Junwei Xu 1 Randall V. Martin 1,2, Jhoon Kim 3, Myungje Choi 3, Qiang Zhang 4, Guannan Geng 4, Yang...
11
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
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Transcript of Junwei Xu 1 Randall V. Martin 1,2, Jhoon Kim 3, Myungje Choi 3, Qiang Zhang 4, Guannan Geng 4, Yang...
Junwei Xu1
Randall V. Martin1,2, Jhoon Kim3, Myungje Choi3, Qiang Zhang4, Guannan Geng4, Yang Liu5, Zongwei Ma5,6, Lei Huang6, Yuxuan Wang4,7
Estimating Ground-level PM2.5 in Eastern China Using Aerosol Optical Depth Determined from
the GOCI Satellite Instrument
1Dalhousie University, Halifax, Canada
2Harvard Smithsonian Center for Astrophysics, Cambridge, USA 3Yonsei University. Seoul, Korea
4Tsinghua University, Beijing, China 5Emory University, Atlanta, USA
6Nanjing University, Nanjing, China 7Texas A&M University, College Station, USA
Fall AGUSan Francisco16 Dec 2014
PM2.5: A complex mixture of extremely small particles and liquid droplets

Fine Particulate Matter (PM2.5) 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
Vast Regions Have Insufficient Measurements of Exposure
Assessment to PM2.5
Locations of Publicly-Available PM2.5 Monitoring Sites in China
http://113.108.142.147:20035/emcpublish/ van Donkelaar et al., EHP, 2010
Satellite-Derived PM2.5 in China
Satellite Remote Sensing
Chemical Transport Model
Satellite Remote Sensing Can Fill in These Gaps
Satellite-derived PM2.5: from Satellite Aerosol Optical Depth (AOD) and Modeled PM2.5/AOD
GEOS-ChemChemical 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 v9-01-03Nested 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 2nd minimum reflectance) Cloud masking: spatial variability test &
threshold test We applied additional textural cloud filters
GOCI
Evaluating GOCI AOD by Comparing with Coincident AERONET Ground
Measurements
Evaluating Modeled PM2.5/AOD by Comparing with Coincident Ground Measurements
Time inconsistency:Model: 2012 May – 2013 AprilGround: 2013 Jan - Dec
Evaluation of GOCI-derived PM2.5
Annual Mean GOCI-derived PM2.5
Compared with Ground Measurements
In Situ PM2.5 is better represented by GOCI-derived PM2.5 (slope = 0.91) than by GEOS-Chem (slope =0.53)
Seasonal and Monthly GOCI-derived PM2.5 Compared with Ground Measurements
Monthly GOCI-derived PM2.5 and Chemical Speciation from GEOS-Chem over Eastern China
Model indicates:Massive OM emission comes from biomass burning and biofuel combustion for heating
Important PM2.5 components:OMSulfateDust (in
spring and fall)
Xing et al., ACP, 2013
Summary
GOCI provides reliable hourly AOD over Northeast Asia
GOCI-derived PM2.5 corrects the bias in the modeled PM2.5
GOCI-derived PM2.5 over Eastern China is in significant
correlation with ground measurements
MODIS-derived PM2.5Compared with In situ Measurements
