Possible link between Arctic Sea ice and January PM10 concentrations in South Korea

In this study, we investigated the possible teleconnection between PM10 concentrations in South Korea and Arctic Sea ice concentrations at inter-annual time scales using observed PM10 data from South Korea, NCEP R2 data, and NOAA Sea Ice Concentration (SIC) data from 2001 to 2018. From the empirical...

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Published in:Atmosphere
Main Authors: Kim, Jeong-Hun, Kim, Mawng-Ki, Ho, Chang-Ho, Park, Rokjin J., Kim, Minjoong J., Lim, Jaehyun, Kim, Seong-Joong, Song, Chang-Keun
Format: Article in Journal/Newspaper
Language:unknown
Published: MDPI 2019
Subjects:
Online Access:https://scholarworks.unist.ac.kr/handle/201301/30464
https://doi.org/10.3390/atmos10100619
https://www.mdpi.com/2073-4433/10/10/619
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spelling ftuisanist:oai:scholarworks.unist.ac.kr:201301/30464 2023-05-15T13:15:01+02:00 Possible link between Arctic Sea ice and January PM10 concentrations in South Korea Kim, Jeong-Hun Kim, Mawng-Ki Ho, Chang-Ho Park, Rokjin J. Kim, Minjoong J. Lim, Jaehyun Kim, Seong-Joong Song, Chang-Keun 2019-10 https://scholarworks.unist.ac.kr/handle/201301/30464 https://doi.org/10.3390/atmos10100619 https://www.mdpi.com/2073-4433/10/10/619 ?????? unknown MDPI ATMOSPHERE, v.10, no.10, pp.619 2073-4433 https://scholarworks.unist.ac.kr/handle/201301/30464 33798 2-s2.0-85074032218 000498267500057 doi:10.3390/atmos10100619 https://www.mdpi.com/2073-4433/10/10/619 ARTICLE ART 2019 ftuisanist https://doi.org/10.3390/atmos10100619 2022-05-15T05:35:30Z In this study, we investigated the possible teleconnection between PM10 concentrations in South Korea and Arctic Sea ice concentrations at inter-annual time scales using observed PM10 data from South Korea, NCEP R2 data, and NOAA Sea Ice Concentration (SIC) data from 2001 to 2018. From the empirical orthogonal function (EOF) analysis, we found that the first mode (TC1) was a large-scale mode for PM10 in South Korea and explained about 27.4% of the total variability. Interestingly, the TC1 is more dominantly influenced by the horizontal ventilation effect than the vertical atmospheric stability effect. The pollution potential index (PPI), which is defined by the weighted average of the two ventilation effects, is highly correlated with the TC1 of PM10 at a correlation coefficient of 0.75, indicating that the PPI is a good measure for PM10 in South Korea at inter-annual time scales. Regression maps show that the decrease of SIC over the Barents Sea is significantly correlated with weakening of high pressure over the Ural mountain range region, the anomalous high pressure at 500 hPa over the Korean peninsula, and the weakening of the Siberian High and Aleutian low. Moreover, these patterns are similar to the correlation pattern with the PPI, suggesting that the variability of SIC over the Barents Sea may play an important role in modulating the variability of PM10 in South Korea through teleconnection from the Barents Sea to the Korean peninsula via Eurasia. Article in Journal/Newspaper aleutian low Arctic Barents Sea Sea ice ScholarWorks@UNIST (Ulsan National Institute of Science and Technology) Arctic Barents Sea Atmosphere 10 10 619
institution Open Polar
collection ScholarWorks@UNIST (Ulsan National Institute of Science and Technology)
op_collection_id ftuisanist
language unknown
description In this study, we investigated the possible teleconnection between PM10 concentrations in South Korea and Arctic Sea ice concentrations at inter-annual time scales using observed PM10 data from South Korea, NCEP R2 data, and NOAA Sea Ice Concentration (SIC) data from 2001 to 2018. From the empirical orthogonal function (EOF) analysis, we found that the first mode (TC1) was a large-scale mode for PM10 in South Korea and explained about 27.4% of the total variability. Interestingly, the TC1 is more dominantly influenced by the horizontal ventilation effect than the vertical atmospheric stability effect. The pollution potential index (PPI), which is defined by the weighted average of the two ventilation effects, is highly correlated with the TC1 of PM10 at a correlation coefficient of 0.75, indicating that the PPI is a good measure for PM10 in South Korea at inter-annual time scales. Regression maps show that the decrease of SIC over the Barents Sea is significantly correlated with weakening of high pressure over the Ural mountain range region, the anomalous high pressure at 500 hPa over the Korean peninsula, and the weakening of the Siberian High and Aleutian low. Moreover, these patterns are similar to the correlation pattern with the PPI, suggesting that the variability of SIC over the Barents Sea may play an important role in modulating the variability of PM10 in South Korea through teleconnection from the Barents Sea to the Korean peninsula via Eurasia.
format Article in Journal/Newspaper
author Kim, Jeong-Hun
Kim, Mawng-Ki
Ho, Chang-Ho
Park, Rokjin J.
Kim, Minjoong J.
Lim, Jaehyun
Kim, Seong-Joong
Song, Chang-Keun
spellingShingle Kim, Jeong-Hun
Kim, Mawng-Ki
Ho, Chang-Ho
Park, Rokjin J.
Kim, Minjoong J.
Lim, Jaehyun
Kim, Seong-Joong
Song, Chang-Keun
Possible link between Arctic Sea ice and January PM10 concentrations in South Korea
author_facet Kim, Jeong-Hun
Kim, Mawng-Ki
Ho, Chang-Ho
Park, Rokjin J.
Kim, Minjoong J.
Lim, Jaehyun
Kim, Seong-Joong
Song, Chang-Keun
author_sort Kim, Jeong-Hun
title Possible link between Arctic Sea ice and January PM10 concentrations in South Korea
title_short Possible link between Arctic Sea ice and January PM10 concentrations in South Korea
title_full Possible link between Arctic Sea ice and January PM10 concentrations in South Korea
title_fullStr Possible link between Arctic Sea ice and January PM10 concentrations in South Korea
title_full_unstemmed Possible link between Arctic Sea ice and January PM10 concentrations in South Korea
title_sort possible link between arctic sea ice and january pm10 concentrations in south korea
publisher MDPI
publishDate 2019
url https://scholarworks.unist.ac.kr/handle/201301/30464
https://doi.org/10.3390/atmos10100619
https://www.mdpi.com/2073-4433/10/10/619
geographic Arctic
Barents Sea
geographic_facet Arctic
Barents Sea
genre aleutian low
Arctic
Barents Sea
Sea ice
genre_facet aleutian low
Arctic
Barents Sea
Sea ice
op_relation ATMOSPHERE, v.10, no.10, pp.619
2073-4433
https://scholarworks.unist.ac.kr/handle/201301/30464
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000498267500057
doi:10.3390/atmos10100619
https://www.mdpi.com/2073-4433/10/10/619
op_doi https://doi.org/10.3390/atmos10100619
container_title Atmosphere
container_volume 10
container_issue 10
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