Ozone formation in biomass burning plumes: Influence of atmospheric dilution

Poppe, D.; Koppmann, R.; Rudolph, J.

doi:10.1029/1998gl900046

Cited by 36 publications

(50 citation statements)

References 10 publications

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“…However, the amount of ozone produced per NO x emitted is not linear (Liu et al, 1987;Lin et al, 1988;Trainer et al, 1993). With NO x ozone production increases at high NO x levels and decreases at high NO x levels, and the NO x threshold is around 1-10 ppbv, depending on NMVOC conditions and so on (Poppe et al, 1998). Generally, surface NO x levels in polluted areas of eastern China fall in this range (Fig.…”

Section: Ozone Concentrationsmentioning

confidence: 97%

Impact of different emission inventories on simulated tropospheric ozone over China: a regional chemical transport model evaluation

Aardenne

2004

Atmos. Chem. Phys.

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Abstract. The importance of emission inventory uncertainty on the simulation of summertime tropospheric ozone over China has been analyzed using a regional chemical transport model. Three independent emissions inventories, that are (i) emission estimates from the Emission Database for Global Atmospheric Research (EDGAR) for the year 1995, (ii) a regional emission inventory used in the Transport and Chemical Evolution over the Pacific (TRACE-P) program with emissions for the year 2000 and (iii) a national emission inventory used in the China Ozone Research Program (CORP) with emission estimates for the year 1995, are used for model simulation over a summer period. Methods used for the development of the inventories are discussed and differences in simulated ozone and its precursors with these emission inventories are analyzed. Comparison of the emission inventories revealed large differences in the emission estimates (up to 50% for NO x , ∼100% for NMVOC and ∼1000% for CO). Application of the different emission inventories in three model simulations showed minor differences in both surface O 3 in rather unpolluted areas in China and at higher altitudes (500 mbar). In polluted areas, differences in surface O 3 are 30-50% between the different model simulations which seem rather small taking into account the large differences in the emission inventories. Additional sensitivity runs showed that the difference in NO x emissions as well NMVOC emissions is a dominant factor which controls the differences in simulated O 3 concentrations while the impact of differences in CO emissions is relatively small. Although the CO emission estimate by CORP seems to be underestimated, there is no confidence to highlight one emission inventory better than the others.

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Section: Ozone Concentrationsmentioning

confidence: 97%

Impact of different emission inventories on simulated tropospheric ozone over China: a regional chemical transport model evaluation

Aardenne

2004

Atmos. Chem. Phys.

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“…For example, the ozone production efficiency N , defined as the ratio of ozone molecules produced per nitrogen oxide (NO x =NO+NO 2 ) molecule destroyed (Lui et al, 1987;Lin et al, 1988) is known to increase with the rate that NO x emissions are mixed into the environment (Chatfield and Delaney, 1990;Jacob et al, 1993;Poppe et al, 1998). Esler et al (2001) have demonstrated that hydroxyl radical (OH) levels are sensitive to mixing between tropospheric and stratospheric air.…”

Section: Introductionmentioning

confidence: 99%

A quantitative analysis of grid-related systematic errors in oxidising capacity and ozone production rates in chemistry transport models

Esler

Roelofs²,

Köhler

et al. 2004

Atmos. Chem. Phys.

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Abstract. Limited resolution in chemistry transport models (CTMs) is necessarily associated with systematic errors in the calculated chemistry, due to the artificial mixing of species on the scale of the model grid (grid-averaging). Here, the errors in calculated hydroxyl radical (OH) concentrations and ozone production rates P(O 3 ) are investigated quantitatively using both direct observations and model results. Photochemical steady-state models of radical chemistry are exploited in each case to examine the effect on both OH and P(O 3 ) of averaging relatively long-lived precursor species, such as O 3 , NO x , CO, H 2 O, etc. over different spatial scales. Changes in modelled P(O 3 ) are estimated, independently of other model errors, by calculating the systematic effect of spatial averaging on the ozone production efficiency N , defined as the ratio of ozone molecules produced per NO x molecule destroyed. Firstly, an investigation of in-flight measurements suggests that, at least in the northern midlatitude upper-troposphere/lower stratosphere, averaging precursor species on the scale of a T42 grid (2.75 • ×2.75 • ) leads to a 15-20% increase in OH concentrations and a 5-10% increase in N . Secondly, results from CTM model experiments are compared at different horizontal resolutions. Low resolution experiments are found to have significantly higher [OH] and P(O 3 ) compared with high resolution experiments. The extent to which these differences may be explained by the systematic error in the model chemistry associated with grid size is estimated by degrading the high resolution data onto a low resolution grid and then recalculating N and [OH]. The change in calculated N is found to be significant and can account for much of the difference in P(O 3 ) between the high and low resolution experiments. The calculated change in [OH] is less than the difference in [OH] found between the experiments, although the shortfall is likely to be due to the indirect effect of the change in modelled NO x , which is not accounted for in the calculation. It is arguedCorrespondence to: J. G. Esler (gavin@math.ucl.ac.uk) that systematic errors caused by limited resolution need to be considered when evaluating the relative impacts of different pollutant sources on tropospheric ozone.

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“…However, Liousse et al (1996) in their global model studies of carbonaceous aerosols, showed that the predicted concentrations in remote areas are extremely dependent on the height of injection of the aerosols, among others factors. Chatfield and Delany (1990) and Poppe et al (1998) demonstrated that due to the nonlinearity of ozone production, the rate of ozone formation is influenced by atmospheric dilution and transport. Consequently, the plume rise mechanism plays an important role.…”

Section: Introductionmentioning

confidence: 99%

Including the sub-grid scale plume rise of vegetation fires in low resolution atmospheric transport models

et al. 2007

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Abstract. We describe and begin to evaluate a parameterization to include the vertical transport of hot gases and particles emitted from biomass burning in low resolution atmosphericchemistry transport models. This sub-grid transport mechanism is simulated by embedding a 1-D cloud-resolving model with appropriate lower boundary conditions in each column of the 3-D host model. Through assimilation of remote sensing fire products, we recognize which columns have fires. Using a land use dataset appropriate fire properties are selected. The host model provides the environmental conditions, allowing the plume rise to be simulated explicitly. The derived height of the plume is then used in the source emission field of the host model to determine the effective injection height, releasing the material emitted during the flaming phase at this height. Model results are compared with CO aircraft profiles from an Amazon basin field campaign and with satellite data, showing the huge impact that this mechanism has on model performance. We also show the relative role of each main vertical transport mechanisms, shallow and deep moist convection and the pyro-convection (dry or moist) induced by vegetation fires, on the distribution of biomass burning CO emissions in the troposphere.

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Ozone formation in biomass burning plumes: Influence of atmospheric dilution

Cited by 36 publications

References 10 publications

Impact of different emission inventories on simulated tropospheric ozone over China: a regional chemical transport model evaluation

Impact of different emission inventories on simulated tropospheric ozone over China: a regional chemical transport model evaluation

A quantitative analysis of grid-related systematic errors in oxidising capacity and ozone production rates in chemistry transport models

Including the sub-grid scale plume rise of vegetation fires in low resolution atmospheric transport models

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