Next-Generation Land Surface Model for the Prediction of Pavement Temperature

摘要

To meet the information needs of highway maintenance managers, a system for real-time prediction of pavement temperatures was developed at the University of Washington. This system utilizes the NOAH land surface model (National Center for Environmental Prediction, Oregon State University, Air Force, Hydrologic Research Lab LSM) to estimate fluxes of energy to and from the pavement surface and resulting pavement surface temperatures. Data from real-time MM5 weather prediction model forecasts, performed twice-daily at the UW, were used as initial and boundary conditions in pavement temperature simulations. Results of these simulations were compared to observations and the system's forecast skill was verified.