Urbanization Effect on Long-Term Trends of Extreme Temperature Events in North China

ZHOU Yaqing; REN Guoyu

doi:10.7522/j.issn.1000-0534.2013.00153

Plateau Meteorology >

2014 , Vol. 33 >Issue 6: 1589 - 1598

DOI: https://doi.org/10.7522/j.issn.1000-0534.2013.00153

Urbanization Effect on Long-Term Trends of Extreme Temperature Events in North China

ZHOU Yaqing ,
REN Guoyu

Expand

Jinzhong Meteorological Bureau of Shanxi Province, Jinzhong 030600, China;2. Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081, China

Received date: 2013-06-21

Online published: 2014-12-28

Fold

Abstract

An analysis of urbanization effect on the long-term trends of extreme temperature events as observed from the national meteorological stations over North China is made in the period of 1961-2008. It is found that the minimum-related extreme temperature indices of both the national stations and the rural stations exhibit statistically significant trends, but those from the national stations are more significant. The abrupt shifts of the cold extreme temperature indices generally occur in 1980s, and those of the warm extreme temperature indices mostly occur in middle to late 1990s. Urbanization leads to significant decrease(increase) in days of cold(warm) extreme indices and significant increase in extreme values of minimum temperature for the national stations. More significant urbanization effects are registered for the extreme indices related to minimum temperature than for those related to maximum temperature, with the urbanization contributions for the formers all above 50%. Urbanization effects on trends of extreme value indices and cold nights are generally larger in spring and wintertime. Changes in cold(warm) days and warm nights due to urbanization, however, are more significant in summertime.

Key words： Extreme temperature; Urbanization effect; Maximum temperature; Minimum temperature

Cite this article

ZHOU Yaqing , REN Guoyu . Urbanization Effect on Long-Term Trends of Extreme Temperature Events in North China[J]. Plateau Meteorology, 2014 , 33(6) : 1589 -1598 . DOI: 10.7522/j.issn.1000-0534.2013.00153

