1. Junwei Xu 1 Randall V. Martin 1,2, Jhoon Kim 3, Myungje Choi 3, Qiang Zhang 4, Guannan Geng 4, Yang Liu 5, Zongwei Ma 5,6, Lei Huang 6, Yuxuan Wang 4,7 Estimating Ground-level PM 2.5 in Eastern China Using Aerosol Optical Depth Determined from the GOCI Satellite Instrument 1 Dalhousie University, Halifax, Canada 2 Harvard Smithsonian Center for Astrophysics, Cambridge, USA 3 Yonsei University. Seoul, Korea 4 Tsinghua University, Beijing, China 5 Emory University, Atlanta, USA 6 Nanjing University, Nanjing, China 7 Texas A&M University, College Station, USA Fall AGU San Francisco 16 Dec 2014

2. PM 2.5 : A complex mixture of extremely small particles and liquid droplets   Fine Particulate Matter (PM 2.5 ) Affects Health and Longevity WHO: 3.2 million premature DEATHS per year worldwide East Asia: 1 million Lim, et al., The Lancet, 380 (9859), pp. 2224-2260, 2012

3. Vast Regions Have Insufficient Measurements of Exposure Assessment to PM 2.5 Locations of Publicly-Available PM 2.5 Monitoring Sites in China http://113.108.142.147:20035/emcpublish/ van Donkelaar et al., EHP, 2010 Satellite-Derived PM 2.5 in China Satellite Remote Sensing Chemical Transport Model Satellite Remote Sensing Can Fill in These Gaps

4. Satellite-derived PM 2.5 : from Satellite Aerosol Optical Depth (AOD) and Modeled PM 2.5 /AOD GEOS-Chem Chemical Transport Model GEOS-5 meteorological fields New Multi-resolution Emission Inventory for China (MEIC) emission in 2010 New sulfate chemical formation mechanism (on aerosol surface at RH>60) Model version v9-01-03 Nested CH @ 0.5x0.666 deg horizontal resolution (Geostationary Ocean Color Imager) Onboard Korean COMS (Communication, Ocean, and Meteorological Satellite) Geostationary observation satellite 6 visible bands + 2 near-IR bands Hourly coverage @ 500 m resolution Aerosol Retrieval Algorithm Surface reflectance: clear-sky composite method (30-day 2 nd minimum reflectance) Cloud masking: spatial variability test & threshold test We applied additional textural cloud filters GOCI

5. Evaluating GOCI AOD by Comparing with Coincident AERONET Ground Measurements Evaluating Modeled PM 2.5 /AOD by Comparing with Coincident Ground Measurements Time inconsistency: Model: 2012 May – 2013 April Ground: 2013 Jan - Dec

6. Evaluation of GOCI-derived PM 2.5

7. Annual Mean GOCI-derived PM 2.5 Compared with Ground Measurements In Situ PM 2.5 is better represented by GOCI-derived PM2.5 (slope = 0.91) than by GEOS-Chem (slope =0.53)

8. Seasonal and Monthly GOCI-derived PM 2.5 Compared with Ground Measurements

9. Monthly GOCI-derived PM 2.5 and Chemical Speciation from GEOS-Chem over Eastern China Model indicates: Massive OM emission comes from biomass burning and biofuel combustion for heating Important PM 2.5 components: OM Sulfate Dust (in spring and fall) Xing et al., ACP, 2013

10. Summary GOCI provides reliable hourly AOD over Northeast Asia GOCI-derived PM 2.5 corrects the bias in the modeled PM 2.5 GOCI-derived PM 2.5 over Eastern China is in significant correlation with ground measurements

11. MODIS-derived PM2.5 Compared with In situ Measurements