Climatic Characteristics of Regional Persistent Heat Event in the Eastern China During Recent 60 Years

Lin Ailan; Gu Dejun; Peng Dongdong; Zheng Bin; Li Chunhui

doi:10.11898/1001-7313.20210304

Vol.32, NO.3, 2021

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Article Navigation > Journal of Applied Meteorological Science > 2021 > 32(3): 302-314

Lin Ailan, Gu Dejun, Peng Dongdong, et al. Climatic characteristics of regional persistent heat event in in the eastern China during recent 60 years. J Appl Meteor Sci, 2021, 32(3): 302-314. DOI: 10.11898/1001-7313.20210304.

Citation:

Lin Ailan, Gu Dejun, Peng Dongdong, et al. Climatic characteristics of regional persistent heat event in in the eastern China during recent 60 years. J Appl Meteor Sci, 2021, 32(3): 302-314. DOI: 10.11898/1001-7313.20210304.

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Climatic Characteristics of Regional Persistent Heat Event in the Eastern China During Recent 60 Years

DOI: 10.11898/1001-7313.20210304

Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, Guangzhou 510640

Received Date: 2021-01-18
Rev Recd Date: 2021-04-20
Publish Date: 2021-05-31

Abstract

Abstract

Regional persistent heat event is extensively studied and its intensity is normally investigated from the view of regional average. Climatic characteristics of persistent heat event in 4 regions in the eastern China are analyzed on the basis of distinguishing historical persistent heat event in the South China, the Yangtze River, the Huanghuai and the North China, using the daily maximum temperature data of 2407 stations in China during 1961-2019. The definition index of regional persistent heat event is established, in which the proximity of high temperature stations, the spatial range, the temporal consistency, the regional climate characteristics and the universality of methods are synthesized. Average times of regional persistent heat event in the South China, the Yangtze River, the Huanghuai and the North China are 3.3, 2.8, 2.2 and 0.8 per year respectively, with an average duration of 5.1 d, 6.4 d, 5.0 d and 3.9 d for per event, and the average annual cumulative days in climatology are 16.8 d, 17.8 d, 11.0 d, 3.1 d. Both the duration and the average annual cumulative days of persistent heat event are the longest in the Yangtze River, indicating that the persistent heat event in the Yangtze River is the most serious in climatology among these regions. The average annual cumulative days of persistent heat event in the North China are the least, and it usually ends at the end of July or before. There is a significant linear growing trend in the persistent heat event index in the South China, the North China, and the Yangtze River. There are only 4 non-summer persistent heat events in the Huanghuai in recent 20 years. The difference in strength of the persistent heat event index between the Yangtze River and the South China has significant inter-decadal trends. The index in the Yangtze River is obviously stronger than that in the South China during the first period of 1961-1978, while the index in the South China is slightly stronger than that in the Yangtze River during the second period of 1979-2019. The difference of persistent heat event between these two regions changes by nearly 10 d over these years.
- the eastern China;
- persistent heat event;
- variation characteristics

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Figures and Tables

Fig. 1 Spatial correlation coefficients(the contour) of summer temperature in the eastern China with Yiyang Station in Jiangxi Province(the red dot) (the shaded denotes the positive correlation passing the test of 0.05 level.The red box is the Yangtze River domain)(a) and four domains in the eastern China(blue dots are stations; red boxes from south to north are named the South China domain, the Yangtze River domain, the Huanghuai domain and the North China domain;red dots are the reference points)(b)

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Fig. 2 Regional mean daily maximum temperature in the South China domain, the Yangtze River domain and the Huanghuai domain during Jun-Aug in 2020

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Fig. 3 Frequency and duration of persistent heat event in the South China domain, the Yangtze River domain, the Huanghuai domain and the North China domain

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Fig. 4 Occurrence time of persistent heat event during 1961-2019 in the South China domain, the Yangtze River domain, the Huanghuai domain and the North China domain

