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Relationship between Arctic Sea Ice amount and PM10 Concentration in South Korea on January

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Title
Relationship between Arctic Sea Ice amount and PM10 Concentration in South Korea on January
Other Titles
1월 한국 PM10 농도와 북극 해빙간의 관련성
Authors
Kim, Jeong-Hun
Kim, Maeng-Ki
Ho, Chang-Hoi
Park, Rokjin
Kim, Minjoong
Lim, Cheol-Soo
Kim, Seong-Joong
Keywords
Arctic sea ice; PM10; pollution
Issue Date
2019
Citation
Kim, Jeong-Hun, et al. 2019. Relationship between Arctic Sea Ice amount and PM10 Concentration in South Korea on January. AGU Fall meeting 2019. San Francisco, USA. 2019.12.09~2019.12.13.
Abstract
In this study, we investigated the possible teleconnection between PM10 concentration in South Korea and the Arctic Sea Ice concentration at interannual time scale using observed PM10 data in South Korea, NCEP-R2 data, and NOAA SIC data from 2001 to 2018. From EOF analysis we found a large-scale mode of the PM10 in South Korea as the first mode, which explained about 27.4% of total variability. Interestingly the large-scale mode is more dominantly influenced by the horizontal ventilation effect than the vertical atmospheric stability effect. The Potential Pollution Index (PPI), which is defined by weighted averaging of two ventilation effects, is highly correlated to the large-scale mode of the PM10 in South Korea with a correlation coefficient of 0.75, indicating that the PPI is a good measure for the PM10 in South Korea at interannual time scale. Regression maps show that the decrease of SIC over the Barents Sea is significantly correlated with weakening of the Ural high region and high pressure anomaly at 500 hPa over the Korean peninsula, indicating that weakening of Siberian High and Aleutian low were related to an decrease of SIC over the Barents Sea. Moreover, these patterns are basically similar to correlation pattern with the PPI, indicating that the variability of SIC over the Barents Sea can play an important role in modulating the variability of PM10 in South Korea through teleconnection from the Arctic Ocean to the Korean peninsula. In addition, global climate model experiments were used to confirm that changes in sea ice concentration over the Barents Sea induce to favorable atmospheric circulation patterns for increasing PM10 concentrations in South Korea.
URI
https://repository.kopri.re.kr/handle/201206/12264
Conference Name
AGU Fall meeting 2019
Conference Place
San Francisco, USA
Conference Date
2019.12.09~2019.12.13
Appears in Collections  
2018-2018, Development and Application of the Korea Polar Prediction System (KPOPS) for Climate Change and Disasterous Weather Events (18-18) / Kim, Joo-Hong (PE18130)
2017-2018, Development and Application of the Korea Polar Prediction System (KPOPS) for Climate Change and Disasterous Weather Events (17-18) / Kim, Baek-Min (PE17130; PE18130)
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