The climate effects of increasing the albedo of roofs in a cold region†

Urban heat island (UHI) phenomenon has been observed in many large cities located in cold regions (e.g. Montreal in Canada) during summer. One of the well-known strategies to mitigate the temperature rise of urban areas is increasing their albedo. Roofs cover about 25% of urban areas and increasing their reflectivity would have a significant effect on the total energy budget of a city. We have studied the effect of increasing the albedo of roofs on the air and skin temperature distributions of the Greater Montreal area. We performed simulations for one-day summer episode (12 July 2005) using the Weather Research and Forecasting (WRF) mesoscale model. The WRF solver (version 3.4.1) is coupled with three different urban canopy models (UCMs): slab, single-layer, and multi-layer. We used all three UCMs by increasing the roof albedo from 0.2 to 0.8 and compared the results. All models simulated a well-defined UHI over areas with high concentration of roofs. They predicted a maximum air temperature decrease of about 1 K by implementing cool roofs. The difference between the skin (surface) temperature of urban area and its surrounding was about 9 K. The maximum air temperature difference between the urban and suburban areas was about 4 K.

[1]  H. D. Orville,et al.  Bulk Parameterization of the Snow Field in a Cloud Model , 1983 .

[2]  J. Dudhia,et al.  Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity , 2001 .

[3]  J. Monteith,et al.  Boundary Layer Climates. , 1979 .

[4]  M. Chou,et al.  Technical report series on global modeling and data assimilation. Volume 3: An efficient thermal infrared radiation parameterization for use in general circulation models , 1994 .

[5]  H. Akbari,et al.  Solar spectral optical properties of pigments—Part II: survey of common colorants , 2004 .

[6]  H. Akbari,et al.  Measuring solar reflectance—Part I: Defining a metric that accurately predicts solar heat gain , 2010 .

[7]  Z. Janjic The Step-Mountain Eta Coordinate Model: Further Developments of the Convection, Viscous Sublayer, and Turbulence Closure Schemes , 1994 .

[8]  Zavisa Janjic,et al.  The Step-Mountain Coordinate: Physical Package , 1990 .

[9]  Oar,et al.  Heat Island Effect , 2014 .

[10]  David D. Parrish,et al.  NORTH AMERICAN REGIONAL REANALYSIS , 2006 .

[11]  W. Emery,et al.  Satellite-derived urban heat islands from three coastal cities and the utilization of such data in urban climatology , 1989 .

[12]  G. Grell,et al.  A generalized approach to parameterizing convection combining ensemble and data assimilation techniques , 2002 .

[13]  Jeffrey B. Basara,et al.  Verification of a Mesoscale Data-Assimilation and Forecasting System for the Oklahoma City Area during the Joint Urban 2003 Field Project , 2006 .

[14]  R. Bornstein Observations of the Urban Heat Island Effect in New York City , 1968 .

[15]  Zaviša I. Janić Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model , 2001 .

[16]  Shepard A. Clough,et al.  Atmospheric radiative transfer modeling: a summary of the AER codes , 2005 .