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| Titel |
Evaluation of modeled surface ozone biases as a function of cloud cover fraction |
| VerfasserIn |
H. C. Kim, P. Lee, F. Ngan, Y. Tang, H. L. Yoo, L. Pan |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 9 ; Nr. 8, no. 9 (2015-09-25), S.2959-2965 |
| Datensatznummer |
250116562
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| Publikation (Nr.) |
 copernicus.org/gmd-8-2959-2015.pdf |
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| Zusammenfassung |
| A regional air-quality forecast system's model of surface ozone variability
based on cloud coverage is evaluated using satellite-observed cloud fraction
(CF) information and a surface air-quality monitoring system. We compared CF
and daily maximum ozone from the National Oceanic and Atmospheric
Administration's National Air Quality Forecast Capability (NOAA NAQFC) with
CFs from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the
US Environmental Protection Agency's AirNow surface ozone measurements
during May to October 2014. We found that observed surface ozone shows a
negative correlation with the MODIS CFs, showing around 1 ppb decrease for
10 % MODIS CF change over the contiguous United States, while the
correlation of modeled surface ozone with the model CFs is much weaker,
showing only −0.5 ppb per 10 % NAQFC CF change. Further, daytime CF
differences between MODIS and NAQFC are correlated with modeled
surface-ozone biases between AirNow and NAQFC, showing −1.05 ppb per 10 %
CF change, implying that spatial and temporal misplacement of the modeled
cloud field might have biased modeled surface ozone level. Current NAQFC
cloud fields seem to have fewer CFs compared to MODIS cloud fields (mean
NAQFC CF = 0.38 and mean MODIS CF = 0.55), contributing up to 35 % of
surface-ozone bias in the current NAQFC system. |
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