Statistically average atmospheric bending angle model based on COSMIC experimental data

被引:3
作者
Gorbunov, M. E. [1 ,2 ]
Shmakov, A. V. [2 ]
机构
[1] Hydrometeorol Res Ctr Russian Federat, Moscow 123242, Russia
[2] Russian Acad Sci, Inst Atmospher Phys, Moscow 119017, Russia
基金
俄罗斯科学基金会; 俄罗斯基础研究基金会;
关键词
radio occultation sounding; statistical optimization; average profile; bending angle; EARTHS ATMOSPHERE; OCCULTATION; SYSTEM;
D O I
10.1134/S0001433816060050
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The retrieval of profiles of meteorological variables from radio occultation observations requires knowledge of bending angle profiles up to heights of no less than 60-70 km. Because of the residual error of the ionospheric correction, retrieved profiles become too noisy by a height of about 40 km. In order to invert the bending angle profiles, the statistical optimization is used. This makes it possible to construct an optimal linear combination of the a priori estimate of the average bending angle profile and a posteriori noisy estimate based on observations. The estimate of the average bending angle profile for the given coordinates and the time of year is usually based on the climatological atmospheric model. MSIS and CIRA models that have been used for this purpose are now obsolete and do not describe the global changes in the atmospheric state. The model of average bending angles BA-IAP (Bending Angle-Institute of Atmospheric Physics) is built based on the processing of the array of COSMIC radio occultation observations during 2006-2013. The proposed model is statistically validated based on the COSMIC database. It is shown that our model describes the average bending angle profiles more accurately than the MSIS model.
引用
收藏
页码:622 / 628
页数:7
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