摘要
利用2016年1月1日至2020年10月1日GPS无线电掩星观测、探空观测、美国微波综合反演系统(MiRS)卫星微波资料反演产品、美国国家环境预报中心全球预报系统(Global Forecast System,GFS)分析资料和欧洲中期天气预报中心ERA5再分析资料这5种资料,采用“三角帽”方法,估计GPS掩星资料的观测误差,分析了资料集之间偏差和误差相关性对观测误差估计值的影响。结果表明,用MiRS资料替代ERA5再分析资料后所得到的掩星观测误差大于用掩星、探空观测、GFS分析和ERA5再分析资料的掩星观测误差。掩星观测误差随纬度增加而减小。本文对即将到来的掩星资料的合理应用具有重要意义。
Based on the five data sources:GPS RO observations,radiosonde observations,satellite Microwave Integrated Retrieval System(MiRS)products,the National Center for Environmental Prediction(NCEP)Global Forecast System(GFS)analysis data,and the European Centre for Medium-Range Weather Forecasts(ECMWF)ERA5 reanalysis data from January 1,2016 to October 1,2020,the observation errors of GPS Radio Occultation(RO)data was estimated by using the three-cornered hat method,moreover,the biases and impacts of error correlations between any two of the above datasets on RO observation error estimation were analyzed.Results show that the newly estimate RO observation errors by the MiRS data are greater than those estimated by RO observations,radiosonde observations,GFS analysis data and ERA5 reanalysis data.The RO observation errors decrease toward high latitudes.This study is of great significance to the proper applications of the upcoming RO data.
作者
王明明
邹晓蕾
徐徐
WANG Mingming;ZOU Xiaolei;XU Xu(Data Assimilation and Application Center,Nanjing University of Information Science&Technology,Nanjing 210044,China)
出处
《气象科学》
北大核心
2022年第3期285-299,共15页
Journal of the Meteorological Sciences
基金
国家重点研发计划项目(2018YFC1507004)。
关键词
GPS掩星资料
“三角帽”方法
观测误差估计
GPS radio occultation
three-cornered hat method
estimate of observation errors
