Abstract

Abstract. The South American Biomass Burning Analysis (SAMBBA) field campaign took detailed in situ flight measurements of aerosol during the 2012 dry season to characterise biomass burning aerosol and improve understanding of its impacts on weather and climate. Developments have been made to the Weather Research and Forecast model with chemistry (WRF-Chem) model to improve the representation of biomass burning aerosol in the region, by coupling a sectional aerosol scheme to the plume-rise parameterisation. Brazilian Biomass Burning Emissions Model (3BEM) fire emissions are used, prepared using PREP-CHEM-SRC, and mapped to CBM-Z and MOSAIC species. Model results have been evaluated against remote sensing products, AERONET sites, and four case studies of flight measurements from the SAMBBA campaign. WRF-Chem predicted layers of elevated aerosol loadings (5–20 μg sm−3) of particulate organic matter at high altitude (6–8 km) over tropical forest regions, while flight measurements showed a sharp decrease above 2–4 km altitude. This difference was attributed to the plume-rise parameterisation overestimating injection height. The 3BEM emissions product was modified using estimates of active fire size and burned area for the 2012 fire season, which reduced the fire size. The enhancement factor for fire emissions was increased from 1.3 to 5 to retain reasonable aerosol optical depths (AODs). The smaller fire size lowered the injection height of the emissions, but WRF-Chem still showed elevated aerosol loadings between 4–5 km altitude. Over eastern cerrado (savannah-like) regions, both modelled and measured aerosol loadings decreased above approximately 4 km altitude. Compared with MODIS satellite data and AERONET sites, WRF-Chem represented AOD magnitude well (between 0.3–1.5) over western tropical forest fire regions in the first half of the campaign, but tended to over-predict them in the second half, when precipitation was more significant. Over eastern cerrado regions, WRF-Chem tended to under-predict AODs. Modelled aerosol loadings in the east were higher in the modified emission scenario. The primary organic matter to black carbon ratio was typically between 8–10 in WRF-Chem. This was lower than the western flight measurements (interquartile range of 11.6–15.7 in B734, 14.7–24.0 in B739), but similar to the eastern flight B742 (8.1–10.4). However, single scattering albedo was close to measured over the western flights (0.87–0.89 in model; 0.86–0.91 in flight B734, and 0.81–0.95 in flight B739 measurements) but too high over the eastern flight B742 (0.86–0.87 in model, 0.79–0.82 in measurements). This suggests that improvements are needed to both modelled aerosol composition and optical properties calculations in WRF-Chem.

Highlights

  • Biomass burning in South America is a globally significant source of carbonaceous aerosol (black carbon (BC) and organic carbon (OC)) (Streets et al, 2004)

  • Aerosol loss processes are dominated by wet deposition, and the injection height of the flaming emissions will depend partly on the vertical profile of the atmosphere and wind speed in the column

  • We will proceed into more in-depth characterisation of the aerosol, firstly over the whole period of the campaign against remote satellite measurements and long-term Aerosol RObotic NETwork (AERONET) sites, with more detailed in situ measurements from the South American Biomass Burning Analysis (SAMBBA) aircraft campaign

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Summary

Introduction

Biomass burning in South America is a globally significant source of carbonaceous aerosol (black carbon (BC) and organic carbon (OC)) (Streets et al, 2004). As well as seriously impacting on the health of the local population (Ignotti et al, 2010; de Andrade Filho et al, 2013), this biomass burning aerosol (BBA) influences the climate on a regional and global scale (Andreae et al, 2004; Zhang et al, 2009; Boucher et al, 2013). Modelling the impacts of BBA on a regional scale requires a fully coupled “online” approach, with detailed descriptions of the aerosol properties and two-way interactions between the aerosol, radiation and cloud processes (Wang et al, 2006; Wang and Christopher, 2006; Grell and Baklanov, 2011). PREP-CHEMSRC can generate fire emissions using either the GFEDv2 inventory to produce 8-day averages (Van der Werf et al, 2006), or daily maps using the Brazilian Biomass Burning Emission Model (3BEM) (Longo et al, 2010). 3BEM has been shown to improve modelled predictions of CO compared to the lower-resolution GFEDv2 data set (Longo et al, 2010)

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