Study of Urban Heat Islands Using Different Urban Canopy Models and Identification Methods

被引:13
作者
Silva, Rui [1 ,2 ]
Carvalho, Ana Cristina [3 ]
Carvalho, David [1 ,2 ]
Rocha, Alfredo [1 ,2 ]
机构
[1] Univ Aveiro, Dept Phys, Campus Univ Santiago, P-3810093 Aveiro, Portugal
[2] Univ Aveiro, Ctr Environm & Marine Studies CESAM, Campus Univ Santiago, P-3810093 Aveiro, Portugal
[3] SMHI FoUl, Swedish Meteorol & Hydrol Inst, S-60176 Norrkoping, Sweden
关键词
urban heat island; WRF model; urban canopy model; turbulent kinetic energy; heatwave; Lisbon; LOCAL CLIMATE ZONES; IMPACT; PARAMETERIZATION; TEMPERATURE; CITIES; LAYER; PROJECTIONS; TURBULENCE; HEATWAVES; GEOMETRY;
D O I
10.3390/atmos12040521
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This work aims to compare the performance of the single-(SLUCM) and multilayer (BEP-Building effect parameterization) urban canopy models (UCMs) coupled with the Weather Research and Forecasting model (WRF), along with the application of two urban heat island (UHI) identification methods. The identification methods are: (1) the "classic method", based on the temperature difference between urban and rural areas; (2) the "local method" based on the temperature difference at each urban location when the model land use is considered urban, and when it is replaced by the dominant rural land use category of the urban surroundings. The study is performed as a case study for the city of Lisbon, Portugal, during the record-breaking August 2003 heatwave event. Two main differences were found in the UHI intensity (UHII) and spatial distribution between the identification methods: a reduction by half in the UHII during nighttime when using the local method; and a dipole signal in the daytime and nighttime UHI spatial pattern when using the classic method, associated with the sheltering effect provided by the high topography in the northern part of the city, that reduces the advective cooling in the lower areas under prevalent northern wind conditions. These results highlight the importance of using the local method in UHI modeling studies to fully isolate urban canopy and regional geographic contributions to the UHII and distribution. Considerable improvements were obtained in the near-surface temperature representation by coupling WRF with the UCMs but better with SLUCM. The nighttime UHII over the most densely urbanized areas is lower in BEP, which can be linked to its larger nocturnal turbulent kinetic energy (TKE) near the surface and negative sensible heat (SH) fluxes. The latter may be associated with the lower surface skin temperature found in BEP, possibly owing to larger turbulent SH fluxes near the surface. Due to its higher urban TKE, BEP significantly overestimates the planetary boundary layer height compared with SLUCM and observations from soundings. The comparison with a previous study for the city of Lisbon shows that BEP model simulation results heavily rely on the number and distribution of vertical levels within the urban canopy.
引用
收藏
页数:23
相关论文
共 76 条
[1]  
Alcoforado MJ, 2014, FINISTERRA, V49, P61
[2]   Application of climatic guidelines to urban planning The example of Lisbon (Portugal) [J].
Alcoforado, Maria-Joao ;
Andrade, Henrique ;
Lopes, Antonio ;
Vasconcelos, Joao .
LANDSCAPE AND URBAN PLANNING, 2009, 90 (1-2) :56-65
[3]   Nocturnal urban heat island in Lisbon (Portugal): main features and modelling attempts [J].
Alcoforado, MJ ;
Andrade, H .
THEORETICAL AND APPLIED CLIMATOLOGY, 2006, 84 (1-3) :151-159
[4]   Two decades of urban climate research: A review of turbulence, exchanges of energy and water, and the urban heat island [J].
Arnfield, AJ .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2003, 23 (01) :1-26
[5]  
BOUGEAULT P, 1989, MON WEATHER REV, V117, P1872, DOI 10.1175/1520-0493(1989)117<1872:POOITI>2.0.CO
[6]  
2
[7]  
Büttner G, 2014, REMOTE SENS DIGIT IM, V18, P55, DOI 10.1007/978-94-007-7969-3_5
[8]   Urban resilience to future urban heatwaves under a climate change scenario: A case study for Porto urban area (Portugal) [J].
Carvalho, D. ;
Martins, H. ;
Marta-Almeida, M. ;
Rocha, A. ;
Borrego, C. .
URBAN CLIMATE, 2017, 19 :1-27
[9]  
Chen F, 2001, MON WEATHER REV, V129, P569, DOI 10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO
[10]  
2