3种再分析资料基本统计量比较  

A Comparison of Basic Statistics Derived from NCEP/NCAR,ECMWF Reanalysis Data and CMA Data

作　　者：何浪[1,2] 吴洪宝[1] 赵晓川[1,3] 

机构地区：[1]南京信息工程大学大气科学学院,江苏南京210044 [2]江苏省气象局,江苏南京210008 [3]营口市气象局,辽宁营口115002

出　　处：《南京气象学院学报》2009年第1期54-63,共10页Journal of Nanjing Institute of Meteorology

基　　金：江苏省气象灾害重点实验室资助项目(KLME060211)

摘　　要：为了评估中国气象部门整理的资料的特色和应用价值,使用统计方法检验了中国资料和NCEP/NCAR、ECMWF再分析资料7月100 hPa、500 hPa位势高度场和1月海平面气压场的气候均值和年际方差的差异显著性,并比较了1月和7月北半球主要大气活动中心面积、强度指数的年际变化差异和相关程度。结果表明:1)ECMWF再分析资料7月100 hPa、500 hPa位势高度场的气候均值都显著小于中国资料,且其历年值分别小于1 660、588 dagpm,与中国资料相比不适合用于研究南亚高压、副热带高压;2)中国资料是由单层等压面图上直接读数得到的,更接近实际观测值,更适宜于诊断单个等压面上的气压系统;3)3种资料冬季蒙古高压、阿留申低压的年际变化一致性要好于夏季南亚高压、副热带高压。In order to evaluate the characteristics and application value of meteorological data compiled by China Meteorological Administration（ CMA data） ,the significance of differences in climatic averages and interannual variances of 100 hPa and 500 hPa geopotential height fields in July and sea level pressure field in January among CMA data and NCEP/NCAR, ECMWF reanalysis data sets are checked by using statistical methods respectively, with the interannual variability and correlations of the area and intensity indices of main active centers of the atmosphere compared in January and July in the Northern Hemisphere. Results show that： 1 ）The climatic mean values of ECMWF 100 hPa and 500 hPa geopotential fields in July are all evidently smaller than those of CMA data, with their long term mean values smaller than 1 660 and 588 dagpm respectively, so that the ECMWF data are not adequate to study the South Asian high and the subtropical high. 2 ） The CMA data, which are directly read from the single level isobaric charts, are closer to observations in situ and more suited to diagnoses of pressure systems on the single isobaric level. 3 ） The interannual variabilities of the Mongolia high and the Aleutian low in winter are more consistent than those of the South Asian high and the subtropical high in summer among the three data sets.

关 键 词：中国资料 NCEP/NCAR再分析资料 ECMWF再分析资料 基本统计量 差异显著性 

分 类 号：P434[天文地球—大气科学及气象学]