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2. The Korea–United States Air Quality (KORUS-AQ) field study

Author

Crawford, James H, Ahn, Joon-Young, Al-Saadi, Jassim, Chang, Limseok, Emmons, Louisa K, Kim, Jhoon, Lee, Gangwoong, Park, Jeong-Hoo, Park, Rokjin J, Woo, Jung Hun, Song, Chang-Keun, Hong, Ji-Hyung, Hong, You-Deog, Lefer, Barry L, Lee, Meehye, Lee, Taehyoung, Kim, Saewung, Min, Kyung-Eun, Yum, Seong Soo, Shin, Hye Jung, Kim, Young-Woo, Choi, Jin-Soo, Park, Jin-Soo, Szykman, James J, Long, Russell W, Jordan, Carolyn E, Simpson, Isobel J, Fried, Alan, Dibb, Jack E, Cho, SeogYeon, and Kim, Yong Pyo

Subjects
KORUS-AQ, Seoul, Air quality, Ozone, PM2.5, Transboundary pollution
Abstract

The Korea-United States Air Quality (KORUS-AQ) field study was conducted during May-June 2016. The effort was jointly sponsored by the National Institute of Environmental Research of South Korea and the National Aeronautics and Space Administration of the United States. KORUS-AQ offered an unprecedented, multi-perspective view of air quality conditions in South Korea by employing observations from three aircraft, an extensive ground-based network, and three ships along with an array of air quality forecast models. Information gathered during the study is contributing to an improved understanding of the factors controlling air quality in South Korea. The study also provided a valuable test bed for future air quality-observing strategies involving geostationary satellite instruments being launched by both countries to examine air quality throughout the day over Asia and North America. This article presents details on the KORUS-AQ observational assets, study execution, data products, and air quality conditions observed during the study. High-level findings from companion papers in this special issue are also summarized and discussed in relation to the factors controlling fine particle and ozone pollution, current emissions and source apportionment, and expectations for the role of satellite observations in the future. Resulting policy recommendations and advice regarding plans going forward are summarized. These results provide an important update to early feedback previously provided in a Rapid Science Synthesis Report produced for South Korean policy makers in 2017 and form the basis for the Final Science Synthesis Report delivered in 2020.

Published
2021

3. Observation-based modeling of ozone chemistry in the Seoul metropolitan area during the Korea-United States Air Quality Study (KORUS-AQ)

Author

Schroeder, Jason R, Crawford, James H, Ahn, Joon-Young, Chang, Limseok, Fried, Alan, Walega, James, Weinheimer, Andrew, Montzka, Denise D, Hall, Samuel R, Ullmann, Kirk, Wisthaler, Armin, Mikoviny, Tomas, Chen, Gao, Blake, Donald R, Blake, Nicola J, Hughes, Stacey C, Meinardi, Simone, Diskin, Glenn, Digangi, Joshua P, Choi, Yonghoon, Pusede, Sally E, Huey, Greg L, Tanner, David J, Kim, Michelle, and Wennberg, Paul

Subjects
Ozone, Air quality, Photochemistry, Korea, Seoul
Abstract

The Seoul Metropolitan Area (SMA) has a population of 24 million and frequently experiences unhealthy levels of ozone (O3). In this work, measurements taken during the Korea-United States Air Quality Study (KORUS-AQ, 2016) are used to explore regional gradients in O3 and its chemical precursors, and an observationally-constrained 0-D photochemical box model is used to quantify key aspects of O3 production including its sensitivity to precursor gases. Box model performance was evaluated by comparing modeled concentrations of select secondary species to airborne measurements. These comparisons indicate that the steady state assumption used in 0-D box models cannot describe select intermediate species, highlighting the importance of having a broad suite of trace gases as model constraints. When fully constrained, aggregated statistics of modeled O3 production rates agreed with observed changes in O3, indicating that the box model was able to represent the majority of O3 chemistry. Comparison of airborne observations between urban Seoul and a downwind receptor site reveal a positive gradient in O3 coinciding with a negative gradient in NOx, no gradient in CH2O, and a slight positive gradient in modeled rates of O3 production. Together, these observations indicate a radical-limited (VOC-limited) O3 production environment in the SMA. Zero-out simulations identified C7+ aromatics as the dominant VOC contributors to O3 production, with isoprene and anthropogenic alkenes making smaller but appreciable contributions. Simulations of model sensitivity to decreases in NOx produced results that were not spatially uniform, with large increases in O3 production predicted for urban Seoul and decreases in O3 production predicted for far-outlying areas. The policy implications of this work are clear: Effective O3 mitigation strategies in the SMA must focus on reducing local emissions of C7+ aromatics, while reductions in NOx emissions may increase O3 in some areas but generally decrease the regional extent of O3 exposure.

Published
2020

4. Limitations in representation of physical processes prevent successful simulation of PM_(2.5) during KORUS-AQ

Author

Travis, Katherine R., Crawford, James H., Chen, Gao, Jordan, Carolyn E., Nault, Benjamin A., Kim, Hwajin, Jimenez, Jose L., Campuzano-Jost, Pedro, Dibb, Jack E., Woo, Jung-Hun, Kim, Younha, Zhai, Shixian, Wang, Xuan, McDuffie, Erin E., Luo, Gan, Yu, Fangqun, Kim, Saewung, Simpson, Isobel J., Blake, Donald R., Chang, Limseok, and Kim, Michelle J.

