One of the most common support questions we get regarding MetPy is why temperature calculations fail. As it turns out, temperature units are a bit strange as they have an offset relative to an absolute value and a scaling factor. Learn how to properly handle temperature in your calculations with this week's MetPy Monday!
MetPy 0.6.0 has been released. This release has a wide collection of new features as well as minor bug fixes, including several contributions from our community. For full release notes see the GitHub Release Page.
Siphon 0.6.0 has been released. This includes some bug fixes and improvements, including support for access to the University of Wyoming upper air data archive (ported from MetPy). For full release notes see the GitHub Release Page.
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.
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.
Last week we looked at how to create a simple base map with Cartopy. In this week's MetPy Monday, we learn about contouring a field on the map and some of the idiosyncrasies of cyclic points. In the end, we will have a plot of the globe with the Coriolis parameter contoured. You can use this functionality to create height maps and more!
We'll start off with importing the tools we will use: matplotlib, MetPy calculations, MetPy units, and numpy. We're also using the magic %matplotlib inline so figures show up in the notebook instead of in separate windows.
