You are here:
Multi-scale Analysis of Ozone Source Apportionment Using CMAQ-ISAM during 2018 LISTOS Field Campaign
Citation:
Napelenok, S., K. Baker, AND Q. Shu. Multi-scale Analysis of Ozone Source Apportionment Using CMAQ-ISAM during 2018 LISTOS Field Campaign. 2019 AGU Fall Meeting, San Francisco, CA, December 09 - 13, 2019.
Impact/Purpose:
This presentation will contribute to understanding the formation and transport of ozone in the US. It will further the evaluation of air quality model designed to simulate ozone. The evaluation will be both the standard comparison to network measurements as well as to less traditional comparison to satellite data. Finally, it will be a platform for demonstrating the utility of the newly updated source apportionment methodology within the CMAQ model.
Description:
Ozone levels have exceeded the National Ambient Air Quality Standard (NAAQS) in the New York City (NYC) metropolitan area for many decades, which afflicts the health and well-being of millions of people living in the NYC metro area and downwind in Connecticut, Rhode Island, Massachusetts, and beyond. A key problem in addressing this regional ozone pollution is comprehensively understanding multiple emission source sector contributions to ozone production and downwind transport. The Integrated Source Apportionment Method (ISAM) ozone approach has been developed and implemented in the Community Multiscale Air Quality (CMAQ) model to characterize and quantify the relationship between emission sources and ozone concentrations in regional areas. The updated ISAM in the newest version CMAQ (v5.3) is more efficient for both short- and long-term simulations as well as small and large domains. In this study, we apply the newest CMAQ-ISAM to investigate ozone and its precursors’ local to regional transport features as well as the contributions from source sectors to their concentrations at 12 and 4 km grid resolutions during the Long Island Sound Tropospheric Ozone Study (LISTOS). We first conduct annual 2018 CMAQ simulation in a 12km contiguous US platform to compare with annual average satellite observations for feature characterization. We then refine CMAQ-ISAM simulation for a heavy ozone pollution episode in summer 2018 with a 4 km platform to compare with field study observations. We will also verify the capability of CMAQ-ISAM to understand the source contributions to precursors and ozone production over the NYC area in multi-scale resolutions. The results will provide useful insights to inform optimal emissions control strategies.