Abstract

High levels of fine particulate matter (PM2.5) pollution in East Asia often exceed local air quality standards. Observations from the Korea United States-Air Quality (KORUS-AQ) field campaign in May and June 2016 showed that development of extreme pollution (haze) occurred through a combination of long-range transport and favorable meteorological conditions that enhanced local production of PM2.5. Atmospheric models often have difficulty simulating PM2.5 chemical composition during haze, which is of concern for the development of successful control measures. We use observations from KORUS-AQ to examine the ability of the GEOS-Chem chemical transport model to simulate PM2.5 composition throughout the campaign and identify the mechanisms driving the pollution event. In the surface level, the model underestimates campaign average sulfate aerosol by −64 % but overestimates nitrate aerosol by 36 %. The largest underestimate in sulfate occurs during the pollution event in conditions of high relative humidity, where models typically struggle to generate the high concentrations due to missing heterogeneous chemistry in aerosol liquid water in the polluted boundary layer. Hourly surface observations show that the model nitrate bias is driven by an overestimation of the nighttime peak. In the model, nitrate formation is limited by the supply of nitric acid, which is biased by +100 % against aircraft observations. We hypothesize that this is due to a missing sink, which we implement here as a factor of five increase in dry deposition. We show that the resulting increased deposition velocity is consistent with observations of total nitrate as a function of photochemical age. The model does not account for factors such as the urban heat island effect or the heterogeneity of the built-up urban landscape resulting in insufficient model turbulence and surface area over the study area that likely results in insufficient dry deposition. Other species such as NH3 could be similarly affected but were not measured during the campaign. Nighttime production of nitrate is driven by NO2 hydrolysis in the model, while observations show that unexpectedly elevated nighttime ozone (not present in the model) should result in N2O5 hydrolysis as the primary pathway. The model is unable to represent nighttime ozone due to an overly rapid collapse of the afternoon mixed layer and excessive titration by NO. We attribute this to missing nighttime heating driving deeper nocturnal mixing that would be expected to occur in a city like Seoul. This urban heating is not considered in air quality models run at large enough scales to treat both local chemistry and long-range transport. Key model failures in simulating nitrate, mainly overestimated daytime nitric acid, incorrect representation of nighttime chemistry, and an overly shallow and insufficiently turbulent nighttime mixed layer, exacerbate the model’s inability to simulate the buildup of PM2.5 during haze pollution. To address the underestimate in sulfate most evident during the haze event, heterogeneous aerosol uptake of SO2 is added to the model which previously only considered aqueous production of sulfate from SO2 in cloud water. Implementing a simple parameterization of this chemistry improves the model abundance of sulfate but degrades the SO2 simulation implying that emissions are underestimated. We find that improving model simulations of sulfate has direct relevance to determining local vs. transboundary contributions to PM2.5. During the haze pollution event, the inclusion of heterogeneous aerosol uptake of SO2 decreases the fraction of PM2.5 attributable to long-range transport from 66 % to 54 %. Locally-produced sulfate increased from 1 % to 46 % of locally-produced PM2.5, implying that local emissions controls would have a larger effect than previously thought. However, this additional uptake of SO2 is coupled to the model nitrate prediction which affects the aerosol liquid water abundance and chemistry driving sulfate-nitrate-ammonium partitioning. An additional simulation of the haze pollution with heterogeneous uptake of SO2 to aerosol and simple improvements to the model nitrate simulation results in 30 % less sulfate due to 40 % less nitrate and aerosol water, and results in an underestimate of sulfate during the haze event. Future studies need to better consider the impact of model physical processes such as dry deposition and boundary layer mixing on the simulation of nitrate and the effect of improved nitrate simulations on the overall simulation of secondary inorganic aerosol (sulfate+nitrate+ammonium) in East Asia. Foreign emissions are rapidly changing, increasing the need to understand the impact of local emissions on PM2.5 in South Korea to ensure continued air quality improvements.

Published
2022

5. The Airborne and Satellite Investigation of Asian Air Quality (Asia-Aq): An Opportunity for International Collaboration

Author

Crawford, James H., primary, Travis, Katherine R., additional, Judd, Laura M., additional, Lefer, Barry L., additional, Dibb, Jack E., additional, Kim, Jhoon, additional, Park, Rokjin, additional, Lee, Gangwoong, additional, Chang, Limseok, additional, Simpas, James Bernard B., additional, Cambaliza, Maria Obiminda L., additional, Macatangay, Ronald C., additional, Surapipith, Vanisa, additional, Thongboonchoo, Narisara, additional, Kim Oanh, Nguyen Thi, additional, Hien, To Thi, additional, Ly, Bich Thuy, additional, Salam, Abdus, additional, Ghude, Sachin D., additional, Latif, Mohd Talib, additional, Yu, Liya E., additional, Tanimoto, Hiroshi, additional, and Kanaya, Yugo, additional

