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        Diurnal variation of aerosol optical depth and PM<sub>2.5</sub> in South Korea: a synthesis from AERONET, satellite (GOCI), KORUS-AQ observation, and the WRF-Chem model

        Lennartson, Elizabeth M.,Wang, Jun,Gu, Juping,Castro Garcia, Lorena,Ge, Cui,Gao, Meng,Choi, Myungje,Saide, Pablo E.,Carmichael, Gregory R.,Kim, Jhoon,Janz, Scott J. Copernicus GmbH 2018 Atmospheric Chemistry and Physics Vol.18 No.20

        <P><p><strong>Abstract.</strong> Spatial distribution of diurnal variations of aerosol properties in South Korea, both long term and short term, is studied by using 9 AERONET (AErosol RObotic NETwork) sites from 1999 to 2017 and an additional 10 sites during the KORUS-AQ (Korea-United States Air Quality) field campaign in May and June of 2016. The extent to which the WRF-Chem (Weather Research and Forecasting coupled with Chemistry) model and the GOCI (Geostationary Ocean Color Imager) satellite retrieval can describe these variations is also analyzed. On a daily average, aerosol optical depth (AOD) at 550<span class='thinspace'></span>nm is 0.386 and shows a diurnal variation of 20 to <span class='inline-formula'>−30</span><span class='thinspace'></span>% in inland sites, which is larger than the AOD of 0.308 and diurnal variation of <span class='inline-formula'>±20</span><span class='thinspace'></span>% seen in coastal sites. For all the inland and coastal sites, AERONET, GOCI, and WRF-Chem, and observed PM<span class='inline-formula'><sub>2.5</sub></span> (particulate matter with aerodynamic diameter less than 2.5<span class='thinspace'></span><span class='inline-formula'>µ</span>m) data generally show dual peaks for both AOD and PM<span class='inline-formula'><sub>2.5</sub></span>, one in the morning (often at <span class='inline-formula'>∼08</span>:00-10:00<span class='thinspace'></span>KST, Korea Standard Time, especially for PM<span class='inline-formula'><sub>2.5</sub>)</span> and another in the early afternoon (<span class='inline-formula'>∼14</span>:00<span class='thinspace'></span>KST, albeit for PM<span class='inline-formula'><sub>2.5</sub></span> this peak is smaller and sometimes insignificant). In contrast, Ångström exponent values in all sites are between 1.2 and 1.4 with the exception of the inland rural sites having smaller values near 1.0 during the early morning hours. All inland sites experience a pronounced increase in the Ångström exponent from morning to evening, reflecting an overall decrease in particle size in daytime. To statistically obtain the climatology of diurnal variation of AOD, a minimum requirement of <span class='inline-formula'>∼2</span> years of observation is needed in coastal rural sites, twice as long as that required for the urban sites, which suggests that the diurnal variation of AOD in an urban setting is more distinct and persistent. While Korean GOCI satellite retrievals are able to consistently capture the diurnal variation of AOD (although it has a systematically low bias of 0.04 on average and up to 0.09 in later afternoon hours), WRF-Chem clearly has a deficiency in describing the relative change of peaks and variations between the morning and afternoon, suggesting further studies for the diurnal profile of emissions. Furthermore, the ratio between PM<span class='inline-formula'><sub>2.5</sub></span> and AOD in WRF-Chem is persistently larger than the observed counterparts by 30<span class='thinspace'></span>%-50<span class='thinspace'></span>% in different sites, but spatially no consistent diurnal variation pattern of this ratio can be found. Overall, the relatively small diurnal variation of PM<span class='inline-formula'><sub>2.5</sub></span> is in high contrast with large AOD diurnal variation, which suggests the large diurnal variation of AOD-PM<span class='inline-formula'><sub>2.5</sub></span> relationships (with the PM<span class='inline-formula'><sub>2.5</sub></span><span class='thinspace'></span><span class='inline-formula'>∕</span><span class='thinspace'></span>AOD ratio being largest in the early morning, decreasing around noon, and increasing in late afternoon) and, therefore, the need to use AOD from<span id='page15126'/> geostationary satellites to constrain either modeling or estimate of surface PM<span class='inline-formula'><sub>2.5</sub></span> for air quality application.</p> </P>

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