2004
DOI: 10.1023/b:boun.0000037327.19159.ac
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Simulation of Meteorological Fields Within and Above Urban and Rural Canopies with a Mesoscale Model

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Cited by 168 publications
(142 citation statements)
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“…Masson, 2000;Kusaka et al, 2001;Lee and Park, 2008;Oleson et al, 2008) and the multilayer schemes (e.g. Martilli et al, 2002;Dupont et al, 2004;Kondo et al, 2005). The former group of UCM usually focuses on parametrization of surface energy budgets and has been adopted in the Weather Research and Forecasting (WRF) model (Chen et al, 2011), whereas the latter group attempts to also better represent the flow dynamics induced in urban canopies, although the flow is still parametrized rather than resolved as for example in direct (Coceal et al, 2006) or large-eddy (Bou-Zeid et al, 2009) turbulence simulations.…”
Section: Introductionmentioning
confidence: 99%
“…Masson, 2000;Kusaka et al, 2001;Lee and Park, 2008;Oleson et al, 2008) and the multilayer schemes (e.g. Martilli et al, 2002;Dupont et al, 2004;Kondo et al, 2005). The former group of UCM usually focuses on parametrization of surface energy budgets and has been adopted in the Weather Research and Forecasting (WRF) model (Chen et al, 2011), whereas the latter group attempts to also better represent the flow dynamics induced in urban canopies, although the flow is still parametrized rather than resolved as for example in direct (Coceal et al, 2006) or large-eddy (Bou-Zeid et al, 2009) turbulence simulations.…”
Section: Introductionmentioning
confidence: 99%
“…The existence of various surface types and different exposures to solar radiation in a complex surface geometry can lead to significant variations in heat fluxes over short distances. This problem is well-known, but for practical purposes various simplifications that assume homogeneous properties at the surface like Monin-Obukhov similarity (MOS) are still widely used to estimate the sensible heat flux in mesoscale models, typically with the scalar roughness approach [15,49]. When this method is used, one of the main difficulties is to define a representative value for the surface temperature.…”
Section: Introductionmentioning
confidence: 99%
“…However the urban effect on water vapour has been documented for a few cases but only based on surface measurements (Lee, 1991;Jáuregui and Tejeda, 1998;Unger, 1999;Deosthali, 2000;Unkaševic et al, 2001;Richards, 2005). Indeed, water vapour monitoring is complicated due to the specific constraints of urban areas: soundings are seldom released in city centres, the natural high variability of water vapour is enhanced by the heterogeneities of the urban surface properties which affect the representativeness of surface measurements of urban water vapour and impact on numerical modelling which requires specific subgrid-scale parametrization (Masson, 2000(Masson, , 2006Dupont et al, 2004Dupont et al, , 2006. Overall, studies found in the literature (all previous references in this paragraph) agree WATER VAPOUR VARIABILITY IN AN URBAN AREA 1267 that urban areas are drier (both in specific and relative humidity) than surrounding rural areas due to the lack of urban sources.…”
Section: Introductionmentioning
confidence: 99%