Source contributions to Northern Hemisphere CO and black carbon during spring and summer 2008 from POLARCAT and START08/preHIPPO observations and MOZART-4
Abstract:Anthropogenic pollution and wildfires are main producers of carbon monoxide (CO) and black carbon (BC) in the Northern Hemisphere. High concentrations of these compounds are transported into the Arctic troposphere, influencing the ecosystem in high northern latitudes and the global climate. The global chemical transport model MOZART-4 is used to quantify the seasonal evolution of the contribution of CO and BC from different source regions in spring and summer 2008 by tagging their emissions. Aircraft observati… Show more
“…Asian pollution dominates the source of anthropogenic BC in the Arctic tropospheric column, but less so in surface air. Our model Asian contribution to Arctic BC in spring is higher than previous studies (Koch and Hansen, 2005;Shindell et al, 2008;Tilmes et al, 2011). This reflects our higher Asian emission inventory, constrained by observations at Chinese sites as discussed in Sect.…”
Section: Constraints From Aircraft Datasupporting
confidence: 69%
“…A number of CTM studies have investigated the sources of BC in the Arctic, but there are large disagreements among models and discrepancies with observations Koch et al, 2009b;Tilmes et al, 2011). Emissions in East Asia have grown rapidly in the past two decades and some work has pointed out an impact on winter-spring Arctic BC concentrations, especially in the free troposphere (Koch and Hansen, 2005;Shindell et al, 2008;Tilmes et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Emissions in East Asia have grown rapidly in the past two decades and some work has pointed out an impact on winter-spring Arctic BC concentrations, especially in the free troposphere (Koch and Hansen, 2005;Shindell et al, 2008;Tilmes et al, 2011). However, Stohl (2006) found little wintertime Asian influence over the Arctic either at the surface or in the free troposphere.…”
Abstract. We use a global chemical transport model (GEOSChem CTM) to interpret observations of black carbon (BC) and organic aerosol (OA) from the NASA ARCTAS aircraft campaign over the North American Arctic in April 2008, as well as longer-term records in surface air and in snow (2007)(2008)(2009). BC emission inventories for North America, Europe, and Asia in the model are tested by comparison with surface air observations over these source regions. Russian open fires were the dominant source of OA in the Arctic troposphere during ARCTAS but we find that BC was of prevailingly anthropogenic (fossil fuel and biofuel) origin, particularly in surface air. This source attribution is confirmed by correlation of BC and OA with acetonitrile and sulfate in the model and in the observations. Asian emissions are the main anthropogenic source of BC in the free troposphere but European, Russian and North American sources are also important in surface air. Russian anthropogenic emissions appear to dominate the source of BC in Arctic surface air in winter. Model simulations for 2007-2009 (to account for interannual variability of fires) show much higher BC snow content in the Eurasian than the North American Arctic, consistent with the limited observations. We find that anthropogenic sourcesCorrespondence to: Q. Wang (wang2@fas.harvard.edu) contribute 90 % of BC deposited to Arctic snow in JanuaryMarch and 60 % in April-May 2007-2009. The mean decrease in Arctic snow albedo from BC deposition is estimated to be 0.6 % in spring, resulting in a regional surface radiative forcing consistent with previous estimates.
“…Asian pollution dominates the source of anthropogenic BC in the Arctic tropospheric column, but less so in surface air. Our model Asian contribution to Arctic BC in spring is higher than previous studies (Koch and Hansen, 2005;Shindell et al, 2008;Tilmes et al, 2011). This reflects our higher Asian emission inventory, constrained by observations at Chinese sites as discussed in Sect.…”
Section: Constraints From Aircraft Datasupporting
confidence: 69%
“…A number of CTM studies have investigated the sources of BC in the Arctic, but there are large disagreements among models and discrepancies with observations Koch et al, 2009b;Tilmes et al, 2011). Emissions in East Asia have grown rapidly in the past two decades and some work has pointed out an impact on winter-spring Arctic BC concentrations, especially in the free troposphere (Koch and Hansen, 2005;Shindell et al, 2008;Tilmes et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Emissions in East Asia have grown rapidly in the past two decades and some work has pointed out an impact on winter-spring Arctic BC concentrations, especially in the free troposphere (Koch and Hansen, 2005;Shindell et al, 2008;Tilmes et al, 2011). However, Stohl (2006) found little wintertime Asian influence over the Arctic either at the surface or in the free troposphere.…”
Abstract. We use a global chemical transport model (GEOSChem CTM) to interpret observations of black carbon (BC) and organic aerosol (OA) from the NASA ARCTAS aircraft campaign over the North American Arctic in April 2008, as well as longer-term records in surface air and in snow (2007)(2008)(2009). BC emission inventories for North America, Europe, and Asia in the model are tested by comparison with surface air observations over these source regions. Russian open fires were the dominant source of OA in the Arctic troposphere during ARCTAS but we find that BC was of prevailingly anthropogenic (fossil fuel and biofuel) origin, particularly in surface air. This source attribution is confirmed by correlation of BC and OA with acetonitrile and sulfate in the model and in the observations. Asian emissions are the main anthropogenic source of BC in the free troposphere but European, Russian and North American sources are also important in surface air. Russian anthropogenic emissions appear to dominate the source of BC in Arctic surface air in winter. Model simulations for 2007-2009 (to account for interannual variability of fires) show much higher BC snow content in the Eurasian than the North American Arctic, consistent with the limited observations. We find that anthropogenic sourcesCorrespondence to: Q. Wang (wang2@fas.harvard.edu) contribute 90 % of BC deposited to Arctic snow in JanuaryMarch and 60 % in April-May 2007-2009. The mean decrease in Arctic snow albedo from BC deposition is estimated to be 0.6 % in spring, resulting in a regional surface radiative forcing consistent with previous estimates.
