• Unidata is looking for a Software Developer Unidata is looking for a Software Developer
    February 20, 2019

    The Unidata Program Center is hiring! We are looking for a scientific software developer to join our team in creating and maintaining software and data services to support the geosciences.

    As part of the University Corporation for Atmospheric Research (UCAR) in Boulder, CO, Unidata offers competitive salaries and great benefits. UCAR was selected as one of the Best Companies to Work For in Colorado. Simply put, Unidata is a great place to work. Unidata's team environment provides high levels of autonomy and responsibility with great opportunity to excel individually and contribute to the team's success.

  • Python-Focused Software Training Workshop at Valparaiso University Python-Focused Software Training Workshop at Valparaiso University
    February 19, 2019
    Valparaiso University

    Valparaiso University in Valparaiso, Indiana will be hosting a Unidata Regional Software Training Workshop March 14-15, 2019. Unidata software developers will be leading the two-day Python-focused workshop, which will cover the use of the MetPy and Siphon packages in the context of atmospheric science.

    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 Valparaiso students and staff; we encourage those within easy travel distance to consider attending.

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Software News
Updates and other news about Unidata software packages

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.