Community Modeling and Analysis System

Introduction to the Community Multiscale Air Quality Model (CMAQ)

Register

Availability | About the Course | Meet the Trainers | Payment Info | Registration | Hotels | Prerequisites | Contact info


Availability

The table below lists the dates of the upcoming Introduction to CMAQ classes along with the enrollment status in each class. When enrollment is full (15 registered students) we will no longer accept applications for the class and the status column in the table will display that the class is full.

The class is subject to cancellation if there are not enough registered students. A minimum of 6 trainees must be registered to conduct a training.

The Introduction to CMAQ course can also be conducted off site, provided that appropriate facilities are available and there are an adequate number of interested students. Email cmas@unc.edu to inquire about off-site trainings.

Dates Status Space Left Price  
Oct 24 - Oct 25, 2019 at the CMAS Training Facility Open 14 seats $650 (regular) / $500 (student) Register Now

About the Course

Introduction to CMAQ is a 2-day course that uses lectures and hands-on computer exercises to teach students how to run the CMAQ programs and examine input and output files from the software. The class covers topics including CMAQ terminology, how to set up and reconfigure different modeling domains, nested simulations, and multi-day simulations. Problem-solving exercises challenge the students to integrate the lessons that they had previously learned in the class to complete more advanced modeling tasks.

The syllabus is shown below to highlight the range of topics covered during the course. The course starts with a lecture on the basics of CMAQ, including an overview of air quality modeling, an introduction to the CMAQ programs, and a description of the course structure. The Hands-on laboratories have each student working on a computer pre-loaded with the course training materials. The labs focus on configuring and building the CMAQ programs, examining the input and output files, and running the programs to give students practical experience using CMAQ. The advanced topics lecture during day 2 of the training provides an overview of modeling diagnostic and evaluation topics, such as sensitivity modeling and statistical performance evaluation. The class concludes with a problem solving lab that emulates a real-world modeling task. The students are presented with a set of modeling data and a brief description of the modeling task. Where the previous labs included step-by-step instructions on how to set up and run the different CMAQ programs, in the Problem Solving Case Study each student is challenged to run CMAQ with help from the lessons learned in the previous labs, the instructor, and their fellow students.

At the completion of this course, students will be able to download, configure, compile, and run the CMAQ programs. They will possess the knowledge and practical experience needed to prepare input files for CMAQ and to produce CMAQ output.

2-day CMAQ Course Syllabus
Day 1 Day 2
8:30 - 9:45 CMAQ Basics8:30 - 8:45 Review
9:45 - 10:00 Break8:45 - 9:45 Hands-on CCTM Lab Part II
10:00 - 10:30 Hands-on Overview Lab9:45 - 10:00 Break
10:30 - 11:30 Hands-on BCON Lab10:00 - 12:00 Hands-on Nesting Lab
11:30 - 12:15 Hands-on ICON Lab12:00 - 1:00 Lunch
12:15 - 1:15 Lunch1:00 - 1:45 Hands-on Multiday/Restart Lab
1:15 - 2:00 Hands-on JPROC Lab1:45 - 2:45 Advanced CMAQ Topics Lecture
2:00 - 3:30 Hands-on MCIP Lab2:45 - 3:00 Break
3:30 - 3:45 Break3:00 - 4:30 Hands-on Problem Solving Case Study
3:45 - 5:00 Hands-on CCTM Lab Part I4:30 - 5:00 Questions and Answers (Overlap)

Meet the Trainers

Adel Hanna

Adel Hanna, PhD Research Professor and Director, Center for Environmental Modeling for Policy Development

Dr. Adel Hanna is an Environmental Scientist whose primary appointment since 2003 is a Research Professor and Director of the Center for Environmental Modeling for Policy Development (CEMPD) of the Institute for the Environment at the University of North Carolina at Chapel Hill (UNC). Dr. Hanna is also the director of the Community Modeling and Analysis System (CMAS) Center, an EPA funded center hosted at UNC since 2003. He is also an adjunct professor at the department of Marine, Earth and Atmospheric Sciences at North Carolina State University. Dr. Hanna's personal research has for the last 40 years or so focused on atmospheric physical and chemical processes with particular interests in air quality modeling, climate dynamics and impacts of extreme weather and air quality on human health. His early research focused on modeling short-term climate variability in association with El Nino development using global spectral models. He has been a Principal Investigator on a number of projects to analyze air quality, and climate variability impacts on health in the United States and abroad.

Liz Adams

Liz Adams, MS Research Associate, Center for Environmental Modeling for Policy Development

Ms. Adams has over 10 years of experience in model applications, model evaluation, and debugging support to developers of air quality modeling systems. Ms. Adams prepares model documentation, and performs web-based software management, software installation and testing across multiple platforms (Linux, Mac OS X, and Windows) to support public release of the Visualization Environment for Rich Data Interpretation (VERDI) tool. Ms. Adams has installed the Sparse Matrix Operator Kernel Emissions (SMOKE) training software, data and ancillary software tools to a compute server on the Amazon Web Services (AWS) Elastic Compute Cloud (EC2) for an online SMOKE training course. Ms. Adams is experienced with using Python, QGIS, Panoply, IDV, VERDI, the Atmospheric Model Evaluation Tool (AMET), and Ncview to visualize and analyze NetCDF data from the CMAQ modeling system and comparing the results to data from the observational networks. She supports the CMAS Statistical and Graphical Analysis Tools training course by preparing, testing and porting input data and scripts for VERDI and AMET to the Virtual Computing Laboratory environment, preparing and delivering classroom lectures, and providing hands-on training support to students.

Payment Info

The 2-day course includes all training materials, the current CMAQ Training Manual, access to experienced CMAQ modelers, snacks, and beverages. Payment is accepted with check, credit card, or purchase order. Note that you are asked to make the payment or initiate the payment process (e.g. by providing the purchase order number) at the time of registration. We will send you a receipt by email to confirm the receipt of the registration and payment. If you find later that you are unable to attend to the class after registration, notify the CMAS Center as soon as possible. Please see our Payment Info page for our refund policy.

Registration

Register online to sign up for a CMAS training classes.

Prerequisites

A basic knowledge of air quality modeling concepts will help students to get the most out of this course. The course covers air quality terminology and very basic general air quality concepts, but the focus is mostly on the operational details of CMAQ. A background in air quality will provide context for the need for gridded air quality models.

Knowledge of the Linux command line language and the C-shell are also prerequisites for this course. Students with a working understanding of navigating Linux directory structures, viewing/editing text files, and executing commands from a Linux command prompt will benefit more from this class than students with no Linux experience.

Contact Information

For more information on the CMAQ training, please contact Brian Naess at 919-966-9925 or email cmas@unc.edu.