Journal of Arid Meteorology ›› 2019, Vol. 37 ›› Issue (6): 1028-1034.

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Characteristics of Road Surface Temperature of Shaanxi Expressway and Its Prediction Model

ZHANG Xi1, HAO Yu1, LIANG Jia1, PAN Liujie2,SHEN Jiaojiao1, LU Shan1#br#   

  1. 1. Shaanxi Meteorological Service Center, Xi’an 710014, China;
    2. Shaanxi Meteorological Observatory, Xi’an 710014, China
  • Online:2019-12-31 Published:2020-01-02

陕西省高速公路路面温度特征及预报模型

张曦1,浩宇1,梁佳1 ,潘留杰2,沈姣姣1,卢珊1#br#   

  1. 1.陕西省气象服务中心,陕西西安710014;2.陕西省气象台,陕西西安710014
  • 作者简介:张曦(1989— ),女,陕西榆林人,硕士研究生,工程师,主要从事气象预报服务工作. E-mail:xizhang0617@163.com。

Abstract: Based on the observation data from Shaanxi expressway automatic meteorological stations including the road surface temperature, air temperature, relative humidity, wind speed and cloud cover of reanalysis data of ECMWF from August 2013 to December 2017, the distribution characteristics of the road surface temperature in different seasons and sky conditions were analyzed, and relations between the road surface temperature and meteorological factors were studied, and relevant multivariate regression equations were established. The results show that the road surface temperature had obvious diurnal variation in different seasons. It was easier to freeze on the road surface from 00:00 BST to 08:00 BST after snow. The air temperature was one of the most important factors affecting the road surface temperature. By fitting the measured and caculated values of the road surface temperature, the results show that the model fitted the minimum road surface temperature well in winter with the correlation coefficient above 0.94, and the standard deviation was less than 1 ℃, and the frequency of difference between the observed and mesured temperature ranging from -2 to 2 ℃ was 98%. In addition, the model fitted better when the road surface temperature was 0 ℃.

Key words: road surface temperature, air temperature, multivariate regression equation, road surface freezing, winter

摘要: 利用2013年8月至2017年12月陕西高速公路交通气象站的路面温度、气温、相对湿度、风速等资料和全球大气再分析资料云量数据,分析四季不同天空状况下路面温度的分布特征,研究路面温度与气象因子的关系,建立多元回归方程。结果表明:四季路面温度有明显的日变化规律,雪后,00:00—08:00为路面结冰较易发生时段;气温是影响路面温度变化的最重要因子之一;对比路面温度实测值与预报值,回归模型对冬季路面最低温度的拟合效果较优,相关系数在0.94以上,标准差小于1,误差在±2 ℃的频率为98%。此外,模型对路面0 ℃低温预报水平较高。

关键词: 路面温度, 气温, 回归方程, 路面结冰, 冬季

CLC Number: