Welcome back to AWIPS Tips! With this entry, we're going to touch on the topic of adding a new grib product into AWIPS. We'll be discussing updates that need to be made for both EDEX and CAVE in order to display your new data properly. In order to do this you need to be running your own EDEX server. Most of the recommendations and tips in this blog can be found in our documentation about ingesting new grid data.

If you are a student, educator, or researcher in the Earth Science community, your work probably involves a broad range of digital content — web pages, documents, photos, GIS data, instrument data, model data, etc. RAMADDA, the Repository for Archiving and MAnaging Diverse DAta, provides a place to manage all of this digital stuff.

RAMADDA makes it easy to manage all sorts of digital content, from documents and images to scientific data files in a variety of flavors. Data harvesting features allow the system to ingest available data and process spatial, temporal, and faceted metadata automatically for use in the system's search interface. Content can also be added to the system manually. And RAMADDA makes it easy to create engaging web interfaces to display the digital content using a wiki facility.

Version 1.3.0 of MetPy, a collection of tools in Python for reading, visualizing, and performing calculations with weather data, has been released. The project aims to mesh well with the rest of the scientific Python ecosystem, including the Numpy, Scipy, and Matplotlib projects, adding functionality specific to meteorology. This release includes a variety of fixes and minor updates, including dropping support for Python 3.7.

Welcome back to AWIPS Tips! This week we're diving into another way to display data in CAVE. We've gone over some of the more standard ways – through menu items, the volume browser, and the product browser. Today we'll discuss another option which is available to users: importing a shapefile. For those who aren't familiar, GIS stands for Geographic Information Systems, and is the discipline of creating, managing, and analyzing geographically referenced data. These data can represent both vector and raster features on a globe, and can be stored in a number of different file types. In CAVE, there is the option to import shapefiles, which contain points, lines, or polygons with associated attributes for each record.

Update: We are looking into a potential fix to allow Python2 to run on MacOS 12.3

We have recently learned of a new restriction when upgrading MacOS to Monterey version 12.3 that negatively impacts CAVE. The latest version of MacOS (and those going forward, we assume) no longer supports Python2. At this time, our Mac version of CAVE still uses Python2.7. Because of this, when running CAVE on the latest version of Monterey, a number of visualization features will no longer work (including Wind Vectors).