Published
2022
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6. Limitations in representation of physical processes prevent successful simulation of PM<sub>2.5</sub> during KORUS-AQ

Author

Travis, Katherine R., primary, Crawford, James H., additional, Chen, Gao, additional, Jordan, Carolyn E., additional, Nault, Benjamin A., additional, Kim, Hwajin, additional, Jimenez, Jose L., additional, Campuzano-Jost, Pedro, additional, Dibb, Jack E., additional, Woo, Jung-Hun, additional, Kim, Younha, additional, Zhai, Shixian, additional, Wang, Xuan, additional, McDuffie, Erin E., additional, Luo, Gan, additional, Yu, Fangqun, additional, Kim, Saewung, additional, Simpson, Isobel J., additional, Blake, Donald R., additional, Chang, Limseok, additional, and Kim, Michelle J., additional

Published
2022
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7. Supplementary material to "Limitations in representation of physical processes prevent successful simulation of PM2.5 during KORUS-AQ"

Author

Travis, Katherine R., primary, Crawford, James H., additional, Chen, Gao, additional, Jordan, Carolyn E., additional, Nault, Benjamin A., additional, Kim, Hwajin, additional, Jimenez, Jose L., additional, Campuzano-Jost, Pedro, additional, Dibb, Jack E., additional, Woo, Jung-Hun, additional, Kim, Younha, additional, Zhai, Shixian, additional, Wang, Xuan, additional, McDuffie, Erin E., additional, Luo, Gan, additional, Yu, Fangqun, additional, Kim, Saewung, additional, Simpson, Isobel J., additional, Blake, Donald R., additional, Chang, Limseok, additional, and Kim, Michelle J., additional

Published
2022
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14. Observation-based modeling of ozone chemistry in the Seoul metropolitan area during the Korea-United States Air Quality Study (KORUS-AQ)

Author

Schroeder, Jason R., primary, Crawford, James H., additional, Ahn, Joon-Young, additional, Chang, Limseok, additional, Fried, Alan, additional, Walega, James, additional, Weinheimer, Andrew, additional, Montzka, Denise D., additional, Hall, Samuel R., additional, Ullmann, Kirk, additional, Wisthaler, Armin, additional, Mikoviny, Tomas, additional, Chen, Gao, additional, Blake, Donald R., additional, Blake, Nicola J., additional, Hughes, Stacey C., additional, Meinardi, Simone, additional, Diskin, Glenn, additional, Digangi, Joshua P., additional, Choi, Yonghoon, additional, Pusede, Sally E., additional, Huey, Greg L., additional, Tanner, David J., additional, Kim, Michelle, additional, and Wennberg, Paul, additional

Published
2020
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15. Limitations in representation of physical processes prevent successful simulation of PM2.5 during KORUS-AQ.

Author

Travis, Katherine R., Crawford, James H., Chen, Gao, Jordan, Carolyn E., Nault, Benjamin A., Kim, Hwajin, Jimenez, Jose L., Campuzano-Jost, Pedro, Dibb, Jack E., Woo, Jung-Hun, Kim, Younha, Zhai, Shixian, Wang, Xuan, McDuffie, Erin E., Luo, Gan, Yu, Fangqun, Kim, Saewung, Simpson, Isobel J., Blake, Donald R., and Chang, Limseok

