Re: Interpolation of climate model data

Hi Mary,

Thanks for the enlightenment :-) I truly appreciate it.
I understand now how it works :-) I would recommend adding your comment to
the website where these functions are explained.

/M

On Fri, Aug 16, 2013 at 8:31 PM, Mary Haley <haley@ucar.edu> wrote:

> Hi Martson,
>
> I agree, this is confusing, and I always have to stop and think about it.
>
> For both functions, this option should only be set to True if you have
> global data, but your longitude values don't go completely from -180 to 180
> or 0 to 360.
>
> For example, maybe they go from -178.5 to 178.5, or 0.5 to 359.5. That's
> when you need to set fiCyclicX to True.
>
> If you have regional data, or if your longitude values wrap completely
> around the globe, set this to False.
>
> What happens internally when you set this option to True is that an extra
> point is created in the longitude direction so there's no gap.
>
> --Mary
>
> On Aug 16, 2013, at 7:50 AM, Marston Johnston wrote:
>
> > Hi,
> >
> > Sorry for the rookie question but i've been testing some of the various
> interpolation techniques such as, area_hi2lores, and linint2, to basically
> go between high and low resolutions, in both directions. In using these
> functions there is a common argument that I
> > don't quite understand, i.e., fiCyclicX, which basically asks if the
> function should treat the longitude as cyclic. I don't understand why this
> is needed and what the ramifications are if I set it True contra False. Is
> there some documentation where this is discussed or could someone explain
> > how this argument affects the data?
> >
> > Kindest regards,
> > /M
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>

-- 
Only the fruitful thing is true!

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Received on Fri Aug 16 12:45:03 2013