David Liji Mary, Ravishankara A R, Kodros John K, Venkataraman Chandra, Sadavarte Pankaj, Pierce Jeffrey R, Chaliyakunnel Sreelekha, Millet Dylan B
Department of Chemistry and Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA.
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA.
J Geophys Res Atmos. 2018 Apr 16;123(7):3688-3703. doi: 10.1002/2017JD027719. Epub 2018 Feb 6.
Tropospheric aerosol optical depth (AOD) over India was simulated by Goddard Earth Observing System (GEOS)-Chem, a global 3-D chemical-transport model, using SMOG (Speciated Multi-pOllutant Generator from Indian Institute of Technology Bombay) and GEOS-Chem (GC) (current inventories used in the GEOS-Chem model) inventories for 2012. The simulated AODs were ~80% (SMOG) and 60% (GC) of those measured by the satellites (Moderate Resolution Imaging Spectroradiometer and Multi-angle Imaging SpectroRadiometer). There is no strong seasonal variation in AOD over India. The peak AOD values are observed/simulated during summer. The simulated AOD using SMOG inventory has particulate black and organic carbon AOD higher by a factor ~5 and 3, respectively, compared to GC inventory. The model underpredicted coarse-mode AOD but agreed for fine-mode AOD with Aerosol Robotic Network data. It captured dust only over Western India, which is a desert, and not elsewhere, probably due to inaccurate dust transport and/or noninclusion of other dust sources. The calculated AOD, after dust correction, showed the general features in its observed spatial variation. Highest AOD values were observed over the Indo-Gangetic Plain followed by Central and Southern India with lowest values in Northern India. Transport of aerosols from Indo-Gangetic Plain and Central India into Eastern India, where emissions are low, is significant. The major contributors to total AOD over India are inorganic aerosol (41-64%), organic carbon (14-26%), and dust (7-32%). AOD over most regions of India is a factor of 5 or higher than over the United States.
利用戈达德地球观测系统(GEOS)-Chem(一个全球三维化学传输模型),使用孟买印度理工学院的SMOG(特定多污染物生成器)和GEOS-Chem(GC)(GEOS-Chem模型中使用的当前排放清单)排放清单,对2012年印度上空的对流层气溶胶光学厚度(AOD)进行了模拟。模拟得到的AOD约为卫星(中分辨率成像光谱仪和多角度成像光谱辐射计)测量值的80%(SMOG)和60%(GC)。印度上空的AOD没有强烈的季节变化。AOD峰值出现在夏季。与GC排放清单相比,使用SMOG排放清单模拟得到的AOD中,颗粒状黑碳和有机碳AOD分别高出约5倍和3倍。该模型低估了粗模态AOD,但在细模态AOD方面与气溶胶机器人网络数据一致。它仅在印度西部(一片沙漠地区)捕捉到了沙尘,而在其他地方没有,这可能是由于沙尘传输不准确和/或未纳入其他沙尘源。经过沙尘校正后计算得到的AOD显示出其观测到的空间变化的一般特征。在印度河-恒河平原观测到的AOD值最高,其次是印度中部和南部,印度北部的值最低。气溶胶从印度河-恒河平原和印度中部向东部印度(排放较低的地区)的传输很显著。印度总AOD的主要贡献者是无机气溶胶(41%-64%)、有机碳(14%-26%)和沙尘(7%-32%)。印度大部分地区的AOD是美国的5倍或更高。