Improving global chemical simulations of the upper troposphere-lower troposphere with sequential assimilation of MOZAIC data
Cathala, M.-L. ; Pailleux, J. ; Peuch, V.-H.
Année de publication
2003
The quantity and variety of atmospheric measurements of chemical <br>constituents are strongly increasing, both for in situ and <br>remote-sensing observing systems. This is an incentive to develop data <br>assimilation schemes for atmospheric chemistry models, in the <br>perspective of building realistic three-dimensional time-dependent <br>distributions of observed and chemically related non-observed compounds.<br> Sequential data assimilation experiments within the global Chemistry <br>and Transport Model MOCAGE have been conducted, in the perspective of <br>using the MOZAIC database and meteorological analyses to drive a global <br>simulation of ozone and related tracers, focussing specially on the <br>upper tropospherelower stratosphere; the chemistry and dynamics in this<br> region of the atmosphere are of great environmental interest, yet they <br>are currently very difficult to model. Assimilation of subsonic <br>flight-level observations of ozone is anticipated to provide a <br>significant contribution to improve numerical simulations. Results <br>obtained with two different sequential data assimilation schemes are <br>presented. The experiments have been set up on an 8-d period in February<br> 1997. The non-local data assimilation technique appears preferable to<br> the local technique tested, since the benefits of assimilation for <br>the former appear to remain for longer, possibly up to 34 d in the <br>model integration after the data assimilation phase.</div>
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