基于通用陆面模式的道路模式研发及性能检验OA

To improve the simulation and forecasting of road meteorological conditions,this study developed a numerical model for road thermal and hydrological processes by integrating road surface thermophysical properties into the Common Land Model(CoLM).The model was forced and validated by using observational data from the Col de Porte experimental site in France(November 1998 to April 1999).Comprehensive evaluations were conducted via sensitivity experiments,case studies of typical events,long-term simulations,and statistical error analysis.Results demonstrate that the initial parameterization is physically sound and computationally stable.The model performs well in simulating road surface temperature and snow depth across diverse meteorological conditions.Case studies indicate that while the model accurately reproduces snow accumulation during early snowfall,deviations occur during natural melt phases,likely due to the omission of lateral heat flux exchange.Long-term simulations further confirm the model's proficiency in capturing diurnal temperature variations and the evolution of winter/spring snow cover.Statistical analysis reveals higher accuracy under snow-free conditions,whereas a systematic cold bias persists in snow-covered winter scenarios.Overall,the proposed road model exhibits robust simulation capabilities and strong applicability for operational traffic weather forecasting.