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The use of screening effects in modelling route-based daytime road surface temperature

Artikel i vetenskaplig tidskrift
Författare Yumei Hu
Esben Almkvist
Fredrik Lindberg
Jörgen Bogren
Torbjörn Gustavsson
Publicerad i Theoretical and Applied Climatology
Volym 125
Nummer/häfte 1
Sidor 303-319
ISSN 0177-798X
Publiceringsår 2016
Publicerad vid Institutionen för geovetenskaper
Sidor 303-319
Språk en
Länkar dx.doi.org/10.1007/s00704-015-1508-...
Ämneskategorier Meteorologi och atmosfärforskning

Sammanfattning

© 2015 The Author(s) Winter road maintenance is essential for road safety. Accurate predictions of the road surface temperature (RST) and conditions can enhance the efficiency of winter road maintenance. Screening effects, which encompass shading effects and the influence of the sky-view factor (ψs), influence RST distributions because they affect road surface radiation fluxes. In this work, light detection and ranging (Lidar) data are used to derive shadow patterns and ψs values, and the resulting shadow patterns are used to model route-based RST distributions along two stretches of road in Sweden. The shading patterns and road surface radiation fluxes calculated from the Lidar data generally agreed well with measured RST values. Variation in land use types and the angle between the road direction and solar azimuth may introduce uncertainties, and accounting for these factors may improve the results obtained in certain cases. A simple shading model that only accounts for the direct radiation at the instant of measurement is often sufficient to provide reasonably accurate RST estimates. However, in certain cases, such as those involving measurements close to sunset, it is important to consider the radiation accumulated over several hours. The inclusion of ψs improves the model performance even more in such cases. Overall, RST models based on the accumulated direct shortwave radiation offered an optimal balance of simplicity and accuracy. General radiation models were built for country road and highway environments, explaining up to 70 and 65 %, respectively, of the observed variation in RST along the corresponding stretches of road.

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