Influence of ground surface characteristics on the mean radiant temperature in urban areas

The effect of variations in land cover on mean radiant temperature ( T mrt ) is explored through a simple scheme developed within the radiation model SOLWEIG. Outgoing longwave radiation is parameterised using surface temperature observations on a grass and an asphalt surface, whereas outgoing short...

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Bibliographic Details
Published in:International journal of biometeorology 2016-09, Vol.60 (9), p.1439-1452
Main Authors: Lindberg, Fredrik, Onomura, Shiho, Grimmond, C. S. B.
Format: Article
Language:English
Subjects:
Albedo
Animal Physiology
Asphalt
Biological and Medical Physics
Biophysics
Earth and Environmental Science
Earth and Related Environmental Sciences
energy
Environment
Environmental Health
environments
fluxes
freiburg
Geovetenskap och miljövetenskap
germany
Gothenburg
Grasses
Hydrocarbons
Land use
London
Meteorology
Models, Theoretical
Original Paper
outdoor thermal comfort
parameterization
Plant Physiology
Poaceae
solar-radiation
SOLWEIG
street canyon
summer
Sunlight
Surface mount technology
Surface temperature
Temperature
Temperature effects
Urban areas
Water
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Summary:The effect of variations in land cover on mean radiant temperature ( T mrt ) is explored through a simple scheme developed within the radiation model SOLWEIG. Outgoing longwave radiation is parameterised using surface temperature observations on a grass and an asphalt surface, whereas outgoing shortwave radiation is modelled through variations in albedo for the different surfaces. The influence of ground surface materials on T mrt is small compared to the effects of shadowing. Nevertheless, altering ground surface materials could contribute to a reduction in T mrt to reduce the radiant load during heat-wave episodes in locations where shadowing is not an option. Evaluation of the new scheme suggests that despite its simplicity it can simulate the outgoing fluxes well, especially during sunny conditions. However, it underestimates at night and in shadowed locations. One grass surface used to develop the parameterisation, with very different characteristics compared to an evaluation grass site, caused T mrt to be underestimated. The implications of using high temporal resolution (e.g. 15 minutes) meteorological forcing data under partly cloudy conditions are demonstrated even for fairly proximal sites.
ISSN:0020-7128
1432-1254
DOI:10.1007/s00484-016-1135-x