Avaliação de diferentes mecanismos químicos e condições de contorno de compostos químicos no modelo WRF-Chem: Estimativas de ozônio durante o experimento GOAMAZON2014/5

Abstract

Tropospheric ozone has been studied over the years as an important indicator of air quality. Atmospheric chemistry modeling studies contribute significantly in this scientific aspect, especially in places with few observational measures. It is important that the modeling represents as real as possible concentrations of pollutant gases. In this regard, studies seeking the best possible configurations for the different regions of the planet are necessary, especially in the remote Amazon region, with scarce measures and little anthropogenic influence. The present work aims to evaluate the importance of the initial and boundary conditions of chemical compounds from the MOZART-4 model, as well as which chemical mechanism (RADM2 and CBMZ) present better performance in the simulation of ozone concentrations for the metropolitan region Of Manaus through comparisons with data collected during the IOP1 (rainy season) of the GoAmazon2014 / 5 campaign. To do so, simulations were performed using the WRF-Chem model for days 1 to 15 of February 2014 (Comparing with data from the experimental site T3 in Manacapuru - AM) and March 11 to 17, 2014 (Comparing with data obtained in the campaign By IOP1 of GoAmazon2014 / 5). The comparisons between the simulations and the observed data were performed using a box-whisker plot and statistical tests for daily values and diurnal cycle and show that the use of initial and contour conditions provided by the MOZART-4 model mean that the simulated average values of ozone In WRF-Chem present results closer to that observed in comparison to the standard profile provided by the model. For the comparison between the chemical mechanisms RADM2 and CBMZ, they presented similar results for surface ozone concentrations. However, in the comparison between these simulations and the airplane measurements for March 11, 12, 13, 14, 16 and 17, the results show a better performance of WRF-Chem using the RADM2 mechanism.