Abstract

High levels of fine particulate matter (PM2.5) pollution in East Asia often exceed local air quality standards. Observations from the Korea United States-Air Quality (KORUS-AQ) field campaign in May and June 2016 showed that development of extreme pollution (haze) occurred through a combination of long-range transport and favorable meteorological conditions that enhanced local production of PM2.5. Atmospheric models often have difficulty simulating PM2.5 chemical composition during haze, which is of concern for the development of successful control measures. We use observations from KORUS-AQ to examine the ability of the GEOS-Chem chemical transport model to simulate PM2.5 composition throughout the campaign and identify the mechanisms driving the pollution event. In the surface level, the model underestimates campaign average sulfate aerosol by -64% but overestimates nitrate aerosol by 36%. The largest underestimate in sulfate occurs during the pollution event in conditions of high relative humidity, where models typically struggle to generate the high concentrations due to missing heterogeneous chemistry in aerosol liquid water in the polluted boundary layer. Hourly surface observations show that the model nitrate bias is driven by an overestimation of the nighttime peak. In the model, nitrate formation is limited by the supply of nitric acid, which is biased by +100% against aircraft observations. We hypothesize that this is due to a missing sink, which we implement here as a factor of five increase in dry deposition. We show that the resulting increased deposition velocity is consistent with observations of total nitrate as a function of photochemical age. The model does not account for factors such as the urban heat island effect or the heterogeneity of the built-up urban landscape resulting in insufficient model turbulence and surface area over the study area that likely results in insufficient dry deposition. Other species such as NH3 could be similarly affected but were not measured during the campaign. Nighttime production of nitrate is driven by NO2 hydrolysis in the model, while observations show that unexpectedly elevated nighttime ozone (not present in the model) should result in N2O5 hydrolysis as the primary pathway. The model is unable to represent nighttime ozone due to an overly rapid collapse of the afternoon mixed layer and excessive titration by NO. We attribute this to missing nighttime heating driving deeper nocturnal mixing that would be expected to occur in a city like Seoul. This urban heating is not considered in air quality models run at large enough scales to treat both local chemistry and long-range transport. Key model failures in simulating nitrate, mainly overestimated daytime nitric acid, incorrect representation of nighttime chemistry, and an overly shallow and insufficiently turbulent nighttime mixed layer, exacerbate the model's inability to simulate the buildup of PM2.5 during haze pollution. To address the underestimate in sulfate most evident during the haze event, heterogeneous aerosol uptake of SO2 is added to the model which previously only considered aqueous production of sulfate from SO2 in cloud water. Implementing a simple parameterization of this chemistry improves the model abundance of sulfate but degrades the SO2 simulation implying that emissions are underestimated. We find that improving model simulations of sulfate has direct relevance to determining local vs. transboundary contributions to PM2.5. During the haze pollution event, the inclusion of heterogeneous aerosol uptake of SO2 decreases the fraction of PM2.5 attributable to long-range transport from 66% to 54%. Locally-produced sulfate increased from 1% to 46% of locally-produced PM2.5, implying that local emissions controls would have a larger effect than previously thought. However, this additional uptake of SO2 is coupled to the model nitrate prediction which affects the aerosol liquid water abundance and chemistry driving sulfate-nitrate-ammonium partitioning. An additional simulation of the haze pollution with heterogeneous uptake of SO2 to aerosol and simple improvements to the model nitrate simulation results in 30% less sulfate due to 40% less nitrate and aerosol water, and results in an underestimate of sulfate during the haze event. Future studies need to better consider the impact of model physical processes such as dry deposition and boundary layer mixing on the simulation of nitrate and the effect of improved nitrate simulations on the overall simulation of secondary inorganic aerosol (sulfate+nitrate+ammonium) in East Asia. Foreign emissions are rapidly changing, increasing the need to understand the impact of local emissions on PM2.5 in South Korea to ensure continued air quality improvements. [ABSTRACT FROM AUTHOR]

Published
2022
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16. Diagnosis of dust- and haze pollution-impacted PM10, PM2.5, and PM1 aerosols observed at Gosan Climate Observatory

Author

Shang, Xiaona, Lee, Meehye, Lim, Saehee, Gustafsson, Örjan, Lee, Gangwoong, and Chang, Limseok

Abstract

In East Asia, soil dust is a major component of aerosols and is mixed with various pollutants during transport, resulting in large uncertainty in climate and environmental impact assessment and relevant policymaking. To diagnose the influence of soil dust and anthropogenic pollution on bulk aerosol, we conducted long-term measurements of mass, water-soluble ions, and carbonaceous compounds of PM10, PM2.5, and PM1 at Gosan Climate Observatory, South Korea, from August 2007 to February 2012. The principle component analyses of all measured species reveal that the impact of anthropogenic pollution, soil dust, and agricultural fertilizer accounts for 46 %, 16 %, and 9 % of the total variance, respectively. Particularly, the loadings of agricultural component were high in the warmer months with the least occurrence of high concentration events and have increased over time. In mode analysis of PM10, PM2.5, and PM1 mass concentrations, the mean + σ was comparable to the 90th percentile and thus, suggested as a robust criterion that determines the substantial impact of soil dust and haze pollution on particulate matter. The results of this study imply that non-combustion sources such as soil dust will impose constraints to the reduction of PM2.5 as well as PM10 concentrations. In addition, questions are raised as to whether the yearly average concentration is suitable for environmental standard in northeast Asian region.

Published
2018

18. Identification and Chemical Characteristics of Distinctive Chinese Outflow Plumes Associated with Enhanced Submicron Aerosols at the Gosan Climate Observatory

Author

Shang, Xiaona, Lee, Meehye, Han, Jihyun, Kang, Eunha, Kim, Sang Woo, Gustafsson, Örjan, Chang, Limseok, Shang, Xiaona, Lee, Meehye, Han, Jihyun, Kang, Eunha, Kim, Sang Woo, Gustafsson, Örjan, and Chang, Limseok

Abstract

From October till November in 2010 and during March of 2011, when Chinese outflow events were frequently encountered, the chemical composition of submicron particles (PM1.0) was determined hourly using a particle-into-liquid sampler at the Gosan Climate Observatory. Three distinctive pollution plume types were identified: haze aerosols impacted by biomass combustion, nanoparticle bursts associated with outflow from Beijing, and saline soil particles from salt deposits. The highest PM1.0 concentration was observed in a fall haze event, under near-stagnant high-pressure synoptic conditions that were characterized by the lowest visibility (< 5 km) and the highest K+ and OC concentrations, indicating the influence of biomass combustion. When strong high-pressure systems develop in China, they efficiently export fresh urban emissions from Beijing to the study region, as distinguished by nanoparticle bursts of > 10(4) cm(-3) with highly elevated SO2 levels, even during the night. When air masses move rapidly from northeastern China to Gosan under strong wind conditions, the Ca2+ concentration, along with that of Cl- and Na+, is enhanced in PM1.0, which is attributed to the influence of saline transport from dry lakes. The results of this study reveal compositional details and information on both number and mass concentration for different PM1.0 plumes from anthropogenic and natural sources, all of which are associated with different kinds of Chinese outflow events.

