ES24041Evaluation of near-surface atmospheric composition reanalysis data in the metropolis of São Paulo, Brazil
Air pollution is unequally monitored in Brazil, despite its relevance and health impacts. Global atmospheric model estimates can fill this lack of data after validation against air pollution observations. This study evaluates two global models and finds that one of them reproduces the seasonal variation of air pollution in the metropolis of São Paulo. After the necessary corrections, model estimates can be used to assess air pollution conditions in regions where direct observations are absent.
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