Possible Link Between Arctic Sea Ice and January PM 10 Concentrations in South Korea
In this study, we investigated the possible teleconnection between PM 10 concentrations in South Korea and Arctic Sea ice concentrations at inter-annual time scales using observed PM 10 data from South Korea, NCEP R2 data, and NOAA Sea Ice Concentration (SIC) data from 2001 to 2018. From the empiric...
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ftdoajarticles:oai:doaj.org/article:5c9a32eeef6f4ffcb2962ae2fcd378cb 2023-05-15T13:14:54+02:00 Possible Link Between Arctic Sea Ice and January PM 10 Concentrations in South Korea Jeong-Hun Kim Maeng-Ki Kim Chang-Hoi Ho Rokjin J. Park Minjoong J. Kim Jaehyun Lim Seong-Joong Kim Chang-Keun Song 2019-10-01T00:00:00Z https://doi.org/10.3390/atmos10100619 https://doaj.org/article/5c9a32eeef6f4ffcb2962ae2fcd378cb EN eng MDPI AG https://www.mdpi.com/2073-4433/10/10/619 https://doaj.org/toc/2073-4433 2073-4433 doi:10.3390/atmos10100619 https://doaj.org/article/5c9a32eeef6f4ffcb2962ae2fcd378cb Atmosphere, Vol 10, Iss 10, p 619 (2019) pm 10 artic sea ice ventilation effect pollution potential index barents sea siberian high aleutian low teleconnection korea Meteorology. Climatology QC851-999 article 2019 ftdoajarticles https://doi.org/10.3390/atmos10100619 2022-12-31T12:13:17Z In this study, we investigated the possible teleconnection between PM 10 concentrations in South Korea and Arctic Sea ice concentrations at inter-annual time scales using observed PM 10 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 PM 10 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 PM 10 at a correlation coefficient of 0.75, indicating that the PPI is a good measure for PM 10 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 PM 10 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 Directory of Open Access Journals: DOAJ Articles Arctic Barents Sea Atmosphere 10 10 619 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
pm 10 artic sea ice ventilation effect pollution potential index barents sea siberian high aleutian low teleconnection korea Meteorology. Climatology QC851-999 |
spellingShingle |
pm 10 artic sea ice ventilation effect pollution potential index barents sea siberian high aleutian low teleconnection korea Meteorology. Climatology QC851-999 Jeong-Hun Kim Maeng-Ki Kim Chang-Hoi Ho Rokjin J. Park Minjoong J. Kim Jaehyun Lim Seong-Joong Kim Chang-Keun Song Possible Link Between Arctic Sea Ice and January PM 10 Concentrations in South Korea |
topic_facet |
pm 10 artic sea ice ventilation effect pollution potential index barents sea siberian high aleutian low teleconnection korea Meteorology. Climatology QC851-999 |
description |
In this study, we investigated the possible teleconnection between PM 10 concentrations in South Korea and Arctic Sea ice concentrations at inter-annual time scales using observed PM 10 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 PM 10 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 PM 10 at a correlation coefficient of 0.75, indicating that the PPI is a good measure for PM 10 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 PM 10 in South Korea through teleconnection from the Barents Sea to the Korean peninsula via Eurasia. |
format |
Article in Journal/Newspaper |
author |
Jeong-Hun Kim Maeng-Ki Kim Chang-Hoi Ho Rokjin J. Park Minjoong J. Kim Jaehyun Lim Seong-Joong Kim Chang-Keun Song |
author_facet |
Jeong-Hun Kim Maeng-Ki Kim Chang-Hoi Ho Rokjin J. Park Minjoong J. Kim Jaehyun Lim Seong-Joong Kim Chang-Keun Song |
author_sort |
Jeong-Hun Kim |
title |
Possible Link Between Arctic Sea Ice and January PM 10 Concentrations in South Korea |
title_short |
Possible Link Between Arctic Sea Ice and January PM 10 Concentrations in South Korea |
title_full |
Possible Link Between Arctic Sea Ice and January PM 10 Concentrations in South Korea |
title_fullStr |
Possible Link Between Arctic Sea Ice and January PM 10 Concentrations in South Korea |
title_full_unstemmed |
Possible Link Between Arctic Sea Ice and January PM 10 Concentrations in South Korea |
title_sort |
possible link between arctic sea ice and january pm 10 concentrations in south korea |
publisher |
MDPI AG |
publishDate |
2019 |
url |
https://doi.org/10.3390/atmos10100619 https://doaj.org/article/5c9a32eeef6f4ffcb2962ae2fcd378cb |
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_source |
Atmosphere, Vol 10, Iss 10, p 619 (2019) |
op_relation |
https://www.mdpi.com/2073-4433/10/10/619 https://doaj.org/toc/2073-4433 2073-4433 doi:10.3390/atmos10100619 https://doaj.org/article/5c9a32eeef6f4ffcb2962ae2fcd378cb |
op_doi |
https://doi.org/10.3390/atmos10100619 |
container_title |
Atmosphere |
container_volume |
10 |
container_issue |
10 |
container_start_page |
619 |
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1766266009245712384 |