%0 Journal Article %1 lee-modelling1_2001 %A Chapman, Lee %A Thornes, John E %A Bradley, Andrew V %D 2001 %I John Wiley & Sons, Ltd. %J Meteorological Applications %K road_surface_temperature weather %N 4 %P 409--419 %R 10.1017/S1350482701004030 %T Modelling of road surface temperature from a geographical parameter database. Part 1: Statistical %U http://dx.doi.org/10.1017/S1350482701004030 %V 8 %X The variation of road surface temperature across a road network is influenced regionally by meteorological parameters and locally by geographical parameters. A fast and reliable technique is described which allows the continuous collection of high resolution, geographical data including the sky-view factor which is suitable for use in road climate modelling studies. Then, by use of regression analysis, the relative importance of five geographical parameters (altitude, topography, sky-view factor, landuse and road construction) is assessed with respect to road surface temperature and atmospheric stability. Results show that sky-view factors dominate surface temperatures at high atmospheric stability whereas altitude becomes increasingly important as stability decreases. Finally, a statistical road surface temperature model is discussed with the ability to explain up to 75% of the variation of residual road surface temperatures in the study area entirely by the interaction of geographical parameters. Copyright © 2001 Royal Meteorological Society

@article{lee-modelling1_2001, abstract = {The variation of road surface temperature across a road network is influenced regionally by meteorological parameters and locally by geographical parameters. A fast and reliable technique is described which allows the continuous collection of high resolution, geographical data including the sky-view factor which is suitable for use in road climate modelling studies. Then, by use of regression analysis, the relative importance of five geographical parameters (altitude, topography, sky-view factor, landuse and road construction) is assessed with respect to road surface temperature and atmospheric stability. Results show that sky-view factors dominate surface temperatures at high atmospheric stability whereas altitude becomes increasingly important as stability decreases. Finally, a statistical road surface temperature model is discussed with the ability to explain up to 75% of the variation of residual road surface temperatures in the study area entirely by the interaction of geographical parameters. Copyright © 2001 Royal Meteorological Society}, added-at = {2017-02-21T13:28:43.000+0100}, author = {Chapman, Lee and Thornes, John E and Bradley, Andrew V}, biburl = {https://www.bibsonomy.org/bibtex/2f28c1e9a9c6b303413ef54a9b93e4ff4/lopusz_sesar}, description = {Modelling of road surface temperature from a geographical parameter database. Part 1: Statistical - Chapman - 2001 - Meteorological Applications - Wiley Online Library}, doi = {10.1017/S1350482701004030}, interhash = {7bd0f2c06c21abe6186d4ed8cc686968}, intrahash = {f28c1e9a9c6b303413ef54a9b93e4ff4}, issn = {1469-8080}, journal = {Meteorological Applications}, keywords = {road_surface_temperature weather}, number = 4, pages = {409--419}, publisher = {John Wiley & Sons, Ltd.}, timestamp = {2017-02-21T13:31:29.000+0100}, title = {Modelling of road surface temperature from a geographical parameter database. Part 1: Statistical}, url = {http://dx.doi.org/10.1017/S1350482701004030}, volume = 8, year = 2001 }