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| Titel |
A high spatial resolution retrieval of NO 2 column densities from OMI: method and evaluation |
| VerfasserIn |
A. R. Russell, A. E. Perring, L. C. Valin, E. J. Bucsela, E. C. Browne, P. J. Wooldridge, R. C. Cohen |
| 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 ; 11, no. 16 ; Nr. 11, no. 16 (2011-08-22), S.8543-8554 |
| Datensatznummer |
250010020
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| Publikation (Nr.) |
 copernicus.org/acp-11-8543-2011.pdf |
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| Zusammenfassung |
| We present a new retrieval of tropospheric NO2 vertical column density
from the Ozone Monitoring Instrument (OMI) based on high spatial and
temporal resolution terrain and profile inputs. We compare our NO2
product, the Berkeley High-Resolution (BEHR) product, with operational
retrievals and find that the operational retrievals are biased high (30 %)
over remote areas and biased low (8 %) over urban regions. Additionally,
we find non-negligible impacts on the retrieved NO2 column for terrain
pressure (±20 %), albedo (±40 %), and NO2 vertical
profile (−75 %–+10 %). We validate the operational and BEHR products
using boundary layer aircraft observations from the Arctic Research of the
Composition of the Troposphere from Aircraft and Satellites (ARCTAS-CA)
field campaign which occurred in June 2008 in California. Results indicate
that columns derived using our boundary layer extrapolation method show good
agreement with satellite observations (R2 = 0.65–0.83; N = 68) and
provide a more robust validation of satellite-observed NO2 column than
those determined using full vertical spirals (R2 = 0.26; N = 5) as in
previous work. Agreement between aircraft observations and the BEHR product
(R2 = 0.83) is better than agreement with the operational products
(R2 = 0.65–0.72). We also show that agreement between satellite and
aircraft observations can be further improved (e.g. BEHR: R2 = 0.91)
using cloud information from the Moderate Resolution Imaging
Spectroradiometer (MODIS) instrument instead of the OMI cloud product. These
results indicate that much of the variance in the operational products can
be attributed to coarse resolution terrain pressure, albedo, and profile
parameters implemented in the retrievals. |
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