The CMAS Center hosts regular webinars about important air quality-related topics as a way to keep the CMAS community up-to-date and informed. Webinar topics will range from introductions of new model releases to best practices to advanced modeling techniques. All seminars will be free and open to the public and will feature a 20-30 minute presentation followed by a question and answer session.
How to Connect
CMAS webinars will use the Zoom platform. If you have not connected to a Zoom meeting on your browser before, you will need to install a plugin when you connect. If you'd like to test your system prior to the start of the webinar, visit the Zoom Test Meeting to view system requirements and get set up.
If you are getting set up as the meeting starts, after you start the Zoom client, you may be asked for the event number. The event number is listed for each event. Or, you can return to this page and click the Join button again.
Linux users: Check out their Linux Install page
Have A Webinar Topic?
If you'd like to suggest a topic for a webinar, or if you would be willing to give a webinar presentation on a topic that would be of general interest to the CMAS community, please contact CMAS by email at email@example.com.
Event Number: 652-565-875
An Introduction to Reduced-Complexity Models for Air Quality
Presenter: Prof. Peter Adams, Carnegie Mellon University
Chemical transport models (CTMs) are the gold standard for predicting how changing emissions will influence future air quality. However, they are computationally intensive, meaning that only a limited number of scenarios can be simulated in detail. Furthermore, they require considerable expertise, limiting the communities of researchers that can assess how emissions changes will affect ambient concentrations of air pollutants and human health. Reduced-Complexity Models (RCMs) fill this gap by providing tools that are better suitable for screening and uncertainty analyses and useable by policy and energy systems analysts that lack resources and expertise to use CTMs.
This training will provide an introduction to three RCMs now publicly available for air quality assessments: APEEP, EASIUR, and InMAP. We will summarize the inner workings and assumptions in each of these models. We will demonstrate where to obtain these models, introduce how to use them, including how to adjust assumptions about dose-response and economic valuation. An intercomparison of the results of the models will be summarized.
Event Number: 862-765-866
What is new in AMET V1.4
Presenters: Wyat Appel and Robert Gilliam, Atmospheric and Environmental Systems Modeling Division in EPA's Office of Research and Development (ORD)
The Atmospheric Model Evaluation Tool (AMET) (Appel et al., 2011) is a suite of software designed to facilitate the analysis and evaluation of meteorological (e.g. WRF, MPAS) and air quality models (e.g. CMAQ, CAMx). AMET pairs model output with corresponding observed values for a variety of regional and global meteorological and air quality networks. These paired model/observations are then used to generate summary statistics and graphically analyze the model's performance using analysis scripts provided in AMET.
A new version of AMET (version 1.4) was released in August 2019 containing a number of updates from the previous version (1.3). Some of these updates include:
- Simplified process for adding new AQ networks/species
- New interactive HTML R plots using the leaflet and dyGraphs R packages
- Added support for global TOAR and NOAA ESRL networks
- Ability to process and analyze AQ data without the database present
- Improved batch scripting for AQ analysis
- New WRF/MPAS upper-air rawinsonde, surface shortwave radiation, and PRISM rainfall analyses
- New 2-m moisture time series comparison with RH
- Site metadata improved to include state and elevation
- Improve speed of database population for met data
This webinar will present an overview of AMET and discuss some of the more important updates in the latest version of the tool. Very brief tutorials on the AQ and MET projects in AMET will also be presented, particularly focusing on those aspects of the tool that have changed from the previous version.
Event Number: 525-865-401
CMAQv5.3: Enhanced Capabilities to Analyze Emissions Scenarios
Presenters: Rohit Mathur, Ben Murphy, Sergey Napelenok, Kristen Foley
EPA's Office of Research and Development will walk through several of the enhanced features included with the recent v5.3 release of the Community Multiscale Air Quality Model (CMAQ).
Topics to be covered include:
- Improvements to model process representation
- Taking advantage of CMAQ's improved log file output
- An introduction to the Detailed Emissions Scaling, Isolation and Diagnostic (DESID) module
- Overview of the Integrated Source Apportionment Method (ISAM)
- Overview of the Sulfur Tracking Method (STM)
- New documentation and modeling datasets - what is available and where to find it
July 27, 2017. 2:00 PM (Eastern): [Download Slides]
Event Number: 641 164 413
Updates in the Atmospheric Model Evaluation Tool (AMET) version 1.3
The Atmospheric Model Evaluation Tool (AMET) (Appel et al., 2011) is a suite of software designed to facilitate the analysis and evaluation of meteorological and air quality models. AMET matches the model output for particular locations to the corresponding observed values from one or more networks of monitors. These pairings of values (model and observation) are then used to statistically and graphically analyze the model's performance.
