中国农业气象

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气温日变化过程的模拟与订正

余卫东;汤新海;   

  1. 河南省气象科学研究所;河南省睢县气象局;
  • 出版日期:2009-02-10 发布日期:2009-02-10
  • 基金资助:
    科技部“十一五”科技支撑项目(2006BAD04B09);; 河南省气象局科研项目(Z200806)

Simulation and Modification of Daily Variation of Air Temperature

YU Wei-dong1,TANG Xin-hai2(1.Henan Institute of Meteorological Sciences,Zhengzhou 450003,China;2.Suixian Meteorological Bureau,Suixian 476900)   

  • Online:2009-02-10 Published:2009-02-10

摘要: 根据郑州气象观测站2005-2007年逐日最高、最低和4次定时气温观测资料,利用正弦-指数模型、Tk法和本文提出的分段线性订正模型对气温的日变化进行了模拟。对比结果表明:分段线性订正模型的模拟效果优于其他两种方法,其模型效率达到0.99,均方差也明显偏小;不同天气条件下,正弦-指数模型和Tk法模拟精度是云天>晴天>阴天,而分段线性订正模型的模拟精度是阴天>云天>晴天;三种方法对白天气温的模拟效果均好于夜间。

关键词: 气温, 日变化, 正弦-指数模型, 分段线性订正模型, Tk法

Abstract: Based on the daily four times' records of temperature and daily maximum and minimum temperature in Zhengzhou meteorological station from 2005 to 2007,the daily variation of air temperature was by the sine-exponential model,the Tk method and the piecewise linear model which proposed in this paper.The simulated results showed that the piecewise linear model performed better than the other two methods with a ME(Model Efficiency)by 0.99 and a less RMSE(Root Mean Square Error).Under different weather conditions,the simulated precision for the sine-exponential model and the Tk method was best in cloudy days,followed by clear days and overcast days.However,the simulated precision for the piecewise linear model was best in overcast days,followed by cloudy days and clear days.For all of three methods,the performance in daytime was always better than that at night.

Key words: Air temperature, Air temperature, Daily variation, Sine-exponential model, Piecewise linear model, Tk method