New Method of Spatial Extrapolation of Meteorological Fields on the Mesoscale Level Using a Kalman Filter Algorithm for a Four-Dimensional Dynamic–Stochastic Model

Autor:	A. I. Popova, A. V. Kreminskii, N. Ya. Lomakina, V. S. Komarov, A. V. Lavrinenko, Yu. B. Popov
Rok vydání:	2007
Předmět:	Atmospheric Science Extended Kalman filter Statistics Extrapolation Mesoscale meteorology Applied mathematics Ocean Engineering Fast Kalman filter Ensemble Kalman filter Kalman filter Alpha beta filter Geology Invariant extended Kalman filter
Zdroj:	Journal of Atmospheric and Oceanic Technology. 24:182-193
ISSN:	1520-0426 0739-0572
DOI:	10.1175/jtech1967.1
Popis:	A new method and an algorithm of spatial extrapolation of mesometeorological fields to a territory uncovered with observations are suggested. The algorithm uses a linear Kalman filter for a four-dimensional dynamic–stochastic model of space–time variations of the atmospheric parameters. The results of statistical estimation of the quality of the algorithm used for spatial extrapolation of mesoscale temperature and wind velocity fields are discussed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::059f4e8c15c7c7b1372c41855c771f85 https://doi.org/10.1175/jtech1967.1 Zobrazit plný text záznamu Plný text ve formátu PDF