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: Jeong-Hun Kim, Maeng-Ki Kim, Chang-Hoi Ho, Rokjin J. Park, Minjoong J. Kim, Jaehyun Lim, Seong-Joong Kim, Chang-Keun Song
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2019
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Online Access:https://doi.org/10.3390/atmos10100619
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spelling ftmdpi:oai:mdpi.com:/2073-4433/10/10/619/ 2023-08-20T03:59:25+02:00 Possible Link Between Arctic Sea Ice and January PM10 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 agris 2019-10-14 application/pdf https://doi.org/10.3390/atmos10100619 EN eng Multidisciplinary Digital Publishing Institute Air Quality https://dx.doi.org/10.3390/atmos10100619 https://creativecommons.org/licenses/by/4.0/ Atmosphere; Volume 10; Issue 10; Pages: 619 PM 10 Artic sea ice ventilation effect pollution potential index Barents Sea Siberian high Aleutian low teleconnection Korea Text 2019 ftmdpi https://doi.org/10.3390/atmos10100619 2023-07-31T22:41:44Z 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. Text aleutian low Arctic Barents Sea Sea ice MDPI Open Access Publishing Arctic Barents Sea Atmosphere 10 10 619
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic PM 10
Artic sea ice
ventilation effect
pollution potential index
Barents Sea
Siberian high
Aleutian low
teleconnection
Korea
spellingShingle PM 10
Artic sea ice
ventilation effect
pollution potential index
Barents Sea
Siberian high
Aleutian low
teleconnection
Korea
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 PM10 Concentrations in South Korea
topic_facet PM 10
Artic sea ice
ventilation effect
pollution potential index
Barents Sea
Siberian high
Aleutian low
teleconnection
Korea
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 Text
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 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 Multidisciplinary Digital Publishing Institute
publishDate 2019
url https://doi.org/10.3390/atmos10100619
op_coverage agris
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; Volume 10; Issue 10; Pages: 619
op_relation Air Quality
https://dx.doi.org/10.3390/atmos10100619
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/atmos10100619
container_title Atmosphere
container_volume 10
container_issue 10
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