New approach to monitor transboundary particulate pollution over Northeast Asia

Abstract. A new approach to more accurately monitor and evaluate transboundary particulate matter (PM) pollution is introduced based on aerosol optical products from Korea's Geostationary Ocean Color Imager (GOCI). The area studied is Northeast Asia (including eastern parts of China, the Korean peninsula and Japan), where GOCI has been monitoring since June 2010. The hourly multi-spectral aerosol optical data that were retrieved from GOCI sensor onboard geostationary satellite COMS (Communication, Ocean, and Meteorology Satellite) through the Yonsei aerosol retrieval algorithm were first presented and used in this study. The GOCI-retrieved aerosol optical data are integrated with estimated aerosol distributions from US EPA Models-3/CMAQ (Community Multi-scale Air Quality) v4.5.1 model simulations via data assimilation technique, thereby making the aerosol data spatially continuous and available even for cloud contamination cells. The assimilated aerosol optical data are utilized to provide quantitative estimates of transboundary PM pollution from China to the Korean peninsula and Japan. For the period of 1 April to 31 May, 2011 this analysis yields estimates that AOD as a proxy for PM2.5 or PM10 during long-range transport events increased by 117–265% compared to background average AOD (aerosol optical depth) at the four AERONET sites in Korea, and average AOD increases of 121% were found when averaged over the entire Korean peninsula. This paper demonstrates that the use of multi-spectral AOD retrievals from geostationary satellites can improve estimates of transboundary PM pollution. Such data will become more widely available later this decade when new sensors such as the GEMS (Geostationary Environment Monitoring Spectrometer) and GOCI-2 are scheduled to be launched.

[1]  H. Levy,et al.  Fate of US and Canadian combustion nitrogen emissions , 1987, Nature.

[2]  Gregory R. Carmichael,et al.  Seasonal source: Receptor relationships in Asia , 1998 .

[3]  V. Ramanathan,et al.  Regional aerosol distribution and its long‐range transport over the Indian Ocean , 2000 .

[4]  Johannes W. Kaiser,et al.  Atmospheric Chemistry and Physics a Transboundary Transport Episode of Nitrogen Dioxide as Observed from Gome and Its Impact in the Alpine Region , 2004 .

[5]  Jenny L. Hand,et al.  An examination of the physical and optical properties of aerosols collected in the IMPROVE program , 2007 .

[6]  Toshihiko Takemura,et al.  Consistency of the aerosol type classification from satellite remote sensing during the Atmospheric Brown Cloud–East Asia Regional Experiment campaign , 2007 .

[7]  Abderrahim Bentamy,et al.  Characterization of ASCAT measurements based on buoy and QuikSCAT wind vector observations , 2008 .

[8]  A. Goldstein,et al.  Atmospheric Chemistry and Physics Global Isoprene Emissions Estimated Using Megan, Ecmwf Analyses and a Detailed Canopy Environment Model , 2022 .

[9]  Allen L Robinson,et al.  Rethinking Organic Aerosols: Semivolatile Emissions and Photochemical Aging , 2007, Science.

[10]  D. Jacob,et al.  Mapping annual mean ground‐level PM2.5 concentrations using Multiangle Imaging Spectroradiometer aerosol optical thickness over the contiguous United States , 2004 .

[11]  Yoram J. Kaufman,et al.  Annual cycle of global distributions of aerosol optical depth from integration of MODIS retrievals and GOCART model simulations , 2003 .

[12]  Yoram J. Kaufman,et al.  Aerosol distribution in the Northern Hemisphere during ACE‐Asia: Results from global model, satellite observations, and Sun photometer measurements , 2004 .

[13]  W. Malm,et al.  Spatial and seasonal trends in particle concentration and optical extinction in the United States , 1994 .

[14]  R. Martin,et al.  Estimating ground-level PM2.5 using aerosol optical depth determined from satellite remote sensing , 2006 .

[15]  Basil W. Coutant,et al.  Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality , 2004 .

[16]  Tracey Holloway,et al.  Intercontinental transport of air pollution: will emerging science lead to a new hemispheric treaty? , 2003, Environmental science & technology.

[17]  C. Songa,et al.  Dust composition and mixing state inferred from airborne composition measurements during ACE-Asia C 130 Flight # 6 , 2004 .

[18]  L. Kleinman,et al.  Chemical and physical properties of plumes of anthropogenic pollutants transported over the North Atlantic during the North Atlantic Regional Experiment , 1996 .

[19]  W. Collins,et al.  Simulating aerosols using a chemical transport model with assimilation of satellite aerosol retrievals: Methodology for INDOEX , 2001 .

[20]  S. Kondragunta,et al.  Toward aerosol optical depth retrievals over land from GOES visible radiances: determining surface reflectance , 2005 .

[21]  G. Grell,et al.  A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5) , 1994 .

[22]  Jen-Ping Chen,et al.  Analysis of the relationship between MODIS aerosol optical depth and particulate matter from 2006 to 2008 , 2011 .

[23]  S. Rao,et al.  Assessing the effects of transboundary ozone pollution between Ontario, Canada and New York, USA. , 2003, Environmental pollution.

[24]  M. Molina,et al.  Secondary organic aerosol formation from anthropogenic air pollution: Rapid and higher than expected , 2006 .

[25]  Yoram J. Kaufman,et al.  Aerosol optical depth retrieval from GOES-8: Uncertainty study and retrieval validation over South America , 2002 .

[26]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[27]  T. Eck,et al.  Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements , 2000 .

[28]  D. Byun,et al.  Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System , 2006 .

