Open AccessA surface‐temperature prediction model for porous asphalt pavement and its validation
Author(s) -
Shao J,
Lister P J,
McDonald A
Publication year - 1994
Publication title -
meteorological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 59
eISSN - 1469-8080
pISSN - 1350-4827
DOI - 10.1002/met.5060010207
Subject(s) - asphalt , asphalt pavement , porosity , materials science , environmental science , surface (topology) , composite material , mathematics , geometry
A numerical road‐ice prediction model is further developed to predict surface temperature and surface state for porous asphalt pavement, which is significantly colder at night and warmer at daytime than conventional asphalt pavement. The model is validated against temperature measurements on both porous and conventional asphalt pavements, using actual input data for the complete winter 1992/93. The validation of model rum at noon shows that, on average, the model has a near‐zero bias for minimum, maximum and overall hourly temperature forecasts. The model has the smallest standard deviation (0.78 °C) for minimum temperature forecasts and the largest standard deviation (1.92 °C) for maximum temperature forecasts. Nearly 90% of frost days are predicted. Model runs with different start times at 1200 1500, 1900 and 0000 show consistently good results.