MICS-Asia II: Model intercomparison and evaluation of ozone and relevant species

Han, Zhiwei; Sakurai, Tatsuya; Ueda, Hiromasa; Carmichael, G. R.; Streets, David G.; Hayami, Hiroshi; Wang, Z.; Holloway, Tracey; Engardt, Magnuz; Hozumi, Yuta; Park, S. U.; Kajino, Mizuo; Sartelet, Karine; Fung, Christopher; Bennet, Cecilia; Thongboonchoo, Narisara; Tang, Youhua; Chang, Albert Y.; Matsuda, Kazuhide; Amann, Markus

doi:10.1016/j.atmosenv.2007.07.031

Cited by 73 publications

(50 citation statements)

References 34 publications

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“…4.2), however, generally underpredicts O 3 at altitudes above 3 km. Carmichael et al (2003c) and Han et al (2007) found a similar pattern with the lowest correlation coefficient for O 3 above 3 km, using other regional models not applying top BCs of chemical species. The DC-8 flight on 27 March during the TRACE-P campaign was intended to examine convective outflow and stratospheric influence.…”

Section: Impacts Of Boundary Conditionssupporting

confidence: 49%

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Multi-scale model analysis of boundary layer ozone over East Asia

et al. 2009

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Abstract. This study employs the regional Community Multiscale Air Quality (CMAQ) model to examine seasonal and diurnal variations of boundary layer ozone (O 3 ) over East Asia. We evaluate the response of model simulations of boundary layer O 3 to the choice of chemical mechanisms, meteorological fields, boundary conditions, and model resolutions. Data obtained from surface stations, aircraft measurements, and satellites are used to advance understanding of O 3 chemistry and mechanisms over East Asia and evaluate how well the model represents the observed features. Satellite measurements and model simulations of summertime rainfall are used to assess the impact of the Asian monsoon on O 3 production. Our results suggest that summertime O 3 over Central Eastern China is highly sensitive to cloud cover and monsoonal rainfall over this region. Thus, accurate simulation of the East Asia summer monsoon is critical to model analysis of atmospheric chemistry over China. Examination of hourly summertime O 3 mixing ratios from sites in Japan confirms the important role of diurnal boundary layer fluctuations in controlling ground-level O 3 . By comparing five different model configurations with observations at six sites, the specific mechanisms responsible for model behavior are identified and discussed. In particular, vertical mixing, urban chemistry, and dry deposition depending on boundary layer height strongly affect model ability to capture observed behavior. Central Eastern China appears to be the most sensitive region in our study to the choice of chemical mechanisms. Evaluation with TRACE-P aircraft measurements reveals that neither the CB4 nor the SAPRC99 mechCorrespondence to: M. Lin (mlin26@wisc.edu) anisms consistently capture observed behavior of key photochemical oxidants in springtime. However, our analysis finds that SAPRC99 performs somewhat better in simulating mixing ratios of H 2 O 2 (hydrogen peroxide) and PAN (peroxyacetyl nitrate) at flight altitudes below 1 km. The high level of uncertainty associated with O 3 production in Central Eastern China poses a major problem for regional air quality management. This highly polluted, densely populated region would greatly benefit from comprehensive air quality monitoring and the development of model chemical mechanisms appropriate to this unique atmospheric environment.

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Section: Impacts Of Boundary Conditionssupporting

confidence: 49%

“…For most studies focusing on boundary layer pollution, vertical layer collapsing in the upper troposphere is generally performed to alleviate computational costs (e.g. Arnold and Dennis, 2006;Lin et al, 2008a;Han et al, 2007;Fan et al, 2005). The coarse vertical resolution in the upper troposphere might not resolve the tropopause.…”

Section: Boundary Conditionsmentioning

confidence: 99%

Multi-scale model analysis of boundary layer ozone over East Asia

et al. 2009

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“…For sulfate, the dry deposition velocity is parameterized according to the work of Walcek et al (1986). Gas phase chemistry can be represented by either a condensed mechanism developed (He and Huang, 1996;An et al, 2002;Han et al, 2006) on the basis of Atkinson et al (1982) or a complete version of the CB-IV mechanism (Gery et al, 1989), with an updated isoprene mechanism. The model ISSOROPIA1.7 (http://nenes.eas.gatech.…”

Section: Off-line Coupled Meteorology-chemical Transport Model Systemmentioning

confidence: 99%

“…The RAQM model was developed in the Asian Center for Air Pollution research (ACAP), formerly the Acid Deposition and Oxidant Research Center (ADORC), the network center of the Acid Deposition Monitoring Network Center in East Asia (EANET). The model has been used for various air pollution studies and substantial modifications have been made based on comparison and evaluation with extensive and longterm monitoring data in the Asian region Han et al, 2004, 2006Han, 2007;Han et al, 2008). The model has been used in the MICS-Asia Phase II study and the LTP project (Choi et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution of the source-receptor relationship of sulfur in Northeast Asia

et al. 2011

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Abstract. The spatial distribution of the source-receptor relationship (SRR) of sulfur over Northeast Asia was examined using a chemical transport model (RAQM) off-line coupled with a meteorological model (MM5). The simulation was conducted for the entire year of 2002. The results were evaluated using monitoring data for six remote stations of the Acid Deposition Monitoring Network in East Asia (EANET). The modeled SO 2 and O 3 concentrations agreed well with the observations quantitatively. The modeled aerosol and wet deposition fluxes of SO 2− 4 were underestimated by 30 % and 50 %, respectively. The domain was divided into 5 source-receptor regions: (I) North China; (II) Central China; (III) South China; (IV) South Korea; and (V) Japan. The sulfur deposition in each receptor region amounted to about 50-75 % of the emissions from the same region. The largest contribution to the deposition in each region was originated from the same region, accounting for 53-84 %. The second largest contribution was due to Region II, supplying 14-43 %. The spatial distributions of the SRRs revealed that subregional values varied by about two times more than regional averages due to nonuniformity across the deposition fields. Examining the spatial distributions of the deposition fields was important for identifying subregional areas where the deposition was highest within a receptor region. The horizontal distribution changed substantially according to season.

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“…These daily-averaged mixing ratios at each site are then compared with WRF/Chem results for the 2000 baseline scenario within the grid box that contains the geographical location and altitude of the stations. Observations are taken from the Acid Deposition Monitoring Network in East Asia (EANET), which is used widely for model evaluation Han et al, 2008;Kurokawa et al, 2009;Wang et al, 2010). Seven statistical measures that are used to evaluate regional air quality models (Wang et al, 2010) are presented in Table 7 with their definitions.…”

Section: Comparison With Measurementsmentioning

confidence: 99%