[ncl-talk] triple2grid
Manisha Ganeshan
manisha.ganeshan86 at gmail.com
Thu Aug 7 15:56:09 MDT 2014
Hello,
I'm trying to use the *natgrid* function in a manner similar to the
*triple2grid*, i.e. basically to interpolate onto a lat lon grid. In my
case, the advantage of the *natgrid* function over *triple2grid* is that
multiple neighborhood (randomly spaced) observations can be utilized for
interpolating onto a map.
I figured I will have to convert the lat lon coordinates to 1D cartesian
(X,Y) coordinates in order to use *natgrid*. This is however easier said
than done, because my map domain is over the north pole (60 to 90 N), which
means my *xo* and *yo* (output X, Y grid dimensions) will have to be 2D.
*natgrid* currently requires 1D arrays for the same. Any suggestions for a
work around?
Thanks,
Nisha
On Mon, Aug 4, 2014 at 9:17 AM, Dennis Shea <shea at ucar.edu> wrote:
> Not that I am aware of. Sorry.
>
>
> On Fri, Aug 1, 2014 at 4:10 PM, Manisha Ganeshan <
> manisha.ganeshan86 at gmail.com> wrote:
>
>> Thanks, Dennis. Is there a function that calculates the mean or saves the
>> total number of nearest neighbor source points for each grid point in the
>> destination grid?
>>
>> Regards,
>> Nisha
>>
>>
>> On Fri, Aug 1, 2014 at 6:03 PM, Dennis Shea <shea at ucar.edu> wrote:
>>
>>> It does not calculate the mean. New 'nearest neighbor' values overwrite
>>> previous values.
>>>
>>>
>>> On Fri, Aug 1, 2014 at 3:59 PM, Manisha Ganeshan <
>>> manisha.ganeshan86 at gmail.com> wrote:
>>>
>>>> Hello,
>>>>
>>>> I have a question about the *triple2grid* function. The description
>>>> says that the function does not perform interpolation but instead assigns
>>>> each unstructured (source) data point to the nearest grid point
>>>> (destination). How does it treat multiple unstructured data points (source)
>>>> that have a common nearest grid point (destination)? Does it calculate the
>>>> mean value (after ignoring missing values)?
>>>>
>>>> Thanks,
>>>> Nisha
>>>>
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>>>
>>
>
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