Blog post comparing climatology approaches

[hCraker]

Closes #214

During the (Re)Introduciton to ESDS event, an attendee asked for a comparison between using xarray.resample and xarray.groupby to compute climatology averages vs the geocat.comp method of doing these calculations. This PR adds a jupyter notebook to the 2022 blog posts. It also adds the dataset used in the example.

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[hCraker]

This is my first blog post for ESDS. Is there anything that I need to do to get the post to show up on the blog page? Currently when I click on the ReadTheDocs build for this branch, my post isn't visible

[dcherian]

Line #4.        time=range(1, None)

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[dcherian]

Is there anything that I need to do to get the post to show up on the blog page?

You'll need to add author, title, and date metadata. Look at #159 (comment) or an existing notebook for the syntax.

xref #160

[hCraker]

Thanks for all of the reviews.

@katiedagon

The xarray operation for seasonal means I'm most familiar with is the following: ds.groupby('time.season').mean()

It could be worth checking if that's the same as ds.resample(time='QS-DEC').mean().groupby('time.month').mean() which is what you're using for the unweighted version.

It's been so long since I did this computation the incorrect way, that I orgot groupby('time.season') was possible. I'll switch to that. Because of this, the difference might be smaller than 3C @dcherian

Thanks for all the spelling help! It turns out I'm useless without autocorrect and spellcheck @rmshkv

[dcherian]

Thanks @hCraker This is now rendering on RTD 👏

But something's wrong with linking to the image:

[hCraker]

Thanks @hCraker This is now rendering on RTD 👏

But something's wrong with linking to the image:

Ah I was afraid of that. Let me look into this more. I haven't ever added static images to a notebook

[hCraker]

@dcherian @katiedagon I've added a mask and fixed the rendering issues. I think we are good to go!

[katiedagon]

Looks great to me, thanks @hCraker!