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eTheses Repository - University of Birmingham

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using different building parameters. The performance <strong>of</strong> BEP has been validated for the city <strong>of</strong><br />

Athens (Martilli 2003), for Basel with measurements from the BUBBLE campaign (Hamdi et al.<br />

2005; Roulet et al. 2005) and for Marseilles with measurements from the ESCOMPTE campaign<br />

(Hamdi et al. 2005). In general the validations find the largest differences between simulations<br />

with and without BEP occur for downtown and suburban areas during night time, with rural sites<br />

showing similar results. Following the implementation <strong>of</strong> the BEP scheme better agreement is<br />

found with measurements for both daytime and night time conditions.<br />

Since this work began, BEP has been chosen as the urban scheme to be implemented in a number<br />

<strong>of</strong> mesoscale research and operational models, such as MC2 (Krayenh<strong>of</strong>f et al. 2005), TVM<br />

(Hamdi et al. 2005), WRF (Martilli et al. 2007), DMI-HIRLAM (Baklanov et al. 2005) and the<br />

Meteo Swiss operational Forecasting model aLMo (Clappier et al. 2005; Muller 2007). However,<br />

it has the disadvantage <strong>of</strong> being more computationally expensive compared to a simpler scheme,<br />

as well as the difficulty in obtaining all the required input information for an extensive domain.<br />

Another disadvantage <strong>of</strong> the BEP scheme is that it does not include latent heat fluxes. This<br />

means it does not take into account the contributions <strong>of</strong> urban parks and gardens to the surface<br />

energy budget. This is overcome in this PhD study by using the relevant METRAS land surface<br />

schemes to treat the urban vegetation.<br />

A SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis was carried out to<br />

summarise the choice <strong>of</strong> the BEP and METRAS models (see Table 2.1 and Table 2.2).<br />

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