Remote data access tutorial for CMIP6 Zarr data

[weiji14]

Draft tutorial on accessing cloud-native CMIP6 datasets on Google Cloud. Covers opening Zarr files using xarray.open_zarr. Also did a basic sea level change (between 2015 and 2100) calculation and plot to show the result.

Tutorial adapted from https://colab.research.google.com/drive/19iEVxE_9QoTeg4st7MmucHJUmO93NXHp?usp=sharing#scrollTo=4M8ypd9jOzh9

Might pay if a sea level rise expert double checks if the calculation is ok. I feel like the results still differ from what's shown at the IPCC interactive map

Fixes #103.

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[dcherian]

@jbusecke would you mind doing a review here?

[jbusecke]

Nice example @weiji14

Might pay if a sea level rise expert double checks if the calculation is ok. I feel like the results still differ from what's shown at the IPCC interactive map

Not a sea level expert at all, but the fact that this is only one experiment might explain the discrepancy. I would be happy to extend this example for more models/members (similar to what I have done for Scipy and which will be further developed in this repo).

Also reading in the data is shown nicely here, but it is only one of many ways (this really needs some improvement from our side). A suggestion would be to point to the official pangeo docs for the data, so that if we update this in the future this example points to the updated methodology?

[dcherian]

Thanks for the review @jbusecke

I would be happy to extend this example for more models/member

I think not necessary here; we could just link to your efforts at easy_ipcc (cool repo name btw). The goal is demo cloud access, and do some simple calculation.

suggestion would be to point to the official pangeo docs for the data,

Yeah this would be great! I think the xarray-tutorial should illustrate concepts and point out to any other resource we can.

[jbusecke]

That all sounds great!

[jbusecke]

(cool repo name btw)

Obvi that was @TomNicholas s idea, cause I am not the best name-giver...

[weiji14]

Thanks @jbusecke for the review (again)! Felt like it was too much of a coincidence that you've reviewed this PR and the PyOpenSci/PyGMT one on the same day, haha.

I would be happy to extend this example for more models/member

I think not necessary here; we could just link to your efforts at easy_ipcc (cool repo name btw). The goal is demo cloud access, and do some simple calculation.

Yes, looking at the ensemble is always nice, but probably a bit overkill for this tutorial. Thanks for the link to https://github.com/jbusecke/easy_ipcc though! Will be very helpful if I ever need to reproduce any of those plots!

suggestion would be to point to the official pangeo docs for the data,

Yeah this would be great! I think the xarray-tutorial should illustrate concepts and point out to any other resource we can.

Ok, I've pointed to the Pangeo/ESGF Cloud Data Working Group documentation link in 5711d9e. Hopefully that's ok.

Oh, and the notebook has also been added to the table of contents at 5711d9e. Let me know if any more changes are needed!