The Climate Variabilities of Air Temperature Around the Korean Peninsula

Yong-Hoon YOUN

doi:10.1007/BF02918489

Impact Factor: 3.9

Volume 22 Issue 4

Jul. 2005

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 2005 > 22(4): 575-584

The Climate Variabilities of Air Temperature Around the Korean Peninsula

Yong-Hoon YOUN

1.
Meteorological Research Institute/Korean Meteorological Administration, Seoul, Korea

Yong-Hoon YOUN

doi: 10.1007/BF02918489

Abstract
References
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Abstract:
In this study, changes in climatological conditions around the Korean Peninsula are estimated quantitatively using various types of high order statistical analyses. The temperature data collected from Incheon station have been analyzed for the assessment of the climate variation. According to our analysis,the climate changes observed over the Korean Peninsula for the last century are similar to the global observational data in many respects. First of all, the warming trend [+1.5℃ (100 yr)-1] and the overall evolving pattern throughout the century are quite similar to each other. The temperature change in the Korean Peninsula is about two to three times larger than that of the global scale which may partially be ascribed to the influence of urbanization at mid and high latitudes. In this work, a new Winter Monsoon Index (WMI) is suggested based on the European continental scale circulation index (EU1) pattern. Our WMI is defined as the normalized sea level pressure (SLP) difference in the winter period between the centers of the East Sea and west of Lake Baikal in Siberia, the two eastern centers of the EU1 action patterns. A strong similarity is found between the time series of the WMI and surface air temperature at Incheon. The WMI has decreased gradually since the 1920s but has shifted to a rapid increasing trend in the last two decades; it was in fact accompanied by a weakening of the Siberian High and a decreasing of the northerly during winter. Our findings of the close correlations between the surface air temperature at Incheon and the WMI strongly indicate that our newly suggested index is unique and can be used as an efficient tool to predict climate variability in Korea.
- Winter Monsoon Index,
- climate variability
References

