The Python AWIPS Data Access Framework can be used to query available grid parameters and levels if given a known Grid name (as of AWIPS 15.1.3 we can not query derived parameters, only parameters which have been directly decoded).

This is Part 2 of a series of notebooks showing how to plot GINI-formatted satellite data from a THREDDS server using MetPy and Siphon. In Part 1 we covered how to access and parse the data file. In this part, we cover:

• Grabbing the data from the file
• Making sense of the projection information
• Plotting with CartoPy and matplotlib

This is the first of what we hope will be a series of posts showing how to use Python for weather analysis and create graphics for a variety of purposes. In this two-part post, we demonstrate plotting a water vapor satellite image, specifically using GINI formatted data. GINI is the format currently used for satellite data transmitted across NOAAPORT, and is available on Unidata's demonstration THREDDS server. This first part focuses on accessing the data using Siphon and MetPy; the second part will introduce plotting using CartoPy.

Unidata has developed a version of the IDV dubbed "CloudIDV." CloudIDV is designed for application streaming, allowing an instance of the IDV to be accessed via tablet, mobile phone, or even via a browser. These features are enabled through a fairly new technology called containerization. There are several containerization technologies in use; for CloudIDV we are using Docker.

If you direct your AWIPS II repo (/etc/yum.repos.d/awips2.repo) to point to https://www.unidata.ucar.edu/repos/yum/awips2-dev/ (rather than https://www.unidata.ucar.edu/repos/yum/awips2/) you can install the latest development build of AWIPS II (currently 14.4.1-5n13), which has limited support for MRMS (Multi-Radar/Multi-Sensor) products available as grids.