Preliminary results of the KORUS-AQ campaign (1 May – 14 June 2016) Rokjin Park1, Jaein I Jeong1, Duseong S. Jo1, Seungun Lee1, Hyunmin Kim1, Joon-Young Ahn2, James Crawford3, Jhoon Kim4, Gangwoong Lee5, Jay Al-Saadi3, Louisa Emmons6, Barry Lefer7, You-Deog Hong2, Jung-Hun Woo8, Chul Song9, Chang-Keun Song10, KORUS-AQ team 1 Seoul National University,2 National Institute of Environmental Research, South Korea, 3 NASA Langley Research Center,4 Yonsei University, 5 Hankuk University of Foreign Studies, 6 National Center for Atmospheric Research, 7 NASA Headquarters, 8 Konkuk University, 9 GIST, 10 UNIST The 8th International GEOS-Chem meeting, Harvard University, May 3, 2017

KORUS-AQ combined assets from the Korean and U. S KORUS-AQ combined assets from the Korean and U.S. atmospheric science communities and their supporting organizations (NIER, NASA, Universities, etc.) to implement an integrated observing system for improving our understanding of Air Quality Airborne sampling provides critical view for evaluation strategies in connecting ground-based and satellite observations Short term Satellites - provide broad coverage, continuity - but it needs reliable information on near-surface exposure. KORUS-AQ Goals Improve capability for satellite remote sensing of air quality Better understanding of the factors controlling air quality Test and improve model simulation of air quality Modeling - provide Air quality forecasting and warning service - but it needs reliable information on emission inventory and so on. Ground monitoring It will continue to be the primary method for monitoring exposure. Coverage is limited.

Multiplatform Observation

Summary of Integrated observation Participants 130 research group, 580 participants Aircraft DC-8 : 20 flight, 150 hr, measured over 200 air pollutants and parameters B200 : 30 flight, 124 hr, carried GEO-TASO simulator Hanseo Kingair : 32 flight, 120 hr, support B200 and flied near point source Ground 3 major sites : BN Island, Olympic Park and Taewha 5 NIER supersite, 3 NIMR monitoring site, 5 other site Remote sensing 18 AERONET site, 8 Pandora site, 6 LIDAR site Ozone Lidar in Taewha, HSRL in Seoul Vessel Kissing(NIMR) : traveled back and forth Incheon to Mokpo, 17 times Onnuri : KORUS-OC Modeling 10 models Satellites GOCI, OMI, MODIS, CALIPSO, IASI, etc.

Daily surface PM2.5 over Korea during the KORUS-AQ: Model Intercomparison PM2.5 [µg m-3]

Daily surface PM2. 5 at Olympic Park during the KORUS-AQ: GEOS-Chem vs Daily surface PM2.5 at Olympic Park during the KORUS-AQ: GEOS-Chem vs. Observations Stagnant Extreme Pollution Blocking Dynamic Weather R = 0.73 NMB = -22.5% Observation Model PM2.5 [µg m-3] The model appears to reproduce daily variability of PM2.5 concentrations. Is this for right reasons?

OA underestimation cancels out nitrate overestimation in the model Nitrate OA Nitrate + OA Sung-eun Lee will give a poster presentation (C21) on nitrate overestimation in the model this afternoon.

GEOS-Chem v10.1 evaluations of carbonaceous aerosols and parent VOCs Black carbon OA (Jo et al.) OA (Hodzic et al.) OA (GC v.10.1) μgC sm-3 μg sm-3 μg sm-3 μg sm-3 Isoprene Toluene Benzene Monoterpene ppbv ppbv ppbv ppbv

OA vs. Toluene [μg sm-3] [ppbv]

OA vs. Acetonitrile [μg sm-3] [pptv]

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