Updated African biomass burning emission inventories in the framework of the AMMA-IDAF program, with an evaluation of combustion aerosols

Liousse, Catherine; Guillaume, Bruno; Grégoire, Jean‐Marie; Mallet, Marc; Galy, C.; Pont, Véronique; Akpo, Aristide; Bedou, Mouhamadou; Castéra, Pierre; Dungall, L.; Gardrat, Eric; Granier, Claire; Konaré, A.; Malavelle, Florent; Mariscal, A.; Miéville, Aude; Rosset, R.; Serça, D.; Solmon, F.; Tummon, Fiona; Assamoi, E.; Yoboue, Véronique; Velthoven, P. van

doi:10.5194/acp-10-9631-2010

Cited by 125 publications

(124 citation statements)

References 110 publications

(113 reference statements)

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“…BB emission estimates are taken from bottom-up BB inventories, namely: GFEDv2 [8], GFEDv3 [6], and AMMABB [9], for which large differences have been shown to exist in the emission estimates for both trace gases and aerosols [9,10]. For regions outside the African domain we adopt the GFEDv2 emission inventory for BB in all simulations.…”

Section: Model Simulations and Emissionsmentioning

confidence: 99%

“…Also a fixed vegetation map for the year 2000 is adopted during the calculation of the emission fluxes [10]. The total emission estimate for each trace gas is calculated using the designated biomass density, burning efficiency and emission factors for 14 separate vegetation types [9]. The burning efficiency across vegetation types typical ranges from 0.25 (e.g., GLC1, broadleaf evergreen) to 0.9 (GLC11, Evergreen Shrubs).…”

Section: Comparison Of Biomass Burning Emission Inventoriesmentioning

confidence: 99%

“…Here the organic species in the modified CBM4 mechanism for which BB contribute are thus: PAR represents paraffinic bonds, ETH represents ethene (CH 2 =CH 2 ), OLE represents olefinic bonds, ALD2 represents aldehydes, MGLY represents methylgloxal (CH 3 COCHO) and HCHO represents formaldehyde. For the AMMABB inventory the L3JRC burned area product is used [40] derived using daily images from the VEGETATION sensor on the Satellite Pour l' Observation de la Terre (SPOT) instrument, with corrections applied for the GLC3 (open deciduous broadleaved tree cover) and GLC12 (deciduous closed-open shrubs) ecosystems using intercomparisons of the LANDSAT and L3JRC products [9]. Also a fixed vegetation map for the year 2000 is adopted during the calculation of the emission fluxes [10].…”

Section: Comparison Of Biomass Burning Emission Inventoriesmentioning

confidence: 99%

“…To quantify the strength of the emission sources methodologies have been developed which combine such satellite observations with, e.g., terrestrial ecosystem models that account for differences in both land type and the availability of biomass for burning. This has lead to the development of a number of bottom-up emission inventories for use in three-dimensional global chemistry-transport models (3D global CTMs) [6,8,9]. A recent intercomparison of BB emission inventories for the year 2003 has highlighted large differences in both the seasonality and the total flux of gases emitted from tropical burning regions [10].…”

Section: Introductionmentioning

confidence: 99%

“…The large interannual variability in the timing, distribution and extent of burning events can presently be mapped by making use of satellite observations and using the total burned area products [6][7][8][9]. To quantify the strength of the emission sources methodologies have been developed which combine such satellite observations with, e.g., terrestrial ecosystem models that account for differences in both land type and the availability of biomass for burning.…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Uncertainties in African Biomass Burning Emission Estimates on Modeling Global Air Quality, Long Range Transport and Tropospheric Chemical Lifetimes

et al. 2012

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Abstract:The chemical composition of the troposphere in the tropics and Southern Hemisphere (SH) is significantly influenced by gaseous emissions released from African biomass burning (BB). Here we investigate how various emission estimates given in bottom-up BB inventories (GFEDv2, GFEDv3, AMMABB) affect simulations of global tropospheric composition using the TM4 chemistry transport model. The application of various model parameterizations for introducing such emissions is also investigated. There are perturbations in near-surface ozone (O 3 ) and carbon monoxide (CO) of ~60-90% in the tropics and ~5-10% in the SH between different inventories. Increasing the update frequency of the temporal distribution to eight days generally results in decreases of between ~5 and 10% in near-surface mixing ratios throughout the tropics, which is larger than the influence of increasing the injection heights at which BB emissions are introduced. There are also associated differences in the long range transport of pollutants throughout the SH, where the composition of the free troposphere in the SH is sensitive to the chosen BB inventory. Analysis of the chemical budget terms reveals that the influence of increasing the tropospheric CO burden due to BB on oxidative capacity of the OPEN ACCESSAtmosphere 2012, 3 133 troposphere is mitigated by the associated increase in NO x emissions (and thus O 3 ) with the variations in the CO/N ratio between inventories being low. For all inventories there is a decrease in the tropospheric chemical lifetime of methane of between 0.4 and 0.8% regardless of the CO emitted from African BB. This has implications for assessing the effect of inter-annual variability in BB on the annual growth rate of methane.

