| Title |
Influence of ground surface characteristics on the mean radiant temperature in urban areas
|
|---|---|
| Published in |
International Journal of Biometeorology, February 2016
|
| DOI | 10.1007/s00484-016-1135-x |
| Pubmed ID | |
| Authors |
Fredrik Lindberg, Shiho Onomura, C. S. B. Grimmond |
| Abstract |
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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sri Lanka | 1 | <1% |
| Unknown | 108 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 20% |
| Researcher | 20 | 18% |
| Student > Master | 14 | 13% |
| Student > Doctoral Student | 7 | 6% |
| Student > Bachelor | 6 | 6% |
| Other | 17 | 16% |
| Unknown | 23 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 22 | 20% |
| Earth and Planetary Sciences | 13 | 12% |
| Engineering | 13 | 12% |
| Agricultural and Biological Sciences | 4 | 4% |
| Arts and Humanities | 4 | 4% |
| Other | 13 | 12% |
| Unknown | 40 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 March 2016.
All research outputs
#15,365,885
of 22,858,915 outputs
Outputs from International Journal of Biometeorology
#983
of 1,297 outputs
Outputs of similar age
#234,101
of 397,380 outputs
Outputs of similar age from International Journal of Biometeorology
#12
of 24 outputs
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