摘要
提出了一种运用正弦分段模拟法模拟气温日变化的新方法,并以山东省德州、菏泽、泰安、烟台、潍坊和青岛6个地面气象站2009年春、夏、秋、冬不同时段内一个月的自动观测逐时气温,与运用正弦分段模拟法模拟的逐时气温进行比较分析。结果表明,模拟气温与观测气温之间呈显著相关;该方法可以实现传统观测气温与自动观测气温的衔接以及满足作物模型对气温输入时间步长的精度要求;无论从空间或时间上,模拟气温与观测气温偏差及其变幅基本能满足应用需要。
Based on the daily extreme air temperature,this paper presents a sub-sine simulation method to simulate the diurnal variation of temperature.The observation data from six weather stations（Dezhou,Heze,Taian,Yantai,Weifang,Qingdao） in Shangdong province are used to compared with the simulated data.The results showed that：1） There are significant statistical correlations between simulation air temperature and observation air temperature,the average correlation coefficient is 0.84.2）This simulation method can be used to match the traditional observation air temperature with the automatic station data,and can meet the temperature input of time step accuracy in crop model.3）The deviation and its amplitudes between simulation temperature and observation temperature can meet the needs of application.Therefore,this sub-sine simulation method is effective and easy to work.
出处
《气象与减灾研究》
2010年第3期61-65,共5页
Meteorology and Disaster Reduction Research
基金
国家"十一五"科技支撑项目(编号:2008BAK50B02
2007BAC29B05
2006BAD04B03)
教育部高等学校科技创新工程重大项目培育资金项目(编号:708013)
关键词
气温
日极值
正弦
模拟
Temperature
Daily extreme temperature
Sine
Simulation.
