[ncl-talk] Plotting trajectories from CF-1.6 discrete sampling geometries

[Dennis Shea]

The core NCL developers will have to answer to get a definitive answer.

Numerous NCL graphical functions are COARDS/CF-convention aware.
For sure,  there is no 'awareness' of the convention you mention.

[1] "it should be easily readable by NCL."

I see no reason why NCL could not read the variables. If they are
written by the netCDF software, why could they not be read?

[2] "Does NCL have some function to decode the discrete sampling
geometries described in CF-1.6?"

There is no explicit functionality that I am aware of. However, I
think an NCL-based library could be created and distributed with NCL.
The issue is .... Who creates and supports the library? Personally,
this is the 1st time I have seen the convention you mentioned.

Orthogonal multidimensional array
Incomplete multidimensional array
Contiguous ragged array
Indexed ragged array
etc

Examples?

Cheers
D



On Fri, Aug 28, 2015 at 2:07 AM, Heiko Klein <Heiko.Klein at met.no> wrote:
> Hi,
>
> we're currently defining a netcdf format for storing our trajectories
> and consider CF-1.6 'Discrete Sampling Geometries' as a good basis to
> write the data:
> http://cfconventions.org/Data/cf-conventions/cf-conventions-1.6/build/cf-conventions.html#discrete-sampling-geometries
>
> Since we would like to plot the data later, too, it should be easily
> readable by NCL. Does NCL have some function to decode the discrete
> sampling geometries described in CF-1.6? I guess the 'orthogonal
> multidimensional arrays' just works since all the data is in
> standard-arrays. What about the other representations?
>
> Best regards,
>
> Heiko
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