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| Titel |
Current status of the ability of the GEMS/MACC models to reproduce the tropospheric CO vertical distribution as measured by MOZAIC |
| VerfasserIn |
N. Elguindi, H. Clark, C. Ordóñez, V. Thouret, J. Flemming, O. Stein, V. Huijnen, P. Moinat, A. Inness, V.-H. Peuch, A. Stohl, S. Turquety, G. Athier, J.-P. Cammas, M. Schultz |
| 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 ; 3, no. 2 ; Nr. 3, no. 2 (2010-10-12), S.501-518 |
| Datensatznummer |
250000953
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| Publikation (Nr.) |
 copernicus.org/gmd-3-501-2010.pdf |
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| Zusammenfassung |
Vertical profiles of CO taken from the MOZAIC aircraft database are used to
globally evaluate the performance of the GEMS/MACC models, including the
ECMWF-Integrated Forecasting System (IFS) model coupled to the CTM MOZART-3
with 4DVAR data assimilation for the year 2004. This study provides a unique
opportunity to compare the performance of three offline CTMs (MOZART-3,
MOCAGE and TM5) driven by the same meteorology as well as one coupled
atmosphere/CTM model run with data assimilation, enabling us to assess the
potential gain brought by the combination of online transport and the 4DVAR
chemical satellite data assimilation.
First we present a global analysis of observed CO seasonal averages and
interannual variability for the years 2002–2007. Results show that despite
the intense boreal forest fires that occurred during the summer in Alaska and
Canada, the year 2004 had comparably lower tropospheric CO concentrations.
Next we present a validation of CO estimates produced by the MACC models for
2004, including an assessment of their ability to transport pollutants
originating from the Alaskan/Canadian wildfires. In general, all the models
tend to underestimate CO. The coupled model and the CTMs perform best in
Europe and the US where biases range from 0 to -25% in the free
troposphere and from 0 to -50% in the surface and boundary layers (BL).
Using the 4DVAR technique to assimilate MOPITT V4 CO significantly reduces
biases by up to 50% in most regions. However none of the models, even the
IFS-MOZART-3 coupled model with assimilation, are able to reproduce well the
CO plumes originating from the Alaskan/Canadian wildfires at downwind
locations in the eastern US and Europe. Sensitivity tests reveal that
deficiencies in the fire emissions inventory and injection height play a
role. |
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