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

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dc.contributor.authorKim, Jeong-Hun-
dc.contributor.authorKim, Maeng-Ki-
dc.contributor.authorHo, Chang-Hoi-
dc.contributor.authorPark, Rokjin-
dc.contributor.authorKim, Minjoong-
dc.contributor.authorLim, Cheol-Soo-
dc.contributor.authorKim, Seong-Joong-
dc.date.accessioned2021-07-20T04:28:33Z-
dc.date.available2021-07-20T04:28:33Z-
dc.date.issued2019-
dc.identifier.urihttps://repository.kopri.re.kr/handle/201206/12264-
dc.description.abstractIn 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.en_US
dc.languageEnglishen_US
dc.language.isoenen_US
dc.titleRelationship between Arctic Sea Ice amount and PM10 Concentration in South Korea on Januaryen_US
dc.title.alternative1월 한국 PM10 농도와 북극 해빙간의 관련성en_US
dc.typePosteren_US
dc.identifier.bibliographicCitationKim, 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.en_US
dc.citation.conferenceDate2019.12.09~2019.12.13en_US
dc.citation.conferenceNameAGU Fall meeting 2019en_US
dc.citation.conferencePlaceSan Francisco, USAen_US
dc.description.articleClassification포스터-
dc.subject.keywordArctic sea iceen_US
dc.subject.keywordPM10en_US
dc.subject.keywordpollutionen_US
dc.identifier.localId2019-0420-
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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