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| Titel |
Monitoring high-ozone events in the US Intermountain West using TEMPO geostationary satellite observations |
| VerfasserIn |
P. Zoogman, D. J. Jacob, K. Chance, X. Liu, M. Lin, A. Fiore, K. Travis |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 14, no. 12 ; Nr. 14, no. 12 (2014-06-25), S.6261-6271 |
| Datensatznummer |
250118831
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| Publikation (Nr.) |
 copernicus.org/acp-14-6261-2014.pdf |
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| Zusammenfassung |
| 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 air from the free troposphere. Monitoring and
attribution of these events is problematic because of the sparsity of the
current network of surface measurements 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) bands to
provide 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 –Clean Air Status and Trends Network– sites), a configuration designed to represent TEMPO,
and a low Earth orbit (LEO) IR (infrared) satellite instrument. These 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. This is illustrated
with the case of a stratospheric intrusion. |
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