论文部分内容阅读
利用北京多年ERA-Interim再分析资料和探空观测资料分析地面气温及0 ℃层高度特征,对比再分析资料和探空资料的差异,并利用北京和寿县资料分析0 ℃层高度与地面气温的相关性,拟合0 ℃层高度与地面气温的线性关系,另外,利用未参与公式拟合的观测资料进行验证.结果表明:地面气温与0 ℃层高度存在明显季节变化;与探空观测值相比,无论是全年还是分季节,再分析资料的地面气温和0 ℃层高度值都偏低,地面气温平均偏低2 ℃,0 ℃层高度平均偏低200 m;再分析与探空资料的相关性较好,相关系数都大于0.89;地面气温与0 ℃层高度的变化趋势一致,再分析资料和观测资料地面气温与0 ℃层高度的相关系数均大于0.9,20:00大于08:00(北京时),都通过了0.01的显著水平统计检验,且观测资料获得的线性关系优于再分析资料;线性拟合得到的地面气温与0 ℃层高度的线性关系,可为天气雷达判别0 ℃层和预报降水等应用提供辅助信息.“,”In this study,The correlation coefficient (R),bias (Bias),and mean absolute deviation (Mad) were calculated between the surface temperature and 0 ℃ isotherm height by using the ERA-Interim reanalysis data and station observation data of Beijing.The correlation of surface temperature and 0 ℃ isotherm height was analyzed.The fitting linear relationship of surface temperature and 0 ℃ isotherm height was obtained,and the usefulness of the relationship also was proved by using other set of observation data.The results indicate that there is a good correlation between ERA-Interim reanalysis data and site observation data for both surface temperature and 0 ℃ isotherm height in four seasons and 10 years studied with R larger than 0.89;R values for the surface temperature and 0 ℃ isotherm height from the reanalysis data are little lower than those from the site observation data and the bias are mostly less than 2 ℃ and 200 m.The surface temperature and 0 ℃ isotherm height exhibit the similar characteristics of seasonal variation with R larger than 0.8,both from the reanalysis data and observation data,and R at 20:00 (Beijing time) is slightly larger than that at 08:00,which all have passed the statistically significant level at 0.01.the correlation coefficient R between the calculated and observed 0 ℃ isotherm height is very high with the acceptably small Bias,and Mad.So,0 ℃ isotherm height calculated with the relationship between the surface temperature and 0 ℃ isotherm height can be applied to other practical use.