Community Modeling and Analysis System
CMAS Community Modeling and Analysis System
Upcoming Training
- CMAQ Online Training: Oct 29, 2024
- SMOKE Online Training: Oct 15, 2024
CMAS Conference
23rd Annual CMAS Conference, October 21-23, 2024Conference Web Site | Register Now!
Latest Releases
- VERDI 2.1.5 (01/2024)
- SMOKE v5.0 (06/2023)
- All releases
Job Postings
- Air Quality Specialist (Air Quality Modeling/Emissions Inventory Unit) with South Coast Air Quality Management District, CA [APPLY]
[Read More] - Air Quality Modeler with GDIT [APPLY]
[Read More] - Emissions Modeler with GDIT [APPLY]
[Read More]
Help
If you need help compiling or running one of our supported products, try the following:
Step 1 Read Model Documentation
Step 2 Search the CMAS Forum
Step 3 Take a Training
News
CMAS Webinar: Use of NOAA's Global Forecast System Data in the Cloud for Community Air Quality Modeling
June 25, 2024 13:00 ETRegistration is required
Presenter: Patrick Campbell, George Mason University
Here we describe the novel NOAA-EPA Atmosphere-Chemistry Coupler (NACC) in the cloud ("NACC-Cloud") product (https://nacc.arl.noaa.gov/nacc/). NACC-Cloud on-demand processes NOAA's operational Global Forecast System version 16 (GFSv16) data, and outputs model-ready meteorological files needed for the widely used Community Multiscale Air Quality (CMAQ) model for any regional domain in the world. NACC is adapted from the U.S. EPA's Meteorology-Chemistry Interface Processor version 5 (MCIPv5), and was used as the primary model coupler for the operational National Air Quality Forecasting Capability (NAQFC). NACC-Cloud provides a web-based interface that can readily be used in the air quality modeling community for GFS-driven CMAQ applications. All of the NACC-Cloud development is based on the Amazon Web Services (AWS)-High Performance Computing (HPC) platform, specifically the AWS ParallelCluster v3.0. The main topics described in our presentation include 1) background on the GFSv16 and NACC software, 2) AWS-HPC environment and GFSv16 data in the cloud, 3) development and demonstration of the NACC-Cloud interface for the community, 4) examples of current applications of NACC-Cloud, and 5) future opportunities.
For more information, please visit the CMAS Webinars page.
Register Here
Note: We will record the webinar and post the recording to YouTube after the event.
CMAS Conference 2024: Call for Abstracts
Call for Abstracts
The 23rd Annual CMAS Conference will be held in-person from October 21-23, 2024. The CMAS Center is now accepting abstracts and registrations. We are excited to have the conference in-person this year and hosted by the UNC Institute for the Environment. Members of the CMAS community who wish to present at the conference need to register and submit their presentation title, brief description, and preferred session by Monday, July 1, 2024, to be considered.
Submissions will be sent to the respective session chairs for review. Presenters will be notified of their acceptance status on or after August 1, 2024. We will make every effort to include all reasonable submissions. If the presentation is accepted, the presenter will be asked to submit an extended abstract for publication on our website.
We will hold poster sessions on both Day 1 and 2.
The 23rd CMAS conference offers the following sessions, in addition to keynote talks on emerging topics, and a panel on state/local needs from the CMAS Center.
- Air Quality, Climate and Energy
- Air Quality Studies that focus on Environmental Justice
- Cloud Computing
- Emissions Inventories, Models, and Processes
- Leveraging Community Knowledge through CRACMM
- Machine Learning and Reduced Form Models: Developments and Applications
- Model Development
- Modeling to Support Exposure and Health Studies and Community-scale Applications
- Multiscale Model Applications and Evaluations
- Regulatory Modeling and SIP Applications
- Remote Sensing/Sensor Technology and Measurements Studies
- Wildfire Emissions and Air Quality
We may combine sessions depending on the number of submitted papers in each session.
