Abstract
Understanding the Laminar Distribution of Tropospheric Ozone from Ground-Based, Airborne, Spaceborne, and Modeling Perspectives
AGU Fall Meeting 2016
12/12/2016
Abstract
Laminar ozone structure is a ubiquitous feature of tropospheric-ozone distributions resulting from dynamic and chemical atmospheric processes. Understanding the characteristics of these ozone laminae and the mechanisms responsible for producing them is important to outline the transport pathways of trace gases and to quantify the impact of different sources on tropospheric background ozone. In this study, we present a new method to detect ozone laminae to understand their climatological characteristics of occurrence frequency in terms of thickness and altitude. We employ both ground-based and airborne ozone lidar measurements and other synergistic observations and modeling to investigate the sources and mechanisms such as biomass burning transport, stratospheric intrusion, lightning-generated NOx, and nocturnal low-level jets that are responsible for depleted or enhanced tropospheric ozone layers. Spaceborne (e.g., OMI (Ozone Monitoring Instrument), TROPOMI (Tropospheric Monitoring Instrument), TEMPO (Tropospheric Emissions: Monitoring of Pollution)) measurements of these laminae will observe greater horizontal extent and lower vertical resolution than balloon-borne or lidar measurements will quantify. Using integrated ground-based, airborne, and spaceborne observations in a modeling framework affords insight into how to gain knowledge of both the vertical and horizontal evolution of these ubiquitous ozone laminae.
Details
- Title: Subtitle
- Understanding the Laminar Distribution of Tropospheric Ozone from Ground-Based, Airborne, Spaceborne, and Modeling Perspectives
- Creators
- Mike Newchurch - Alabama UnivMatthew S. Johnson - Ames Research CenterGuanyu Huang - Alabama UnivShi Kuang - Alabama UnivLihua Wang - Alabama UnivKelly Chance - Center for Astrophysics Harvard & SmithsonianXiong Liu - Center for Astrophysics Harvard & Smithsonian
- Resource Type
- Abstract
- Conference
- AGU Fall Meeting 2016
- Publisher
- Ames Research Center
- Language
- English
- Date published
- 12/12/2016
- Description audience
- PUBLIC
- Academic Unit
- Iowa Technology Institute
- Record Identifier
- 9984721110402771
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