Short Courses enable you to increase your skills and knowledge in your chosen area of expertise or learn about another. Short courses take place Saturday and Sunday, 21-22 January 2017, prior to the Annual Meeting. Click on a course name to learn more.
This course provides a gentle introduction to Python for the atmospheric scientist, specialized to the needs of the field.
The growing availability of cloud-based computational power has made possible new data exploration and machine learning techniques. This course will present steps of a data exploration and implementation of machine learning techniques using recently developed cloud based tools.
Please join us for this short course designed to introduce users to the new capabilities made possible by NOAA’s next generation GOES-R Series Advanced Baseline Imager (ABI), Geostationary Lightning Mapper (GLM), and Space Weather instruments, for improved environmental intelligence, forecasts, and warnings.
This short course applied the new generation JPSS capabilities to a variety of operational forecasting scenarios. Participants had an opportunity at hands-on experiences using Suomi National Polar-orbiting Partnership (NPP) data.
Please join us for this short course designed to introduce and discuss all aspects of setting up and operating a meteorological mesoscale network. Well over a dozen states have some form of a mesonet already in place, providing critical real-time weather information to a variety of sectors, including emergency management, agriculture, utilities, and transportation among others.
This one-day course will break down the barrier by combining the knowledge of scientists at Argonne National Laboratory (who lead the Python-ARM Radar Toolkit project) and experts at Amazon.
All short course/workshop attendees must register and wear a badge/ribbon. Short course/workshop registration is not included in the 97th Annual Meeting registration, and short course/workshop registration does not include registration for the 97th AMS Annual Meeting.