中文摘要：

为了评估土地利用变化和人为热对区域气象环境产生的影响，同时针对WRF模式对城市土地利用和人为热刻画不够准确的现状，以上海为例，选用GLC2009对WRF中上海地区原有数据进行修正。通过楼层信息将上海市分为三类（商业区、高强度区、低强度区），同时重新估算了人为热通量和人为热释放日变化系数。利用WRF／UCM对2010年8月11-17日的一次高温过程进行了模拟试验。与观测资料的对比表明：新的土地利用数据较真实地反映了上海地区下垫面的变化，尤其是大规模建设导致的城市功能区变化；使用新的土地利用和人为热数据，温度和比湿模拟的平均偏差分别改善了1．95℃和0．713g／kg；高温范围和比湿对土地利用的改变最敏感，高温强度对人为热最敏感。

英文摘要：

In order to evaluate the effect of land-use change and anthropogenic heat on the regional meteorological environment and to address the problem of inaccurate description of the current land-use data and anthropogenie heat flux released by the Weather Research and Forecasting （WRF） model, this paper takes Shanghai as example and uses Global Land Cover Product in 2009 （GLC2009） data to modify the land-use data in WRF, divides Shanghai＇s land use into three categories （for commercial, high-intensity residential, and low intensity residential use） based on the floor information of buildings, estimates anthropogenic heat and its diurnal profile, and applies a mesoscale coupled model WRF/UCM to simulate a heat wave event during 11-17 August 2010. The result is shown as follows. The new land-use data truly reflect the changes of land surface in urban Shanghai, especially the change of urban functional areas resulting from large-scale construction. By using the new land-use data and anthropogenic heat, the mean bias of temperature and specific humidity are improved by 1.95 ℃ and 0.713 g/kg respectively. The scope of high temperature and specific humidity are sensitive to land-use change while high temperature strength is sensitive to anthropogenic heat.