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首页> 外文期刊>Atmospheric chemistry and physics >Satellite-based evidence of wavelength-dependent aerosol absorption in biomass burning smoke inferred from Ozone Monitoring Instrument
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Satellite-based evidence of wavelength-dependent aerosol absorption in biomass burning smoke inferred from Ozone Monitoring Instrument

机译：基于臭氧的臭氧监测仪推断的生物量燃烧烟雾中与波长有关的气溶胶吸收的卫星证据

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We provide satellite-based evidence of the spectral dependence of absorptionin biomass burning aerosols over South America using near-UV measurementsmade by the Ozone Monitoring Instrument (OMI) during 2005–2007. In thecurrent near-UV OMI aerosol algorithm (OMAERUV), it is implicitly assumedthat the only absorbing component in carbonaceous aerosols is black carbonwhose imaginary component of the refractive index is wavelength independent.With this assumption, OMI-derived aerosol optical depth (AOD) is found to besignificantly over-estimated compared to that of AERONET at several sitesduring intense biomass burning events (August-September). Other well-knownsources of error affecting the near-UV method of aerosol retrieval do notexplain the large observed AOD discrepancies between the satellite and theground-based observations. A number of studies have revealed strong spectraldependence in carbonaceous aerosol absorption in the near-UV regionsuggesting the presence of organic carbon in biomass burning generatedaerosols. A sensitivity analysis examining the importance of accounting forthe presence of wavelength-dependent aerosol absorption in carbonaceousparticles in satellite-based remote sensing was carried out in this work.The results convincingly show that the inclusion of spectrally-dependentaerosol absorption in the radiative transfer calculations leads to a moreaccurate characterization of the atmospheric load of carbonaceous aerosols.The use of a new set of aerosol models assuming wavelength-dependent aerosolabsorption in the near-UV region (Absorption Angstrom Exponentλ−2.5 to −3.0) improved the OMAERUV retrieval results by significantlyreducing the AOD bias observed when gray aerosols were assumed. In addition,the new retrieval of single-scattering albedo is in better agreement withthose of AERONET within the uncertainties (ΔSSA = ±0.03). Thenew colored carbonaceous aerosol model was also found to reproduce theground-based AOD observations over the biomass burning region of centralAfrica and northern India. Together with demonstrating a significantimprovement in the retrieval of aerosol properties from OMI, the presentstudy highlights the greater sensitivity of the near-UV measurements to thevarying spectral aerosol absorption. This capability can be explored furtherfor the use in the identification of the black carbon and organics in thebiomass burning aerosols.
机译：我们使用臭氧监测仪器（OMI）在2005-2007年间进行的近紫外测量，为南美各地生物质燃烧气溶胶吸收的光谱依赖性提供了基于卫星的证据。在当前的近紫外OMI气溶胶算法（OMAERUV）中，隐含地假设碳质气溶胶中唯一的吸收组分是黑碳，其虚构的折射率与波长无关，在这种假设下，OMI衍生的气溶胶光学深度（AOD）为在强烈的生物质燃烧事件期间（8月至9月），与AERONET相比，发现与AERONET相比被高估了很多。影响近紫外气溶胶回收方法的其他众所周知的误差来源无法解释卫星观测结果与地面观测结果之间大的观测到的AOD差异。大量研究表明，在近紫外线区域，碳质气溶胶的吸收具有很强的光谱依赖性，这表明生物质燃烧产生的气溶胶中存在有机碳。在这项工作中进行了敏感性分析，探讨了在基于卫星的遥感中考虑碳质颗粒中依赖于波长的气溶胶吸收的重要性的研究结果，令人信服地表明，在辐射转移计算中包括与光谱有关的气溶胶吸收会导致使用一组新的气溶胶模型（假设在近紫外区域中波长依赖的气溶胶吸收（吸收角指数λ -2.5到-3.0 ）可以改善碳质气溶胶的大气负荷。 OMAERUV检索结果通过显着降低了假定为灰色气溶胶时观察到的AOD偏差而得出。此外，在不确定性范围内，新的单散射反照率的反演与AERONET的反演更吻合（ΔSSA=±0.03）。还发现了新的彩色碳质气溶胶模型，该模型可重现非洲中部和印度北部生物量燃烧区域的地面AOD观测值。在证明从OMI检索气溶胶特性方面有了显着改进的同时，本研究还强调了近紫外测量对光谱气溶胶吸收变化的更大敏感性。可以进一步探索该功能，以用于鉴定燃烧生物质气溶胶中的黑碳和有机物。

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