Atmospheric Chemistry and Physics Discussions
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2008
10.5194/acpd-8-9607-2008
http://www.atmos-chem-phys-discuss.net/8/9607/2008/
http://www.atmos-chem-phys-discuss.net/8/9607/2008/acpd-8-9607-2008.html
http://www.atmos-chem-phys-discuss.net/8/9607/2008/acpd-8-9607-2008.pdf
9607
9640
2008-05-27
PM<sub>10</sub> data assimilation over Europe with the optimal interpolation method
M. Tombette
tombette@cerea.enpc.fr
V. Mallet
B. Sportisse
CEREA, Joint Laboratory ENPC–EDF R&D, Université Paris-Est, Marne la Vallée, France
INRIA, Paris-Rocquencourt Research Centre, France
This paper presents experiments of PM<sub>10</sub> data assimilation with the optimal
interpolation method. The observations are provided by BDQA (Base de Données
sur la Qualité de l'Air), whose monitoring network covers France. Two other
databases (EMEP and AirBase) are used to evaluate the improvements in the
analyzed state over one month (January, 2001) and for several outputs (PM<sub>10</sub>,
PM<sub>2.5</sub> and chemical composition). Then, the method is applied in operational
conditions. The results show that the assimilation of PM<sub>10</sub> observations
significantly improves the one-day forecast for total mass (PM<sub>10</sub> and
PM<sub>2.5</sub>). The errors on aerosol chemical composition are not reduced and
are sometimes amplified by the assimilation procedure, which shows the need for
chemical data. As the observations cover a limited part of the domain (France versus
Europe) and as the method used for assimilation is sequential, we focus on the
horizontal and temporal impacts of assimilation in the last part of this
paper. To conclude, we discuss the perspectives, especially the use of a
variational method for assimilation or the investigation of the sensitivity
to a few choices (e.g., the error statistics, etc.).
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