An analysis of AERONET aerosol absorption properties and classifications representative of aerosol source regions
An analysis of AERONET aerosol absorption properties and classifications representative of aerosol source regions
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DOI：
10.1029/2012jd018127
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发表时间：
2012-09-06
影响因子：
4.4
通讯作者：
Schafer, J. S.
中科院分区：
文献类型：
--
作者：
Giles, D. M.;Holben, B. N.;Schafer, J. S.
利用遥感技术对矿物粉尘、污染物、烟雾和混合物进行分区，有助于提高卫星反演的准确性和评估气溶胶辐射对气候的影响。来自气溶胶机器人网络（AERONET）测量的光谱气溶胶光学深度（T）和单次散射ω（ω（ω））用于形成吸收（即，ω（0）和吸收埃-恩-斯特龙指数（α（abs）和尺寸（即，消光埃指数（α（ext））和精细模式分数的T）的关系，以推断占主导地位的气溶胶类型。使用长期AERONET数据集（1999-2010年），19个站点根据已知源区按气溶胶类型分组，以（1）确定每个站点的平均ω（o）和α（abs（在先前工作的基础上扩展），（2）通过改变光谱ω（0）对α（ABS）进行灵敏度研究，（3）检验每种吸收和尺寸关系区分气溶胶类型的能力。光谱ω（0）平均值指示稍微更多的气溶胶吸收（即，a 0.0 < delta omega（o）
Partitioning of mineral dust, pollution, smoke, and mixtures using remote sensing techniques can help improve accuracy of satellite retrievals and assessments of the aerosol radiative impact on climate. Spectral aerosol optical depth (T) and single scattering albedo (omega(o)) from Aerosol Robotic Network (AERONET) measurements are used to form absorption (i.e., omega(o) and absorption angstrom ngstrom exponent (alpha(abs))) and size (i.e., extinction angstrom ngstrom exponent (alpha(ext)) and fine mode fraction of T) relationships to infer dominant aerosol types. Using the long-term AERONET data set (1999-2010), 19 sites are grouped by aerosol type based on known source regions to (1) determine the average omega(o) and alpha(abs) at each site (expanding upon previous work), (2) perform a sensitivity study on alpha(abs) by varying the spectral omega(o), and (3) test the ability of each absorption and size relationship to distinguish aerosol types. The spectral omega(o) averages indicate slightly more aerosol absorption (i.e., a 0.0 < delta omega(o)