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eTheses Repository - University of Birmingham

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More recent efforts to parameterise urban effects on the thermodynamic and momentum fields<br />

are reviewed in Craig et al. (2002), Masson (2006) and Martilli (2007). The nature <strong>of</strong> the<br />

parameterisation used should depend on the aim <strong>of</strong> the simulation and the CPU power available.<br />

Recent efforts have focused on the dynamic or the thermodynamic properties <strong>of</strong> the urban<br />

surface (Masson 2006). The dynamics <strong>of</strong> the urban surface can be parameterised by a change in<br />

roughness length based on the characteristics <strong>of</strong> the urban area (e.g. Bottema 1997), or by<br />

introducing a drag term (e.g. Uno et al. 1989; Brown 2000; Ca et al. 2002; Martilli et al. 2002;<br />

Dupont et al. 2004) to the momentum and turbulent kinetic energy (TKE) equations in order to<br />

represent the drag induced by the presence <strong>of</strong> buildings (this approach is derived from that used<br />

for vegetation canopies).<br />

The thermodynamic effects <strong>of</strong> the surface can be parameterised by modifying the urban surface<br />

energy balance in a number <strong>of</strong> ways, aimed at either finding a relationship between heat storage<br />

and net radiation, or solving the physics <strong>of</strong> the problem (Martilli 2007). A simple approach is<br />

based on the semi-empirical objective hysteresis model (OHM), an empirical formulation for<br />

heat storage, <strong>of</strong> Grimmond et al. (1991) together with the LUMPS scheme (Grimmond et al.<br />

2002) to estimate the turbulent fluxes. However this approach is limited by the availability <strong>of</strong><br />

field data. Another simple approach to represent one <strong>of</strong> the urban effects consists in incorporating<br />

an anthropogenic heat term (Fan et al. 2005), although the success <strong>of</strong> this will also be dependent<br />

on the availability <strong>of</strong> extensive data on energy consumption and traffic. More sophisticated<br />

physical approaches consist in parameterising the shadowing and trapping <strong>of</strong> radiation in the<br />

canyon (Masson 2000) as well as the advanced SM2-U approach <strong>of</strong> Dupont et al. (2004) which<br />

uses a modified soil module which computes the heat fluxes and surface temperatures following<br />

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