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ldeo-glaciology / LEAP-Cryo-planning

A repo for planning and tracking progress on the LEAP-Cryo project: Learning ice-sheet flow with physics-based and machine learning models.
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Use PyGMT to Plot TG data #16

Open Templar129 opened 1 year ago

Templar129 commented 1 year ago

Using PyGMT as a tool to plot TG data could give us more beautiful plots which also makes it easier to tell the change in elevation, speed, and other parameters by a glance. But PyGMT is not quite a familiar tool for me, and I will use the tutorial on the website and Andrew gave me to practice it on the TG data.

jkingslake commented 1 year ago

@hoffmaao has a fork here containing some examples of how to load the data. We should make a PR and merge this fork when you are happy with the notebook.

Templar129 commented 1 year ago

Thank you so much for this tutorial. I think the notebook is quite good. I find there are two datasets missing for the code to run. I think these two datasets are not included in the folder. russell_ds=xr.load_dataset('../data/bed/IRTIT3_20110413_Russell.nc') humboldt_ds=xr.load_dataset('../data/bed/IRTIT3_20130420_Humboldt.nc') If you are available, could you upload these two datasets to the repo or I can download them manually if they are too large to upload. Once again, thanks for the notebook, these plots look quite beatiful.