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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >An examination of urban heat island characteristics in a global climate model
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An examination of urban heat island characteristics in a global climate model

机译:在全球气候模型中研究城市热岛特征

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A parameterization for urban surfaces has been incorporated into the Community Land Model as part of the Community Climate System Model. The parameterization allows global simulation of the urban environment, in particular the temperature of cities and thus the urban heat island. Here, the results from climate simulations for the AR4 A2 emissions scenario are presented. Present-day annual mean urban air temperatures are up to 4 °C warmer than surrounding rural areas. Averaged over all urban areas resolved in the model, the heat island is 1.1 °C, which is 46% of the simulated mid-century warming over global land due to greenhouse gases. Heat islands are generally largest at night as evidenced by a larger urban warming in minimum than maximum temperature, resulting in a smaller diurnal temperature range compared to rural areas. Spatial and seasonal variability in the heat island is caused by urban to rural contrasts in energy balance and the different responses of these surfaces to the seasonal cycle of climate. Under simulation constraints of no urban growth and identical urban/rural atmospheric forcing, the urban to rural contrast decreases slightly by the end of the century. This is primarily a different response of rural and urban areas to increased long-wave radiation from a warmer atmosphere. The larger storage capacity of urban areas buffers the increase in long-wave radiation such that urban night-time temperatures warm less than rural. Space heating and air conditioning processes add about 0.01 W m~(-2) of heat distributed globally, which results in a small increase in the heat island. The significant differences between urban and rural surfaces demonstrated here imply that climate models need to account for urban surfaces to more realistically evaluate the impact of climate change on people in the environment where they live.
机译:城市表面的参数化已被纳入社区土地模型中,作为社区气候系统模型的一部分。通过参数化,可以对城市环境进行全局模拟,尤其是模拟城市温度,进而模拟城市热岛。在此,展示了针对AR4 A2排放情景的气候模拟结果。今天的城市年平均气温比周围的农村地区高出4°C。在模型中解析的所有城市区域中,热岛的平均值为1.1°C,这是由于温室气体导致的本世纪中期模拟的全球土地变暖的46%。通常,夜间的热岛面积最大,这表现为最低温度比最高温度大的城市变暖,与农村地区相比,昼夜温度范围更小。热岛的空间和季节变化是由城乡之间的能量平衡差异以及这些表面对气候季节周期的不同响应引起的。在没有城市增长和城市/农村大气强迫相同的模拟约束下,到本世纪末,城市与农村之间的对比略有下降。这主要是城乡地区对温暖的大气中长波辐射增加做出的不同反应。城市地区更大的存储容量可以抑制长波辐射的增加,从而使城市夜间的温度低于农村地区。空间供暖和空调过程增加了约0.01 W m〜(-2)的全球分布热量,这导致了热岛的少量增加。此处显示的城乡表面之间的显着差异意味着,气候模型需要考虑城市表面,才能更现实地评估气候变化对人们所居住环境的影响。

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