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| Titel |
Assimilation of surface NO2 and O3 observations into the SILAM chemistry transport model |
| VerfasserIn |
J. Vira, M. Sofiev |
| 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. 2 ; Nr. 8, no. 2 (2015-02-06), S.191-203 |
| Datensatznummer |
250116105
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| Publikation (Nr.) |
 copernicus.org/gmd-8-191-2015.pdf |
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| Zusammenfassung |
This paper describes the assimilation of trace gas observations into the
chemistry transport model SILAM (System for Integrated modeLling of
Atmospheric coMposition) using the 3D-Var method. Assimilation results for
the year 2012 are presented for the prominent photochemical pollutants ozone
(O3) and nitrogen dioxide (NO2). Both species are covered by the AirBase
observation database, which provides the observational data set used in this
study.
Attention was paid to the background and observation error covariance
matrices, which were obtained primarily by the iterative application of a
posteriori diagnostics. The diagnostics were computed separately for 2
months representing summer and winter conditions, and further disaggregated
by time of day. This enabled the derivation of background and observation error
covariance definitions, which included both seasonal and diurnal variation.
The consistency of the obtained covariance matrices was verified using χ2 diagnostics.
The analysis scores were computed for a control set of observation stations
withheld from assimilation. Compared to a free-running model simulation, the
correlation coefficient for daily maximum values was improved from 0.8 to 0.9
for O3 and from 0.53 to 0.63 for NO2. |
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