Effect of different emission inventories on modeled ozone and carbon monoxide in Southeast Asia

© Author(s) 2014. In order to improve our understanding of air quality in Southeast Asia, the anthropogenic emissions inventory must be well represented. In this work, we apply different anthropogenic emission inventories in the Weather Research and Forecasting Model with Chemistry (WRF-Chem) versio...

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Main Authors: Amnuaylojaroen,T., Barth,M.C., Emmons,L.K., Carmichael,G.R., Kreasuwun,J., Prasitwattanaseree,S., Chantara,S.
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Published: European Geosciences Union 2015
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http://cmuir.cmu.ac.th/handle/6653943832/38766
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spelling th-cmuir.6653943832-387662015-06-16T07:54:10Z Effect of different emission inventories on modeled ozone and carbon monoxide in Southeast Asia Amnuaylojaroen,T. Barth,M.C. Emmons,L.K. Carmichael,G.R. Kreasuwun,J. Prasitwattanaseree,S. Chantara,S. Atmospheric Science © Author(s) 2014. In order to improve our understanding of air quality in Southeast Asia, the anthropogenic emissions inventory must be well represented. In this work, we apply different anthropogenic emission inventories in the Weather Research and Forecasting Model with Chemistry (WRF-Chem) version 3.3 using Model for Ozone and Related Chemical Tracers (MOZART) gas-phase chemistry and Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) aerosols to examine the differences in predicted carbon monoxide (CO) and ozone (O3) surface mixing ratios for Southeast Asia in March and December 2008. The anthropogenic emission inventories include the Reanalysis of the TROpospheric chemical composition (RETRO), the Intercontinental Chemical Transport Experiment-Phase B (INTEX-B), the MACCity emissions (adapted from the Monitoring Atmospheric Composition and Climate and megacity Zoom for the Environment projects), the Southeast Asia Composition, Cloud, Climate Coupling Regional Study (SEAC4RS) emissions, and a combination of MACCity and SEAC4RS emissions. Biomass-burning emissions are from the Fire Inventory from the National Center for Atmospheric Research (NCAR) (FINNv1) model. WRF-Chem reasonably predicts the 2 m temperature, 10 m wind, and precipitation. In general, surface CO is underpredicted by WRF-Chem while surface O3 is overpredicted. The NO2 tropospheric column predicted by WRF-Chem has the same magnitude as observations, but tends to underpredict the NO2 column over the equatorial ocean and near Indonesia. Simulations using different anthropogenic emissions produce only a slight variability of O3 and CO mixing ratios, while biomass-burning emissions add more variability. The different anthropogenic emissions differ by up to 30% in CO emissions, but O3 and CO mixing ratios averaged over the land areas of the model domain differ by ∼4.5% and ∼8%, respectively, among the simulations. Biomass-burning emissions create a substantial increase for both O3 and CO by ∼29% and ∼16%, respectively, when comparing the March biomass-burning period to the December period with low biomass-burning emissions. The simulations show that none of the anthropogenic emission inventories are better than the others for predicting O3 surface mixing ratios. However, the simulations with different anthropogenic emission inventories do differ in their predictions of CO surface mixing ratios producing variations of ∼30% for March and 10-20% for December at Thai surface monitoring sites. 2015-06-16T07:54:10Z 2015-06-16T07:54:10Z 2014-12-08 Article 16807316 2-s2.0-84906747194 10.5194/acp-14-12983-2014 http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84906747194&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/38766 European Geosciences Union
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Atmospheric Science
spellingShingle Atmospheric Science
Amnuaylojaroen,T.
Barth,M.C.
Emmons,L.K.
Carmichael,G.R.
Kreasuwun,J.
Prasitwattanaseree,S.
Chantara,S.
Effect of different emission inventories on modeled ozone and carbon monoxide in Southeast Asia
description © Author(s) 2014. In order to improve our understanding of air quality in Southeast Asia, the anthropogenic emissions inventory must be well represented. In this work, we apply different anthropogenic emission inventories in the Weather Research and Forecasting Model with Chemistry (WRF-Chem) version 3.3 using Model for Ozone and Related Chemical Tracers (MOZART) gas-phase chemistry and Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) aerosols to examine the differences in predicted carbon monoxide (CO) and ozone (O3) surface mixing ratios for Southeast Asia in March and December 2008. The anthropogenic emission inventories include the Reanalysis of the TROpospheric chemical composition (RETRO), the Intercontinental Chemical Transport Experiment-Phase B (INTEX-B), the MACCity emissions (adapted from the Monitoring Atmospheric Composition and Climate and megacity Zoom for the Environment projects), the Southeast Asia Composition, Cloud, Climate Coupling Regional Study (SEAC4RS) emissions, and a combination of MACCity and SEAC4RS emissions. Biomass-burning emissions are from the Fire Inventory from the National Center for Atmospheric Research (NCAR) (FINNv1) model. WRF-Chem reasonably predicts the 2 m temperature, 10 m wind, and precipitation. In general, surface CO is underpredicted by WRF-Chem while surface O3 is overpredicted. The NO2 tropospheric column predicted by WRF-Chem has the same magnitude as observations, but tends to underpredict the NO2 column over the equatorial ocean and near Indonesia. Simulations using different anthropogenic emissions produce only a slight variability of O3 and CO mixing ratios, while biomass-burning emissions add more variability. The different anthropogenic emissions differ by up to 30% in CO emissions, but O3 and CO mixing ratios averaged over the land areas of the model domain differ by ∼4.5% and ∼8%, respectively, among the simulations. Biomass-burning emissions create a substantial increase for both O3 and CO by ∼29% and ∼16%, respectively, when comparing the March biomass-burning period to the December period with low biomass-burning emissions. The simulations show that none of the anthropogenic emission inventories are better than the others for predicting O3 surface mixing ratios. However, the simulations with different anthropogenic emission inventories do differ in their predictions of CO surface mixing ratios producing variations of ∼30% for March and 10-20% for December at Thai surface monitoring sites.
format Article
author Amnuaylojaroen,T.
Barth,M.C.
Emmons,L.K.
Carmichael,G.R.
Kreasuwun,J.
Prasitwattanaseree,S.
Chantara,S.
author_facet Amnuaylojaroen,T.
Barth,M.C.
Emmons,L.K.
Carmichael,G.R.
Kreasuwun,J.
Prasitwattanaseree,S.
Chantara,S.
author_sort Amnuaylojaroen,T.
title Effect of different emission inventories on modeled ozone and carbon monoxide in Southeast Asia
title_short Effect of different emission inventories on modeled ozone and carbon monoxide in Southeast Asia
title_full Effect of different emission inventories on modeled ozone and carbon monoxide in Southeast Asia
title_fullStr Effect of different emission inventories on modeled ozone and carbon monoxide in Southeast Asia
title_full_unstemmed Effect of different emission inventories on modeled ozone and carbon monoxide in Southeast Asia
title_sort effect of different emission inventories on modeled ozone and carbon monoxide in southeast asia
publisher European Geosciences Union
publishDate 2015
url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84906747194&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/38766
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