Dear Jim

I would suggest storing this information as a data variable, not designating
it as an auxiliary coordinate variable. It can still be identified all right
in the file by its standard name.

Cheers

Jonathan

----- Forwarded message from Jim Biard <[email protected]> -----

> From: Jim Biard <[email protected]>
> Date: Wed, 26 Feb 2014 10:30:12 -0500
> To: CF metadata <[email protected]>
> X-Mailer: Apple Mail (2.1827)
> Subject: Re: [CF-metadata] How to handle a forecast model with non-monotonic
>       coordinate variables
> 
> Hi.
> 
> If my auxiliary coordinate is measured, as opposed to computed (in a 
> trajectory or swath, for example), I may very well have a situation where I 
> have measurements of data where I don?t have a measurement of location.  If I 
> wish to preserve the data measurements, I need to able to have fill in my 
> auxiliary coordinate variables without fill in my data variables.  How will I 
> handle that given the proposed limitations?
> 
> Grace and peace,
> 
> Jim
> 
> Visit us on
> Facebook      Jim Biard
> Research Scholar
> Cooperative Institute for Climate and Satellites NC
> North Carolina State University
> NOAA's National Climatic Data Center
> 151 Patton Ave, Asheville, NC 28801
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> o: +1 828 271 4900
> 
> 
> 
> 
> On Feb 26, 2014, at 5:18 AM, Hedley, Mark <[email protected]> 
> wrote:
> 
> >> We could modify this to: 
> >> "Allowed for auxiliary coordinate variables but not allowed for coordinate 
> >> variables.  Missing data is only permitted in auxiliary coordinate 
> >> varirables only at points where the data variable(s) concerned has missing 
> >> data."
> > 
> > I would support this, I think there are use cases where missing data at the 
> > 'same location' in the data array and an auxiliary coordinate array is 
> > valid and sensible.
> > 
> > Rich's case is clearly valid.  I have a couple more which I can illustrate 
> > in further detail as we pursue this requirement.
> > 
> > mark
> > 
> > ________________________________________
> > From: CF-metadata [[email protected]] on behalf of Signell, 
> > Richard [[email protected]]
> > Sent: 18 February 2014 21:01
> > To: Gregory, Jonathan
> > Cc: CF metadata
> > Subject: Re: [CF-metadata] How to handle a forecast model with 
> > non-monotonic coordinate variables
> > 
> > Jonathan,
> > 
> > In the very last comment in ticket #85
> > (https://cf-pcmdi.llnl.gov/trac/ticket/85) you say:
> > 
> > "In the "Description" column of Appendix A, in the entries for
> > _FillValue andmissing_value, replace "Not allowed for coordinate data
> > except in the case of auxiliary coordinate varibles in discrete
> > sampling geometries." with "Allowed for auxiliary coordinate variables
> > but not allowed for coordinate variables."
> > 
> > This would seem to allow missing values in auxilliary coordinates for
> > grid datatypes, which is what we need for the use case I presented.
> > 
> > We could modify this to:
> > "Allowed for auxiliary coordinate variables but not allowed for
> > coordinate variables.  Missing data is only permitted in auxiliary
> > coordinate varirables only at points where the data variable(s)
> > concerned has missing data."
> > 
> > Thanks,
> > Rich
> > _______________________________________________
> > CF-metadata mailing list
> > [email protected]
> > http://mailman.cgd.ucar.edu/mailman/listinfo/cf-metadata
> 

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