Using 3DVAR data assimilation system to improve ozone simulations in the Mexico City basin

N. Bei, B. de Foy, W. Lei, M. Zavala, L. T. Molina
2008 Atmospheric Chemistry and Physics  
This study investigates the improvement of ozone (O 3 ) simulations in the Mexico City basin using a threedimensional variational (3DVAR) data assimilation system in meteorological simulations during the MCMA-2003 field measurement campaign. Meteorological simulations from the NCAR/Penn State mesoscale model (MM5) are used to drive photochemical simulations with the Comprehensive Air Quality Model with extensions (CAMx) during a fourday episode on 13-16 April 2003. The simulated wind
more » ... ted wind circulation, temperature, and humidity fields in the basin with the data assimilation are found to be more consistent with the observations than those from the reference deterministic forecast. This leads to improved simulations of plume position, peak O 3 timing, and peak O 3 concentrations in the photochemical model. The improvement in O 3 simulations is especially strong during the daytime. The results demonstrate the importance of applying data assimilation in meteorological simulations for air quality studies in the Mexico City basin. The basic goal of the three-dimensional variational (3DVAR) data assimilation is to produce an "optimal" estimate of the true atmospheric state at the analysis time Published by Copernicus Publications on behalf of the European Geosciences Union.
doi:10.5194/acp-8-7353-2008 fatcat:cto3jyqklncv3dkbyyamqkeq3a