CMAS is NO LONGER accepting oral and poster abstracts for the sessions listed below . The deadline to submit abstracts for the 20th Annual CMAS Conference has passed. Please see the 20th Annual CMAS Conference Agenda to view accepted abstracts.
Sessions planned for the 20th Annual CMAS Conference:
The energy system is currently responsible for the majority of U.S. emissions of criteria air pollutants, greenhouse gases, and short-lived climate forcing pollutants. Understanding how the energy system may evolve in the future and the resulting implications on the environment is critical if environmental decision-makers are to address these challenges proactively and efficiently. The goal of this session is to highlight research efforts involved in exploring the linkages among air quality, climate and energy, with focus on supporting decision-making at federal, state or local levels. Among the topics that are appropriate for inclusion are:
This session will include air quality modeling studies that focus on exposure disparities and environmental justice related issues at local to regional to national scales. Studies that include both observation (in-situ and remotely sensed) and model-based assessments are welcome, along with highlights on identifying research needs.
Recent advances have enabled the use of cloud computing for atmospheric model applications. Use of cloud computing avoids the use of in-house HPC resources and the associated costs of maintenance, while leveraging the use of state-of-the-art resources from multiple cloud vendors. The objective of this session is to invite papers that focus on using cloud computing resources that can be deployed on-demand for research and applications. The topics for this session will include:
This session is dedicated to the application of innovative methodologies for preparing and processing emissions for air quality modeling applications. Techniques to improve estimates of wild fires, dust and biogenic emissions, and temporal allocation of anthropogenic sources are of special interest for this session. Session topics include:
Typically, a limited number of specific simulations using chemical transport models (CTMs) or Gaussian plume models are used to derive relationships between emissions from particular sources and a response variable (pollutant concentration, health impact, etc.) for specific locations. We want to discuss here the potential usages/applications of Machine Learning (ML) and Reduced form models (RFM) that are computationally efficient and allow users to rapidly assess air quality impacts for a large number of emission scenarios, making them especially useful as screening tools for evaluating policy scenarios.
There have been many ML and RFM implementations on air quality forecasting in recent years and this session focuses on the development, evaluation, and application of ML and RFMs. Topics include, but are not limited to, the following:
Work in recent years has vastly improved the science of air quality and methodologies for modeling and analyzing the distribution of air pollutants at various temporal and spatial scales. Such advances were motivated by the results from the multitude of applications and evaluations of air quality models that addressed various research, development and regulatory modeling issues. We seek abstracts that illustrate innovative methodologies and process algorithms in air quality modeling. Session topics include:
The purpose of this session is to present modeling approaches for various applications ranging from exposure assessments in support of health studies to near-source assessments such as near-roadway studies or community-scale applications. A variety of models can provide these detailed, spatially-, and temporally-resolved concentrations in support of environmental health studies. Models also provide an opportunity to examine how changes in emissions affect near-road air quality or other near-to-source impacts. Local governments and community groups may be interested in what if scenarios such as how to optimize traffic patterns around heavily polluted areas. For example, when schools are located near roadways, models can help to examine potential impacts on children's health or the relative contribution of school-related exposure compared to, or combined with, home-related exposure. The topics for this session will involve development, evaluation and application of models with the following focal areas:
Also, evaluation of air quality modeling systems (including meteorological and emissions models) is a key to verify the integrity of such modeling systems for various applications at various spatial and temporal resolutions. Abstracts are invited that present results of model evaluation studies, with emphasis on new techniques for model evaluation. Session topics include:
Air quality models continue to be important tools for guiding decision makers in preparing State Implementation Plan (SIP) applications to set standards for compliance. We seek abstracts that describe how air quality models are used in specific applications, with particular emphasis on the types of sensitivity and diagnostic analyses employed and on the model evaluation studies that were conducted for various applications.
This session's topics include (but are not limited to):
Papers in this session are devoted to analyzing data from both conventional and remote-sensing observational platforms. In particular, presentations are invited on the integration of data collected from different platforms, and on the use of new satellite data products in air quality modeling. Session topics include:
In addition, new sensor technologies, due to their characteristics (e.g., low cost, small size, high portability), are becoming increasingly important for individual exposure assessment, especially since this kind of instrument can provide measurements at high spatial and temporal resolution, which is a notable advantage when approaching assessment of exposure to environmental contaminants.
This session will provide information about advancements on the developments and use of sensor technology for air quality and health studies.
Topics include, but are not limited to, the following:
Wildfires have continued to affect air quality and public health in several parts of North America. We seek abstracts that discuss one or more of the following topics:
A decade ago, the International Association of Urban Climate (IAUC) initiated the "World Urban Database and Access Portal Tools" or WUDAPT; this worldwide community-based activity design bases is to provide requisite input urban canopy parameters (UCPs) at city block scales for urban meteorological and AQ and exposure modeling applications on a consistent and worldwide bases. Consequently, WUDAPT has just achieved its goal for worldwide consistent Local Climate Zone mapping; this provides associated UCP values for each of the 10 urban LCZ classes at 100m grid resolution, globally. Significant developments are also underway to generating grid specific generalized UCPs to augment the LCZ approach for advanced intraurban requirements.
These past 20 years, CMAS has provided an international forum for the AQ and exposure modeling community studies and applications. The CMAS recognizes the timely juxtaposition of WUDAPT science-based advancements, the addressing of enhanced risks from Climate changes, the recognition of Environmental Justice concerns, etc., and therefore will be promoting this new capability by identifying and facilitating explicit fit-for-purpose intra-urban focused model applications applicable globally. The WUDAPT session in CMAS 2023 will opportunistically set the stage for piloting and testing UCP-based AQ and Exposure modeling approaches and studies across a variety of modeling systems such as WRF-Chem (and CMAQ), CESM-UCLM5, MPAS and Street in Grid platforms. Invited (and solicited) presentations will explore a testbed paradigm (using various WUDAPT products) towards stimulating various prototypical studies and application including implementation details in testbed type activities.
Extended abstracts should be submitted by November 1, 2021. All presenters need to provide an extended abstract. The abstracts should be NO LONGER THAN 6 pages and should be submitted in PDF format. The abstract should include your name, affiliation, e-mail address, fax number, and phone number. Please e-mail your extended abstract to firstname.lastname@example.org with the subject line "Conference extended abstract" by November 01, 2021. Extended abstracts will not be accepted after December 1, 2021.
For technical information about presentations, including what files to send us, how to record a narration onto a PowerPoint, and a guide on how the Question and Answer session will work, please visit our Info for Presenters page.
There will be a virtual poster session this year!