Annual Review of Fluid Mechanics · 2010 · 254 citations · 91 references
Natural SciencesMeteorologyPhysical GeographyAtmospheric DynamicsMesoscale MeteorologyUrban EcologyMesoscale DynamicsSlope FlowsUrban Boundary LayersUrban ClimateUrban ClimatologyComplex Terrain FlowFlow Over EscarpmentsSubgrid ModelingSubgrid-scale ModelingThermal Forcing In ValleysTopographic EffectsUrban Flow PatternsUrban Parameterization
Urban centers in complex terrain experience airflow driven by pressure gradients, thermal forcing, and topographic and anthropogenic influences, with valley cities exemplifying terrain‑induced perturbations, mesoscale thermal circulations, and interactions with built and natural features, all of which are explained by fundamental fluid dynamics and inform subgrid parameterizations. The study reviews intrinsic urban airflow dynamics in complex terrain using idealized flow configurations to illustrate fundamental processes. The review employs idealized flow configurations and focuses on mesoscales (1–100 km) to illustrate the fundamental processes of urban airflow.
A majority of the world's urban centers are located in complex terrain, in which local airflow patterns are driven by pressure gradients and thermal forcing, while being strongly influenced by topographic effects and human (anthropogenic) activities. A paradigm in this context is a city located in a valley surrounded by mountains, slopes, and escarpments, in which the airflow is determined by terrain-induced perturbations to synoptic (background) flow, mesoscale thermal circulation (valley/slope flows) generated by local heating or cooling, and by their interaction with factitious (e.g., buildings and roads) and natural (e.g., vegetation and terrain) elements. The dynamics of airflows intrinsic to urban areas in complex terrain is reviewed here by employing idealized flow configurations to illustrate fundamental processes. Urban flows span a wide range of space and time scales and the emphasis here is on mesoscales (1–100 km). Basic fluid dynamics plays a central role in explaining observations of urban flow and in developing subgrid parameterizations for predictive models.
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