AWIPS 18.2.1-1 is a major update to both EDEX and CAVE (on Windows, MacOS, and Centos7/RHEL7). The linux awips_install.sh script has been updated to remove old versions of CAVE and EDEX before installing new versions and backup some /awips2 configuration files.
The Integrated Data Viewer (IDV) version 6.0 is available now. This is a major release and is recommended for all users.
IDV 6.0 includes a new version of the OpenJDK Java distribution, version 5.4.2 of the netCDF-Java library, and enhanced application certificates and notarization. Enhancements to the IDV display include better grid coverage and cross-boundary subsetting, a enhanced volume rendering features, better text/HTML display, improved image capture quality, and more.
Version 1.0.1 of MetPy is now available. MetPy is a collection of tools in Python for reading, visualizing, and performing calculations with weather data. 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.
The Unidata program has been providing the geoscience community with access to and technical support for the GEMPAK software package for nearly thirty years. This post describes the current circumstances surrounding Unidata's support for GEMPAK, and suggests some possible future actions to ensure continued community access to this resource.
The Unidata THREDDS Development Team released an updated version of the THREDDS Data Server (TDS) (and bundled netCDF-Java/Common Data Model (CDM) library) on February 23rd, 2021. This release contains a variety of bug fixes, as well as updates to third-party libraries, including security updates. A summary of changes, download links, and links to Docker Images can be found on the 4.6.16.1 GitHub release page.
Version 1.0 of the MetPy collection of tools in Python for reading, visualizing, and performing calculations with weather data was released on December 22, 2020. MetPy provides tested, reusable Python components suitable to a wide array of tasks common in meteorological and atmospheric science applications, including scripted data visualization and analysis. In adding this functionality, MetPy aims to mesh well with the broader scientific Python ecosystem — widely used projects including Numpy, Scipy, Matplotlib, xarray, and others.
Version 1.0 of MetPy is now available. MetPy is a collection of tools in Python for reading, visualizing, and performing calculations with weather data. 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.
While MetPy has been around as an Open Source project since 2008, development resources have been limited, and version 1.0 is the first stable release. The word “stable” here does not imply that previous 0.x releases were not robust — MetPy has been in wide use for quite some time now — but rather that the development team has reached a stage where they are confident in promising to keep the software API stable until the next major release. This promise of API stability should give MetPy users confidence that the code they write using MetPy will continue to work unaltered for a significant period of time.
The Unidata THREDDS Development Team released version 5.4.1 of the netCDF-Java/Common Data Model (CDM) library on December 17th, 2020. The 5.4.1 release includes the first look at the public API, support for building with Java 11 - 14, and support for accessing data from object storage, such as AWS S3.
