Publication Type

Journal Article

Version

publishedVersion

Publication Date

9-2016

Abstract

There are a number of models available for examining the interaction between cities and the atmosphere over a range of scales, from small scales - such as individual facades, buildings, neighbourhoods - to the effect of the entire conurbation itself. Many of these models require detailed morphological characteristics and material properties along with relevant meteorological data to be initialised. However, these data are difficult to obtain given the heterogeneity of built forms, particularly in newly emerging cities. Yet, the need for models which can be applied to urban areas (for instance to address planning problems) is increasingly urgent as the global population becomes more urban. In this paper, a modeling approach which derives the required land cover parameters for a mid-complex urban energy budget and water budget model (SUEWS) in a consistent manner is evaluated in four cities (Dublin, Hamburg, Melbourne and Phoenix). The required parameters for the SUEWS model are derived using local climate zones (LCZs) for land cover, and meteorological observations from off-site synoptic stations. More detailed land cover and meteorological data are then added to the model in stages to examine the impact on model performance with respect to observations of turbulent fluxes of sensible (QH) and latent (QE) heat. Replacing LCZ land cover with detailed fractional coverages was shown to marginally improve model performance, however the performance of model coupled with ‘coarse’ LCZ data was within the same range of error (20–40 W m− 2 for QE and 40–60 W m− 2 for QH) as high resolution data.

Keywords

UEB, SUEWS, LCZ, Urban model evaluation, Flux measurements

Discipline

Environmental Sciences

Research Areas

Political Science

Publication

Urban Climate

Volume

17

First Page

196

Last Page

215

ISSN

2212-0955

Identifier

10.1016/j.uclim.2016.08.003

Publisher

Elsevier

Additional URL

https://doi.org/10.1016/j.uclim.2016.08.003

Share

COinS