Intra- and inter-annual variability of VOC emissions from natural and semi-natural vegetation in Europe and neighbouring countries

Steinbrecher, R.; Smiatek, Gerhard; Köble, R.; Seufert, G.; Theloke, J.; Hauff, Karin; Ciccioli, P.; Vautard, Robert; Curci, Gabriele

doi:10.1016/j.atmosenv.2008.09.072

Cited by 190 publications

(188 citation statements)

References 66 publications

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“…MEGAN-MACC isoprene is comparable to regional studies with values usually within 30 % of regional estimates. Larger discrepancies of factor of 3 occur in Europe Steinbrecher et al, 2009) and of a factor of 2 in Africa (Marais et al, 2012).…”

Section: Isoprene Global and Regional Totalsmentioning

confidence: 99%

Global data set of biogenic VOC emissions calculated by the MEGAN model over the last 30 years

et al. 2014

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Abstract. The Model of Emissions of Gases and Aerosols from Nature (MEGANv2.1) together with the ModernEra Retrospective Analysis for Research and Applications (MERRA) meteorological fields were used to create a global emission data set of biogenic volatile organic compounds (BVOC) available on a monthly basis for the time period of 1980-2010. This data set, developed under the Monitoring Atmospheric Composition and Climate project (MACC), is called MEGAN-MACC. The model estimated mean annual total BVOC emission of 760 Tg (C) yr −1 consisting of isoprene (70 %), monoterpenes (11 %), methanol (6 %), acetone (3 %), sesquiterpenes (2.5 %) and other BVOC species each contributing less than 2 %.Several sensitivity model runs were performed to study the impact of different model input and model settings on isoprene estimates and resulted in differences of up to ±17 % of the reference isoprene total. A greater impact was observed for a sensitivity run applying parameterization of soil moisture deficit that led to a 50 % reduction of isoprene emissions on a global scale, most significantly in specific regions of Africa, South America and Australia.MEGAN-MACC estimates are comparable to results of previous studies. More detailed comparison with other isoprene inventories indicated significant spatial and temporal differences between the data sets especially for Australia, Southeast Asia and South America. MEGAN-MACC estimates of isoprene, α-pinene and group of monoterpenes showed a reasonable agreement with surface flux measurements at sites located in tropical forests in the Amazon and Malaysia. The model was able to capture the seasonal variation of isoprene emissions in the Amazon forest.

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Section: Isoprene Global and Regional Totalsmentioning

confidence: 99%

Global data set of biogenic VOC emissions calculated by the MEGAN model over the last 30 years

et al. 2014

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“…Investigations of climate impacts on SOA concentrations mostly focus on influences on BVOC emissions. Generally, BVOC emissions increase with rising temperature and decrease with higher atmospheric CO 2 concentrations [29]. Human-induced land use changes by, e.g., deforestation or agriculture influence BVOC emissions, as do variations in natural vegetation due to climate change impacts like droughts causing alterations in vegetation types and cover.…”

Section: Biogenic Volatile Organic Gases and Secondary Organic Aerosolsmentioning

confidence: 99%

“…Natural SOA is mainly produced from the plant-emitted BVOC species isoprenes and monoterpenes. BVOC emissions depend on environmental factors like temperature, light, leaf areas, and vegetation type [28,29]. A fraction of BVOC is converted to SOA.…”

Section: Biogenic Volatile Organic Gases and Secondary Organic Aerosolsmentioning

confidence: 99%

Climate Feedback on Aerosol Emission and Atmospheric Concentrations

Tegen

Schepanski

2018

Curr Clim Change Rep

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Purpose of Review Climate factors may considerably impact on natural aerosol emissions and atmospheric distributions. The interdependencies of processes within the aerosol-climate system may thus cause climate feedbacks that need to be understood. Recent findings on various major climate impacts on aerosol distributions are summarized in this review. Recent Findings While generally atmospheric aerosol distributions are influenced by changes in precipitation, atmospheric mixing, and ventilation due to circulation changes, emissions from natural aerosol sources strongly depend on climate factors like wind speed, temperature, and vegetation. Aerosol sources affected by climate are desert sources of mineral dust, marine aerosol sources, and vegetation sources of biomass burning aerosol and biogenic volatile organic gases that are precursors for secondary aerosol formation. Different climate impacts on aerosol distributions may offset each other. Summary In regions where anthropogenic aerosol loads decrease, the impacts of climate on natural aerosol variabilities will increase. Detailed knowledge of processes controlling aerosol concentrations is required for credible future projections of aerosol distributions.

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“…Over Europe, an algorithm developed based on the GEIA parameterization was compared with a specific model described by Steinbrecher et al (2009), and evaluated using the CHIMERE CTM model with ground-level ozone observations . Moreover, Curci et al (2010) evaluated the performance of MEGAN using CHIMERE for surface concentrations of formaldehyde (HCHO) and isoprene at limited stations in Europe.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of two isoprene emission models for use in a long-range air pollution model

et al. 2012

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Abstract. Knowledge about isoprene emissions and concentration distribution is important for chemistry transport models (CTMs), because isoprene acts as a precursor for tropospheric ozone and subsequently affects the atmospheric concentrations of many other atmospheric compounds. Isoprene has a short lifetime, and hence it is very difficult to evaluate its emission estimates against measurements. For this reason, we coupled two isoprene emission models with the Danish Eulerian Hemispheric Model (DEHM), and evaluated the simulated background ozone concentrations based on different models for isoprene emissions. In this research, results of using the two global biogenic emission models; GEIA (Global Emissions Inventory Activity) and MEGAN (the global Model of Emissions of Gases and Aerosols from Nature) are compared and evaluated. The total annual emissions of isoprene for the year 2006 estimated by using MEGAN is 592 Tg yr −1 for an extended area of the Northern Hemisphere, which is 21 % higher than that estimated by using GEIA. The overall feature of the emissions from the two models is quite similar, but differences are found mainly in Africa's savannah and in the southern part of North America. Differences in spatial distribution of emission factors are found to be a key source of these discrepancies. In spite of the short life-time of isoprene, a direct evaluation of isoprene concentrations using the two biogenic emission models in DEHM has been made against available measurements in Europe. Results show an agreement between two models simulations and the measurements in general and that the CTM is able to simulate isoprene concentrations. Additionally, investigation of ozone concentrations resulting from the two biogenic emission models show that isoprene simulated by MEGAN strongly affects the ozone production in the African savannah; the effect is up to 10 % more than that obtained using GEIA. In contrast, the impact of using GEIA is higher in the Amazon region with more than 8 % higher ozone concentrations compared to that of using MEGAN. Comparing the ozone concentrations obtained by DEHM using the two different isoprene models with measurements from Europe and North America, show an agreement on the hourly, mean daily and daily maximum values. However, the average of ozone daily maximum value simulated by using MEGAN is slightly closer to the measured value for the average of all measuring sites in Europe.

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Intra- and inter-annual variability of VOC emissions from natural and semi-natural vegetation in Europe and neighbouring countries

Cited by 190 publications

References 66 publications

Global data set of biogenic VOC emissions calculated by the MEGAN model over the last 30 years

Global data set of biogenic VOC emissions calculated by the MEGAN model over the last 30 years

Climate Feedback on Aerosol Emission and Atmospheric Concentrations

Evaluation of two isoprene emission models for use in a long-range air pollution model

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