RESUME / ABSTRACT  


Data Assimilation with the Canadian Middle Atmosphere Model:
A first look at ozone


by


Saroja Polavarapu, Shuzhan Ren, Yves Rochon, David Sankey
MSC and U of Toronto




CMC's operational 3DVAR scheme has been coupled to the Canadian Middle Atmosphere Model (CMAM). CMAM is a comprehensive GCM with fully interactive chemistry, radiation and dynamics extending from the ground to the top of the mesosphere (95 km). During the past year, the system has continued to evolve and we now employ the currently operational 3DVAR version in which temperature and surface pressure are directly assimilated and which can handle more types of observations. In addition, our period of study has been changed from the UARS (Upper Atmosphere Research Satellite) period of 1991-4 to the current year (2002) in order to take advantage of the recent and coming satellite data (AMSU, SSMIS, AIRS, ENVISAT, OSIRIS, EOS-AURA, etc.). This configuration of the CMAM data assimilation system has been validated against observations and UKMO analyses and is found to be a distinct improvement over the previous version. This new configuration also carries 15 species. Although no chemical data is assimilated, the model updates the species distributions during the 6-h forecast to obtain trial fields. Comparison of the update ozone field against observations reveals a primarily zonal structure to the error. Nevertheless, the updated ozone is clearly superior to those obtained from climate simulations. Current work involves further diagnosis of the impact of dynamic variable assimilation on ozone fields and identifying the source(s) of the zonal error structure.