Unidata is governed by its community. Our governing committees facilitate consensus-building for future directions of the Unidata Program and establish standards of involvement for the community. Direct involvement in the Program by the academic community helps Unidata stay on top of trends in Earth Systems Science education and research; for example, recent initiatives on Python and cloud-based computing have benefited tremendously from committee advice and involvement.

We are looking for creative people at U.S. universities and colleges who are using Unidata products and services — or who are familiar with Unidata — to help guide the program in addressing the needs of our broadening community. We need the insights of active educators and researchers to spot new opportunities and take advantage of the expanding range of scientific data. We're looking for help identifying new tools and services — along with improvements to our existing offerings — that will advance the scientific and educational goals of the community.

Welcome back to AWIPS Tips!

Today we’re going back to CAVE and look at the purpose of different pane displays. The Unidata distribution of CAVE is defaulted to the 1-Pane layout, and the National Weather Service (NWS) version defaults to the 5-pane layout. We will also go over the differences between panes, panels, and editors.

The Unidata netCDF team is happy to announce the availability of netCDF 4.9.2 C library.

This release has a handful of bug fixes, and allows for out-of-the-box support for HDF5 1.14.0. Next up, the netCDF team is working on releases for the Fortran and C++ interfaces, as well as working with Unidata's TDS/NetCDF-Java team to ensure that we do not introduce any divergences between the capabilities of netCDF Java and the C library.

Version 5.1.5 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.

Version 1.4.1 of MetPy, a collection of tools in Python for reading, visualizing, and performing calculations with weather data, has been released. 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. This is a bug fix release for MetPy v1.4.0.