The Unidata THREDDS development team released netCDF-Java 5.5.2 on January 5th, 2022; this release addresses an issue discovered in version 5.5.1 for users running JDK 8. For more information, please visit the GitHub release page at https://github.com/Unidata/netcdf-java/releases/tag/v5.5.2. Artifacts from the 5.5.2 release can be obtained from our artifacts server following these instructions. ToolsUI and netCDFAll can be obtained from the downloads section of the Unidata website.
AWIPS 18.2.1-3 is a new release to both EDEX and CAVE (on Windows, MacOS, and Centos7/RHEL7). This release of EDEX has several new features and bug fixes including:
New GOES products
New version of LDM
GLM updates
Station ID updates
This release also has several CAVE updates including:
In response to vulnerabilities in the log4j library, the THREDDS development team has released new versions of the TDS 4.6.x and 5.x. TDS 4.6.19 and TDS 5.3 user log4j 2.17.0, and address CVE-2021-44228, CVE-2021-45046, and CVE-2021-45105.
The Unidata THREDDS development ream released netCDF-Java 5.5.1 on December 20th, 2021. In addition to several bug fixes and dependency upgrades, this is the first version of netCDF-Java that has read support for the Zarr data model. For more inforamtion, please visit the GitHub release page at https://github.com/Unidata/netcdf-java/releases/tag/v5.5.1.
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 December 10th, 2021. This release addresses a severe third party library security vulnerability. TDS 4.6.x administrators are encouraged to upgrade to version 4.6.18.
The THREDDS Data Server (TDS) version 5.2 release was announced on December 10th, 2021. This is a minor release that addresses a severe third party library security vulnerability.
The Unidata THREDDS Development Team released version 5.4.2 of the netCDF-Java/Common Data Model (CDM) library on August 27th, 2020. The 5.4.2 includes various bug fixes, dependency upgrades (some related to security), build/doc infrastructure changes, and updates/improvements to GRIB reading capabilities.
For the fall 2021 term, Unidata is once again offering to provide universities (or individual instructors) access to cloud-based JupyterHub servers tailored to the needs of university atmospheric science courses and workshops. By using the Unidata Science Gateway, instructors can add Jupyter notebooks used in their coursework to a dedicated JupyterHub hosted using Unidata's resources in the NSF Jetstream cloud. Once logged in to the JupyterHub, individual students access pre-configured computing environments that allow them to work with the notebooks interactively, making and saving their own alterations to existing notebooks or creating their own new notebooks.
Rio McMahon joined the Unidata Program Center on May 17th, 2021 as a Machine Learning Specialist. This is a new area of focus for the Unidata Program, and Rio will be helping to identify ways in which machine learning can be leveraged to support geoscience research.
A Nevada native, Rio earned his undergraduate degree from the University of Nevada, Reno before becoming a structural engineer. He plied his trade as a registered Professional Engineer in California before moving to Boulder to pursue a Master's degree in Aerospace Engineering at the University of Colorado. His thesis work involving multi-agent reinforcement learning led to his receiving his MS in May of 2021.
