Do you know someone in the Unidata community who has been actively involved and helpful to you and other Unidata members? Perhaps this is someone who volunteers to assist others, contributes software, or makes suggestions that are generally useful for the community.
The deadline for nominations has been extended to 11 June, 2021.
Welcome back to **AWIPS Tips**! Today's tip is all about many of the display capabilities in CAVE. When forecasting, you're looking at geographic scales ranging from hemispheric to local, and datasets such as surface and upper-air observations, numerically predicted forecasts from any number of different models, and potentially many others. In CAVE, you can create and label any number of editors to best suit your forecasting needs.
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.