Published
2018
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19. Tropospheric Ozone Assessment Report: Database and Metrics Data of Global Surface Ozone Observations

Author

Schultz, Martin G., Schröder, Sabine, Lyapina, Olga, Cooper, Owen, Galbally, Ian, Petropavlovskikh, Irina, von Schneidemesser, Erika, Tanimoto, Hiroshi, Elshorbany, Yasin, Naja, Ma, Seguel, Rodrigo, Dauert, Ute, Eckhardt, Paul, Feigenspahn, Stefan, Fiebig, Ma, Hjellbrekke, Anne-Gunn, Hong, You-Deog, Christian Kjeld, Peter, Koide, Hiroshi, Lear, Gary, Tarasick, David, Ueno, Mikio, Wallasch, Ma, Baumgardner, Darrel, Chuang, Ming-Tung, Gillett, Robert, Lee, Meehye, Molloy, Suzie, Moolla, Raeesa, Wang, Tao, Sharps, Katrina, Adame, Jose A., Ancellet, Gérard, Apadula, Francesco, Artaxo, Paul, Barlasina, Ma, Bogucka, Ma, Bonasoni, Paolo, Chang, Limseok, Colomb, Aurélie, Cuevas, Emilio, Cupeiro, Ma, Degorska, Anna, Ding, Aijun, Fröhlich, Ma, Frolova, Ma, Gadhavi, Harish, GHEUSI, François, Gilge, Stefan, Gonzalez, Ma, Gros, Valérie, Hamad, Samera H., Helmig, Detlev, Henriques, Diamantino, Hermansen, Ove, Holla, Robert, Huber, Jacques, Im, Ulas, Jaffe, Daniel A., Komala, Ninong, Kubistin, Dagmar, Lam, Ka-Se, Laurila, Tuomas, Lee, Haeyoung, Levy, Ilan, Mazzoleni, Claudio, Mazzoleni, Lynn, McClure-Begley, Audra, Mohamad, Maznorizan, Murovic, Marijana, Navarro-Comas, M., Nicodim, Florin, Parrish, David, Read, Katie A., Reid, Nick, Ries, Ludwig, Saxena, Pallavi, Schwab, James J., Scorgie, Yvonne, Senik, Irina, Simmonds, Peter, Sinha, Vinayak, Skorokhod, Andrey, Spain, Gerard, Spangl, Wolfgang, Spoor, Ronald, Springston, Stephen R., Steer, Kelvyn, Steinbacher, Martin, Suharguniyawan, Eka, Torre, Paul, Trickl, Thomas, Weili, Lin, Weller, Rolf, Xu, Xiaobin, Xue, Likun, Zhiqiang, Ma, Institut für Energie- und Klimaforschung - Troposphäre (IEK-8), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), CSIRO Climate Science Centre, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Institute for Advanced Sustainability Studies [Potsdam] (IASS), National Institute for Environmental Studies (NIES), NASA Goddard Space Flight Center (GSFC), Aryabhatta Research Institute of Observational Sciences (ARIES), Centro Nacional de Medio Ambiente (CENMA), German Federal Environmental Agency / Umweltbundesamt (UBA), Norwegian Institute for Air Research (NILU), National Institute of Environmental Research [South Korea] (NIER), European Environmental Agency (EEA), Japan Meteorological Agency (JMA), Office of Air and Radiation (OAR), US Environmental Protection Agency (EPA), Environment and Climate Change Canada, Centro de Ciencias de la Atmosfera [Mexico], Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), National Central University [Taiwan] (NCU), Department of Earth and Environmental Sciences [Korea], Korea University [Seoul], School of Geography, Archaeology and Environmental Studies [Johannesburg] (GAES), University of the Witwatersrand [Johannesburg] (WITS), Department of Civil and Environmental Engineering [Hong Kong] (CEE), The Hong Kong Polytechnic University [Hong Kong] (POLYU), Centre for Ecology and Hydrology [Bangor] (CEH), Natural Environment Research Council (NERC), Instituto Nacional de Técnica Aeroespacial (INTA), TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Ricerca sul Sistema Energetico (RSE), Instituto de Fisica da Universidade de São Paulo (IFUSP), Universidade de São Paulo = University of São Paulo (USP), Servicio Meteorológico Nacional [Buenos Aires], Institute of Meteorology and Water Management - National Research Institute (IMGW - PIB), CNR Institute of Atmospheric Sciences and Climate (ISAC), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Laboratoire de Météorologie Physique (LaMP), Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Izaña Atmospheric Research Center (IARC), Agencia Estatal de Meteorología (AEMet), Iinstitute of Environmental Protection - National Research Institute (IOS-PIB), School of Atmospheric Sciences [Nanjing], Nanjing University (NJU), Umweltbundesamt GmbH = Environment Agency Austria, Latvian Environment Geology and Meteorology Centre (LEGMC), National Atmospheric Research Laboratory [Tirupati] (NARL), Indian Space Research Organisation (ISRO), Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Zentrum für Medizin-Meteorologische Forschung (ZMMF), Deutscher Wetterdienst [Offenbach] (DWD), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Chimie Atmosphérique Expérimentale (CAE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), UMD School of Public Health, University of Maryland [College Park], University of Maryland System-University of Maryland System, Institute of Arctic Alpine Research [University of Colorado Boulder] (INSTAAR), University of Colorado [Boulder], Portuguese Institute for Sea and Atmosphere (IMPA), Norsk Institutt for Luftforskning (NILU), Meteorologisches Observatorium Hohenpeißenberg (MOHp), Department of Environmental Science [Roskilde] (ENVS), Aarhus University [Aarhus], School of Science, Technology, Engineering and Mathematics [Bothell] (STEM), University of Washington-Bothell, Indonesian National Institute of Aeronautics and Space (LAPAN), Finnish Meteorological Institute (FMI), National Institute of Meteorological Sciences (NIMS), Air Quality and Climate Change Division [Jerusalem], Israël Ministry of Environmental Protection, Michigan Technological University (MTU), Malaysian Meteorological Department (MetMalaysia), Ministry of Science, Technology and Innovation [Malaysia] (MOSTI), Slovenian Environment Agency, Administratia Nationala de Meteorologie, Department of Chemistry [York, UK], University of York [York, UK], Auckland Council, Jawaharlal Nehru University (JNU), Atmospheric Sciences Research Center (ASRC), University at Albany [SUNY], State University of New York (SUNY)-State University of New York (SUNY), New South Wales Office of Environment and Heritage, A.M.Obukhov Institute of Atmospheric Physics (IAP), Russian Academy of Sciences [Moscow] (RAS), School of Chemistry [Bristol], University of Bristol [Bristol], Indian Institute of Science Education and Research Mohali (IISER Mohali), National University of Ireland [Galway] (NUI Galway), National Institute for Public Health and the Environment [Bilthoven] (RIVM), Brookhaven National Laboratory [Upton, NY] (BNL), UT-Battelle, LLC-Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY)-U.S. Department of Energy [Washington] (DOE), South Australia Environment Protection Authority (EPA), Swiss Federal Laboratories for Materials Science and Technology [Thun] (EMPA), Indonesian Meteorological, Climatologicall and Geophysical Agency (BMKG), Environment Protection Authority Victoria (EPA ), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), China Meteorological Administration (CMA), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Shandong University, Universidad Nacional Autónoma de México (UNAM), Instituto de Fisica [Sao Paulo], Universidade de São Paulo (USP), Consiglio Nazionale delle Ricerche (CNR), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Umweltbundesamt GmbH/Environment Agency Austria, National Atmospheric Research Laboratory [Tirupathi] (NARL), Météo France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institute of Arctic and Alpine Research (INSTAAR), U.S. Department of Energy [Washington] (DOE)-UT-Battelle, LLC-Stony Brook University [SUNY] (SBU), and Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS)

