CERFACS CERFACS Scientific Activity Report Jan. 2010 â Dec. 2011
CERFACS CERFACS Scientific Activity Report Jan. 2010 â Dec. 2011
CERFACS CERFACS Scientific Activity Report Jan. 2010 â Dec. 2011
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DATA ASSIMILATION FOR ATMOSPHERIC CHEMISTRY<br />
In the regional version of MOCAGE-Valentina, we have performed several experiments assimilating surface<br />
ozone measurement. The experiments also differ by the choice of the BECM configuration, in which<br />
the correlations and standard deviations matrices come from the ensemble-based diagnostics or from a<br />
posteriori diagnostics. All the analyses from these experiments are very well correlated to the observations,<br />
what assimilated or validation stations. Comparisons of the analyses with the validation stations show that<br />
the use of a BECM with time-dependent length-scales gives the largest correlation. All the analyses have a<br />
better correlation with the observations than the direct MOCAGE simulation, but the differences between<br />
them are small and we cannot conclude which BECM formulation is the most appropriate to the ozone<br />
simulation over Europe. The impact of the BECM formulation has been also difficult to evaluate because<br />
the model MOCAGE shows systematic bias in situation with low ozone concentration. So the impact of the<br />
analysis process is mostly to remove this bias.<br />
3.4 Development of linear chemistry schemes (S. Massart,<br />
D. Cariolle J. Flemming)<br />
During those past years a linearised ozone photochemical scheme has been developed for use within<br />
GCMs and CTMs. This scheme is widely used for climate simulations and data assimilation studies. The<br />
computational cost of this scheme is very low since it only requires an additional continuity equation to<br />
be solved in the large scale models. We had therefore extended the methodology to treat other chemical<br />
species, in particular a linearised scheme has been derived for CO and was implement in MOCAGE<br />
[DA3, DA12, DA4]. CO is one of the most important tropospheric trace gases. In particular because it<br />
affects the concentrations of the OH radical. Moreover the main sources of CO are incomplete fossil fuel<br />
and biomass burning, which lead to enhanced surface concentrations. And with a lifetime of a few months<br />
CO can serve as a tracer for regional and inter-continental transport of polluted air.<br />
Within MACC a major development effort of the Global Reactive Gases sub-project is the on-line<br />
integration of the chemistry in the IFS (known as C-IFS). C-IFS aims at a modular implementation of the<br />
chemical scheme used in several global CTMs including MOCAGE. To complement the complex schemes,<br />
linear scheme are explored in C-IFS for their potential in computational demanding application such as<br />
high resolution simulations and data assimilation. So, in parallel with the comprehensive detailed chemical<br />
schemes, we implemented in C-IFS the linearised parameterisation for CO.<br />
(a) GEMS reanalysis<br />
(b) High resolution simulation<br />
FIG. 3.4: CO concentration (in ppbv) at 500 hPa for the 19 th <strong>Jan</strong>uary 2008.<br />
82 <strong>Jan</strong>. <strong>2010</strong> – <strong>Dec</strong>. <strong>2011</strong>