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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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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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 |
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ScholarWorks@UNIST (Ulsan National Institute of Science and Technology) |
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ftuisanist |
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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 33798 2-s2.0-85074032218 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 |
container_start_page |
619 |
_version_ |
1766266558267523072 |