Seasonal Prediction of Korean Surface Temperature in July and February Based on Arctic Sea Ice Reduction br
We examined potential seasonal prediction of the Korean surface temperature using the relationships between the Arctic Sea Ice Area (SIA) in autumn and the temperature in the following July and February at 850 hPa in East Asia (EA). The Surface Air Temperature (SAT) over Korea shows a similar relati...
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한국기상학회
2023
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Online Access: | https://hdl.handle.net/10371/192446 https://doi.org/10.14191/Atmos.2022.32.4.297 |
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ftseoulnuniv:oai:s-space.snu.ac.kr:10371/192446 2023-06-11T04:08:40+02:00 Seasonal Prediction of Korean Surface Temperature in July and February Based on Arctic Sea Ice Reduction br Choi, Wookap Kim, Young-Ah Choi, Wookap 2023-05-22 https://hdl.handle.net/10371/192446 https://doi.org/10.14191/Atmos.2022.32.4.297 영어 unknown 한국기상학회 대기, Vol.32 No.4, pp.297-306 1598-3560 https://hdl.handle.net/10371/192446 doi:10.14191/Atmos.2022.32.4.297 000941877800003 183489 Arctic sea ice Korean surface temperature Seasonal prediction Article ART 2023 ftseoulnuniv https://doi.org/10.14191/Atmos.2022.32.4.297 2023-05-26T00:36:32Z We examined potential seasonal prediction of the Korean surface temperature using the relationships between the Arctic Sea Ice Area (SIA) in autumn and the temperature in the following July and February at 850 hPa in East Asia (EA). The Surface Air Temperature (SAT) over Korea shows a similar relationship to that for EA. Since 2007, reduction of autumn SIA has been followed by warming in Korea in July. The regional distribution shows strong correla-tions in the southern and eastern coastal areas of Korea. The correlations in the sea surface temperature shows the maximum values in July around the Korean Peninsula, consistent with the coastal regions in which the maximum correlations in the Korean SAT are seen. In February, the response of the SAT to the SIA is the opposite of that for the July temperature. The autumn sea ice reduction is followed by cooling over Korea in February, although the mag-nitude is small. Cooling in the Korean Peninsula in February may be related to planetary wave-like features. Examining the autumn Arctic sea ice variation would be helpful for seasonal prediction of the Korean surface temperature, mostly in July and somewhat in February. Particularly in July, the regression line would be useful as supplementary information for sea-sonal temperature prediction N 1 Article in Journal/Newspaper Arctic Sea ice Seoul National University: S-Space Arctic |
institution |
Open Polar |
collection |
Seoul National University: S-Space |
op_collection_id |
ftseoulnuniv |
language |
unknown |
topic |
Arctic sea ice Korean surface temperature Seasonal prediction |
spellingShingle |
Arctic sea ice Korean surface temperature Seasonal prediction Choi, Wookap Kim, Young-Ah Seasonal Prediction of Korean Surface Temperature in July and February Based on Arctic Sea Ice Reduction br |
topic_facet |
Arctic sea ice Korean surface temperature Seasonal prediction |
description |
We examined potential seasonal prediction of the Korean surface temperature using the relationships between the Arctic Sea Ice Area (SIA) in autumn and the temperature in the following July and February at 850 hPa in East Asia (EA). The Surface Air Temperature (SAT) over Korea shows a similar relationship to that for EA. Since 2007, reduction of autumn SIA has been followed by warming in Korea in July. The regional distribution shows strong correla-tions in the southern and eastern coastal areas of Korea. The correlations in the sea surface temperature shows the maximum values in July around the Korean Peninsula, consistent with the coastal regions in which the maximum correlations in the Korean SAT are seen. In February, the response of the SAT to the SIA is the opposite of that for the July temperature. The autumn sea ice reduction is followed by cooling over Korea in February, although the mag-nitude is small. Cooling in the Korean Peninsula in February may be related to planetary wave-like features. Examining the autumn Arctic sea ice variation would be helpful for seasonal prediction of the Korean surface temperature, mostly in July and somewhat in February. Particularly in July, the regression line would be useful as supplementary information for sea-sonal temperature prediction N 1 |
author2 |
Choi, Wookap |
format |
Article in Journal/Newspaper |
author |
Choi, Wookap Kim, Young-Ah |
author_facet |
Choi, Wookap Kim, Young-Ah |
author_sort |
Choi, Wookap |
title |
Seasonal Prediction of Korean Surface Temperature in July and February Based on Arctic Sea Ice Reduction br |
title_short |
Seasonal Prediction of Korean Surface Temperature in July and February Based on Arctic Sea Ice Reduction br |
title_full |
Seasonal Prediction of Korean Surface Temperature in July and February Based on Arctic Sea Ice Reduction br |
title_fullStr |
Seasonal Prediction of Korean Surface Temperature in July and February Based on Arctic Sea Ice Reduction br |
title_full_unstemmed |
Seasonal Prediction of Korean Surface Temperature in July and February Based on Arctic Sea Ice Reduction br |
title_sort |
seasonal prediction of korean surface temperature in july and february based on arctic sea ice reduction br |
publisher |
한국기상학회 |
publishDate |
2023 |
url |
https://hdl.handle.net/10371/192446 https://doi.org/10.14191/Atmos.2022.32.4.297 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
대기, Vol.32 No.4, pp.297-306 1598-3560 https://hdl.handle.net/10371/192446 doi:10.14191/Atmos.2022.32.4.297 000941877800003 183489 |
op_doi |
https://doi.org/10.14191/Atmos.2022.32.4.297 |
_version_ |
1768382088316190720 |