摘要
为了定量评估对数正态谱分布假设对水云光学厚度(COT)与有效粒子半径(Re)反演的影响,利用欧洲中期数值天气预报中心建立的RTTOV(Radiative Transfer for TIROS Operational Vertical Sounder)模式,对比模拟了基于对数正态谱和修正Gamma谱两种云滴谱分布下FY-4A/AGRI(Advanced Geosynchronous Radiation Imager)的第2、5通道液态水云的反射率,分析了这两个谱分布假设条件下水云反射率随COT以及Re的变化特征。在此基础上,建立了两种谱分布条件下的COT和Re查算表,并基于2020年夏季的一个初生对流云个例,定量分析了云滴谱分布类型对云参数反演结果的影响。结果表明,在第2通道,两个云滴谱类型假设下计算的反射率仅有0.1%~2%的差异,但在第5通道,采用修正Gamma云滴谱计算的反射率比采用对数正态云滴谱计算的反射率低10%~20%。反演结果表明,采用对数正态云滴谱反演的有效粒子半径Re比采用修正Gamma云滴谱反演的Re整体偏大,前者反演的Re集中在15~35μm,而后者反演的Re集中在10~30μm。采用两种云滴谱反演的COT的空间一致性良好,相差-2%~5%。
In order to quantitatively evaluate the effect of log-normal spectral distribution assumption on retrieval of cloud optical thickness(COT) and effective particle radius(Re), the reflectance of water clouds with log-normal spectrum and modified Gamma spectrum was simulated for the 2 nd and 5 th channels of the AGRI(Advanced Geosynchronous Radiation Imager) onboard FY-4 A satellite by the RTTOV(Radiative Transfer for the TIROS Operational Vertical Sounder) model developed by the European Center for Medium-Range Numerical Weather Forecasts. The variation characteristics of water cloud reflectivity with COT and Re under these spectral distribution assumptions were analyzed. On this basis, the look-up tables of COT and Re under two kinds of spectral distribution conditions are established, and the influence of cloud droplet spectral distribution type on cloud parameter inversion results is quantitatively analyzed based on a primary convective cloud in summer of 2020. The results indicate that for the 2 nd channel, reflectance difference under the assumption of two cloud droplet spectra is within 0.1%--2%, whereas for the 5 th channel, the reflectance calculated with the modified Gamma cloud droplet spectrum is 10%--20% lower than that calculated with the log-normal cloud droplet spectrum. The retrival results show that the effective particle radius r;retrieved with the log-normal cloud droplet spectrum is larger than that retrieved with the modified Gamma cloud droplet spectrum. The former is concentrated in 15--35 μm, while the latter is within 10--30 μm. The differences of COT retrieved with the two cloud drop spectra are relatively small, ranging from-2% to 5%.
作者
袁锦涵
周永波
刘玉宝
段婧
王新
Yuan Jinhan;Zhou Yongbo;Liu Yubao;Duan Jing;Wang Xin(School of Atmospheric Physics,Nanjing University of Information Science&Technology,Nanjing,Jiangsu 210044,China;Precision Regional Earth Modeling and Information Center,Nanjing University of Information Science&Technology,Nanjing,Jiangsu 210044,China;CMA Weather Modification Center,Beijing 100081,China;National Satellite Meteorological Center,Beijing 100081,China)
出处
《光学学报》
EI
CAS
CSCD
北大核心
2022年第6期251-263,共13页
Acta Optica Sinica
基金
中国气象局西北区域人工影响天气能力建设项目(ZQC-R19081)
江苏省基础研究计划(自然科学基金)青年基金(BK20210665)
南京信息工程大学科研启动经费(2019r95)。
关键词
遥感
云滴谱
RTTOV
FY-4A
云光学厚度
有效粒子半径
remote sensing
cloud droplet spectrum
RTTOV
FY-4A
cloud optical thickness
effective particle radius