Estimation of Strong Wind Distribution on the Korean Peninsula for Various Recurrence Periods: Significance of Nontyphoon Conditions
Long-term automated synoptic observing system (ASOS) data collected from 101 stations over a period of 50 years (1967–2016) were analyzed to investigate the distribution of strong winds on the Korean peninsula by utilizing a statistical method. The Gumbel distribution was used to estimate the wind s...
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Language: | English |
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Wiley
2019-01-01
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Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2019/8063169 |
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author | Jae-Hee Hahm Ha-Yoon Jeong Kyung-Hwan Kwak |
author_facet | Jae-Hee Hahm Ha-Yoon Jeong Kyung-Hwan Kwak |
author_sort | Jae-Hee Hahm |
collection | DOAJ |
description | Long-term automated synoptic observing system (ASOS) data collected from 101 stations over a period of 50 years (1967–2016) were analyzed to investigate the distribution of strong winds on the Korean peninsula by utilizing a statistical method. The Gumbel distribution was used to estimate the wind speed for recurrence periods of 1, 10, 50, 75, and 100 years. For all recurrence periods, the coastal regions experienced higher wind speeds, which exceeded the strong wind advisory level, than the inland and metropolitan regions. The strong winds were predominantly induced by summertime typhoons, especially in the south and west coastal regions. In addition, nontyphoon factors, such as a topographical factor with atmospheric instability in a mountainous coastal region, can cause localized severe weather in the form of strong wind. By performing the weather research and forecasting (WRF) model simulation, an abrupt increase in wind speed up to 20 m·s−1 was reproduced under the condition of onshore prevailing winds heading toward a mountain ridge in a coastal region. Estimation of strong wind spatial distribution can help the region-to-region establishment of an action plan to prepare for damage caused by strong winds. |
format | Article |
id | doaj-art-e7a54ee7aa52482e97b7436cbc6b2223 |
institution | Kabale University |
issn | 1687-9309 1687-9317 |
language | English |
publishDate | 2019-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Meteorology |
spelling | doaj-art-e7a54ee7aa52482e97b7436cbc6b22232025-02-03T07:25:30ZengWileyAdvances in Meteorology1687-93091687-93172019-01-01201910.1155/2019/80631698063169Estimation of Strong Wind Distribution on the Korean Peninsula for Various Recurrence Periods: Significance of Nontyphoon ConditionsJae-Hee Hahm0Ha-Yoon Jeong1Kyung-Hwan Kwak2Department of Environmental Science, Kangwon National University, Chuncheon 24341, Republic of KoreaDepartment of Environmental Science, Kangwon National University, Chuncheon 24341, Republic of KoreaSchool of Natural Resources and Environmental Science, Kangwon National University, Chuncheon 24341, Republic of KoreaLong-term automated synoptic observing system (ASOS) data collected from 101 stations over a period of 50 years (1967–2016) were analyzed to investigate the distribution of strong winds on the Korean peninsula by utilizing a statistical method. The Gumbel distribution was used to estimate the wind speed for recurrence periods of 1, 10, 50, 75, and 100 years. For all recurrence periods, the coastal regions experienced higher wind speeds, which exceeded the strong wind advisory level, than the inland and metropolitan regions. The strong winds were predominantly induced by summertime typhoons, especially in the south and west coastal regions. In addition, nontyphoon factors, such as a topographical factor with atmospheric instability in a mountainous coastal region, can cause localized severe weather in the form of strong wind. By performing the weather research and forecasting (WRF) model simulation, an abrupt increase in wind speed up to 20 m·s−1 was reproduced under the condition of onshore prevailing winds heading toward a mountain ridge in a coastal region. Estimation of strong wind spatial distribution can help the region-to-region establishment of an action plan to prepare for damage caused by strong winds.http://dx.doi.org/10.1155/2019/8063169 |
spellingShingle | Jae-Hee Hahm Ha-Yoon Jeong Kyung-Hwan Kwak Estimation of Strong Wind Distribution on the Korean Peninsula for Various Recurrence Periods: Significance of Nontyphoon Conditions Advances in Meteorology |
title | Estimation of Strong Wind Distribution on the Korean Peninsula for Various Recurrence Periods: Significance of Nontyphoon Conditions |
title_full | Estimation of Strong Wind Distribution on the Korean Peninsula for Various Recurrence Periods: Significance of Nontyphoon Conditions |
title_fullStr | Estimation of Strong Wind Distribution on the Korean Peninsula for Various Recurrence Periods: Significance of Nontyphoon Conditions |
title_full_unstemmed | Estimation of Strong Wind Distribution on the Korean Peninsula for Various Recurrence Periods: Significance of Nontyphoon Conditions |
title_short | Estimation of Strong Wind Distribution on the Korean Peninsula for Various Recurrence Periods: Significance of Nontyphoon Conditions |
title_sort | estimation of strong wind distribution on the korean peninsula for various recurrence periods significance of nontyphoon conditions |
url | http://dx.doi.org/10.1155/2019/8063169 |
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