Everyone has been really excited about exploring the incredibly high resolution GOES-16 imagery that is now available in an experimental capacity. We host some of this data on out THREDDS test server and it can be ingested with siphon and plotted in Python! In this week's MetPy Monday we'll go over how to use interactive widgets to select the region and channel to plot and produce images from the data.
Wow! We've had a very active couple of weeks in the Atlantic and I wanted to break the planned series of MetPy Monday posts with a bit of timely data analysis and some interesting animations. The new (and still experimental/non-operational) GOES-16 satellite has provided us with some incredible views of hurricanes Harvey and Irma, and likely will with Jose as well.
Last Monday was a big day for folks in the geoscience and astrosciences — the 2017 total solar eclipse! Many of those on the Unidata team made the drive to be in the path of totality, where the sun was completely blocked for a period of up to two and a half minutes. In this MetPy Monday post, we will take a look at some animations made in Python and posted by the team just after the eclipse.
Unidata developers Ryan May and John Leeman, together with Kevin Goebbert from Valparaiso University, will be teaching a one-day short course titled “Python for Dynamical Meteorology Using MetPy” at the 2018 AMS Annual Meeting in Austin, Texas.
Whether you caught Monday's solar eclipse from the totality zone, from your back yard, on the Internet, or skipped the whole thing, you might find a couple of things folks at Unidata have put together interesting. A big plus: no driving or traffic jams involved!
Read on to learn how to view the path of the moon's shadow across the continental United States in the IDV, and see some animations of the eclipse created with the MetPy package.
