• AMS Short Course on Reproducible Atmospheric Science Workflows AMS Short Course on Reproducible Atmospheric Science Workflows
    December 12, 2017
    AMS

    Unidata community members Ivo Jimenez and Dr. Carlos Maltzahn from the University of California, Santa Cruz, along with Kevin Tyle from the University at Albany, will be presenting an AMS Short Course titled Reproducible Atmospheric Science Workflows Using Open Source Tools: An Introduction to the Popper Experimentation Protocol. The course focuses on an exciting new open-source toolset developed by researchers at UC Santa Cruz with specific tie-ins to reproducible workflows in atmospheric science modeling using the Weather Research and Forecasting model (WRF), both in research and the classroom.

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  • Reminder: Register for MetPy Short Course at 2018 AMS Annual Meeting Reminder: Register for MetPy Short Course at 2018 AMS Annual Meeting
    December 12, 2017
    AMS

    Unidata developers Ryan May and John Leeman, together with Kevin Goebbert from Valparaiso University, will be teaching a one-day short course titled “Python for Dynamical Meteorology Using MetPy” at the 2018 AMS Annual Meeting in Austin, Texas. The format of the course is like that of our larger Python workshop, relying on Jupyter notebooks to teach several core concepts. The crux of the course is to access remote data sets and use MetPy to perform analyses relevant to synoptic/dynamic meteorology. The goal is to go beyond the traditional introduction to Python and work on some concrete, meteorology-specific problems. As a result, familiarity with Python, NumPy, and Matplotlib is assumed.

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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.