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Fig. 5 Persistent heat index in the South China domain, the Yangtze River domain, the Huanghuai domain and the North China domain during 1961-2019

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Fig. 6 Difference of persistent heat index between the Yangtze River domain and the South China domain during 1961-2019

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Fig. 7 Accumulated days for long lived heat event in the South China domain and the Yangtze River domain during 1961-2019

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Fig. 8 Accumulated days for short lived heat event in the South China domain and the Yangtze River domain during 1961-2019

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Table 1 Reference points of correlation analysis and 4 domains in the eastern China

区域	基准点	纬度	经度	第80百分位值/℃
华南	广东罗定	21°~26°N	105°~120°E	33.7
长江	江西弋阳	26°~32°N	105°~122°E	33.8
黄淮	河南郾城	32°~37°N	105°~122°E	32.5
华北	北京通州	37°~43°N	105°~122°E	30.6

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Table 2 Number and duration of persistent heat event in 4 domains in the eastern China during 1961-2019

区域	过程总数	年平均次数	过程平均持续日数/d	最长持续日数/d
华南	193	3.3	5.1	32
长江	163	2.8	6.4	27
黄淮	131	2.2	5.0	15
华北	45	0.8	3.9	8

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References

[1]	Perkins S E, Alexander L V, Nairn J R. Increasing frequency, intensity and duration of observed global heat waves and warm spells. Geophys Res Lett, 2012, 39(20): L20714. http://adsabs.harvard.edu/abs/2012GeoRL..3920714P
[2]	Erdenebat E, Sato T. Recent increase in heat wave frequency around Mongolia: Role of atmospheric forcing and possible influence of soil moisture deficit. Atmos Sci Lett, 2016, 17(2): 135-140. doi: 10.1002/asl.616
[3]	Chen H, Huang Z, Tian H, et al. An evaluation method of heatstroke grade with meteorological approaches. J Appl Meteor Sci, 2009, 20(4): 451-457. doi: 10.3969/j.issn.1001-7313.2009.04.009
[4]	Ye D X, Yin J F, Chen Z H, et al. Spatiotemporal change characteristics of summer heatwaves in China in 1961-2010. Climate Change Research, 2013, 9(1): 15-20. doi: 10.3969/j.issn.1673-1719.2013.01.003
[5]	Sun J Q. Record-breaking SST over mid-North Atlantic and extreme high temperature over the Jianghuai-Jiangnan region of China in 2013. Chinese Science Bulletin, 2014, 59(27): 2714-2719. https://www.cnki.com.cn/Article/CJFDTOTAL-KXTB201427010.htm
[6]	Zou H B, Wu S S, Shan J S, et al. Diagnostic study of the severe high temperature event over Mid-East China in 2013 summer. Acta Meteorologica Sinica, 2015, 73(3): 481-495. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXB201503006.htm
[7]	Deng K, Yang S, Gu D, et al. Record-breaking heat wave in southern China and delayed onset of South China Sea summer monsoon driven by the Pacific subtropical high. Climate Dyn, 2020, 54: 3751-3764. doi: 10.1007/s00382-020-05203-8
[8]	Qian T T, Wang Y C, Zheng Z F, et al. A case study of the structure of the Hetao high which caused long-lasting hot weather in Beijing. J Appl Meteor Sci, 2005, 16(2): 167-173. doi: 10.3969/j.issn.1001-7313.2005.02.005
[9]	Deng K, Yang S, Ting M, et al. An intensified mode of variability modulating the summer heat waves in Eastern Europe and Northern China. Geophys Res Lett, 2018, 45(20): 11361-11369. http://www.researchgate.net/publication/328258529_An_Intensified_Mode_of_Variability_Modulating_the_Summer_Heat_Waves_in_Eastern_Europe_and_Northern_China
