evolution multiple of these descriptors could be used.   This would be the most flexible way of using such syntax.  I do note that tighter definitions are likely needed on all items.   It would likely be useful to think of model classification along themes, for example:

Geometry: regular grids (discrete cells with same geometry), conformal grids (retains orthogonality of axis in each cells), irregular triangular grids (TIN), basis functions (spectral),...  different geometries might apply to different dimensions (e.g. horizontally regular grids with basis function for the vertical,...)

Solution Approach: FE, FD, stochastic, FE with stochastic nudging, particle, particle in cell,...

Boundary/initial condition:  Forecast (initial and boundary conditions only), hindcasts (assimilates data, there are many ways of doing this), ensemble averaged (many mode runs each with different perturbations are averaged),...

Dependent variables:  Z and T (i.e. a stratification model); X, Z and T (e.g a cross-section); X, Y and T (e.g. a baroclinic tide or storm surge model);

Independent variables: Sal, Temp, Ro, DO, SSC,....

 

Therefore I would propose that a nomenclature system rather than just a list of key words.  

 

Regards,

Sylvain de Margerie 

Director of Integrated Science Data Management 
Ocean Sciences & Canadian Hydrographic Service 
Fisheries and Oceans Canada 

Directeur de la gestion des données scientifiques intégrées 
Sciences océaniques et Service hydrographique du Canada 
Pêches et Océans Canada 

É 613 990 0265 
Ê 613 993 4658 
? 200 Kent Street 12W083   Ottawa, ON   CANADA, K1A 0E6 
¿ Sylvain.deMargerie at dfo-mpo.gc.ca <mailto:Sylvain.deMargerie at dfo-mpo.gc.ca>  

 

From: seavox-bounces at mailman.nerc-liv.ac.uk [mailto:seavox-bounces at mailman.nerc-liv.ac.uk] On Behalf Of Andrew, Jennifer A.M.
Sent: June 12, 2012 4:35 AM
To: Lowry, Roy K.; ontgov at mailman.nerc-liv.ac.uk; sdn2-tech at seadatanet.org; seavox at mailman.nerc-liv.ac.uk
Cc: Rob Louws
Subject: Re: [Seavox] Categorisation of models as data production tools

 

Hi Roy,

 

as an alternative approach:

1.       linear

2.       non-linear (including chaotic)

3.       stochastic

4.       deterministic

5.       mesh free

6.       adaptive grid

 

Jenny

 

From: seavox-bounces at mailman.nerc-liv.ac.uk [mailto:seavox-bounces at mailman.nerc-liv.ac.uk] On Behalf Of Lowry, Roy K.
Sent: 12 June 2012 09:12
To: ontgov at mailman.nerc-liv.ac.uk; sdn2-tech at seadatanet.org; seavox at mailman.nerc-liv.ac.uk
Cc: Rob Louws
Subject: [Seavox] Categorisation of models as data production tools

 

Dear All,

 

I am planning to extend the SeaDataNet L05 vocabulary (that will at some stage pass to SeaVoX governance) to provide the ability to discover numerical model output through the 'instrument' search facet.  There is increasing pressure to do this from a number of sources, including the NETMAR semantic resource.

 

What I need for this is a set of between 5 and 10 model classification terms designed to tag numerical model output datasets (several tags may be applied to a single dataset) to facilitate their discovery as instruments.  If anybody knows where such a list could be found or would like to propose candidate terms (either individually or a complete set) it would be much appreciated.

 

Cheers, Roy.  

 

Please note I now work part-time and may not respond to e-mail from Friday to Monday.

 

 

 


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