摘要
利用上海宝山站L波段探空资料,分析台风季无云、有云和全天空条件下不同质量控制以及台风登陆前后24 h内FY--4A干涉式大气垂直探测仪(Geostationary Interferometric Infrared Sounder,GIIRS)温度资料的反演精度。结果表明:(1)GIIRS温度反演产品在无云条件下反演精度最高,质量控制为0的数据均方根误差(Root Mean Squared Error,RMSE)为1.74 K,表明该产品在对流层中上层具有一定可信度。(2)云层降低了GIIRS温度反演的精度,有云条件下质量控制为0的数据RMSE为3.57 K,超出了美国环境监测系统给出的标准误差范围。(3)有云天空条件下,当温度大于230 K时,GIIRS反演温度均低于探空数据。(4)台风“安比”、“云雀”登陆前24 h内,在500 hPa高度至近地面附近和对流层顶,GIIRS反演温度偏高;台风“云雀”登陆后24 h内,GIIRS在800 hPa高度至近地面附近反演温度偏低,并且反演会产生大量无效值。
Using the L-band sounding data from Shanghai Baoshan Station,the inversion of temperature data of GIIRS/FY-4A Geostationary Interferometric Infrared Sounder(GIIRS)with different quality control data was analyzed under clear sky,cloudy sky and all sky in typhoon season within 24 hours before and after typhoon landing.The results show that:(1)The inversion accuracy of GIIRS temperature is best under clear sky,and the data root mean squared error(RMSE)with quality control of 0 is 1.74 K,which indicates that the inversion product in the upper troposphere has a certain degree of credibility.(2)The cloud layer reduces the accuracy of GIIRS temperature inversion.The data RMSE with quality control of 0 is 3.57 K under cloudy sky,which exceeds the standard error range given by the US Environmental Monitoring System.(3)When the temperature is greater than 230 K under cloudy sky,the inversion temperature of GIIRS is lower than the sounding data detection temperature.(4)Within 24 hours before the landing of typhoon“Ampil”and“Jongdari”,at the tropopause layer and from the height of 500 hPa to the planetary boundary layer,GIIRS inversion temperature is higher;within 24 hours after the landing of typhoon“Jongdari”,from the height of 800 hPa to the phanetary boundary layer,the inversion temperature of GIIRS is lower.The inversion will generate a large number of invalid values.
作者
黄艺伟
刘琼
何敏
陈勇航
赵兵科
夏卫祖
刘统强
HUANG Yi-wei;LIU Qiong;HE Min;CHEN Yong-hang;ZHAO Bing-ke;XIA Wei-zu;LIU Tong-qiang(School of Environmental Science and Engineering,Donghua University,Shanghai 201620,China;School of Atmospheric Sciences,Sun Yat-sen University,Guangdong Province Key Laboratory for Climate Change and Natural DisasterStudies,Southern Marine Science and Engineering GuangdongLaboratory(Zhuhai),Zhuhai 519082,China;Shanghai Typhoon Research Institute,China Meteorological Administration,Shanghai 200030,China;Baoshan Meteorological Burea,Shanghai 201900,China)
出处
《红外》
CAS
2019年第9期28-38,共11页
Infrared
基金
科技部国家重点研发计划项目(2018YFC1506305)
科技部国家重点研发计划项目(2017YFA0603502)
国家自然科学基金面上项目(41975029)
