What is already known:
What this study adds:
Abstract:
Unfavorable road conditions due to winter weather have major impacts throughout the United States. Though transportation agencies take measures to prevent freezing precipitation from accumulating on highways, one critical challenge is knowing when road surfaces are sub-freezing. With this motivation, the National Severe Storms Laboratory (NSSL) created a probabilistic model that predicts the likelihood of sub-freezing roads within the U.S. However, one major caveat of this model is that it does not differentiate between road and bridge surfaces, and bridges are commonly known to ice before roads do. This study investigates how road and bridge surface temperatures differ throughout the 2022-2023 winter season using hourly road sensor observations from Road Weather Information System (RWIS) stations in Ohio. Air temperature readings from RWIS towers are used to compare how bridge and road surface temperatures behave in cold environments. Results suggest that roads are typically warmer than bridges when both surface temperatures are below/near freezing. Additionally, if only one surface is below freezing, it is most likely to be the bridge rather than the road. Differences between air and surface temperatures also provide some evidence that suggests surface temperatures on bridges act differently than surface temperatures on roads. However, in environments near freezing (0°C), both road and bridge surfaces are typically 1-3°C warmer than the air temperature. Since roads and bridges behave similarly near 0°C, this suggests that a separate model for bridges may not be necessary as these small deviations will unlikely result in significant changes to the probabilistic output of the model.