热带气象学报2023，Vol.39Issue(6)：940-954,15.DOI:10.16032/j.issn.1004-4965.2023.080
基于探空资料评估再分析资料中的QBO特征
EVALUATING THE QUASI-BIENNIAL OSCILLATION IN REANALYSIS DATASETS BASED ON RADIOSONDE DATA
摘要
Abstract
Using the radiosonde observation dataset produced by Free University of Berlin(FUB)from 1980 to 2020,this study first evaluates the zonal wind in the middle and lower equatorial stratosphere of ERA5.Then this study analyzes the inter-annual variation of QBO phase conversion time,period and amplitude and the long-term variation trend of QBO period and amplitude in combination with six datasets of reanalysis including ERA5,NCEP1,NCEP2,CFSR,JRA55 and MERRA2 and radiosonde data.The results show that the zonal wind in the middle and lower equatorial stratosphere of ERA5 shows QBO signal.The correlation coefficient between ERA5 and radiosonde data in each layer is greater than 0.97 and the root mean square error(RMSE)is less than 3(except for 10 hPa).The difference of QBO phase conversion time between reanalysis datasets and radiosonde data is mainly one month ahead or behind.Generally,ERA5 and MERRA2 are the closest to radiosonde data.The QBO period and the phase duration of the easterly and westerly from the reanalysis data are very close to those from the radiosonde data.The correlation coefficient is more than 0.97,the RMSE is almost less than 1,and there is almost no significant long-term change trend.However,all of them show the characteristics of becoming more and more unstable with time,ERA5 and MERRA2 are also closer to the radiosonde data.The QBO amplitude from radiosonde data decreases significantly at 10 hPa and 50 hPa while increases significantly at 30 hPa and 70 hPa,but the change trend is not obvious at 20 hPa.The long-term variation trend and inter-annual variation of QBO amplitude from ERA5 are the closest to the radiosonde data,followed by JRA55 and MERRA2.关键词
QBO/年际变化/气候趋势/再分析资料/探空资料/评估Key words
QBO/inter-annual variation/climate trend/reanalysis dataset/radiosonde data/assessment分类
天文与地球科学引用本文复制引用
罗福海,雒佳丽,杨振,田红瑛,袁雷烨,王丽娟..基于探空资料评估再分析资料中的QBO特征[J].热带气象学报,2023,39(6):940-954,15.基金项目
国家重点研究发展计划项目(2018YFC1506003) （2018YFC1506003）
国家自然科学基金项目(42075060) （42075060）
甘肃省自然科学基金(20JR10RA626)共同资助 （20JR10RA626）
