[MITgcm-support] Inquiry About Post-Processing for [tutorial_global_oce_latlon] Example

[Martin Losch]

I also recommend xmitgcm and xgcm, but they have a steep learning curve (at least for me).

For simple (and relatively small) setups, I still often use the MITgcmutils. The main function is “rdmds.py”, which allows you to read the data/meta pairs as numpy arrays. After than, it’s the usual visualization in python with pcolormesh/contour/quiver or whatever. There’s some information here: https://mitgcm.readthedocs.io/en/latest/utilities/utilities.html including some sample scripts/excerpts.

Martin

> On 25. Nov 2024, at 14:43, Takaya Uchida <tu22 at fsu.edu> wrote:
> 
> Xgcm (https://xgcm.readthedocs.io/en/latest/) and xmitgcm (https://xmitgcm.readthedocs.io/en/latest/) provide good tutorials on this matter of post-processing the outputs in Python.
> 
> Best,
> Takaya
> 
> 
>> On Nov 25, 2024, at 8:38 AM, 박주룡 <itts9904 at snu.ac.kr> wrote:
>> 
>> Dear MITgcm Team,
>> 
>> I hope this email finds you well.
>> 
>> While exploring tools for my research and studies, I came across the MITgcm code, and I am truly impressed by its capabilities and the effort that has gone into its development. I am eager to learn more about it and apply it to my work.
>> 
>> I recently ran the tutorial_global_oce_latlon example from the verification cases, and it seems to have executed successfully, producing the expected output files. However, I would like to request guidance on how to proceed with post-processing these results.
>> 
>> Specifically, I am interested in visualizing fields such as velocity using Python and MITgcmutils. Could you kindly provide any example scripts or references that could help me get started with this type of analysis?
>> 
>> Your assistance would be greatly appreciated as I work to better understand and utilize the output data from MITgcm simulations.
>> Thank you for your time and support. I look forward to your response.
>> 
>> Best regards,
>> 
>> 박주룡 JURYONG PARK
>> Nuclear Energy System Laboratory
>> 서울시 관악구 관악로 1, 서울대학교
>> Mobile 01091737043 
>> Email  itts9904 at snu.ac.kr <mailto:itts9904 at snu.ac.kr>
>> 
>> 
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> 
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