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

Autor:	A. I. Popova, A. V. Lavrinenko, N. P. Krasnenko, Yu B Popov, K Yu Popova, P. Karpushin
Rok vydání:	2017
Předmět:	Atmosphere Troposphere Spatial correlation Altitude Meteorology law Radiosonde Experimental data Environmental science Kalman filter Wind speed law.invention
Zdroj:	IOP Conference Series: Earth and Environmental Science. 96:012010
ISSN:	1755-1315 1755-1307
DOI:	10.1088/1755-1315/96/1/012010
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::10084516522fce8431978d217ed69436 https://doi.org/10.1088/1755-1315/96/1/012010 Zobrazit plný text záznamu