Statistical analysis of experimental data for mathematical modeling of physical processes in the atmosphere

International Conference on Computational Information Technologies for Environmental Sciences 2017

生态环境科学;计算机科学

Karpushin, P.A.^1,3 ; Popov, Yu B^2 ; Popova, A.I.^2 ; Popova, K.Yu.^2 ; Krasnenko, N.P.^1,3 ; Lavrinenko, A.V.^4

Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia^1

Surgut State University, Surgut, Russia^2

Institute of Monitoring of Climatic and Ecological Systems SB RAS, Tomsk, Russia^3

V.E. Zuev Institute of Atmospheric Optics SB RAS, Tomsk, Russia^4

关键词: Altitude range;    Empirical data;    Kalman filter algorithms;    Meteorological parameters;    Physical process;    Radiosonde observations;    Spatial correlation functions;    Wind velocities;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/96/1/012010/pdf
DOI  :  10.1088/1755-1315/96/1/012010

来源: IOP

【 摘 要 】

In this paper, the probabilities of faultless operation of aerologic stations are analyzed, the hypothesis of normality of the empirical data required for using the Kalman filter algorithms is tested, and the spatial correlation functions of distributions of meteorological parameters are determined. The results of a statistical analysis of two-term (0, 12 GMT) radiosonde observations of the temperature and wind velocity components at some preset altitude ranges in the troposphere in 2001-2016 are presented. These data can be used in mathematical modeling of physical processes in the atmosphere.