• Unidata Welcomes New Committee Members Unidata Welcomes New Committee Members
    October 2, 2018
    New committee members

    The Unidata Program Center is pleased to welcome new members to the program's governing committees. Committee members serve three-year terms, meeting twice each year to provide feedback on the effectiveness of the Unidata Program and advise staff on issues facing the university community. Appointments reflect the range of large and small colleges and universities with undergraduate and graduate emphases where Unidata systems are in use.

    The UPC staff looks forward to working with our new committee members!

  • Successful Python-Focused Software Training Workshop at Jackson State University Successful Python-Focused Software Training Workshop at Jackson State University
    September 24, 2018
    JSU Workshop

    A Python-focused Unidata Software Training Workshop took place August 30-31, 2018, at Jackson State University. The workshop was sponsored by the Department of Chemistry, Physics, and Atmospheric Sciences (CPAS), and organized by Drs. Remata S. Reddy and the author, in collaboration with Unidata Program Center Staff. Topics covered included the use of Unidata's MetPy and Siphon packages, focusing on atmospheric science applications such as: Upper air data analysis and the Skew-T, making maps with Cartopy, working with surface data analysis, model data, satellite data, time series analysis and more.

Read more in the News@Unidata blog
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.