29 April 2021
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.
[Read More]02 April 2021
The Unidata netCDF team is happy to announce the availability of netCDF 4.8.0 C library, now with Zarr support (nczarr)!
[Read More]A Proposal for Community Support of GEMPAK
02 March 2021
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.
[Read More]THREDDS Data Server (stable) / netCDF-Java (TDS Support) Version 4.6.16.1 Released
24 February 2021
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.
[Read More]28 January 2021
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.
[Read More]
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