• A JupyterHub for the Unidata Community A JupyterHub for the Unidata Community
    February 14, 2019
    Jupyterhub

    The Unidata Program Center is pleased to announce the availability of a JupyterHub server tailored to the needs of the atmospheric science community. Using resources provided by the National Science Foundation's Jetstream cloud-computing platform, Unidata's JupyterHub server is intended to serve as a demonstration of a notebook-based workflow for geoscience activities. After preliminary testing in a variety of situations including workshop and classroom use, Unidata staff are looking to expand beta-testing of the server to the wider community.

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  • Unidata Program Center Welcomes Howard Van Dam Unidata Program Center Welcomes Howard Van Dam
    February 8, 2019
    Howard Van Dam
    Howard Van Dam

    Howard Van Dam joined the Unidata Program Center (UPC) team on January 14 2019 as a Software Engineer. A Colorado native, he has explored the wonders of the state from the highest mountains to the eastern plains.

    Howard started out studying music at University, but switched to electronics and electrical engineering as a way to provide an income while continuing to enjoy performing in jazz, classical, and musical theatre settings. He received a Bachelor of Science in Computer Science from the University of Colorado after completing degrees at Pikes Peak and Front Range Community Colleges. Howard also holds a CompTIA Security+ certification and is passionate about all things cybersecurity.

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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.