[10]	Huo Z G, Shang Y, Wu D R, et al. Review on disaster of hot dry wind for wheat in China. J Appl Meteor Sci, 2019, 30(2): 129-141. doi: 10.11898/1001-7313.20190201
[11]	Yang J Y, Huo Z G, Wang P J, et al. Occurrence characteristics of early rice heat disaster in Jiangxi Province. J Appl Meteor Sci, 2020, 31(1): 42-51. doi: 10.11898/1001-7313.20200104
[12]	Shi J, Ding Y H, Cui L L. Climatic characteristics of extreme maximum temperature in East China and its causes. Chinese Journal of Atmospheric Sciences, 2009, 33(2): 347-358. doi: 10.3878/j.issn.1006-9895.2009.02.13
[13]	Chen R, Wen Z, Lu R. Evolutions of the circulation anomalies and the quasi-biweekly oscillations associated with extreme heat events in South China. J Climate, 2016, 29(19): 6909-6921. doi: 10.1175/JCLI-D-16-0160.1
[14]	Li Q X, Huang J Y. Threshold value on extreme high temperature event in China. J Appl Meteor Sci, 2011, 22(2): 138-144. doi: 10.3969/j.issn.1001-7313.2011.02.002
[15]	Fang Y L, Jian M Q. Diagnosis study of persistent heat waves in South China during summer 2003. Journal of Tropical Oceanography, 2011, 30(3): 30-37. doi: 10.3969/j.issn.1009-5470.2011.03.005
[16]	Yang H W, Feng G L. Diagnostic analyses of characteristics and causes of regional and persistent high temperature event in China. Plateau Meteorology, 2016, 35(2): 484-494. https://www.cnki.com.cn/Article/CJFDTOTAL-GYQX201602019.htm
[17]	Peng J B, Liu G, Sun S Q. An analysis on the formation of the heat wave in southern China and its relation to the anomalous western Pacific subtropical high in the summer of 2013. Chinese Journal of Atmospheric Sciences, 2016, 40(5): 897-906. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXK201605002.htm
[18]	Dong X X, Wu B Y. Dynamic linkages between heat wave events in Jianghuai region and Arctic summer cold anomaly. J Appl Meteor Sci, 2019, 30(4): 431-442. doi: 10.11898/1001-7313.20190404
[19]	Zhang F H, Tao Y W, Gao H, et al. Persistent extreme high temperature event in southern China in late spring of 2018 and the effect of Madden-Julian Oscillation. Trans Atmos Sci, 2019, 42(1): 100-108. https://www.cnki.com.cn/Article/CJFDTOTAL-NJQX201901011.htm
[20]	Tang T, Jin R H, Peng X Y. Analysis on extremely high temperature over southern China in summer 2013. Meteorological Monthly, 2014, 40(10): 1207-1215. doi: 10.7519/j.issn.1000-0526.2014.10.005
[21]	Wang G F, Ye D X, Zhang Y X, et al. Characteristics and abnormal atmospheric circulation of regional high temperature process in 2017 over China. Climate Change Research, 2018, 14(4): 341-349. https://www.cnki.com.cn/Article/CJFDTOTAL-QHBH201804002.htm
[22]	Jin R H, Ma J, Ren H C, et al. Advances and development countermeasures of 10-30 days extended-range forecasting technology in China. Advances in Earth Science, 2019, 34(8): 814-825. https://www.cnki.com.cn/Article/CJFDTOTAL-DXJZ201908007.htm
[23]	Lin A L, Gu D J, Peng D D, et al. A definition index reflecting large-scale characteristics of regional persistent heavy rainfall events. Journal of Tropical Meteorology, 2020, 36(3): 289-298. https://www.cnki.com.cn/Article/CJFDTOTAL-RDQX202003001.htm
