• Welcome SOARS Intern Briah Davis Welcome SOARS Intern Briah Davis
    July 11, 2017
    Briah\' Davis

    Briah' Davis joined the Unidata Program Center as a SOARS summer intern on May 30, 2017. This fall Briah' will be a senior at the University at Albany, SUNY, where she is majoring in Atmospheric Science and Computer Science with a minor in Mathematics.

    SOARS, Significant Opportunities in Atmospheric Research and Science, is an undergraduate-to-graduate bridge program at UCAR designed to broaden participation in the atmospheric and related sciences. The program is built around research, mentoring and community. SOARS participants, called protégés, spend up to four summers doing research in atmospheric and related sciences. This is Briah's second summer in the program and her first at Unidata.

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  • MetPy Mondays! MetPy Mondays!
    July 10, 2017
    MetPy Mondays

    Welcome to MetPy Mondays, the Unidata Program Center's weekly series on using the Python programming language in the atmospheric and related sciences. Join your host (and UPC developer) John Leeman, along with a rotating cast of other Python developers, for a series of short blog posts and videos on using Python to get your science done.

    The series, hosted over on the Unidata Developer's blog, will bring you bite sized tutorials (always less than 10 minutes) with tips, tricks, and advice on getting up and running with Unidata Python software. The first (released on July 3, 2017) and second (released today) installments deal with installing and using the Python environment and package manager Conda. Future installments will tackle topics like dealing with unit conversion in MetPy, making maps, and displaying satellite data.

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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.