Urban heat island effect and its impact on boundary layer development and land–sea circulation over northern Taiwan

Lin, Chuan-Yao; Chen, Fei; Huang, Jr‐Chuan; Chen, W. C.; Liou, Yuei An; Chen, W. N.; Liu, Shaw C.

doi:10.1016/j.atmosenv.2008.03.015

Cited by 195 publications

(127 citation statements)

References 24 publications

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“…This offline evaluation of the Noah/SLUCM provides an objective assessment and is highly complementary to the evaluation of the coupled WRF/Noah/SLUCM modelling system (e.g. Lin et al, 2008;Miao et al, 2009).…”

Section: Resultsmentioning

confidence: 99%

Trade-offs and responsiveness of the single-layer urban canopy parametrization in WRF: An offline evaluation using the MOSCEM optimization algorithm and field observations

Loridan

Grimmond

Grossman‐Clarke

et al. 2010

Q.J.R. Meteorol. Soc.

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101

143

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For an increasing number of applications, mesoscale modelling systems now aim to better represent urban areas. The complexity of processes resolved by urban parametrization schemes varies with the application. The concept of fitness-forpurpose is therefore critical for both the choice of parametrizations and the way in which the scheme should be evaluated. A systematic and objective model response analysis procedure (Multiobjective Shuffled Complex Evolution Metropolis (MOSCEM) algorithm) is used to assess the fitness of the single-layer urban canopy parametrization implemented in the Weather Research and Forecasting (WRF) model. The scheme is evaluated regarding its ability to simulate observed surface energy fluxes and the sensitivity to input parameters. Recent amendments are described, focussing on features which improve its applicability to numerical weather prediction, such as a reduced and physically more meaningful list of input parameters. The study shows a high sensitivity of the scheme to parameters characterizing roof properties in contrast to a low response to road-related ones. Problems in partitioning of energy between turbulent sensible and latent heat fluxes are also emphasized. Some initial guidelines to prioritize efforts to obtain urban land-cover class characteristics in WRF are provided.

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Section: Resultsmentioning

confidence: 99%

Trade-offs and responsiveness of the single-layer urban canopy parametrization in WRF: An offline evaluation using the MOSCEM optimization algorithm and field observations

Loridan

Grimmond

Grossman‐Clarke

et al. 2010

Q.J.R. Meteorol. Soc.

Self Cite

101

143

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“…The impacts of urban models on the meteorological fields in the lower atmosphere have been studied over a range of large cities (e.g., Kusaka and Kimura 2004;Otte et al 2004;Dandou et al 2005;Lin et al 2008;Miao et al 2009;Grossman-Clarke et al 2010;Lee et al 2010;Flagg and Taylor 2011;Salamanca et al 2011). In particular, the WRF/UCM have been used for different studies.…”

Section: Introductionmentioning

confidence: 99%

“…For accurate modelling of urban meteorological fields, we need the appropriate land-use data (location of urbanized areas and their fraction in a grid cell) and an urban model that describes heat/momentum exchange between urban structures and the lower atmosphere. For example, the impact of land-use data on temperature in the lower atmosphere was studied using WRF/UCM over the Phoenix metropolitan area in the U.S.A. by Grossman-Clarke et al (2010) and over northern Taiwan by Lin et al (2008).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Weather Research and Forecast/Urban Model Over Greater Paris

Kim

Sartelet

Raut

et al. 2013

Boundary-Layer Meteorol

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Meteorological modelling in the planetary boundary layer (PBL) over Greater Paris is performed using the Weather Research and Forecast (WRF) numerical model. The simulated meteorological fields are evaluated by comparison with mean diurnal observational data or mean vertical profiles of temperature, wind speed, humidity and boundary-layer height from 6 to 27 May 2005. Different PBL schemes, which parametrize the atmospheric turbulence in the PBL using different turbulence closure schemes, may be used in the WRF model. The sensitivity of the results to four PBL schemes (two non-local closure schemes and two local closure schemes) is estimated. Uncertainties in the PBL schemes are compared to the influence of the urban canopy model (UCM) and the updated Coordination of Information on the Environment (CORINE) land-use data. Using the UCM and the CORINE land-use data produces more realistic modelled meteorological fields. The wind speed, which is overestimated in the simulations without the UCM, is improved below 1,000 m height. Furthermore, the modelled PBL heights during nighttime are strongly modified, with an increase that may be as high as 200 %. At night, the impact of changing the PBL scheme is lower than the impact of using the UCM and the CORINE land-use data.

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“…Later, Chen et al (2011) applied this modeling system to the HoustonGalveston area, and found that it did a remarkable job of capturing the observed nocturnal UHI intensity, diurnal rotation of surface winds, as well as the timing and vertical extent of the sea breeze and its reversal in the boundary layer. Lin et al (2008), Shou and Zhang (2010), and Chen et al (2011) investigated the interaction between UHI and sea breeze. Miao et al (2010Miao et al ( , 2011 and Lin et al (2011) evaluated the impact of urbanization on heavy rainfalls.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Urban Heat Island Effect by the WRF Model with 4-km Grid Increment: An Inter-Comparison Study between the Urban Canopy Model and Slab Model

Kusaka

Chen

Tewari

et al. 2012

Journal of the Meteorological Society of Japan

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The present study applies the WRF model involving the single-layer urban canopy model (hereafter, WRF_UCM) to urban climate simulation of the Tokyo metropolitan area for August (2004)(2005)(2006)(2007) and compare results to (a) observations, and (b) the WRF model involving the slab urban model (hereafter, WRF_SLAB). In this urban area, WRF_UCM accurately captures the observed monthly mean daytime and nocturnal UHI, whereas WRF_SLAB does not show a nocturnal UHI. Moreover, the observed diurnal variations of the surface air temperature for central Tokyo and Kumagaya, a nearby inland city, are reproduced well by WRF_UCM. However, WRF_SLAB exhibits both a 1-hr phase shift and a 6.2 C excess oscillation magnitude over observations. In addition, WRF_UCM accurately reproduces the frequency distribution of surface air temperatures, showing a maximum at 27 C, whereas WRF_SLAB produce a bimodal distribution, with double peaks at 23 and 33 C. Finally, WRF_UCM does a much better job than WRF_SLAB at modeling the relative humidity.

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Urban heat island effect and its impact on boundary layer development and land–sea circulation over northern Taiwan

Cited by 195 publications

References 24 publications

Trade-offs and responsiveness of the single-layer urban canopy parametrization in WRF: An offline evaluation using the MOSCEM optimization algorithm and field observations

Trade-offs and responsiveness of the single-layer urban canopy parametrization in WRF: An offline evaluation using the MOSCEM optimization algorithm and field observations

Evaluation of the Weather Research and Forecast/Urban Model Over Greater Paris

Numerical Simulation of Urban Heat Island Effect by the WRF Model with 4-km Grid Increment: An Inter-Comparison Study between the Urban Canopy Model and Slab Model

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