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...
Published in: | Atmosphere |
---|---|
Main Authors: | , , , , , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2019
|
Subjects: | |
Online Access: | https://doi.org/10.3390/atmos10100619 |
id |
ftmdpi:oai:mdpi.com:/2073-4433/10/10/619/ |
---|---|
record_format |
openpolar |
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 |
container_start_page |
619 |
_version_ |
1774712883690602496 |