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.
Welcome back to AWIPS Tips! Today we're exploring data visualization with CAVE. Forecasts aren't made from a single product alone-- it's the synthesis of many products that make forecasts robust. CAVE makes it easy to visualize many different datasets using overlays, visibility toggles, panes, and more.
Hi from the AWIPS team at Unidata, Tiffany Meyer and Shay Carter, and welcome to AWIPS Tips! AWIPS is a free meteorological software package for analyzing and displaying weather data. We're kicking off a biweekly blog series called AWIPS Tips, dedicated to highlighting the capabilities of Unidata AWIPS for research and education. Each series entry will showcase a small task or ability of AWIPS and be archived on the AWIPS Tips blog tag.
Today we're sharing an overview of the capabilities of AWIPS.
Version 4.9.8 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.
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.
Version 4.9.7 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.
The NCO project is coordinated by Professor Charlie Zender of the Department of Earth System Science, University of California, Irvine. More information about the project, along with binary and source downloads, are available on the SourceForge project page.
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.
