[Nsa] Fwd: [ESDS] An Easier Entry Point to Using WRF Data with Xarray

[Matthew Long]

Dear NSA,
See this week's ESDS blog post on reading WRF data with Xarray below.

Interested in joining the conversation?
- You can join the ESDS Google Group here
<https://groups.google.com/a/ucar.edu/g/esds/about?pli=1>.
- And our Zulip Organization here
<https://zulip2.cloud.ucar.edu/join/cpmjckwqjdhqwkm5q4hfo5ac/>

Matt

-------------------------------------------
Matthew Long

Schedule a meeting with me: calendly.com/matt-long

Scientist II, Oceanography Section
Climate and Global Dynamics Laboratory
National Center for Atmospheric Research
303.497.1311 (W)
650.575.7784 (M)
http://www.cgd.ucar.edu/staff/mclong


---------- Forwarded message ---------
From: Max Grover <mgrover at ucar.edu>
Date: Fri, Oct 15, 2021 at 2:59 PM
Subject: [ESDS] An Easier Entry Point to Using WRF Data with Xarray
To: ESDS <esds at ucar.edu>


Hi All and Happy Friday!

Interested in using Xarray and Dask to work with the Weather Research and
Forecasting (WRF) model? Check out this week's ESDS blog post highlighting
a new xarray backend, called xwrf <https://github.com/NCAR/xwrf>, which
helps with reading these data directly into Xarray! In the post, we provide
an overview of what exactly an Xarray backend is, how to read in the data,
and a tutorial on how to create an interactive visualization of the data,
all within your Jupyter notebook!

Link to the post
<https://ncar.github.io/esds/posts/2021/xarray-wrf-example/>

Here is a preview of the interactive plot displayed at the end of the
notebook:
[image: xarray_wrf_blog_post.gif]

Thanks,

Max Grover

-- 
https://ncar.github.io/esds
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