首页> 外文会议>Conference on agricultural and forest meteorology >URBAN EFFECTS IN NUMERICAL MODELS AND EVALUATION WITH FIELD EXPERIMENT DATA: PART I: SENSITIVITY TO URBAN CHARACTERIZATION
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URBAN EFFECTS IN NUMERICAL MODELS AND EVALUATION WITH FIELD EXPERIMENT DATA: PART I: SENSITIVITY TO URBAN CHARACTERIZATION

机译:在数值模型中的城市效应和野外实验数据评估:第一部分:对城市特征的敏感性

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Because large structures have significant mechanical effects upon the flow, it is necessary to simulate these effects when predicting flow and/or dispersion within urban centers. In order to accomplish this we have implemented urban parameterizations in ADAPT, a diagnostic windfield model, COAMPS, a mesoscale weather prediction model, and LODI, a Lagrangian particle dispersion model. The first step in using these parameterizations is to characterize the urban regions by the fraction that is covered by buildings, the average building heights, etc. The Department of Energy, through the Chemical and Biological National Security Program (CBNP), has sponsored major field campaign, URBAN 2000, that was conducted in Salt Lake City in October 2000, This was intended to provide data to evaluate the CBNP models. We are using the URBAN data to guide our choice of mappings from urban land use categories to the model parameterization variables. We will describe the mapping developed and report on the sensitivity of the models to these mappings.
机译:由于大结构对流动具有显着的机械效果,因此在预测城市中心内的流动和/或分散时需要模拟这些效果。为了实现这一点,我们已经实施了适应的城市参数,诊断风田模型,助涂,胶囊天气预报模型和LODI,一种拉格朗日粒子分散模型。使用这些参数化的第一步是通过建筑物,平均建筑物高度等的分数来表征城市地区。通过化学和生物国家安全计划(CBNP),能源部(CBNP),已经赞助了主要领域2000年10月在盐湖城进行的竞选活动,这是为了提供数据来评估CBNP模型。我们正在使用城市数据来指导我们选择从城市土地使用类别到模型参数化变量的映射。我们将描述开发的映射和报告模型对这些映射的敏感性。

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