NMFS Friday HackHours 4/9: Accessing Argo buoy data with argopy and xarray

[eeholmes]

@nmfs-openscapes/2026-jupyterhub

NMFS Friday HackHours 4/9 @ 12pm PT.
Register for Zoom Link (only need to do once for the whole spring series): https://zoom.us/meeting/register/r-Zx5bztTdyylSEHe4Snug
Webpage: https://nmfs-opensci.github.io/NMFSHackDays-2026/

4/9 will be an introduction to getting Argo data with the Python argopy package and reading with xarray. I will cover getting data from https://www.aoml.noaa.gov/argo using the argopy. The format of Argo data, how to filter to just surface data (or other depths), how to do a big data query in batches and save intermediate netcdfs.

Open to all (in and out of NOAA) so feel free to share link.

[eeholmes]

I added an example of how to replicate what argopy does with R; just the data munging that we did.
https://nmfs-opensci.github.io/NMFSHackDays-2026/topics/2026-04-10/bgc-argo-r.html

Getting the data off ERDDAP is easy, but argopy has a "standard" user mode that creates "science-ready" data for non-experts by making various QC choices for us. The R example shows how you can back-engineer that.