“…For example, large boreal forest fires in Russia from 2002 to 2003 were responsible for global growth rates of many trace gases including carbon dioxide and methane (Kasischke et al, 2005;Yurganov et al, 2005;, but also to contribute to climate change (Damoah et al, 2004;Vivchar et al, 2010;Tilmes et al, 2011).…”
A chemical ionisation mass spectrometer (CIMS) was developed for measuring hydrogen cyanide (HCN) from biomass burning events in Canada using I− reagent ions on board the FAAM BAe-146 research aircraft during the BORTAS campaign in 2011. The ionisation scheme enabled highly sensitive measurements at 1 Hz frequency through biomass burning plumes in the troposphere.
A strong correlation between the HCN, carbon monoxide (CO) and acetonitrile (CH3CN) was observed, indicating the potential of HCN as a biomass burning (BB) marker. A plume was defined as being 6 standard deviations above background for the flights. This method was compared with a number of alternative plume-defining techniques employing CO and CH3CN measurements. The 6-sigma technique produced the highest R2 values for correlations with CO. A normalised excess mixing ratio (NEMR) of 3.68 ± 0.149 pptv ppbv−1 was calculated, which is within the range quoted in previous research (Hornbrook et al., 2011). The global tropospheric model STOCHEM-CRI incorporated both the observed ratio and extreme ratios derived from other studies to generate global emission totals of HCN via biomass burning. Using the ratio derived from this work, the emission total for HCN from BB was 0.92 Tg (N) yr−1
“…MOZART-4 simulations of numerous species (CO, O 3 and related tracers including C 2 H 2 and HCN) have been previously compared to in situ and satellite observations and used to track the intercontinental transport of pol- lution (e.g. Emmons et al, 2010b;Pfister et al, 2006Pfister et al, , 2008Pfister et al, , 2011Tilmes et al, 2011;Clarisse et al, 2011b;Wespes et al, 2012;Viatte et al, 2015). The surface anthropogenic (including fossil fuel and biofuel) emissions used here were taken from the inventory provided by D. Streets and University of Iowa and created for the Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) campaign (see http://bio.cgrer.uiowa.edu/arctas/emission.html for more information).…”
Abstract. We present global distributions of C 2 H 2 and hydrogen cyanide (HCN) total columns derived from the Infrared Atmospheric Sounding Interferometer (IASI) for the years 2008-2010. These distributions are obtained with a fast method allowing to retrieve C 2 H 2 abundance globally with a 5 % precision and HCN abundance in the tropical (subtropical) belt with a 10 % (25 %) precision. IASI data are compared for validation purposes with ground-based Fourier transform infrared (FTIR) spectrometer measurements at four selected stations. We show that there is an overall agreement between the ground-based and space measurements with correlation coefficients for daily mean measurements ranging from 0.28 to 0.81, depending on the site. Global C 2 H 2 and subtropical HCN abundances retrieved from IASI spectra show the expected seasonality linked to variations in the anthropogenic emissions and seasonal biomass burning activity, as well as exceptional events, and are in good agreement with previous spaceborne studies. Total columns simulated by the Model for Ozone and Related Chemical Tracers, version 4 (MOZART-4) are compared to the ground-based FTIR measurements at the four selected stations. The model is able to capture the seasonality in the two species in most of the cases, with correlation coefficients for daily mean measurements ranging from 0.50 to 0.86, depending on the site. IASI measurements are also compared to the distributions from MOZART-4. Seasonal cycles observed from satellite data are reasonably well reproduced by the model with correlation coefficients ranging from −0.31 to 0.93 for C 2 H 2 daily means, and from 0.09 to 0.86 for HCN daily means, depending on the considered region. However, the anthropogenic (biomass burning) emissions used in the model seem to be overestimated (underestimated), and a negative global mean bias of 1 % (16 %) of the model relative to the satellite observations was found for C 2 H 2 (HCN).Published by Copernicus Publications on behalf of the European Geosciences Union.
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