A new version of AMET (version 1.3) was released in July 2017. A number of updates have been made in version 1.3 from the previous version (1.2). One major update in AMETv1.3 is the replacement of the perl code with R code, which simplifies the installation of AMET as it no longer requires users to install perl and the previously required perl packages. The database setup and creation has also been simplified, with the number of required input files reduced. The MySQL credential management has been made more robust to handle password control, while the speed of the MySQL data loading has also been improved. On the AQ side of AMET, support for the AMON and FLUXNET networks has been added to AMETv1.3, along with additional analysis scripts and query options. A batch analysis script has also been added which creates pre-defined plots using a single script, eliminating the need for a user to modify and run the individual analysis scripts. A number of updates have been made to MET side of AMET, including support for MPAS data, direct read of MADIS obs files, better automatic retrieval of MADIS observations using FTP, as well as many other updates.
This webinar will present an overview of AMET and the updates in AMETv1.3, and provide brief tutorials on the AQ and MET projects in AMET.
May 25, 2017. 2:00 PM (Eastern): [Download Slides]
Event Number: 640 171 919
An Introduction to C-TOOLS 4.0
Presenter: Sarav Arunachalam
C-TOOLS is a series of community tools to study local air quality due to various sources. C-TOOLS are being developed by the UNC-IE in collaboration with the U.S. EPA. Current members of C-TOOLS are C-LINE and C-PORT. Each community tool is a modeling and visualization system that accesses inputs, performs calculations, visualizes results, provides options to manipulate input variables, and performs basic data analysis - all through an easy-to-use web-based interface. The community tools based upon existing algorithms for dispersion are intended to inform the community user of local air quality due to various source types in their region of interest using a reduced-form modeling approach.
Topics to be covered include:
- Latest version of C-LINE and C-PORT - current members of C-TOOLS
- Overview of new features and ongoing development
- Preview of new members that will be added in the near future
April 27, 2017. 2:00 PM (Eastern): [Download Slides]
Event Number: 648 624 623
The Spatial Allocator 4.3, Release and Recent Updates
Presenter: Zac Adelman
The Spatial Allocator (SA) is a set of open-source tools that helps users manipulate and generate data files related to emissions and air quality modeling. The tools perform functions similar to Geographic Information Systems (GIS), but are provided to the modeling community free of charge. In addition, the tools are designed to support some of the unique aspects of the file formats used for Community Multiscale Air Quality (CMAQ), Sparse Matrix Operator Kernel Emissions (SMOKE), and Weather Research and Forecasting (WRF) modeling.
The Spatial Allocator version 4.3 was release in January. This webinar will present the updates to the software. Topics to be covered include:
- Tools for preparing satellite data of land use and atmospheric observations for use in meteorology and air quality modeling.
- Updates to the Surrogate Tool for generating emissions spatial surrogates
- The new BELD4SMK tool for converting BELD4 land cover data for estimating biogenic emissions with SMOKE
- Model release process and the new Spatial Allocator GitHub page
March 30, 2017. 2:00 PM (Eastern): [Download Slides]
Presenting the CMAQv5.2 Release
Presenters: Jon Pleim, Rohit Mathur, Wyat Appel, Ben Murphy
EPA's Office of Research and Development, Computational Exposure Division will present the recent scientific and computational updates made by EPA to the Community Multi-Scale Air Quality Model (CMAQ). Topics to be covered include:
- Improvements to model process representation
- Meteorology and connections to chemistry-transport calculations (land surface modeling, lightning assimilation)
- Enabling consistent urban to hemispheric scale modeling
- New chemical mechanisms and updates
- Particulate matter composition and important emission sources
- Evaluation of model updates
- Ongoing research and development
- Model release process and the new CMAQ website
February 23, 2017. 2:00 PM (Eastern): [Download Slides]
Latest SMOKE updates and more
Presenter: B.H. Baek, UNC Institute for the Environment
In cooperation with the U.S. EPA, the Lake Michigan Air Directors Consortium (LADCO), and Korea National Institute of Environment and Research (NIER), and the California Air Resource Board (CARB), the UNC Institute for the Environment have been updating the Sparse Matrix Operator Kernel Emissions (SMOKE) system to enhance the quality of emissions modeling input to air quality models. Major new features in recent SMOKE include:
- Capabilities to process gridded global emission inventories to support global and hemispheric air quality modeling
- SMOKE4AERMOD tool development to generate AERMOD ready input files based on the U.S. EPA's National Emission Inventory (NEI)
- Simulating real-time transponder data based emissions from Commercial Marine Vessels in the Great Lake
- Parameterizing MOVES emissions factors lookup tables
- Support for CARB inventory data formats and 6) various updates to support recent versions of US EPA NEI