Subjects
lcsh:GE1-350, tropospheric ozone, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], Monitoring, ground-level ozone, monitoring, database, Tropospheric ozone, Ecology and Environment, Atmospheric Sciences, Database, Earth sciences, ddc:550, Data and Information, Ground-level ozone, lcsh:Environmental sciences
Abstract

In support of the first Tropospheric Ozone Assessment Report (TOAR) a relational database of global surface ozone observations has been developed and populated with hourly measurement data and enhanced metadata. A comprehensive suite of ozone data products including standard statistics, health and vegetation impact metrics, and trend information, are made available through a common data portal and a web interface. These data form the basis of the TOAR analyses focusing on human health, vegetation, and climate relevant ozone issues, which are part of this special feature. Cooperation among many data centers and individual researchers worldwide made it possible to build the world’s largest collection of in-situ hourly surface ozone data covering the period from 1970 to 2015. By combining the data from almost 10,000 measurement sites around the world with global metadata information, new analyses of surface ozone have become possible, such as the first globally consistent characterisations of measurement sites as either urban or rural/remote. Exploitation of these global metadata allows for new insights into the global distribution, and seasonal and long-term changes of tropospheric ozone and they enable TOAR to perform the first, globally consistent analysis of present-day ozone concentrations and recent ozone changes with relevance to health, agriculture, and climate. Considerable effort was made to harmonize and synthesize data formats and metadata information from various networks and individual data submissions. Extensive quality control was applied to identify questionable and erroneous data, including changes in apparent instrument offsets or calibrations. Such data were excluded from TOAR data products. Limitations of a posteriori data quality assurance are discussed. As a result of the work presented here, global coverage of surface ozone data for scientific analysis has been significantly extended. Yet, large gaps remain in the surface observation network both in terms of regions without monitoring, and in terms of regions that have monitoring programs but no public access to the data archive. Therefore future improvements to the database will require not only improved data harmonization, but also expanded data sharing and increased monitoring in data-sparse regions. This work is part of the Tropospheric Ozone Assessment Report (TOAR) which was supported by the International Global Atmospheric Chemistry (IGAC) project, the National Oceanic and Atmospheric Administration (NOAA), Forschungszentrum Jülich, and the World Meteorological Organisation (WMO). Many institutions and agencies sup¬ported the implementation of the measurements, and the processing, quality assurance, and submission of the data contained in the TOAR database.

