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Deposition Sensitivity Analysis by Using AVHRR/NOAA Global Data in Atmospheric Mesoscale Models: Application Over Madrid Domain

In this contribution we show the importance of modelling the deposition processes and particularly in connexion with satellite information. The deposition parameterization is currently described by using the so-called resistance approach and the resistances involved include the canopy resistance which is a function of series and parallel processes which are parameterized by using chemical and physical characteristics of the surface and the pollutant of study. The resistance approach has been validated by intensive field experiments which considers the landuse characteristics and other physical and chemical parameters of the near surrounding of the instrument deployment. The mesoscale air quality models (AQMs) require to parameterize the deposition processes over grid cell domains which are typically hundreds or thousands of metres (from several kilometres to hundreds of metres). The need to generalize the deposition resistance schemes is a must. Satellite information can be very useful to help in this task. This contribution shows a comparison between ozone and other pollutant surface concentration patterns which have been obtained by applying classical resistance approach and also canopy resistances by using LAI (Leaf Area Index) information and NDVI (Normalized Differential Vegetation Index) from AVHRR/NOAA satellite information. Results are very encouraging since they show that use of satellite derived information for deposition parameterization is a key issue and can enhance the results of the Mesoscale Air Quality Forecasting Modelling Systems.