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| Titel |
Quantitative bias estimates for tropospheric NO2 columns retrieved from SCIAMACHY, OMI, and GOME-2 using a common standard for East Asia |
| VerfasserIn |
H. Irie, K. F. Boersma, Y. Kanaya, H. Takashima, X. Pan, Z. F. Wang |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 5, no. 10 ; Nr. 5, no. 10 (2012-10-16), S.2403-2411 |
| Datensatznummer |
250003122
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| Publikation (Nr.) |
 copernicus.org/amt-5-2403-2012.pdf |
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| Zusammenfassung |
| For the intercomparison of tropospheric nitrogen dioxide (NO2) vertical
column density (VCD) data from three different satellite sensors (SCIAMACHY,
OMI, and GOME-2), we use a common standard to quantitatively evaluate the
biases for the respective data sets. As the standard, a regression analysis
using a single set of collocated ground-based Multi-Axis Differential
Optical Absorption Spectroscopy (MAX-DOAS) observations at several sites in
Japan and China from 2006–2011 is adopted. Examinations of various spatial
coincidence criteria indicates that the slope of the regression line can be
influenced by the spatial distribution of NO2 over the area considered.
While the slope varies systematically with the distance between the MAX-DOAS
and satellite observation points around Tokyo in Japan, such a systematic
dependence is not clearly seen and correlation coefficients are generally
higher in comparisons at sites in China. On the basis of these results, we
focus mainly on comparisons over China and estimate the biases in SCIAMACHY,
OMI, and GOME-2 data (TM4NO2A and DOMINO version 2 products) against the
MAX-DOAS observations to be −5 ± 14%, −10 ± 14%, and +1 ±
14%, respectively, which are all small and insignificant. We suggest
that these small biases now allow for analyses combining these satellite data
for air quality studies, which are more systematic and quantitative than
previously possible. |
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