以山东和福建为研究区,基于气象站气候观测数据及ERA5-land再分析数据,采用变化趋势分析、观测减再分析(Observation Minus Reanalysis,OMR)和对比分析等方法,在区域尺度上探讨不同气候背景下城市化引起的局地升温差异.结果表明,1987-2017年山东省台站年平均气温平均变化率略高于福建省,分别为0.38℃·(10a)-1和0.33℃·(10a)-1,但两省各季节气温变化趋势存在很大差异.城市化对山东省年和各季节Tmean变化的影响均大于福建省,北方相对干旱且较长的日照时间更利于城市热岛形成,这是导致上述差异的重要原因.此外,城市化对两省秋、冬季节Tmean变化的影响较春、夏季节更大,这与秋、冬季节相对干旱且静稳的气候特征有关.山东省城市化升温幅度的季节性差异较福建省大,可能与北方地区季节气候波动更大有关.
Comparative analysis of the impact of urbanization on the air temperature change in Shandong and Fujian Provinces
Based on the climate observation data from meteorological stations and ERA5-land reanalysis temperature data,this study uses the methods of trend analysis,Observation Minus Reanalysis(OMR),and comparative analysis,to explore the urbanization-induced local warming differences under different climatic backgrounds at the regional scale in Shandong and Fujian Provinces.The results show that the average trend rate of annual mean temperature(Tmean)at stations in Shandong Province is slightly higher than that in Fujian Province from 1987 to 2017,which is 0.38℃·(10a)-1 and 0.33℃·(10a)-1,respectively,but there is a great difference in the trend of temperature change in each season between the two provinces.The influence of urbanization on the annual and seasonal Tmean changes in Shandong Province is larger than that in Fujian Province,and the relatively arid and longer sunshine duration in the northern areas is more conducive to the formation of urban heat islands,which is an important reason for the abovementioned differences.In addition,the influence of urbanization on Tmean changes in autumn and winter seasons is larger than that in spring and summer,which is related to the relatively dry and static climate characteristics of the autumn and winter seasons.The seasonal difference in the magnitude of urbanisation warming in Shandong province is larger than that in Fujian province,which may be related to the greater seasonal climate fluctuations in the northern region.
temperature changeurbanizationheat island effectbackground climatespatial and temporal variation
万方数据
维普