References

[1]IPCC. Climate Change 2007. The Physical Science Basis[R]. Solomon S, Qin D, Manning M, et al. eds. Cambridge, UK and New York, USA: Cambridge University Press, 2007: 996.
[2]气候变化国家评估报告编委会. 气候变化国家评估报告[M]. 北京: 科学出版社, 2007: 80-105.
[3]Alexander L V, Zhang X, Peterson T C, et al. Global observed changes in daily climate extremes of temperature and precipitation[J]. J Geophys Res, 2006, 111, D05109, doi:10.1029/2005JD006290.
[4]Alexander L V, Tapper N, Zhang X, et al. Climate extremes: Progress and future directions[J]. Int J Climatol, 2009, 29: 317-319.
[5]Zhang X, Zwiers F W, Hegerl G C, et al. Detection of human influence on twentieth-century precipitation trends[J]. Nature, 2007, 448: 461-465.
[6]Choi G, Collins D, Ren G, et al. Changes in means and extreme event s of temperature and precipitation in the Asian-Pacific network region, 1955-2007[J]. Int J Climatol, 2009, 29(13): 1906-1925.
[7]Zhai P, Pan X. Trends in temperature extremes during 1951-1999 in China[J]. Geophys Res Lett, 2003, 30, doi: 10.1029/2003 Gl018004.
[8]胡宜昌, 董文杰, 何勇. 21世纪初极端天气气候事件研究进展[J]. 地球科学进展, 2007, 22(10): 1066-1075.
[9]丁一汇, 任国玉.中国气候变化科学概论[M]. 北京: 气象出版社, 2008: 281.
[10]郭军, 任国玉, 任雨. 近100年天津平均气温与极端气温变化[J]. 高原气象, 2011, 30(5): 1399-1405.
[11]陈少勇, 王劲松, 任燕, 等. 近49年中国西北地区极端低温事件的演变特征[J]. 高原气象, 2011, 30(5): 1266-1273.
[12]周雅清, 任国玉. 中国大陆1956-2008 年极端气温事件变化特征分析[J]. 气候与环境研究, 2010, 15(4): 405-417.
[13]任国玉, 封国林, 严中伟. 中国极端气候变化观测研究回顾与展望[J]. 气候与环境研究, 2010, 15(4): 337-353.
[14]Ren G, Chen Y, Zou X, et al. Change in climatic extremes over mainland China based on an integrated extreme climate index[J]. Climate Res, 2011, 50: 113-124, doi: 10.3354/cr01023.
[15]Zhou Y, Ren G. Change in extreme temperature event frequency over mainland China, 1961-2008[J]. Climate Res, 2011, 50: 125-139, doi: 10.3354/cr01053.
[16]段春锋, 缪启龙, 曹雯, 等. 以高山站为背景研究城市化对气温变化趋势的影响[J]. 大气科学, 2012, 36(4): 811-822.
[17]任国玉, 初子莹, 周雅清, 等. 中国气温变化研究最新进展[J]. 气候与环境研究, 2005, 10(4): 701-716.
[18]Jones P D, Groisman P Y, Coughlan M, et al. Assessment of urbanization effects in time series of surface air temperature over land[J]. Nature, 1990, 347: 169-172.
[19]Peterson T C. Assessment of urban versus rural in situ surface temperatures in the contiguous United States: No difference found[J]. J Climate, 2003, 16(18): 2941-2959.
[20]Kalnay E, Cai M. Impact of urbanization and land-use change on climate[J]. Nature, 2003, 423: 528-531.
[21]Ren G, Zhou Y, Chu Z, et al. Urbanization effect on observed surface air temperature trend in North China[J]. J Climate, 2008, 21(6): 1333-1348.
[22]郑祚芳, 高华, 王在文, 等. 北京地区降水空间分布及城市效应分析[J]. 高原气象, 2014, 33(2): 522-529, doi: 10.7522/j.issn.1000-0534.2012.00193.
[23]初子莹, 任国玉. 北京地区城市热岛强度变化对区域温度序列的影响[J]. 气象学报, 2005, 63(4): 534-540.
[24]周雅清, 任国玉. 华北地区地表气温观测中城镇化影响的检测和订正[J]. 气候与环境研究, 2005, 10(4): 743-753.
[25]周雅清, 任国玉. 城市化对华北地区最高、最低气温和日较差变化趋势的影响[J]. 高原气象, 2009, 28(5): 1158-1166.
[26]李书严, 陈洪滨, 李伟. 城市化对北京地区气候的影响[J]. 高原气象, 2008, 27(5): 1102-1110.
[27]白虎志, 任国玉, 张爱英, 等. 城市热岛效应对甘肃省温度序列的影响[J]. 高原气象, 2006, 25(1): 90-94.
[28]张爱英, 任国玉, 周江兴, 等. 中国地面气温变化趋势中的城市化影响偏差[J]. 气象学报, 2010, 68(6): 957-966.
[29]杜予罡, 唐国利, 王元. 近100年中国地表平均气温变化的误差分析[J]. 高原气象, 2012, 31(2): 456-462.
[30]张雷, 任国玉, 刘江, 等. 城市化对北京气象站极端气温指数趋势变化的影响[J]. 地球物理学报, 2011, 54(5): 1150-1169.
[31]Liu X N, Li Q X. Research of the inhomogeneity test of climatological data series in China[J]. Acta Meteor Sini, 2003, 17(4): 492-502.
[32]Li Q X, Liu X N, Zhang H Z, et al. Detecting and adjusting temporal inhomogeneity in Chinese mean surface air temperature data[J]. Adv Atmos Sci, 2004, 21(2): 260-268.
[33]任国玉, 张爱英, 初子莹, 等.我国地面气温参考站点遴选的依据、原则和方法[J]. 气象科技, 2010, 38(1): 79-85.
[34]Zhang X B, Yang F. RClimDex (1.0) user manual[Z]. http://cccma.seos.uvic.ca/ETCCDI/software.shtml, 2004.
[35]Von Storch H, Zwiers F W. Statistical analysis in climate research[M]. New York: Cambridge University Press, 2003: 484.
[36]魏凤英. 现代气候统计诊断与预测技术[M]. 第2版. 北京: 气象出版社, 2007.
[37]Jones P D, Hulme M. Calculating regional climatic time series for temperature and precipitation: Methods and illustrations[J]. Int J Climatol, 1996, 16: 361-377.

Options

Outlines

模态框（Modal）标题

Abstract

Cite this article

References