[1]	WANG Huijun, FAN Ke, SUN Jianqi, LI Shuanglin, LIN Zhaohui, ZHOU Guangqing, CHEN Lijuan, LANG Xianmei, LI Fang, ZHU Yali, CHEN Hong, ZHENG Fei, 2015: A Review of Seasonal Climate Prediction Research in China, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 149-168. doi: 10.1007/s00376-014-0016-7
[2]	Chunzai WANG, Yulong YAO, Haili WANG, Xiubao SUN, Jiayu ZHENG, 2021: The 2020 Summer Floods and 2020/21 Winter Extreme Cold Surges in China and the 2020 Typhoon Season in the Western North Pacific, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 896-904. doi: 10.1007/s00376-021-1094-y
[3]	Vladimir A. Lobanov, 2001: Empirical-Statistical Methodology and Methods for Modeling and Forecasting of Climate Variability of Different Temporal Scales, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 844-863.
[4]	Igor Oliveira RIBEIRO, Rodrigo Augusto Ferreira de SOUZA, Rita Valèria ANDREOLI, Mary Toshie KAYANO, Patrícia dos Santos COSTA, 2016: Spatiotemporal Variability of Methane over the Amazon from Satellite Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 852-864. doi: 10.1007/s00376-016-5138-7
[5]	CAO Jian, Bin WANG, Baoqiang XIANG, Juan LI, WU Tianjie, Xiouhua FU, WU Liguang, MIN Jinzhong, 2015: Major Modes of Short-Term Climate Variability in the Newly Developed NUIST Earth System Model (NESM), ADVANCES IN ATMOSPHERIC SCIENCES, 32, 585-600. doi: 10.1007/s00376-014-4200-6
[6]	Wang Huijun, 1999: A Preliminary Study on the Polar Climate Predictability, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 361-366. doi: 10.1007/s00376-999-0015-2
[7]	Chunzai Wang, 2001: On the ENSO Mechanisms, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 674-691.
[8]	Enda ZHU, Xing YUAN, 2021: Global Freshwater Storage Capability across Time Scales in the GRACE Satellite Era, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 905-917. doi: 10.1007/s00376-021-0222-z
[9]	Chen Wen, Hans-F. Graf, Huang Ronghui, 2000: The Interannual Variability of East Asian Winter Monsoon and Its Relation to the Summer Monsoon, ADVANCES IN ATMOSPHERIC SCIENCES, 17, 48-60. doi: 10.1007/s00376-000-0042-5
[10]	LI Fei, WANG Huijun, 2012: Predictability of the East Asian Winter Monsoon Interannual Variability as Indicated by the DEMETER CGCMS, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 441-454. doi: 10.1007/s00376-011-1115-3
[11]	Ji Liren, Sun Shuqing, Klaus Arpe, Lennart Benglsson, 1997: Model Study on the Interannual Variability of Asian Winter Monsoon and Its Influence, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 1-22. doi: 10.1007/s00376-997-0039-4
[12]	Wang Huijun, 2000: The Interannual Variability of East Asian Monsoon and Its Relationship with SST in a Coupled Atmosphere-Ocean-Land Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 17, 31-47. doi: 10.1007/s00376-000-0041-6
[13]	Lin Wang, Hongli Ren, Fang ZHOU, Nick Dunstone, Xu Xiangde, 2023: Dynamical Predictability of Leading Interannual Variability Modes of Asian-Australian Monsoon in Climate Models, ADVANCES IN ATMOSPHERIC SCIENCES. doi: 10.1007/s00376-023-2288-2
[14]	QIAN Weihong, DING Ting, HU Haoran, LIN Xiang, QIN Aimin, 2009: An Overview of Dry-wet Climate Variability among Monsoon-Westerly Regions and the Monsoon Northernmost Marginal Active Zone in China, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 630-641. doi: 10.1007/s00376-009-8213-5
[15]	ZHANG Ziyin, GUO Wenli, GONG Daoyi, Seong-Joong KIM, 2013: Evaluation of the Twentieth Century Reanalysis Dataset in Describing East Asian Winter Monsoon Variability, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1645-1652. doi: 10.1007/s00376-012-2226-1
[16]	Hoffman H. N. CHEUNG, Wen ZHOU, 2016: Simple Metrics for Representing East Asian Winter Monsoon Variability: Urals Blocking and Western Pacific Teleconnection Patterns, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 695-705. doi: 10.1007/s00376-015-5204-6
[17]	LI Jianping, Julian X.L.WANG, 2003: A New North Atlantic Oscillation Index and Its Variability, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 661-676. doi: 10.1007/BF02915394
[18]	LI Jianping, ZENG Qingcun, 2003: A New Monsoon Index and the Geographical Distribution of the Global Monsoons, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 299-302. doi: 10.1007/s00376-003-0016-5
[19]	WangHuijun, Xue Feng, Bi Xunqiang, 1997: The Interannual Variability and Predictability in a Global Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 554-562. doi: 10.1007/s00376-997-0073-2
[20]	DONG Wenjie, CHOU Jieming, FENG Guolin, 2007: A New Economic Assessment Index for the Impact of Climate Change on Grain Yield, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 336-342. doi: 10.1007/s00376-007-0336-y

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Manuscript History

Manuscript received: 10 July 2005

Manuscript revised: 10 July 2005

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

The Climate Variabilities of Air Temperature Around the Korean Peninsula

Yong-Hoon YOUN

1. Meteorological Research Institute/Korean Meteorological Administration, Seoul, Korea

Manuscript received: 2005-07-10
Manuscript revised: 2005-07-10

Abstract: In this study, changes in climatological conditions around the Korean Peninsula are estimated quantitatively using various types of high order statistical analyses. The temperature data collected from Incheon station have been analyzed for the assessment of the climate variation. According to our analysis,the climate changes observed over the Korean Peninsula for the last century are similar to the global observational data in many respects. First of all, the warming trend [+1.5℃ (100 yr)-1] and the overall evolving pattern throughout the century are quite similar to each other. The temperature change in the Korean Peninsula is about two to three times larger than that of the global scale which may partially be ascribed to the influence of urbanization at mid and high latitudes. In this work, a new Winter Monsoon Index (WMI) is suggested based on the European continental scale circulation index (EU1) pattern. Our WMI is defined as the normalized sea level pressure (SLP) difference in the winter period between the centers of the East Sea and west of Lake Baikal in Siberia, the two eastern centers of the EU1 action patterns. A strong similarity is found between the time series of the WMI and surface air temperature at Incheon. The WMI has decreased gradually since the 1920s but has shifted to a rapid increasing trend in the last two decades; it was in fact accompanied by a weakening of the Siberian High and a decreasing of the northerly during winter. Our findings of the close correlations between the surface air temperature at Incheon and the WMI strongly indicate that our newly suggested index is unique and can be used as an efficient tool to predict climate variability in Korea.

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