Jessica Souza

During my internship, I worked with the Unidata THREDDS team. My intentions this summer were to learn Java, improve my coding skills, and have experience using it in real world applications. I began my journey by converting existing unit tests for the netCDF-Java library, which is tightly linked to the THREDDS Data Server (TDS) code, to the JUnit Java testing framework. Once I got this practice with Java and had a working development environment, I was able to start working on my summer project.

The netCDF-Java ucar.nc2.util.DiskCache2 class method for generating unique file names is capable of producing identical names if called in quick succession. While the circumstances under which the problem occurs are very specific (and rare), because the possibility of data corruption exists the development team strongly recommends that anyone using netCDF-Java/CDM or TDS upgrade immediately.

Hailey Johnson

by Hailey Johnson
2018 Unidata summer intern

During my time here at Unidata, I’ve focused on extending the THREDDS Data Server (TDS) web interface and services. I spend the first few weeks of the summer redesigning the interface to be more intuitive to end users and implementing UI changes using Thymeleaf HTML templating. The new TDS catalog pages are designed with a “plug-and-play” structure, allowing users to override or insert their own contributed HTML, which is processed by a server-side Thymeleaf template resolver.

As we approach the first public beta of version 5.0 of the THREDDS Data Server (TDS), we have decided to revisit our software license. Currently, both NetCDF-Java and the TDS are released under the same license that the netCDF C library uses, which is a license that was "home grown" at UCAR. It's usually called an "MIT-style license," though it is perhaps more similar to the BSD-3 Clause license. Rather than continue to use the "home grown" license, we will be moving to a standard, off-the-shelf BSD-3 license, bringing the TDS and NetCDF-Java packages more in line with standard practice within the Open Source community.

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