title: Climate impact of biofuels in shipping: global model studies of the aerosol indirect effect.
abstract: Aerosol emissions from international shipping are recognized to have a large impact on the Earth's radiation budget, directly by scattering and absorbing solar radiation and indirectly by altering cloud properties. New regulations have recently been approved by the International Maritime Organization (IMO) aiming at progressive reductions of the maximum sulfur content allowed in marine fuels from current 4.5% by mass down to 0.5% in 2020, with more restrictive limits already applied in some coastal regions. In this context, we use a global bottom-up algorithm to calculate geographically resolved emission inventories of gaseous (NO(x), CO, SO(2)) and aerosol (black carbon, organic matter, sulfate) species for different kinds of low-sulfur fuels in shipping. We apply these inventories to study the resulting changes in radiative forcing, attributed to particles from shipping, with the global aerosol-climate model EMAC-MADE. The emission factors for the different fuels are based on measurements at a test bed of a large diesel engine. We consider both fossil fuel (marine gas oil) and biofuels (palm and soy bean oil) as a substitute for heavy fuel oil in the current (2006) fleet and compare their climate impact to that resulting from heavy fuel oil use. Our simulations suggest that ship-induced surface level concentrations of sulfate aerosol are strongly reduced, up to about 40-60% in the high-traffic regions. This clearly has positive consequences for pollution reduction in the vicinity of major harbors. Additionally, such reductions in the aerosol loading lead to a decrease of a factor of 3-4 in the indirect global aerosol effect induced by emissions from international shipping.
authors.affiliation: Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre , Oberpfaffenhofen, Germany. mattia.righi@dlr.de
authors.forename: Mattia
authors.initials: M
authors.lastname: Righi
authors.forename: Carolin
authors.initials: C
authors.lastname: Klinger
authors.forename: Veronika
authors.initials: V
authors.lastname: Eyring
authors.forename: Johannes
authors.initials: J
authors.lastname: Hendricks
authors.forename: Axel
authors.initials: A
authors.lastname: Lauer
authors.forename: Andreas
authors.initials: A
authors.lastname: Petzold
mesh_terms: D000336:Aerosols / Q000032:analysis; D000393:Air Pollutants / Q000032:analysis*; D000397:Air Pollution / Q000517:prevention & control / Q000706:statistics & numerical data; D056804:Biofuels / Q000032:analysis* / Q000706:statistics & numerical data; D002248:Carbon Monoxide / Q000032:analysis; D057231:Climate Change / Q000706:statistics & numerical data*; D004784:Environmental Monitoring; D005579:Fossil Fuels / Q000032:analysis / Q000706:statistics & numerical data; D008956:Models, Chemical; D009589:Nitrogen Oxides / Q000032:analysis; D012767:Ships / Q000706:statistics & numerical data*; D053260:Soot / Q000032:analysis; D013431:Sulfates / Q000032:analysis; D013458:Sulfur Dioxide / Q000032:analysis; D001335:Vehicle Emissions / Q000032:analysis*
chemical_list: D000336:Aerosols; D000393:Air Pollutants; D056804:Biofuels; D005579:Fossil Fuels; D009589:Nitrogen Oxides; D053260:Soot; D013431:Sulfates; D001335:Vehicle Emissions; D013458:Sulfur Dioxide; D002248:Carbon Monoxide