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# 城市化对北京观象台极端气温指数序列 变化的影响 张雷 任国玉 周雅清 任玉玉 国家气候中心 PowerPoint PPT Presentation

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#### Presentation Transcript

1.前言

(IPCC,2007)

2.资料

（1）最高气温减去最低气温为负值则标记为错误值，且最

（2）超出平均值4倍标准差的记录被标记出界值，根据邻

（3）所有缺测值取本站1971～2000年的平均值，资料序列

（4）上甸子站有一次迁站记录，利用t检验方法分别对

ΔXur = Xu - Xr (1)

Xu为城市站极端气温指数的变化趋势，

Xr为乡村站极端气温指数的变化趋势。

Eu = |ΔXur/Xu|×100% = |(Xu-Xr)/Xu|×100% (2)

3.方法

（1）建立各单站月极端气温指数的距平序列；

（2）计算乡村站平均和北京观象台四季、年平均极

（3）将乡村站平均和北京观象台的趋势进行比较，

4.结果分析

Table 4 Effects of urbanization on extreme temperature indices trends and contribution of urbanization

effect to extreme temperature indices trends for Beijing Station for period 1960～2008

Note: A-Urbanization effect (unit:d/10a or ℃/10a ); B-Contribution of urbanization effect ( unit:%). * statistically significant at the 0.05 level; ** statistically

significant at the 0.01 level.

4.结论

2.资料

ΔXur = Xu - Xr (1)

Eu = |ΔXur/Xu|×100% = |(Xu-Xr)/Xu|×100% (2)

Table 3 Trends of extreme temperature indices of rural stations and Beijing Station for 1960～

2008 (unit: d/10a or℃/10a)

Note: * statistically significant at the 0.05 confidence level; ** statistically significant at the 0.01 confidence level