吴钲2,
方德贤3,
何军4,
汤剑平1,,
1. 南京大学大气科学学院, 南京 210023
2. 重庆市气象科学研究所, 重庆 401147
3. 重庆市渝北区气象局, 重庆 401147
4. 重庆市气象台, 重庆 401147
基金项目: 重庆市技术创新与应用发展专项重点项目(cstc2019jscx-tjsb0008),国家重点研发计划项目课题(2018YFA0606003),重庆市气象局开放式研究基金项目(川渝城市群对模式温度降水预报的影响研究),重庆市气象局部门建设项目(重庆风暴尺度集合数值预报系统建设)和国家自然科学基金项目(41875124)联合资助
详细信息
作者简介: 肖宇昕, 女, 1996年生, 硕士研究生, 主要研究方向区域气候变化.E-mail:mg1828021@smail.nju.edu.cn
通讯作者: 汤剑平, 男, 南京大学大气科学学院, 博士生导师, 主要从事区域气候变化及数值模拟、气候模式发展和陆气相互作用等研究.E-mail:jptang@nju.edu.cn
中图分类号: P461收稿日期:2019-09-06
修回日期:2020-10-29
上线日期:2021-01-10
Effects of urbanization on summer temperature change in the Sichuan basin from observation and simulation
XIAO YuXin1,,WU Zheng2,
FANG DeXian3,
HE Jun4,
TANG JianPing1,,
1. School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
2. Chongqing Institute of Meteorological Sciences, Chongqing 401147, China
3. Yubei Meteorological Office of Chongqing, Chongqing 401147, China
4. Chongqing Meteorological Observatory, Chongqing 401147, China
More Information
Corresponding author: TANG JianPing,E-mail:jptang@nju.edu.cn
MSC: P461--> Received Date: 06 September 2019
Revised Date: 29 October 2020
Available Online: 10 January 2021
摘要
摘要:城市化引起的气温上升是土地覆盖变化影响区域气候的重要体现.本文采用"观测资料减去再分析"(Observation Minus Reanalysis,OMR)的方法估计四川盆地和周边地区下垫面城市化改变对夏季地面2 m气温变化趋势的影响.设计了不同城市化下垫面扩展变化的WRF模拟试验,对1998—2012年四川盆地及周边区域夏季逐日平均温度和日最高最低气温进行模拟.在检验模式模拟性能的基础上,利用OMR方法类似的思路定量探讨城市化下垫面对地面气温变化趋势的可能影响.结果显示,(1)基于站点观测资料的OMR分布表明成都、重庆地区的城市下垫面对夏季升温的影响可达0.1℃·a-1;(2)WRF试验模拟的结果与实际观测接近,能较合理刻画出该地区夏季温度的平均分布及时间变化特征,可以用于该地区城市化区域气候效应的研究;(3)不同城市化进程的模式模拟试验中气温变化趋势的差值与基于站点观测的OMR方法计算得到的结果类似,都证明了重庆和成都的城市下垫面对地面2 m温度的升高具有显著影响,其中在日内低温的表现尤为突出.
关键词: 四川盆地/
城市化/
地面气温/
OMR方法/
WRF模拟
Abstract:Warming caused by urbanization is a significant expression of land use/cover change influencing regional climate. Using homogenized observational daily mean/ maximum/ minimum temperature series at 169 meteorological stations in the Sichuan basin and the NCEP/DOE reanalysis of surface air temperature data during 1998—2012 in summer, we investigated the sensitivity of surface air temperature change to land use/cover types in the basin by subtracting the reanalysis from the observed surface air temperature (OMR, observation minus reanalysis method). The influence of urbanization on regional temperature was evaluated quantitatively by calculating the differences between the temperature trends from different WRF model experiments. According to the urban areas extracted by the DMSP/OLS nighttime light image, three contrast experiments were designed: Urb1998 with fixed underlying surface information of 1998, Urb2012 with fixed surface of 2012 and the CTL with changing surface over the 15 years. Then we examined summer mean values, inter-annual variation and daily correlation coefficient to evaluate the performance of the CTL experiment. Results suggest that (1) the OMR trends show a significant warming about 0.1 ℃·a-1 in summer over urbanized areas such as Chengdu and Chongqing. Urbanization and the change of land use contribute to the increase of daily mean/ maximum/ minimum temperature, and the effect is more obvious on daily minimum temperature than on daily maximum temperature. (2) The CTL experiment exhibits great performance in depicting the temporal and spatial distributions and is reliable in the research. (3) Both the OMR and modeling results provide the evidence that urbanization has a significant impact on the warming trend of surface air temperature in summer, especially on the trend of daily minimum temperature.
Key words:Sichuan basin/
Urbanization/
Surface air temperature/
OMR method/
WRF
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