Register now to join this free virtual workshop to be held June 12, 2023!
As part of the NSF Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE) program's Virtual Consulting Office, Unidata MetPy developers Ryan May and Drew Camron will be leading an online workshop titled Realtime Weather Information Visualization using MetPy's Simplified Plotting Interface
Welcome back to AWIPS Tips! Today we're going to take a look at another python-awips example notebook. This notebook walks users through how to request, modify, and visualize Upper Air Sounding data that is originally in BUFR format. Similar to most of our example notebooks, this one begins by creating an EDEX connection and then setting the data type. In this example we use the corresponding bufrua data type to request the BUFR sounding data.
Version 1.5.0 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 brings a few new features, including the ability to plot fronts and boundaries with appropriate styling as well as parsing WPC surface bulletins.
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.
Version 4.6.1 of the netCDF-Fortran library is now available.
The netCDF-Fortran library version 4.6.1 requires the netCDF-C library version 4.9.0 or greater. This release brings refinements and bug testing, and improvements to quantize and zstandard support. You can find the full release notes and source downloads here:
Version 5.1.6 of the netCDF Operators (NCO) has been released. NCO is an Open Source package that consists of a dozen standalone, command-line programs that take netCDF files as input, then operate (e.g., derive new data, average, print, hyperslab, manipulate metadata) and output the results to screen or files in text, binary, or netCDF formats.
