The CMAS Center offers semiannual training classes on atmospheric modeling and analysis
topics. While the classes focus on the operational aspects of CMAS-supported software, they combine modeling practice
with lectures on the underlying theories and science. Classes are always offered in conjunction with our annual CMAS Conference
and include at least one additional class each spring (usually April).
The following training classes are currently available from the CMAS Center:
CMAS trainings consist of classroom sessions and hands-on computer laboratory sessions. All of the hands-on training material use the Linux Operating System. A working knowledge of the Linux command line is a prerequisite for these classes. Although a basic introduction to Linux Commands is included with the course materials, it is more intended as a cheat sheet than a tutorial of Linux. Students who do not know the Linux command line well must learn the basics on their own before attending the class. A search of the web yields many options for free Linux tutorials. The UNIX/Linux tutorial from the University of Surry, UK is a good example of a Linux primer.
Most trainings are offered at the CMAS Training Facility in Chapel Hill, NC USA. You will be notified if there is a change in venue for the class for which you are registered. The CMAS training facilities include laptops for each student that are preconfigured with the training materials.
Training courses can also be conducted off site, provided that appropriate facilities are available and there are an adequate number of interested students. Email firstname.lastname@example.org to inquire about off-site trainings. Please include a brief explaination of how the CMAS Center can help you meet your training needs.
|None are currently scheduled. Contact email@example.com for more information on CMAQ.|
|None are currently scheduled. Contact firstname.lastname@example.org for more information on SMOKE.|
|January 9-January 15, 2017 at the Online
Statistical and Graphical Analysis Tools
|None are currently scheduled. Contact email@example.com for more information on the Statistical and Graphical Analysis Tools class.|