摘要
我国风云四号A星(FY-4A)携带高光谱红外干涉式大气探测仪(Geostationary Interferometric Infrared Sounder,GIIRS)首次实现了地球静止轨道红外高光谱探测,可连续获得大气温湿度廓线信息。基于常规无线电探空资料,从产品的探测能力和精度方面对2020年FY-4A/GIIRS大气温度廓线产品开展质量评估,为产品应用和算法研究提供参考。结果表明:FY-4A/GIIRS反演大气温度廓线探测能力在高度层次和月份统计上受云活跃度影响较大;晴空条件下大气整层均方根误差约为2 K,700~1000 hPa的大气低层较大,约2.5 K,偏差整层以负值为主;月尺度质量评估可见夏秋两季明显优于冬春季,有利于灾害性天气多发季节的监测;有云条件下单个像元的温度廓线误差显著增大,采用多像元Cressman客观分析可有效提高产品可用性;低海拔地区温度廓线产品质量整体优于高海拔地区,可极大地弥补我国东部、南部地区以及广阔的洋面上的探空资料的不足。
FY-4A of China carries the Geostationary Interferometric Infrared Sounder(GIIRS) to realize infrared hyperspectral sounding on a geostationary orbit for the first time,which can continuously obtain information of atmospheric temperature and humidity profiles.Based on the conventional radiosonde data,the quality of FY-4A/GIIRS atmospheric temperature profile products in 2020 is evaluated from the aspects of detection capability and accuracy,providing reference for product applications and algorithm research.The results show that the detection ability of the atmospheric temperature profile retrieved by FY-4A/GIIRS is greatly affected by cloud activity in the height level and monthly statistics.Under clear sky conditions,the root mean square error of the whole atmospheric layer is about 2 K,while the lower atmospheric layer of 700-1 000 hPa is relatively larger(about 2.5 K).The bias of the whole atmospheric layer is mainly negative.The quality assessment of different months shows that summer and autumn are obviously better than winter and spring,which is conducive to observation in the season with the frequent disastrous weather.The temperature profile error of a single pixel is obviously large under cloudy conditions,and the multiple-pixel Cressman objective analysis can effectively improve the product availability.The product quality of temperature profiles in low altitude areas is significantly better than that in high altitude areas,which can greatly make up for the shortage of sounding data in the eastern,southern regions of China and the vast ocean surface.
作者
杜明斌
崔林丽
陆风
彭杰
史军
刘冬韡
樊浩
DU Ming-Bin;CUI Lin-Li;LU Feng;PENG Jie;SHI Jun;LIU Dong-Wei;FAN Hao(Shanghai Ecological Forecasting and Remote Sensing Center,Shanghai 200030,China;Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,FengYun Meteorological Satellite Innovation Center(FY-MSIC),National Satellite Meteorological Center of CMA,Beijing 100081,China)
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2023年第3期399-409,共11页
Journal of Infrared and Millimeter Waves
基金
中国气象局风云先行项目(FY-APP-2021.0106)
国家自然基金(41905007)
上海市科委自然科学基金项目(23ZR1447300)。