Published
2017

22. Observed and Modeled Mass Concentrations of Organic Aerosols and PM2.5 at Three Remote Sites around the East China Sea: Roles of Chemical Aging

Author

Kanaya, Yugo, primary, Matsui, Hitoshi, additional, Taketani, Fumikazu, additional, Pan, Xiaole, additional, Komazaki, Yuichi, additional, Wang, Zifa, additional, Chang, Limseok, additional, Kang, Daeil, additional, Choi, Minhyeok, additional, Kim, Sung-Yong, additional, Kang, Chang-Hee, additional, Takami, Akinori, additional, Tanimoto, Hiroshi, additional, Ikeda, Kohei, additional, and Yamaji, Kazuyo, additional

Published
2017
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25. Observed Chemical Characteristics of Long-Range Transported Particles at a Marine Background Site in Korea

Author

Cayetano, MyleneG., Kim, YoungJ., Jung, JinSang, Batmunkh, Tsatsral, Lee, KwangYul, Kim, SungYong, Kim, KwanChul, Kim, DongGyu, Lee, SukJo, Kim, JeongSoo, and Chang, LimSeok

Abstract

ABSTRACTDeokjeok Island is located off the west coast of the Korean Peninsula and is a suitable place to monitor the long-range transport of air pollutants from the Asian continent. In addition to pollutants, Asian dust particles are also transported to the island during long-range transport events. Episodic transport of dust and secondary particles was observed during intensive measurements in the spring (March 31–April 11) and fall (October 13–26) of 2009. In this study, the chemical characteristics of long-range-transported particles were investigated based on highly time-resolved ionic measurements with a particle-into-liquid system coupled with an online ion chromatograph (PILS-IC) that simultaneously measures concentrations of cations (Li+, Na+, NH4+, K+, Ca2+, Mg2+) and anions (F−, Cl−, NO3−, SO42−). The aerosol optical thickness (AOT) distribution retrieved by the modified Bremen Aerosol Retrieval (M-BAER) algorithm from moderate resolution imaging spectroradiometer (MODIS) satellite data confirmed the presence of a thick aerosol plume coming from the Asian continent towards the Korean peninsula. Seven distinctive events involving the long-range transport (LRT) of aerosols were identified and studied, the chemical components of which were strongly related to sector sources. Enrichment of acidic secondary aerosols on mineral dust particles, and even of sea-salt components, during transport was observed in this study. Backward trajectory, chemical analyses, and satellite aerosol retrievals identified two distinct events: a distinctively high [Ca2++Mg2+]/[Na+] ratio (>2.0), which was indicative of a preprocessed mineral dust transport event, and a low [Ca2++Mg2+]/[Na+] ratio (<2.0), which was indicative of severe aging of sea-salt components on the processed dust particles. Particulate Cl−was depleted by up to 85% in spring and 50% in the fall. A consistent fraction of carbonate replacement (FCR) averaged 0.53 in spring and 0.55 in the fall. Supporting evidences of Cl−enrichment on the marine boundary layer prior to a dust front were also found.Supplemental materials are available for this article. Go to the publisher's online edition of the Journal of the Air & Waste Management Associationfor sector and air mass classifications of clean and LRT cases.IMPLICATIONSThe chemical characteristics of aerosol particles evolve as they undergo long-range transport (LRT) in the atmosphere from the source region. Aside from meteorological conditions, the signature of the source region influences the loading and chemical characteristics of LRT aerosols.

Published
2011
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26. Development of the Global to Mesoscale Air Quality Forecast and Analysis System (GMAF) and Its Application to PM 2.5 Forecast in Korea.

Author

Cho, SeogYeon, Park, HyeonYeong, Son, JeongSeok, and Chang, LimSeok

Subjects
AIR quality, BIAS correction (Topology), PARTICULATE matter, PRECIPITATION scavenging, FORECASTING, AIR pollutants, KALMAN filtering, KEY performance indicators (Management)
Abstract

This paper presents the development of the global to mesoscale air quality forecast and analysis system (GMAF) and its application to particulate matter under 2.5 μm (PM2.5) forecast in Korea. The GMAF combined a mesoscale model with a global data assimilation system by the grid nudging based four-dimensional data assimilation (FDDA). The grid nudging based FDDA developed for weather forecast and analysis was extended to air quality forecast and analysis for the first time as an alternative to data assimilation of surface monitoring data. The below cloud scavenging module and the secondary organic formation module of the community multiscale air quality model (CMAQ) were modified and subsequently verified by comparing with the PM speciation observation from the PM supersite. The observation data collected from the criteria air pollutant monitoring networks in Korea were used to evaluate forecast performance of GMAF for the year of 2016. The GMAF showed good performance in forecasting the daily mean PM2.5 concentrations at Seoul; the correlation coefficient between the observed and forecasted PM2.5 concentrations was 0.78; the normalized mean error was 25%; the probability of detection for the events exceeding the national PM2.5 standard was 0.81 whereas the false alarm rate was only 0.38. Both the hybrid bias correction technique and the Kalman filter bias adjustment technique were implemented into the GMAF as postprocessors. For the continuous and the categorical performance metrics examined, the Kalman filter bias adjustment technique performed better than the hybrid bias correction technique. [ABSTRACT FROM AUTHOR]

