The MetPy development team is looking for anyone who has used MetPy to take the 2023 MetPy Users Survey. The survey should only take approximately 5-10 minutes and is completely anonymous.
Welcome back to AWIPS Tips! Today we are going to look at how to load two separate image products on the same layer. This is called "Image Combination."
The University of Wisconsin-Milwaukee Atmospheric Science Program used a Unidata Community Equipment Awards grant to deploy a server that hosts, among other things, a local The Littlest JupyterHub instance. Since its deployment in August 2021, the server, data received through Unidata's IDD network, and the local JupyterHub instance have supported student training and development in four Atmospheric Science courses and through UW-Milwaukee's Innovative Weather student traineeship program.
The Unidata Users Committee is seeking nominations for a Graduate Student representative to join the group of university faculty members who serve on this committee. Nominees should be Graduate Students who use Unidata software, hold a strong interest in the Unidata program, and have an interest in learning how a community-based program like Unidata is governed. Nominations may be made by any community member, and self-nominations are acceptable. This position will be for a two-year term beginning with the fall 2023 Users Committee meeting.
Machine Learning systems are often configured around Graphics Processing Units (GPUs) rather than Central Processing Units (CPUs). Why should this be the case, in an era when CPUs are powerful and (relatively) inexpensive? This article provides some insights into what GPUs are and why they provide advantages for certain types of computations, including some commonly used for machine learning and modeling.
If you are running your own EDEX and have a shapefile that you use consistently, instead of having to manually import it in CAVE, we'll show you how to import it into the maps database and then add it to the Maps menu.
There are a lot(!) of free online resources available if you want to learn practical machine learning skills, workflows, and processes. This post highlights some recommendations by Thomas Martin, an AI/ML Software Engineer at the Unidata,
AWIPS 20.3.2-0.2 is a beta release of CAVE. Great news, we've added installers for MacOS and Windows as well as made updates to the Linux and virtual machine option.
Unidata is governed by its community. Our governing committees facilitate consensus-building for future directions of the Unidata Program and establish standards of involvement for the community. Direct involvement in the Program by the academic community helps Unidata stay on top of trends in Earth Systems Science education and research; for example, recent initiatives on Python and cloud-based computing have benefited tremendously from committee advice and involvement.
We are looking for creative people at U.S. universities and colleges who are using Unidata products and services — or who are familiar with Unidata — to help guide the program in addressing the needs of our broadening community. We need the insights of active educators and researchers to spot new opportunities and take advantage of the expanding range of scientific data. We're looking for help identifying new tools and services — along with improvements to our existing offerings — that will advance the scientific and educational goals of the community.
Today we're going back to CAVE and look at the purpose of different pane displays. The Unidata distribution of CAVE is defaulted to the 1-Pane layout, and the National Weather Service (NWS) version defaults to the 5-pane layout. We will also go over the differences between panes, panels, and editors.
