【作者】 李娇； 任国玉； 任玉玉； 张雷；

【Author】 LI Jiao;REN Guo-yu;REN Yu-yu;ZHANG Lei;School of Atmospheric Sciences,NUIST;Laboratory for Climate Studies(National Climate Center);Tieling Meteorological Bureau;

【机构】 南京信息工程大学大气科学学院； 中国气象局气候研究开放实验室(国家气候中心)； 铁岭市气象局；

【摘要】 利用国家气象信息中心2013年发布的逐日均一化气温资料,对沈阳站资料均一化处理前后平均气温和极端气温指数序列的线性趋势及其城市化影响偏差进行了比较评价。结果表明:1)资料均一化处理对日最高气温及其衍生的极端气温指数序列趋势估计的影响较弱,但对日最低气温及其衍生的极端气温指数序列趋势估计具有显著影响;2)经资料均一化处理后,平均气温序列中的城市化影响偏差有所增大,平均最低气温序列中的城市化影响偏差增大尤其明显;与冷事件有关的极端气温指数序列的城市化影响偏差数值有所减小,与暖事件有关的极端气温指数序列的城市化影响偏差数值有所增加;3)资料均一化处理有效纠正了因迁站等原因造成的地面气温观测记录中的非均一性,但却在很大程度上还原了城市站地面气温观测记录中的城市化影响偏差。更多还原

【Abstract】 Based on homogeneous daily surface air temperature dataset which is released by the National Meteorological Information Center recently,the linear trends of mean temperature and extreme temperature indices and their urban biases were compared and evaluated before and after homogenization adjustment in Shenyang station.The result shows that inhomogeneity of temperature series cause weak effect on the trend estimation of extreme temperature indices with relevant to daily maximum temperature and obvious effect on the daily minimum temperature and also the same effect on annual mean temperature.It is also idicating that the urban bias of annual mean temperature is generally increased after homogenization adjustment,with the annual mean minimum temperature increasing obvious particularly.Somewhat differently, the urban bias of extreme temperature indices has been reduced associated with cold events and increased associated with warm events after homogenization adjustment.Therefore homogenization adjustment can correct the non-uniformity effectively such as relocation of surface air temperature records but it also adds new urban bias to the observational record to a certain extent.更多还原