Published
2021
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27. Tropospheric Ozone Assessment Report: Database and Metrics Data of Global Surface Ozone Observations

Author

Schultz, Martin G., Schröder, Sabine, Lyapina, Olga, Cooper, Owen, Galbally, Ian, Petropavlovskikh, Irina, Von Schneidemesser, Erika, Tanimoto, Hiroshi, Elshorbany, Yasin, Naja, Manish, Seguel, Rodrigo, Dauert, Ute, Eckhardt, Paul, Feigenspahn, Stefan, Fiebig, Markus, Hjellbrekke, Anne-Gunn, Hong, You-Deog, Christian Kjeld, Peter, Koide, Hiroshi, Lear, Gary, Tarasick, David, Ueno, Mikio, Wallasch, Markus, Baumgardner, Darrel, Chuang, Ming-Tung, Gillett, Robert, Lee, Meehye, Molloy, Suzie, Moolla, Raeesa, Wang, Tao, Sharps, Katrina, Adame, Jose A., Ancellet, Gerard, Apadula, Francesco, Artaxo, Paulo, Barlasina, Maria, Bogucka, Magdalena, Bonasoni, Paolo, Chang, Limseok, Colomb, Aurelie, Cuevas, Emilio, Cupeiro, Manuel, Degorska, Anna, Ding, Aijun, Fröhlich, Marina, Frolova, Marina, Gadhavi, Harish, Gheusi, Francois, Gilge, Stefan, Gonzalez, Margarita Y., Gros, Valerie, Hamad, Samera H., Helmig, Detlev, Henriques, Diamantino, Hermansen, Ove, Holla, Robert, Huber, Jacques, Im, Ulas, Jaffe, Daniel A., Komala, Ninong, Kubistin, Dagmar, Lam, Ka-Se, Laurila, Tuomas, Lee, Haeyoung, Levy, Ilan, Mazzoleni, Claudio, Mazzoleni, Lynn, McClure-Begley, Audra, Mohamad, Maznorizan, Murovic, Marijana, Navarro-Comas, M., Nicodim, Florin, Parrish, David, Read, Katie A., Reid, Nick, Ries, Ludwig, Saxena, Pallavi, Schwab, James J., Scorgie, Yvonne, Senik, Irina, Simmonds, Peter, Sinha, Vinayak, Skorokhod, Andrey, Spain, Gerard, Spangl, Wolfgang, Spoor, Ronald, Springston, Stephen R., Steer, Kelvyn, Steinbacher, Martin, Suharguniyawan, Eka, Torre, Paul, Trickl, Thomas, Weili, Lin, Weller, Rolf, Xu, Xiaobin, Xue, Likun, and Zhiqiang, Ma

Subjects
13. Climate action, 15. Life on land, 6. Clean water

28. The Korea-United States Air Quality (KORUS-AQ) field study.

Author

Crawford JH, Ahn JY, Al-Saadi J, Chang L, Emmons LK, Kim J, Lee G, Park JH, Park RJ, Woo JH, Song CK, Hong JH, Hong YD, Lefer BL, Lee M, Lee T, Kim S, Min KE, Yum SS, Shin HJ, Kim YW, Choi JS, Park JS, Szykman JJ, Long RW, Jordan CE, Simpson IJ, Fried A, Dibb JE, Cho S, and Kim YP

Abstract

The Korea-United States Air Quality (KORUS-AQ) field study was conducted during May-June 2016. The effort was jointly sponsored by the National Institute of Environmental Research of South Korea and the National Aeronautics and Space Administration of the United States. KORUS-AQ offered an unprecedented, multi-perspective view of air quality conditions in South Korea by employing observations from three aircraft, an extensive ground-based network, and three ships along with an array of air quality forecast models. Information gathered during the study is contributing to an improved understanding of the factors controlling air quality in South Korea. The study also provided a valuable test bed for future air quality-observing strategies involving geostationary satellite instruments being launched by both countries to examine air quality throughout the day over Asia and North America. This article presents details on the KORUS-AQ observational assets, study execution, data products, and air quality conditions observed during the study. High-level findings from companion papers in this special issue are also summarized and discussed in relation to the factors controlling fine particle and ozone pollution, current emissions and source apportionment, and expectations for the role of satellite observations in the future. Resulting policy recommendations and advice regarding plans going forward are summarized. These results provide an important update to early feedback previously provided in a Rapid Science Synthesis Report produced for South Korean policy makers in 2017 and form the basis for the Final Science Synthesis Report delivered in 2020.

Published
2021
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