[MITgcm-support] regional zooming method

Marshall Ward marshall.ward at anu.edu.au
Mon Sep 23 18:39:35 EDT 2013


ahh... email client mixup, sorry folks...

On Tue 24 Sep 2013 07:30:54 EST, Marshall Ward wrote:
> Andrey, would it be OK to send me the nqstat_anu.c code? I would be
> interested to see how it works out the groups.
> Thanks
>
> On Mon 23 Sep 2013 18:05:56 EST, Martin Losch wrote:
>> Hi Matt,
>>
>> looking for a model with variable grid resolution? See here
>> <http://www.awi.de/en/research/research_divisions/climate_science/climate_dynamics/news/>
>>
>> (Just kidding).
>>
>> Without too much experience myself, the limitation of a zoomed mesh
>> is obviously the aspect ratio of the largest to the smallest grid
>> size that you can achieve with this, and the that the time step will
>> be determined by the smallest grid cell (CFL) in your domain. (That's
>> actually the issue that the people behind the above link have all the
>> time. Great resolution where you need it, but also enormously small
>> time steps where you don't want them)
>>
>> As far as I know there is no perfect nesting, and again the ratio
>> between the grid cells of coarse and fine mesh is very limited, maybe
>> even more than in the zooming approach.
>>
>> Martin
>>
>> On Sep 20, 2013, at 7:02 PM, Matthew Mazloff <mmazloff at ucsd.edu> wrote:
>>
>>> Hello
>>>
>>> I would like to zoom in on a region of my domain and am looking for
>>> some advice on how to best do this.
>>>
>>> I have used telescoping where DX and DY are vectors but would prefer
>>> something better as this is not ideal far away from the region
>>> where, e.g., DX is still small but DY becomes large
>>>
>>> So it seems my two choices are coming up with a mesh or nesting.
>>>
>>> For the mesh case I assume the model cannot handle two cells
>>> becoming one on a cell wall…is this correct? Has anyone been
>>> successful in coming up with a mesh of quadrilaterals that zooms in
>>> on a region. I know the mesh can be derived, by successful I mean
>>> that the model output looks physical.
>>>
>>> For nesting -- has anyone had success with 2-way nesting? Is
>>> nesting_sannino the place to start? Any pitfalls I should be aware of?
>>>
>>> Thanks
>>> Matt
>>>
>>>
>>>
>>> _______________________________________________
>>> MITgcm-support mailing list
>>> MITgcm-support at mitgcm.org
>>> http://mitgcm.org/mailman/listinfo/mitgcm-support
>>
>>
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>
>
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