html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/2697#issuecomment-686576870,https://api.github.com/repos/pydata/xarray/issues/2697,686576870,MDEyOklzc3VlQ29tbWVudDY4NjU3Njg3MA==,10219352,2020-09-03T15:37:47Z,2020-09-03T15:37:47Z,NONE,"This just popped up in my inbox and reminded me of the conversation I had with @rabernat<https://github.com/rabernat> a few years back at a DRAKKAR meeting in France.

I haven't really kept up with things since then, but 6+ years ago we modified one of our python tools to abstract the IO method from the user by using NCML files as input. Then either the mfdataset or the unidata Java Netcdf library was used to access local or remote data (single file, directory or aggregation). As there wasn't any native NCML parser in python, and we had limited time, we ended up using pyjnius<https://github.com/kivy/pyjnius> to call the netcdf java class from python which gave us access to the directory scan, aggregation functions etc from the Java Library.... probably not the most efficient way - but we've been using it ever since. I don't have a huge amount of time (or expertise), but happy to get involved if I can.


________________________________
From: Ryan Abernathey <notifications@github.com>
Sent: 03 September 2020 15:47
To: pydata/xarray <xarray@noreply.github.com>
Cc: Harle, James <jdha@noc.ac.uk>; Mention <mention@noreply.github.com>
Subject: Re: [pydata/xarray] read ncml files to create multifile datasets (#2697)


Thanks for reviving this @huard<https://github.com/huard>!

FWIW, I think it's best for this sort of utility to live in its own small standalone package, which I have referred to as ""xarray-mergetool"" in the past. NCML could be one special case of the things it could it. It would also be very useful for intake-esm.

We have also discussed this in NCAR/esm-collection-spec#12<https://github.com/NCAR/esm-collection-spec/issues/12>

We should have some bandwidth to work on this over the next year via the pangeo-forge project.

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