Re: Interpolation of climate model data

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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Received on Fri Aug 16 12:31:13 2013