• Python-Focused Software Training Workshop at Jackson State University Python-Focused Software Training Workshop at Jackson State University
    August 14, 2018
    Jackson State University

    Jackson State University in Jackson, Mississippi will be hosting a Unidata Regional Software Training Workshop August 30-31, 2018. Unidata software developers will be leading the Python-focused workshop, which will cover the use of the MetPy and Siphon packages in the context of atmospheric science. A basic familiarity with Python is assumed — check out the Unidata Online Python Training for a refresher.

    Unidata holds regional workshops in part to facilitate easy access to software training for those who may not be able to travel to training workshops held at the Unidata Program Center in Boulder, Colorado. Attendance is explicitly not limited to Jackson State students and staff; we encourage those within easy travel distance to consider attending.

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  • Register Now for the 2018 Software Training Workshops Register Now for the 2018 Software Training Workshops
    August 9, 2018
    Training

    Registration is open for Unidata's 2018 Software Training Workshop. The workshop features courses on Unidata's display and analysis packages MetPy, IDV, and AWIPS, as well as courses on data access and management tools including the Local Data Manager (LDM) and the THREDDS Data Server (TDS), and netCDF.

    The workshop will be held October 15 – 30, 2018. Individual courses last from one to three days.

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Software News
Updates and other news about Unidata software packages
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.