Yonsei University 4Tsinghua University Emory University 6Nanjing University 7Texas AM University 8Chinese Academy of Sciences Figure 2 top Monthly averages of coincident AOD from GOCI AERONET for Jan ID: 869401
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1 Guannan Geng4, Yang Liu5, Zongwei Ma5,6,
Guannan Geng4, Yang Liu5, Zongwei Ma5,6, Lei Huang6, Yuxuan Wang4,7, Hongbin Chen8, Huizheng Che9, Pohsiung Lin10, Nenghuei Lin11 Correspondence to Junwei.Xu@dal.ca Summary Yonsei University 4Tsinghua University Emory University 6Nanjing University 7Texas A&M University 8Chinese Academy of Sciences Figure 2. (top) Monthly averages of coincident AOD from GOCI & AERONET for Jan-Dec 2013. (bottom) Monthly averages of coincident PM2.5 /AOD from ground measurements and GEOS-Chem simulation Evaluation of Filtered GOCI AOD & GEOS-Chem PM2.5 /AOD with Ground Measurements !!Exclusion of our cloud Aerosol Retrieval Algorithm ¥!Surface reflectance: clear-sky composite method (30-day 2nd minimum reflectance) ¥!Cloud masking: spatial variability test & threshold test ¥!We applied additional spatial and temporal cloud filters Evaluation of Seasonal GOCI-derived PM2.5 with In-situ Data Filtered GOCI AOD & GEOS-Chem PM2.5 /AOD are highly consistent with ground measurementsFigure. 5. Monthly variation of GOCI-derived PM2.5 and in-situ PM2.5 for 2013 over eastern China, with chemical speciation calculated from the GEOS-Chem simulation of PM2.5 fractional chemical composition applied to GOCI-derived PMInterpreting Chemical Speciation of GOCI-derived PM2.5 using GEOS-Chem !!Most significant components of PM2.5 throughout the year: Secondary inorganics (65%; SO42-, NO3-, NH4+) & organic matter (18%) !!Organic matter increases by a factor of 2 in winter, driven by biofuel emissions in northern China for hearting !!Exclusion of our cloud filters from GOCI-derived Thus important to monitor PM2.5 concentration in ChinaLim et al 2012