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• W2804381517 endingPage "14924" @default.
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• W2804381517 abstract "Abstract. Black carbon (BC) emissions from open biomass burning (BB) are known to have a considerable impact on the radiative budget of the atmosphere at both global and regional scales; however, these emissions are poorly constrained in models by atmospheric observations, especially in remote regions. Here, we investigate the feasibility of constraining BC emissions from BB using satellite observations of the aerosol absorption optical depth (AAOD) and the aerosol extinction optical depth (AOD) retrieved from OMI (Ozone Monitoring Instrument) and MODIS (Moderate Resolution Imaging Spectroradiometer) measurements, respectively. We consider the case of Siberian BB BC emissions, which have the strong potential to impact the Arctic climate system. Using aerosol remote sensing data collected at Siberian sites of the AErosol RObotic NETwork (AERONET) along with the results of the fourth Fire Lab at Missoula Experiment (FLAME-4), we establish an empirical parameterization relating the ratio of the elemental carbon (EC) and organic carbon (OC) contents in BB aerosol to the ratio of AAOD and AOD at the wavelengths of the satellite observations. Applying this parameterization to the BC and OC column amounts simulated using the CHIMERE chemistry transport model, we optimize the parameters of the BB emission model based on MODIS measurements of the fire radiative power (FRP); we then obtain top-down optimized estimates of the total monthly BB BC amounts emitted from intense Siberian fires that occurred from May to September 2012. The top-down estimates are compared to the corresponding values obtained using the Global Fire Emissions Database (GFED4) and the Fire Emission Inventory–northern Eurasia (FEI-NE). Our simulations using the optimized BB aerosol emissions are verified against AAOD and AOD data that were withheld from the estimation procedure. The simulations are further evaluated against in situ EC and OC measurements at the Zotino Tall Tower Observatory (ZOTTO) and also against aircraft aerosol measurement data collected in the framework of the Airborne Extensive Regional Observations in SIBeria (YAK-AEROSIB) experiments. We conclude that our BC and OC emission estimates, considered with their confidence intervals, are consistent with the ensemble of the measurement data analyzed in this study. Siberian fires are found to emit 0.41±0.14 Tg of BC over the whole 5-month period considered; this estimate is a factor of 2 larger and a factor of 1.5 smaller than the corresponding estimates based on the GFED4 (0.20 Tg) and FEI-NE (0.61 Tg) data, respectively. Our estimates of monthly BC emissions are also found to be larger than the BC amounts calculated using the GFED4 data and smaller than those calculated using the FEI-NE data for any of the 5 months. Particularly large positive differences of our monthly BC emission estimates with respect to the GFED4 data are found in May and September. This finding indicates that the GFED4 database is likely to strongly underestimate BC emissions from agricultural burns and grass fires in Siberia. All of these differences have important implications for climate change in the Arctic, as it is found that about a quarter of the huge BB BC mass emitted in Siberia during the fire season of 2012 was transported across the polar circle into the Arctic. Overall, the results of our analysis indicate that a combination of the available satellite observations of AAOD and AOD can provide the necessary constraints on BB BC emissions." @default.
• W2804381517 created "2018-06-01" @default.
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• W2804381517 date "2018-10-17" @default.
• W2804381517 modified "2023-10-17" @default.
• W2804381517 title "Estimation of black carbon emissions from Siberian fires using satellite observations of absorption and extinction optical depths" @default.
• W2804381517 cites W1483828389 @default.
• W2804381517 cites W1485359978 @default.
• W2804381517 cites W1519430870 @default.
• W2804381517 cites W1549405142 @default.
• W2804381517 cites W1563497780 @default.
• W2804381517 cites W1567803238 @default.
• W2804381517 cites W1907369419 @default.
• W2804381517 cites W1948181528 @default.
• W2804381517 cites W1964031751 @default.
• W2804381517 cites W1966515785 @default.
• W2804381517 cites W1975702358 @default.
• W2804381517 cites W1977702720 @default.
• W2804381517 cites W1978316624 @default.
• W2804381517 cites W1984613928 @default.
• W2804381517 cites W1985965824 @default.
• W2804381517 cites W1989258851 @default.
• W2804381517 cites W2009014695 @default.
• W2804381517 cites W2013700001 @default.
• W2804381517 cites W2018482968 @default.
• W2804381517 cites W2020667017 @default.
• W2804381517 cites W2022490268 @default.
• W2804381517 cites W2023044260 @default.
• W2804381517 cites W2026317156 @default.
• W2804381517 cites W2038120287 @default.
• W2804381517 cites W2040646504 @default.
• W2804381517 cites W2044499383 @default.
• W2804381517 cites W2048897977 @default.
• W2804381517 cites W2049019841 @default.
• W2804381517 cites W2050830693 @default.
• W2804381517 cites W2054324135 @default.
• W2804381517 cites W2055028526 @default.
• W2804381517 cites W2060117860 @default.
• W2804381517 cites W2061984772 @default.
• W2804381517 cites W2063887837 @default.
• W2804381517 cites W2066828854 @default.
• W2804381517 cites W2070408950 @default.
• W2804381517 cites W2074111307 @default.
• W2804381517 cites W2076782258 @default.
• W2804381517 cites W2083988711 @default.
• W2804381517 cites W2086888682 @default.
• W2804381517 cites W2087045666 @default.
• W2804381517 cites W2088254284 @default.
• W2804381517 cites W2089433206 @default.
• W2804381517 cites W2090216124 @default.
• W2804381517 cites W2091392780 @default.
• W2804381517 cites W2094466200 @default.
• W2804381517 cites W2094793446 @default.
• W2804381517 cites W2096073821 @default.
• W2804381517 cites W2101779407 @default.
• W2804381517 cites W2103977502 @default.
• W2804381517 cites W2106963750 @default.
• W2804381517 cites W2110052588 @default.
• W2804381517 cites W2111322295 @default.
• W2804381517 cites W2118488687 @default.
• W2804381517 cites W2119217198 @default.
• W2804381517 cites W2119718830 @default.
• W2804381517 cites W2121757798 @default.
• W2804381517 cites W2127048870 @default.
• W2804381517 cites W2128386435 @default.
• W2804381517 cites W2129628802 @default.
• W2804381517 cites W2129757972 @default.
• W2804381517 cites W2132002340 @default.
• W2804381517 cites W2132436820 @default.
• W2804381517 cites W2137169911 @default.
• W2804381517 cites W2137593141 @default.
• W2804381517 cites W2138849548 @default.
• W2804381517 cites W2141086064 @default.
• W2804381517 cites W2142380122 @default.
• W2804381517 cites W2144304061 @default.
• W2804381517 cites W2147384716 @default.
• W2804381517 cites W2148674484 @default.
• W2804381517 cites W2151036870 @default.
• W2804381517 cites W2151314733 @default.
• W2804381517 cites W2151423275 @default.
• W2804381517 cites W2152811544 @default.
• W2804381517 cites W2155024231 @default.
• W2804381517 cites W2155039075 @default.
• W2804381517 cites W2159896542 @default.
• W2804381517 cites W2160897099 @default.
• W2804381517 cites W2162872102 @default.
• W2804381517 cites W2163114065 @default.
• W2804381517 cites W2163719527 @default.
• W2804381517 cites W2163857426 @default.

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