Development and Verification of a Bulk Urbanized Land Surface Model
Development and Verification of a Bulk Urbanized Land Surface Model
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大规模城市化地表模型的开发和验证
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Meng Chunle
中科院分区：
文献类型：
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作者：
Meng Chunle
针对城市冠层模式（UCM）的局限性，提出了块体城市化陆面模式（BULSM）的概念，该模式是在最新陆面模式（CoLM）的基础上直接发展起来的。该模型采用了高分辨率的TM影像陆面分类数据。改进了地表能量和水量平衡模型，使之更好地反映城市地表特征。模型中还重新参数化了降雨量、城市地表粗糙度、城市大气廓线、城市人为热、不透水面蒸发和城市地表水深。BULSM保留了CoLM的所有自然地表特征，增强了对城市或非自然地表的模拟和预报能力。区域验证结果以及与CoLM的对比表明，BULSM模拟结果能够反映北京城区陆面参数的精细化分布，反映土地覆盖分类的影响。单点验证结果以及与CoLM和城市化高分辨率陆面数据同化系统（u-HRLDAS）的对比表明，该模式对陆面温度的模拟效果较CoLM有较大提高。在大多数站点中，与基于天气研究和预报模式/城市冠层模式（WRF/UCM）的u-HRLDAS相比，结果也有所改善。
According to the limitations of the urban canopy model(UCM), this paper puts forward the concept of the bulk urbanized land surface model(BULSM), which is developed directly on the basis of an up–do–date land surface model known as the common land model(CoLM). The high-resolution land surface classification data retrieved by thematic mapper(TM) imagery is used in the model. The land surface energy and water balance models are improved to reflect the characteristics of the urban land surface. The albedo, urban land surface roughness height, urban atmospheric profile, urban anthropogenic heat, impervious surface evaporation, and urban surface water depth are also reparameterized in the model. All of the characteristics of the natural land surface of CoLM are preserved in BULSM, and the simulation and prediction ability in urban or unnatural land surfaces are strengthened. Regional validation results and the comparison with CoLM indicate that the simulation results of BULSM can indicate the refinement distribution of the land surface parameters in urban Beijing and reflect the impact of land cover classification. The single point validation results and the comparison with CoLM and Urbanized High-Resolution Land Data Assimilation System(u-HRLDAS) indicate that the simulation result of land surface temperature is greatly improved over that with CoLM. In most of the stations, the results also show improvement compared with u-HRLDAS on the basis of the Weather Research and Forecasting Model/Urban Canopy Model(WRF/UCM).