Abstract

The Surface Urban Energy and Water Balance Scheme (SUEWS) is evaluated at two locations in the UK: a dense urban site in the centre of London and a residential suburban site in Swindon. Eddy covariance observations of the turbulent fluxes are used to assess model performance over a two-year period (2011−2013). The distinct characteristics of the sites mean their surface energy exchanges differ considerably. The model suggests the largest differences can be attributed to surface cover (notably the proportion of vegetated versus impervious area) and the additional energy supplied by human activities. SUEWS performs better in summer than winter, and better at the suburban site than the dense urban site. One reason for this is the bias towards suburban summer field campaigns in observational data used to parameterise this (and other) model(s). The suitability of model parameters (such as albedo, energy use and water use) for the UK sites is considered and, where appropriate, alternative values are suggested. An alternative parameterisation for the surface conductance is implemented, which permits greater soil moisture deficits before evaporation is restricted at non-irrigated sites. Accounting for seasonal variation in the estimation of storage heat flux is necessary to obtain realistic wintertime fluxes.

Highlights

  • Surface Urban Energy and Water Balance Scheme (SUEWS) is evaluated at two UK sites: a dense urban site in central London based at the King's College Strand campus (Kc) and a residential suburban site in Swindon (Sw) about 100 km to the west (Fig. 2)

  • The phenology, or state of vegetation, in SUEWS is based on leaf area index (LAI) calculated at a daily timestep according to the number of growing or senescence degree days (Ja14)

  • It is reasonable to expect the base temperature to be slightly higher for these UK sites as the length of the growing season varies with latitude

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Summary

Introduction

Designing, building and operating safe and sustainable cities is a crucial part of managing development. The effects of urban areas extend beyond city borders. Cities contribute to increasing concentrations of atmospheric carbon dioxide (The Keeling Curve, 2014) and are a major source of greenhouse gases Climate-sensitive urban design, urban climate mitigation and disaster management are increasingly important given the changing climate, as the frequency and magnitude of extreme events are predicted to increase To further our knowledge of how the urban surface and atmosphere interact, observational campaigns across a range of sites, climates and weather conditions are required. The most practical way of exploring these interactions in more detail and quantifying the effects of changes to the system (e.g. future climate, urban design scenarios) is to use models

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