摘要
变分同化风云四号干涉式大气垂直探测仪(Geostationary Interferometric Infrared Sounder,GIIRS)中波通道亮温偏差要求满足高斯分布,因此需进行GIIRS资料偏差订正。在Harris B A等人提出的“离线”法的基础上,发展了基于随机森林(Random Forest,RF)的GIIRS偏差订正方法。在具体执行过程中,基于风云四号多通道扫描成像辐射计(Advanced Geosynchronous Radiation Imager,AGRI)云产品对GIIRS资料进行了云检测。试验结果表明,经过偏差订正的GIIRS亮温偏差满足高斯分布的假定。与“离线”法相比,RF法的订正效果更好。
The brightness temperature bias of the medium wave channel of the variational assimilation geostationary interferometric infrared sounder(GIIRS)of FY-4 is required to meet the Gaussian distribution,so the bias correction of GIIRS data is necessary.Based on Harris B A and Kelly G′s"off-line"method,a method for GIIRS bias correction based on the random forest is developed in this paper.In the specific implementation process,the cloud detection of GIIRS data is carried out based on the advanced geosynchronous radiation imager(AGRI)cloud products of FY-4.The experimental results show that the brightness temperature bias of GIIRS satisfies the assumption of Gaussian distribution after the bias correction.Compared with"off-line"method,random forest method has a better correction effect.
作者
王根
陈娇
戴娟
王悦
WANG Gen;CHEN Jiao;DAI Juan;WANG Yue(Anhui Key Lab of Atmospheric Science and Satellite Remote Sensing, Anhui MeteorologicalObservatory, Hefei 230031, China;Center of Central Asia Atmospheric ScienceResearch, Urumqi 830002, China;Anhui Climate Center, Hefei 230031, China)
出处
《红外》
CAS
2021年第5期39-44,共6页
Infrared
基金
国家自然科学基金项目(41805080)
中亚大气科学研究基金项目(CAAS202003)
安徽省气象台自立项目(AHMO202007,AHMO202004)。
