Question about visualization for unstructured grid data

[lfu]

Hi,

I created a global-scale case using the following command:

./create_newcase --case ~/global_simulation/I2000_CTSM_global_b2_spinup --res f09_g17 --compset I2000Clm50BgcCrop --project UCHU0001 --run-unsupported

In the grid-level output (e.g., the GPP variable with 2D dimensions: time and gridcells), I noticed that the number of gridcells does not match lat × lon, which suggests it might be an unstructured grid format. As a result, I cannot directly plot the data using the contourf function in Python.

I assume this is a common issue. What methods do you use to solve it and visualize these variables? Do you have an example code snippet that could help?

Looking forward to your insights.
Thank you.

 

[slevis]

When I look at one of my own f09 cases, I see 2D output (lat x lon). This makes me suspect that you may have set hist_dov2xy to .false. in the namelist. If you want 2D output, change this to .true.

 

[lfu]

When I look at one of my own f09 cases, I see 2D output (lat x lon). This makes me suspect that you may have set hist_dov2xy to .false. in the namelist. If you want 2D output, change this to .true.

That is really helpful. Thank you.