摘要
地表比辐射率计算的不确定性,直接影响到卫星资料在数值预报中同化应用的效果。本文采用美国NOAA/NESDIS的Weng等[1,2]提出的复杂陆面比辐射率模式,同时用NOAA卫星AMSU-ACh1或Ch2反演的地表比辐射率来调整该模式所需的地表参数,从而在缺少详细地表参数的情况下,改进AMSU-A Ch3和Ch15的地表比辐射率计算精度。在积雪地表情况下,用NOAA卫星AMSU-A资料直接反演各通道的比辐射率,在GRAPES同化系统中的应用表明,结果有明显的改进。
The uncertainty of surface emissivity influences directly the efficiency of satellite radiance assimilation in numerical weather prediction model. Based on the microwave land emissivity model developed by Weng in NOAA/NESDIS/Office of Research and Applications, the emissivity data derived from AMSU-A channels 1～3 are used to adjust the surface parameters, so that the obtained surface parameters can be used to improve the calculation accuracy of surface emissivity for AMSU-A channels 3 and 15 where detailed surface parameters are not available for the emissivity model. It has been shown that the results from the applications of the retrieved snow surface emissivity data from AMSU-A in the GRAPES 3DVar numerical weather prediction system are encouraging.
出处
《高原气象》
CSCD
北大核心
2006年第6期1101-1106,共6页
Plateau Meteorology
基金
国家科技攻关计划项目"中国气象数值预报系统技术创新研究"资助