[24]	Sun J Q, Wang H J, Yuan W. Decadal variability of the extreme hot event in China and its association with atmospheric circulations. Climatic and Environmental Research, 2011, 16(2): 199-208. doi: 10.3878/j.issn.1006-9585.2011.02.09
[25]	Li Z H, Li C Y, Song J, et al. An analysis of the characteristics and causes of extremely high temperature days in the Yangtze-Huaihe River basins in summer 1960-2011. Climatic and Environmental Research, 2015, 20(5): 511-522. https://www.cnki.com.cn/Article/CJFDTOTAL-QHYH201505003.htm
[26]	Zhang J Y, Qian C. Linear trends in occurrence of high temperature and heat waves in China for the 1960-2018 period: Method and analysis results. Climatic and Environmental Research, 2020, 25(3): 225-239. https://www.cnki.com.cn/Article/CJFDTOTAL-QHYH202003001.htm
[27]	Fang Y L, Xia G C, Zhu S M, et al. Climatic analysis of persistent high temperature in South China. Journal of Meteorological Research and Application, 2013, 34(Suppl Ⅰ): 89-91. https://www.cnki.com.cn/Article/CJFDTOTAL-GXQX2013S1036.htm
[28]	Wang Y W, Zhai P M, Tian H. Extreme high temperatures in southern China in 2003 under the background of climate change. Meteorological Monthly, 2006, 32(10): 27-33. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX200610003.htm
[29]	Ren Z H, Zhang Z F, Sun C. Development of three-step quality control system of real-time observation data from AWS in China. Meteorological Monthly, 2015, 41(10): 1268-1277. doi: 10.7519/j.issn.1000-0526.2015.10.010
[30]	Xu W H, Li Q X, Wang X L, et al. Homogenization of Chinese daily surface air temperatures and analysis of trends in the extreme temperature indices. J Geophys Res Atmos, 2013, 118(17): 9708-9720. doi: 10.1002/jgrd.50791
[31]	Davis R E. Predictability of sea-surface temperature and sea level pressure anomalies over the North Pacific Ocean. J Phys Oceanogr, 1976, 6(3): 249-266. doi: 10.1175/1520-0485(1976)006<0249:POSSTA>2.0.CO;2
[32]	Chen W. Fluctuation in Northern Hemisphere 700 mb height field associated with Southern Oscillation. Mon Wea Rev, 1982, 110(7): 808-823. doi: 10.1175/1520-0493(1982)110<0808:FINHMH>2.0.CO;2
[33]	Wang H J, Sun J H, Wei J, et al. Classification of persistent heavy rainfall events over southern China during recent 30 years. Climatic and Environmental Research, 2014, 19(6): 713-725. https://www.cnki.com.cn/Article/CJFDTOTAL-QHYH201406006.htm
[34]	Liang M, Wu L G. Analysis on features of summer extreme high temperature in eastern China. Journal of the Meteorological Sciences, 2015, 35(6): 701-709. https://www.cnki.com.cn/Article/CJFDTOTAL-QXKX201506005.htm
[35]	Ding T, Qian W, Yan Z. Changes in hot days and heat waves in China during 1961-2007. Int J Climatol, 2010, 30(10): 1452-1462. doi: 10.1002/joc.1989
[36]	Zhu C W, Liu B Q, Zuo Z Z, et al. Recent advances on sub-seasonal variability of East Asian summer monsoon. J Appl Meteor Sci, 2019, 30(4): 401-415. doi: 10.11898/1001-7313.20190402
[37]	Peng Y Y, Liu Y, Miao Y C. A numerical study on impacts of greenhouse gases on Asian summer monsoon. J Appl Meteor Sci, 2021, 32(2): 245-256. doi: 10.11898/1001-7313.20210209
[38]	Ren G, Ding Y, Zhao Z, et al. Recent progress in studies of climate change in China. Adv Atmos Sci, 2012, 29(5): 958-977. doi: 10.1007/s00376-012-1200-2
[39]	Wang C, Wei X L, Yan J D, et al. Grade evaluation of detectioon environment of meterological stations in Beijing. J Appl Meteor Sci, 2019, 30(1): 117-128. doi: 10.11898/1001-7313.20190111