[29]  G. Carmichael,et al.  A three‐dimensional modeling investigation of the evolution processes of dust and sea‐salt particles in east Asia , 2001 .

[30]  Eric P. Shettle,et al.  Atmospheric Aerosols: Global Climatology and Radiative Characteristics , 1991 .

[31]  Mitchell D. Goldberg,et al.  Remote sensing of aerosol and radiation from geostationary satellites , 2006 .

[32]  P. Koepke,et al.  Optical Properties of Aerosols and Clouds: The Software Package OPAC , 1998 .

[33]  Ping Yang,et al.  Improvement of aerosol optical depth retrieval from MODIS spectral reflectance over the global ocean using new aerosol models archived from AERONET inversion data and tri-axial ellipsoidal dust database , 2011 .

[34]  Meigen Zhang,et al.  Intercomparison of chemical mechanisms in the Models-3 Community Multi-scale Air Quality (CMAQ) modeling system , 2001 .

[35]  D. Jacob,et al.  Estimating ground-level PM2.5 in the eastern United States using satellite remote sensing. , 2005, Environmental science & technology.

[36]  E. Vermote,et al.  Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer , 1997 .

[37]  D. Chu,et al.  Improving National Air Quality Forecasts with Satellite Aerosol Observations , 2005 .

[38]  I. Uno,et al.  Investigating the response of East Asian ozone to Chinese emission changes using a linear approach , 2012 .

[39]  Philip B. Russell,et al.  Geostationary satellite retrievals of aerosol optical thickness during ACE‐Asia , 2003 .

[40]  Stefan Wunderle,et al.  Remote sensing of aerosol optical depth over central Europe from MSG-SEVIRI data and accuracy assessment with ground-based AERONET measurements , 2007 .

[41]  Youhua Tang,et al.  Anthropogenic aerosol radiative forcing in Asia derived from regional models with atmospheric and aerosol data assimilation , 2010 .

[42]  G. Carmichael,et al.  Transfer of reactive nitrogen in Asia: development and evaluation of a source-receptor model , 2002 .

[43]  H. S. Lim,et al.  Retrieving aerosol optical depth using visible and mid‐IR channels from geostationary satellite MTSAT‐1R , 2008 .

[44]  A. Clarke,et al.  Dust composition and mixing state inferred from airborne composition measurements during ACE-Asia C130 Flight #6 , 2005 .

[45]  V. Ramanathan,et al.  A regional scale chemical transport modeling of Asian aerosols with data assimilation of AOD observations using optimal interpolation technique , 2008 .

[46]  T. Eck,et al.  Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols , 1999 .

[47]  R. H. Maryon,et al.  Modelling the long-range transport of secondary PM10 to the UK , 2000 .

[48]  Pierre Tulet,et al.  Description of the Mesoscale nonhydrostatic chemistry model and application to a transboundary pollution episode between northern France and southern England. , 2003 .

[49]  G. Carmichael,et al.  A Lagrangian model investigation of chemico-microphysical evolution of northeast Asian pollution plumes within the MBL during TRACE-P , 2007 .

[50]  Jun Wang,et al.  Intercomparison between satellite‐derived aerosol optical thickness and PM2.5 mass: Implications for air quality studies , 2003 .

[51]  Keiya Yumimoto,et al.  Direct radiative effect of aerosols estimated using ensemble‐based data assimilation in a global aerosol climate model , 2011 .

[52]  M. Chin,et al.  Natural and transboundary pollution influences on sulfate‐nitrate‐ammonium aerosols in the United States: Implications for policy , 2004 .

[53]  R. Draxler.  An Overview of the HYSPLIT_4 Modelling System for Trajectories, Dispersion, and Deposition , 1998 .

[54]  Kwon-Ho Lee,et al.  An investigation into seasonal and regional aerosol characteristics in East Asia using model-predicted and remotely-sensed aerosol properties , 2008 .

[55]  C. Song,et al.  A study on the aerosol optical properties over East Asia using a combination of CMAQ-simulated aerosol optical properties and remote-sensing data via a data assimilation technique , 2011 .

[56]  Soon-Ung Park,et al.  Parameterization of Asian dust (Hwangsa) particle-size distributions for use in dust emission models , 2004 .

[57]  J. Ryu,et al.  Algorithm for retrieval of aerosol optical properties over the ocean from the Geostationary Ocean Color Imager , 2010 .

[58]  Chang‐Hoi Ho,et al.  Estimates of ground-level aerosol mass concentrations using a chemical transport model with Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol observations over East Asia , 2009 .

[59]  K. Masuda,et al.  Assessment of the nonsphericity of mineral dust from geostationary satellite measurements , 2002 .

[60]  Sundar A. Christopher,et al.  GOES-8 and NOAA-14 AVHRR retrieval of smoke aerosol optical thickness during SCAR-B , 2002 .

[61]  S. K. Akagi,et al.  The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning , 2010 .

[62]  G. Leeuw,et al.  Exploring the relation between aerosol optical depth and PM 2.5 at Cabauw, the Netherlands , 2008 .

[63]  Seungbum Kim,et al.  Dust Model Intercomparison Between ADAM and CFORS/Dust For Asian Dust Case in 2007 (March 28 - April 3) , 2011 .

[64]  David G. Streets,et al.  Surface ozone background in the United States: Canadian and Mexican pollution influences , 2009 .

[65]  David J. Diner,et al.  MISR aerosol optical depth retrievals over southern Africa during the SAFARI‐2000 Dry Season Campaign , 2001 .

[66]  Teruyuki Nakajima,et al.  Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and sun photometer measurements , 2002 .