AWIPS Tips: AWIPS Full Beta Release v23.4.1-0.4
23 October 2024
Welcome back to AWIPS Tips!
AWIPS 23.4.1-0.4 is a beta release, with both EDEX and CAVE installation options.
This release (building upon previous versions 23.*) includes a major upgrade for the operating system, running on Rocky 8 Linux – which is a free Red Hat Enterprise Linux (RHEL) distribution for EDEX and linux based CAVE.
[Read More]Jim Steenburgh Receives 2024 DeSouza Award
21 October 2024
Jim Steenburgh from the University of Utah has been awarded the 2024 Russell L. DeSouza Award by the NSF Unidata Users committee. The DeSouza Award honors “substantive and sustained contributions of energy and expertise to the geosciences community that reflect the ideals of the NSF Unidata Program's mission” to better serve the geosciences.
A recording of the award ceremony and talk is available on the Unidata Seminar Series page.
[Read More]2024 Community Equipment Awards
01 October 2024
NSF Unidata is happy to announce the Community Equipment Award recipients for 2024. Created under the sponsorship of the U.S. National Science Foundation, NSF Unidata equipment awards are intended to encourage new members from diverse disciplinary backgrounds in the geosciences to join the NSF Unidata community, and to encourage existing members to continue their active participation, enhancing the community process.
[Read More]NSF Unidata Staff Honored with AGU Open Science Recognition Prize
18 September 2024
Several current and former NSF Unidata Program Center staff members have been recognized with the American Geophysical Union's 2024 Open Science Recognition Prize for their work as part of a team of Major Contributors to the CF Conventions.
[Read More]netCDF vs Zarr, an Incomplete Comparison
09 September 2024
At NSF Unidata, we have been supporting and developing netCDF standards and packages since the original release of netCDF in 1990. We strongly believe in the usefulness of netCDF Common Data Model for Earth Systems Science data, and for other types of data! NetCDF files can be used efficiently in machine learning modeling applications and can be used as a virtual Zarr datasets.
NSF Unidata has been urged by our community to investigate options to allow netCDF to work more easily with modern cloud-based infrastructure. Based on the strong interest and rapid adoption of Zarr by the community, the netCDF team decided to begin working with the Zarr community to ensure that these two widely used data storage mechanisms can interoperate if necessary.
[Read More]
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