Transferability of a Three-Dimensional Air Quality Model between Two Different Sites in Complex Terrain

Länge, R.

doi:10.1175/1520-0450(1989)028<0665:toatda>2.0.co;2

Cited by 37 publications

(15 citation statements)

References 5 publications

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“…Many advanced dispersion models like VLSTRACK [34], HPAC/SCIPUFF [35], ADPIC [36][37][38][39] and MATCH [40] allow for three-dimensional time-dependent meteorological input provided by mesoscale models. For example, HPAC/SCIPUFF may require both three-dimensional meteorological mean fields (e.g.…”

Section: Dispersion Modelsmentioning

confidence: 99%

Toxic gas clouds: Effects and implications of dry deposition on concentration

Jonsson

Karlsson

Thaning

2005

Journal of Hazardous Materials

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Section: Dispersion Modelsmentioning

confidence: 99%

Toxic gas clouds: Effects and implications of dry deposition on concentration

Jonsson

Karlsson

Thaning

2005

Journal of Hazardous Materials

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“…COMPLEX and NOABL have been used to model multiple hilly regions in the United Kingdom, including Blashaval Hill [11,26]. MATHEW was used to model the ASCOT experiments in the California Geysers and Colorado Brush Creek [27], flow in the Appennine Mountains [28], and the EPA-RUSHIL wind-tunnel experiment [29]. WOCSS has been used to model the Los Angeles Basin [25] and the San Francisco Bay area [30].…”

Section: Diagnostic Modelsmentioning

confidence: 99%

Flow Over Complex Terrain, Numerical Modeling Of

Lundquist¹,

Chow²

2012

Encyclopedia of Environmetrics

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This article provides a general description of numerical modeling over complex terrain, including both diagnostic and prognostic approaches and their associated advantages and limitations. Diagnostic models solve simplified versions of the equations of motion and are widely used in the engineering community for simulations of flow over complex terrain. These models produce a description of the steady‐state flow, while requiring few inputs and being computationally efficient. Diagnostic models do not predict time evolution of flow, and are often only appropriate for terrain with small slopes. Prognostic models solve the full equations of motion and are used for both engineering and numerical weather prediction applications. Details of the implementation of prognostic models vary widely, but they are capable of producing time‐varying descriptions of the flow and handling very complex terrain with no limitations on terrain slope. These models can require detailed three‐dimensional inputs and large computational resources. Additional simplifications can reduce these requirements, but generally at the expense of functionality, such as producing a steady‐state solution or the inability to handle arbitrarily complex terrain.

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“…Practical models of eddy di usivity must then parameterize the vertical variation of the eddy di usivity, based on a basic prescription for the eddy di usivity and some height-dependent function. One such model is (Lange, 1989): K (z) = u kz h (z=L) e ;cz=h (8.4)…”

Section: Estimates Of Eddy DI Usivitymentioning

confidence: 99%

Large-Eddy Simulation of the Evolving Stable Boundary Layer Over Flat Terrain

Townsend¹

2002

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Transferability of a Three-Dimensional Air Quality Model between Two Different Sites in Complex Terrain

Cited by 37 publications

References 5 publications

Toxic gas clouds: Effects and implications of dry deposition on concentration

Toxic gas clouds: Effects and implications of dry deposition on concentration

Flow Over Complex Terrain, Numerical Modeling Of

Large-Eddy Simulation of the Evolving Stable Boundary Layer Over Flat Terrain

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