• Reminder: Register for MetPy Short Course at 2018 AMS Annual Meeting Reminder: Register for MetPy Short Course at 2018 AMS Annual Meeting
    December 12, 2017
    AMS

    Unidata developers Ryan May and John Leeman, together with Kevin Goebbert from Valparaiso University, will be teaching a one-day short course titled “Python for Dynamical Meteorology Using MetPy” at the 2018 AMS Annual Meeting in Austin, Texas. The format of the course is like that of our larger Python workshop, relying on Jupyter notebooks to teach several core concepts. The crux of the course is to access remote data sets and use MetPy to perform analyses relevant to synoptic/dynamic meteorology. The goal is to go beyond the traditional introduction to Python and work on some concrete, meteorology-specific problems. As a result, familiarity with Python, NumPy, and Matplotlib is assumed.

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  • VR Demos of Hurricane Irma at AGU VR Demos of Hurricane Irma at AGU
    December 7, 2017
    Hurricane Irma
    Hurricane Irma

    Will virtual reality become a useful tool for the atmospheric sciences? If you're attending the American Geophysical Union annual meeting (December 11-15, 2017 in New Orleans, LA), be sure to drop by the UCAR Community Programs booth in the exhibition hall for some virtual reality demonstrations showing both observational and forecast data from hurricane Irma, which barrelled through the Caribbean in September 2017.

    Unidata staff members Ward Fisher and Jeff Weber have been working with scientists at the Geological Survey of the Netherlands to figure out how to use netCDF datasets in the Survey's virtual reality system. Together with software developers from the research organization TNO in the Netherlands, this group has put together a visualization of hurricane Irma that can be can be investigated and manipulated (i.e. thin sliced, filtered, scaled, etc.) in real-time by multiple users with HTC Vive devices.

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Data

The Unidata Program center makes a wide variety of near-real-time and archive geoscience data and model output available to the university community. See the Data page for an overview of the available data types and access methods.

Real-time Model Output

Data visualization tools available from Unidata and elsewhere allow you to create dynamic displays of past, current, or forecast scenarios. This display shows a dynamically-selected Region of Interest culled from a regional weather model.