The reduced Early Bird registration fees for the 23rd CMAS conference are $550 (Regular), $300 (Current students) by September 1, 2024. Normal registration fees are $650 (Regular) and $400 (Current students).
Volunteer opportunities available with complimentary registration
If you would like to volunteer in one of the following positions for the CMAS Conference, please contact cmas@unc.edu. Volunteer slots will be filled on a first-come first-served basis to meet requirements as needed. Preference given to current registered students with accepted abstracts.
- Communications / Social Media ambassador
- Conference Registrations / Session Timers
Important Links
Information for New Users
Welcome to CMAS! We are a community of environmental and air quality modelers. If you are interested in downloading CMAQ, SMOKE, BenMAP, or any of our other supported models, if you are looking for assistance with any of our supported models, if you are looking for a bibliography of air quality modeling related published works, or you are looking for an atmospheric modeling position, you've come to the right place!
The first thing you should do is create a CMAS user account. This will allow you full access to everything the site has to offer, including model downloads. Once you have a CMAS account, registering for our annual CMAS Conference or model trainings is a snap. Even if you change your email or address, you can easily edit your contact information (once you are logged in). All of your registrations and payment information can be found in your User Details on the top menu.
You can always use our search bar at the top to search within our site. You can always reach a CMAS team member with general CMAS-related questions (please no technical questions) by emailing cmas@unc.edu. And don't forget to read the latest issue of the CMAS Newsletter!
Supported Products
BenMAP is a Windows-based computer program that estimates the health benefits from improvements in air quality.
The Community Multiscale Air Quality (CMAQ) Modeling System combines current knowledge in atmospheric science and air quality modeling with multi-processor computing techniques in an open-source framework to deliver fast, technically sound estimates of ozone, particulates, toxics, and acid deposition.
CoST/EMF allows users to estimate the emission reductions and costs associated with future-year control scenarios, and then to generate emission inventories with the control scenarios applied.
C-TOOLS are a suite of web-based modeling and visualization tools for community scale modeling of local air quality.
The Fertilizer Emission Scenario Tool for CMAQ (FEST-C) system is used to simulate daily fertilizer application information using the Environmental Policy Integrated Climate (EPIC) model for a defined CMAQ domain.
The Input/Output Applications Programming Interface, otherwise known as the I/O API, is the standard data access library for EPA's Models-3 project. The I/O API provides a variety of data structure types for organizing data, and a set of access routines which offer selective direct access to data in terms meaningful to the modeler.
MCIP (Meteorology-Chemistry Interface Processor) is a processing program that takes in meteorological model outputs and prepares meteorological data needed by CMAQ.
The Research LINE-source dispersion model for near-surface releases (R-LINE) research grade dispersion model that is currently under development by EPA ORD for near-roadway assessments. R-LINE is a part of EPA ORD's ongoing evaluation of air quality impacts in the near-road environment. The research model is based upon a steady-state Gaussian formulation and is designed to simulate line type source emissions (e.g. mobile sources along roadways) by numerically integrating point source emissions.
The Sparse Matrix Operator Kernel Emissions (SMOKE) Modeling System allows emissions data processing methods to integrate high-performance-computing (HPC) sparse-matrix algorithms. The SMOKE system is a significant addition to the available resources for decision-making about emissions controls for both urban and regional applications. It provides a mechanism for preparing specialized inputs for air quality modeling research, and it makes air quality forecasting possible.
A collection of tools designed to create spatial surrogates for meteorological and air quality modeling without using GIS software.
VERDI is a Java program for visualizing meteorology, emissions, and air quality modeling data. With options for overlaying GIS Shapefiles and observational data onto model output, VERDI offers a range of options for viewing atmospheric modeling data. VERDI scripting provides a powerful interface for automating the production of graphics for analyzing your data.
Community Modeling and Analysis System (CMAS)
General inquiries about the CMAS Center and questions about the web site should be directed to cmas@unc.edu
