中文摘要：

极端温度事件被使用北京气候中心模仿在这份报纸的大气的一般发行量模型(BCC_AGCM ) 。模型被竞选了有包括太阳的曝晒，温室气体，和每月的海表面温度(SST ) 的观察外部强迫的数据的 136 年。每天最大、最小的温度被模型模仿，并且 16 索引表示各种各样的极端温度事件基于这二个变量是计算的。结果证明每日的最大的温度( TXX )的最大值，每日的最小( TNX )最大，每日的最大值( TXN )的最小，每日的最小( TNN )的最小，温暖的天( TX90p )，温暖的夜里( TN90p )，夏日( SU25 )，当冷天( TX10p )，冷夜里( TN10p )，和寒流持续时间索引( CSDI )有减少的趋势时，热带夜里( TR20 )，和温暖的咒语持续时间索引( WSDI )让在世界的大多数区域在 第20 世纪期间增加趋势。为 18811950， 19511978，和 19792003 的三个时期的温暖 / 冷的天 / 夜里的概率密度功能(PDF ) 被检验。，在 1950 前，冷天 / 夜里有最大的概率，这被发现，它有最小的概率。与冷天 / 夜里的减少的趋势相对照，温暖的天 / 夜里的 PDF 展出一个相反的趋势。另外，霜天(FD ) 和冰天(标志) 有减少的趋势，成长季节变长，并且日报温度范围在第 20 世纪期间正在变得更小。上述极端温度的比较在模型输出和 NCEP 数据之间索引(作为观察拿) 因为 19482000 显示吝啬的值和模仿的索引的趋势接近在那里的观察，和外套是在模仿的索引和观察之间的高关联。但是 FD 的模仿的趋势，标志，成长季节长度，并且日报温度范围不与观察一致，他们的关联低或甚至否定。尽管它捕获了极端温度事件的大多数索引，这显示模型是不能的模仿这四个索引。

英文摘要：

Extreme temperature events are simulated by using the Beijing Climate Center Atmospheric General Circulation Model （BCC_AGCM） in this paper. The model has been run for 136 yr with the observed ex- ternal forcing data including solar insolation, greenhouse gases, and monthly sea surface temperature （SST）. The daily maximum and minimum temperatures are simulated by the model, and 16 indices representing various extreme temperature events are calculated based on these two variables. The results show that the maximum of daily maximum temperature （TXX）, maximum of daily minimum （TNX）, minimum of daily maximum （TXN）, minimum of daily minimum （TNN）, warm days （TXg0p）, warm nights （TNg0p）, summer days （SU25）, tropical nights （TR20）, and warm spell duration index （WSDI） have increasing trends during the 20th century in most regions of the world, while the cold days （TX10p）, cold nights （TN10p）, and cold spell duration index （CSDI） have decreasing trends. The probability density function （PDF） of warm/cold days/nights for three periods of 1881-1950, 1951- 1978, and 1979-2003 is examined. It is found that before 1950, the cold day/night has the largest probability, while for the period of 1979-2003, it has the smallest probability. In contrast to the decreasing trend of cold days/nights, the PDF of warm days/nights exhibits an opposite trend. In addition, the frost days （FD） and ice days （ID） have decreasing trends, the growing season has lengthened, and the diurnal temperature range is getting smaller during the 20th century. A comparison of the above extreme temperature indices between the model output and NCEP data （taken as observation） for 1948 2000 indicates that the mean values and the trends of the simulated indices are close to the observations, and overall there is a high correlation between the simulated indices and the observations. But the simulated trends of FD, ID, growing season length, and diurnal temperature range are not consist