ACP Atmospheric Chemistry and Physics ACP Atmos. Chem. Phys. 1680-7324 Copernicus Publications Göttingen, Germany 10.5194/acp-15-6789-2015 Influence of biomass aerosol on precipitation over the Central Amazon: an observational study Gonçalves W. A. 1 Machado L. A. T. https://orcid.org/0000-0002-8243-1706 1 Kirstetter P.-E. https://orcid.org/0000-0002-7381-0229 2 National Institute for Space Research-INPE/Center for Weather Forecasting and Climate Studies–CPTEC, Cachoeira Paulista, São Paulo, Brazil Advanced Radar Research Center/University of Oklahoma and NOAA National Severe Storm Laboratory, Oklahoma, USA 18 06 2015 15 12 6789 6800 Copyright: © 2015 W. A. Gonçalves et al. 2015 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://acp.copernicus.org/articles/15/6789/2015/acp-15-6789-2015.html The full text article is available as a PDF file from https://acp.copernicus.org/articles/15/6789/2015/acp-15-6789-2015.pdf

Understanding the influence of biomass burning aerosol on clouds and precipitation in the Amazon is key to reducing uncertainties in simulations of climate change scenarios with regard to deforestation fires. Here, we associate rainfall characteristics obtained from an S-band radar in the Amazon with in situ measurements of biomass burning aerosol for the entire year of 2009. The most important results were obtained during the dry season (July–December). The results indicate that the influence of aerosol on precipitating systems is modulated by the atmospheric degree of instability. For less unstable atmospheres, the higher the aerosol concentration is, the lower the precipitation is over the region. In contrast, for more unstable cases, higher concentrations of black carbon are associated with greater precipitation, increased ice content, and larger rain cells; this finding suggests an association with long-lived systems. The results presented are statistically significant. However, due to limitations imposed by the available data set, important features, such as the contribution of each mechanism to the rainfall suppression, need further investigation. Regional climate model simulations with aircraft and radar measurements would help clarify these questions.

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