ocean-eddy-cpt / gcm-filters

Diffusion-based Spatial Filtering of Gridded Data

https://gcm-filters.readthedocs.io/

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Link to AMS22 talk in the docs #129

Closed NoraLoose closed 2 years ago

NoraLoose commented 2 years ago

I'm giving a talk on GCM-Filters in the Python Symposium in next week's AMS meeting. This PR adds a link to my slides in the documentation. The slides are hosted here. Everyone on the JOSS Paper is a co-author on this talk. I may give a slightly shorter (12-min) version of these slides next Tuesday.

cc @rabernat @iangrooms @jbusecke @arthurBarthe @ElizabethYankovsky @gustavo-marques @jakesteinberg @asross @hmkhatri @sdbachman @LaureZanna @paigem

I have also invited Paige as a co-author on the JOSS paper and talk. Paige is working on implementing the B-grid vector Laplacian (#128), and is keen on contributing to GCM-Filters!

This PR also adds some badges to the documentation.

codecov-commenter commented 2 years ago

Codecov Report

Merging #129 (3ce5f80) into master (4e8cb78) will not change coverage. The diff coverage is n/a.

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  Coverage   98.41%   98.41%           
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  Hits          929      929           
  Misses         15       15

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unittests	`98.41% <ø> (ø)`

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rabernat commented 2 years ago

Nora these slides look SO fantastic! 🤩 Amazing work on communicating what gcm-filters is for.

LaureZanna commented 2 years ago

@NoraLoose : the slides are fabulous! A wonderful way to communicate the tool to a wider audience.

hmkhatri commented 2 years ago

@NoraLoose amazing slides.

NoraLoose commented 2 years ago

Thanks everyone - I'm happy you like the slides!

I will merge this PR early next week if I don't hear any complaints by then. That way we have the slides linked in the docs, in case people are interested to look at them after the python symposium.