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NASA-Openscapes / earthdata-cloud-cookbook

A tutorial book of workflows for research using NASA EarthData in the Cloud created by the NASA-Openscapes team
https://nasa-openscapes.github.io/earthdata-cloud-cookbook
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Identify alternative dataset for notebook using ICESat-2 #85

Open erinmr opened 2 years ago

erinmr commented 2 years ago

Notebook with similar work -> https://gallery.pangeo.io/repos/pangeo-gallery/physical-oceanography/02_along_track.html

JessicaS11 commented 2 years ago

Just wanted to point to a few other resources for some of this: icepyx has PRs under review for a few themes that might reduce workload for ICESat-2 data access r.e. this issue and a few others (also tagging @betolink). PR#213 adds basic ICESat-2 cloud data access via icepyx (though admittedly it probably needs some updates now that the s3 urls are actually available via the CMR metadata; it hasn't been merged because it's been waiting for review by someone with beta access to ICESat-2 data in the cloud). PR#200 expands Earthdata login options to manual, .netrc, or through environment variables. I'd have to check in with @tsutterley for finalizing. PR#222 is a draft PR for data read-in capabilities. It currently is set up for local data, but I set up the infrastructure with cloud data access in mind. If nothing else, it should provide a good framework for generically reading in ICESat-2 data using Xarray. I'd be happy to try and fastlane any and all of these ongoing efforts to push a new release that includes these features and makes them available for workshop tutorials/the cloud cookbook.

betolink commented 2 years ago

Those PRs look great @JessicaS11 !! I think @andypbarrett is going to use Icepyx for ICESat-2 access on the hack-week.. I guess we need to update the title of this issue. We'll use the NSIDC-hosted version of the data since our cloud access will not be really open to a wider audience until at least next year(sad emoji).

I can take a look at the PRs early next week if you like. We were just talking at NSIDC how to put more time in supporting community efforts like Icepyx, specially to deal with our internal DAAC APIs.