Given the small area covered by the 2x2 tiles at 1km resolution.
I think it would be just fine to compute a local 4kmx4km arithmetic
average. The grid center would the mid point of the
lat and lon used.
On 10/23/12 11:09 AM, Dennis Shea wrote:
> I have no experience with "Daymet" tiled data.
>
> My guess is that you will have to regrid *each* 2x2 tile with 1km data
> onto a 'mega grid' at 4km. Given the nature of the data. I would
> suggest that ESMF' conservative method be used.
>
> This will mean many regrid weight files.
>
> D
>
> On 10/23/12 11:02 AM, Mary Haley wrote:
>> Ping,
>>
>> We had a scheduled power down of our systems last weekend, but when we
>> powered things back up, one of the ESG disk drives failed. I believe
>> you can't download *any* versions of NCL right now.
>>
>> Once this is fixed, we hope to release V6.1.0, which should be
>> downloaded instead of 6.1.0-beta.
>>
>> --Mary
>>
>> On Oct 23, 2012, at 9:32 AM, Ping Yang wrote:
>>
>>> Hi Dennis,
>>>
>>> I tried to download the NCL 6.1.0 Beta installation file but
>>> currently it is not available. I will try another time. When will the
>>> NCL 6.1.0 Release version come out?
>>>
>>> Now I am struggling with a dataset "Daymet" which have been tiled
>>> into every 2*2 degree file at 1 km resolution. I need to do two
>>> things: regridding them to 4km resolution and transformating them to
>>> lat/lon. I am wondering which will be a better way to regrid:
>>> 1)I found each file for this data is different in the grid size, Can
>>> I use the same weight file(defined by the resolution?) for each small
>>> file regridding and then merge then as a one file?
>>> 2)Merge the file first and regriding them as a whole(the data size
>>> will be several GB)
>>>
>>> Looking forward to hearing from you.
>>>
>>> Regards,
>>>
>>> Ping
>>>
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Received on Tue Oct 23 14:12:31 2012
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