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This doesn't work yet but I think I need some help.
I'm using https://medium.com/pangeo/fake-it-until-you-make-it-reading-goes-netcdf4-data-on-aws-s3-as-zarr-for-rapid-data-access-61e33f8fe685 and https://gist.github.com/rsignell-usgs/ef435a53ac530a2843ce7e1d59f96e22 to create a MultiZarr dataset.
I've tried reading the files as netcdf directly but above about 100, it's really slow and it's probably really slow to do any computation with them.
The last step of creating a combined json file is not working. Any bright idea is welcome.

@@ -0,0 +1,2712 @@
{
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@aidanheerdegen aidanheerdegen Dec 16, 2021

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"is stored as on Open"

"To The name of"


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done

@review-notebook-app
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Check out this pull request on  ReviewNB

See visual diffs & provide feedback on Jupyter Notebooks.


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3 participants