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| Titel |
Observation operator for the assimilation of aerosol type resolving satellite measurements into a chemical transport model |
| VerfasserIn |
M. Schroedter-Homscheidt, H. Elbern, T. Holzer-Popp |
| 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 ; 10, no. 21 ; Nr. 10, no. 21 (2010-11-08), S.10435-10452 |
| Datensatznummer |
250008876
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| Publikation (Nr.) |
 copernicus.org/acp-10-10435-2010.pdf |
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| Zusammenfassung |
| Modelling of aerosol particles with chemical transport models is still based
mainly on static emission databases while episodic emissions cannot be
treated sufficiently. To overcome this situation, a coupling of chemical
mass concentration modelling with satellite-based measurements relying on
physical and optical principles has been developed. This study deals with
the observation operator for a component-wise assimilation of satellite
measurements. It treats aerosol particles classified into water soluble,
water insoluble, soot, sea salt and mineral dust containing aerosol
particles in the atmospheric boundary layer as separately assimilated
aerosol components. It builds on a mapping of aerosol classes used both in
observation and model space taking their optical and chemical properties
into account. Refractive indices for primary organic carbon particles,
anthropogenic particles, and secondary organic species have been defined
based on a literature review. Together with a treatment of different size
distributions in observations and model state, this allows transforming the
background from mass concentrations into aerosol optical depths. A
two-dimensional, variational assimilation is applied for component-wise
aerosol optical depths. Error covariance matrices are defined based on a
validation against AERONET sun photometer measurements. Analysis fields are
assessed threefold: (1) through validation against AERONET especially in
Saharan dust outbreak situations, (2) through comparison with the British
Black Smoke and Sulphur Dioxide Network for soot-containing particles, and
(3) through comparison with measurements of the water soluble components
SO4, NH4, and NO3 conducted by the EMEP (European Monitoring
and Evaluation Programme) network. Separately, for the water soluble, the
soot and the mineral dust aerosol components a bias reduction and subsequent
a root mean square error reduction is observed in the analysis for a test
period from July to November 2003. Additionally, examples of an improved
analysis during wildfire and dust outbreak situations are shown. |
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