Closed rabernat closed 3 years ago
This includes how to track Lagrangian particles
Using the examples found here, I've figured out how to run pyqg
and advance Lagrangian particles. I've been able to make short animations using run_with_snapshots
, but I'm still wrangling with FFMpeg to export movies. Right now I have it set up so that you can display Matplotlib animations as a JavaScript widget within the notebook. This is size prohibited and I'd ideally like to get xmovie
working. I'm having some CI issues with xmovie
and cartopy
.
Here are some fun screenshots of the animations showing particles and velocity vectors plotted on top of the PV anomaly field in the upper layer.
Next step involves tweaking the QG model to mimic Zhang et al. (2020) and identifying RCLVs with floater.
This is fantastic! Great work!
Now that you have spun up a bit, I think this might be a good time to reach out to Wenda to get the precise settings he used for his experiments. Do you agree?
Yes, absolutely. If he could make his code available to us that would certainly be helpful.
I reached out to Wenda via email. Now we are just waiting to hear back.
Today we talked about some of the nuances of visually identifying LCS in pyqg
. At first, I was drawn to taking an Eulerian view of the PV anomaly field; however after animating the particle paths I can see the coherency aspect more clearly (snapshot below).
Using same configurations as Zhang
https://pyqg.readthedocs.io/