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Section: Model Simulations and Emissionsmentioning

confidence: 99%

Section: Comparison Of Biomass Burning Emission Inventoriesmentioning

confidence: 99%

Section: Comparison Of Biomass Burning Emission Inventoriesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The Impact of Uncertainties in African Biomass Burning Emission Estimates on Modeling Global Air Quality, Long Range Transport and Tropospheric Chemical Lifetimes

et al. 2012

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Climatology of aerosol properties and clear‐sky shortwave radiative effects using Lidar and Sun photometer observations in the Dakar site

et al. 2016

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This paper presents the analysis of nearly a decade of continuous aerosol observations performed at the Mbour site (Senegal) with Sun photometer, Lidar, and Tapered Electromagnetic Oscillating Microbalance. This site is influenced all year-round by desert dust and sporadically, in wintertime, by biomass burning particles. Different patterns are revealed for winter and summer, seasons associated to air masses of different origin. The summer (wet season) is characterized by a high aerosol loading (optical thickness, AOT, around 0.57 at 532 nm) composed of large and weakly absorbing particles (Angstrom exponent, α, of 0.23 and single-scattering albedo, ϖ 0 , of 0.94 at 532 nm). A lower aerosol loading (AOT = 0.32) is observed during winter (dry season) for finer and absorbing particles (α = 0.48 and ϖ 0 = 0.87) revealing the presence of biomass burning aerosols and a greater proportion of local emissions. This latter anthropogenic contribution is visible at weekly and daily scales through AOT cycles. A decrease of about 30% in AOT has been featured in autumn since 2003. The derivation of the extinction profiles highlights a dust transport close to the ground during winter and in an aloft layer (up to 5 km) during summer. Accurate calculations of the daily aerosol radiative effect in clear-sky conditions are finally addressed. From spring to winter, seasonal shortwave radiative forcing averages of 14. 15, 11.15, 8.92, and 12.06 W m À2 have been found respectively.Up to 38% of the solar clear-sky atmospheric heating can be attributed to the aerosols in this site.

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Reconciling modeling with observations of radiative absorption of black carbon aerosols

et al. 2017

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The physical treatment of internal mixing and aging of black carbon (BC) aerosols that allow for enhanced solar absorption of the BC is an important parameterization in climate models. Many climate models predict a factor of 2–3 lower aerosol absorption optical depth (AAOD) than the atmospheric columnar absorption observed from ground‐based networks such as AERONET, likely because these models do not parameterize properly the BC absorption enhancement (EMAC). Models that are configured with an internal mixing have predicted large variations of EMAC, which are poorly constrained from ambient measurements. We determined the BC EMAC from aerosol coatings with a two‐step solvent experiment to remove both organic and inorganic coatings in ambient fine particulate matter (PM2.5). Observations in a rural North China site showed that the EMAC varied from 1.4 to 3. The EMAC increases simultaneously with SO42−/EC ratios, suggesting the photochemical production of sulfate coatings enhanced BC absorption. A global climate model, parameterized to account for these observational constraints, verifies that sulfates are primary drivers of the BC absorption enhancement in severely polluted area in China. This magnification of the radiative forcing of coated BC is stronger by a factor of ~2 than predicted by the standard parameterization (external mixing) in the climate model and is in better agreement with AERONET observations of AAOD. This result would be useful for testing the representation of solar absorption by BC‐containing particles in the newer generation of climate models.

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Updated African biomass burning emission inventories in the framework of the AMMA-IDAF program, with an evaluation of combustion aerosols

Cited by 125 publications

References 110 publications

The Impact of Uncertainties in African Biomass Burning Emission Estimates on Modeling Global Air Quality, Long Range Transport and Tropospheric Chemical Lifetimes

The Impact of Uncertainties in African Biomass Burning Emission Estimates on Modeling Global Air Quality, Long Range Transport and Tropospheric Chemical Lifetimes

Climatology of aerosol properties and clear‐sky shortwave radiative effects using Lidar and Sun photometer observations in the Dakar site

Reconciling modeling with observations of radiative absorption of black carbon aerosols

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