摘要
由于红外探测器的观测易受云的影响及快速辐射传输模式对云亮温的模拟不精确,在同化风云三号B星(Feng Yun-3B)红外分光计(Infrared Atmospheric Sounder,IRAS)的亮温资料时,首先需要进行云检测,以获得晴空视场点或晴空通道信息。基于最小剩余法(Minimum Residual Method,MRM)对IRAS资料进行了云检测研究,该方法不仅能判识视场点是否有云,还能得到视场点的云参数(有效云量)。同时,采用FY-2E卫星云图对云检测效果进行了验证。结果表明,将该方法用于IRAS资料云检测是可行的。
Since infrared detectors＇ observation is easy to be affected by cloud and the simulation of cloud brightness temperature by a fast radiative transfer mode is not precise, cloud detection should be carried out first in order to obtain clear field-of-view or clear channel information when the bright temperature data from the Infrared Atmospheric Sounder （IRAS） onboard FY-3B satellite are assimilated. The cloud detection study is carried out on the data from IRAS on the basis of the Minimum Residual Method （MRM）. The method not only can distinguish if there exists cloud in the field-of-view, but also can obtain the cloud parameters （effective cloud fraction） in the field-of-view. At the same time, the cloud detection effectiveness is verified by the cloud images from FY-2E satellite. The result shows that the method is feasible for IRAS data cloud detection.
出处
《红外》
CAS
2015年第9期15-20,29,共7页
Infrared
基金
淮河流域气象开放研究基金(HRM201407)
安徽省气象局科技发展基金(KM201507
RC201506)
关键词
风云三号B星
红外分光计
云检测
最小剩余法
卫星云图
FY-3B satellite
infrared atmospheric sounder
cloud detection
minimum residual method
satellite cloud image
