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| Titel |
Effects of model resolution on the interpretation of satellite NO2 observations |
| VerfasserIn |
L. C. Valin, A. R. Russell, R. C. Hudman, 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. 22 ; Nr. 11, no. 22 (2011-11-22), S.11647-11655 |
| Datensatznummer |
250010211
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| Publikation (Nr.) |
 copernicus.org/acp-11-11647-2011.pdf |
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| Zusammenfassung |
| Inference of NOx emissions (NO+NO2) from satellite observations
of tropospheric NO2 column requires knowledge of NOx lifetime,
usually provided by chemical transport models (CTMs). However, it is known
that species subject to non-linear sources or sinks, such as ozone, are
susceptible to biases in coarse-resolution CTMs. Here we compute the
resolution-dependent bias in predicted NO2 column, a quantity relevant to
the interpretation of space-based observations. We use 1-D and 2-D models to
illustrate the mechanisms responsible for these biases over a range of NO2
concentrations and model resolutions. We find that predicted biases are
largest at coarsest model resolutions with negative biases predicted over
large sources and positive biases predicted over small sources. As an
example, we use WRF-CHEM to illustrate the resolution necessary to predict
10 AM and 1 PM NO2 column to 10 and 25% accuracy over three large sources,
the Four Corners power plants in NW New Mexico, Los Angeles, and the San
Joaquin Valley in California for a week-long simulation in July 2006. We find
that resolution in the range of 4–12 km is sufficient to accurately model
nonlinear effects in the NO2 loss rate. |
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