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.
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.