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Monitoring High-ozone Events in the US Intermountain West Using Tempo Geostationary Satellite Observations : Volume 13, Issue 12 (23/12/2013)

By Zoogman, P.

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Book Id: WPLBN0003996617
Format Type: PDF Article :
File Size: Pages 28
Reproduction Date: 2015

Title: Monitoring High-ozone Events in the US Intermountain West Using Tempo Geostationary Satellite Observations : Volume 13, Issue 12 (23/12/2013)  
Author: Zoogman, P.
Volume: Vol. 13, Issue 12
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2013
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Travis, K., Fiore, A., Zoogman, P., Jacob, D. J., Chance, K., Liu, X., & Lin, M. (2013). Monitoring High-ozone Events in the US Intermountain West Using Tempo Geostationary Satellite Observations : Volume 13, Issue 12 (23/12/2013). Retrieved from http://www.ebooklibrary.org/


Description
Description: Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA. High-ozone events, approaching or exceeding the National Ambient Air Quality Standard (NAAQS), are frequently observed in the US Intermountain West in association with subsiding background influence. Monitoring and attribution of these events is problematic because of the sparsity of the surface network and lack of vertical information. We present an Observing System Simulation Experiment (OSSE) to evaluate the ability of the future geostationary satellite instrument Tropospheric Emissions: Monitoring of Pollution (TEMPO), scheduled for launch in 2018–2019, to monitor and attribute high-ozone events in the Intermountain West through data assimilation. TEMPO will observe ozone in the ultraviolet (UV) and visible (Vis) for sensitivity in the lower troposphere. Our OSSE uses ozone data from the GFDL AM3 chemistry-climate model (CCM) as the true atmosphere and samples it for April–June 2010 with the current surface network (CASTNet sites), TEMPO, and a low Earth orbit (LEO) IR satellite instrument. The synthetic data are then assimilated into the GEOS-Chem chemical transport model (CTM) using a Kalman filter. Error correlation length scales (500 km in horizontal, 1.7 km in vertical) extend the range of influence of observations. We show that assimilation of surface data alone does not adequately detect high-ozone events in the Intermountain West. Assimilation of TEMPO data greatly improves the monitoring capability, with little information added from the LEO instrument. The vertical information from TEMPO further enables the attribution of NAAQS exceedances to background ozone and this is illustrated with the case of a stratospheric intrusion.

Summary
Monitoring high-ozone events in the US Intermountain West using TEMPO geostationary satellite observations

Excerpt
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