Zobrazeno 1 - 10
of 14
pro vyhledávání: '"E G, Klimova"'
Autor:
M. V. Platonova, E. G. Klimova
Publikováno v:
Interexpo GEO-Siberia. 4:132-137
This work is devoted to the problem of obtaining an estimate of methane emissions using satellite data and the results of mathematical modeling. To implement the algorithm, a variant of the local Kalman ensemble filter (LETKF) is used, which represen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0aadb3ed70e72c5b0031f2e3c41634b
https://doi.org/10.33764/2618-981x-2022-4-132-137
https://doi.org/10.33764/2618-981x-2022-4-132-137
Autor:
E. G. Klimova
Publikováno v:
Numerical Analysis and Applications. 13:321-331
The state of the environment is assessed with a mathematical model and observational data by using a data assimilation procedure. At present the ensemble Kalman filter is one of the most popular data assimilation algorithms. An important component of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62d38edd5a41365400879e8a5e08d317
https://doi.org/10.1134/s1995423920040035
https://doi.org/10.1134/s1995423920040035
Autor:
E. G. Klimova
Publikováno v:
Numerical Analysis and Applications. 12:26-36
The Kalman filter is currently one of the most popular approaches to solving the data assimilation problem. A major line of the application of the Kalman filter to data assimilation is the ensemble approach. In this paper, a version of the stochastic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2feabcd1b269ce23e7170b3541ba31b4
https://doi.org/10.1134/s1995423919010038
https://doi.org/10.1134/s1995423919010038
Autor:
E G Klimova
Publikováno v:
Journal of Physics: Conference Series. 1715:012018
In the ensemble Kalman filter, a currently popular data assimilation algorithm, it is assumed that the density of the estimation error distribution is a Gauss function, which is not fulfilled in the general case of a nonlinear model and a nonlinear o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::427fc94d07789fa5191e79cf2eac2ce5
https://doi.org/10.1088/1742-6596/1715/1/012018
https://doi.org/10.1088/1742-6596/1715/1/012018
Autor:
M V Platonova, E G Klimova
Publikováno v:
Journal of Physics: Conference Series. 1715:012021
The task of estimating the greenhouse gas fluxes in the atmosphere from satellite data is relevant. This problem is solved based on a data assimilation system using a model of transport and diffusion of an impurity in the atmosphere. The paper discus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c5608cb7515eb4ad87d4259ed181d59
https://doi.org/10.1088/1742-6596/1715/1/012021
https://doi.org/10.1088/1742-6596/1715/1/012021
Publikováno v:
Russian Journal of Occupational Health and Industrial Ecology. :645-645
During the medical examination of welders of shipbuilding enterprises, a wide prevalence of professional and professionally caused diseases of the skin and subcutaneous tissue was revealed, including combined forms of pathology in the form of epiderm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eefa5c6a51bf617a313eb15de4c0e897
https://doi.org/10.31089/1026-9428-2019-59-9-645-646
https://doi.org/10.31089/1026-9428-2019-59-9-645-646
Publikováno v:
Russian Meteorology and Hydrology. 35:596-603
The procedure is described of the estimation of statistical structure of short-range forecast errors of temperature field in the atmospheric boundary layer for the purpose of objective analysis. The numerical experiments on the estimation of forecast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f1a592bc4291f0037d876ba2f1fd2f9
https://doi.org/10.3103/s1068373910090037
https://doi.org/10.3103/s1068373910090037
Autor:
E. G. Klimova
Publikováno v:
Russian Meteorology and Hydrology. 33:570-576
A practical realization of the data assimilation algorithm based on the Kalman filter in its non-simplified form is impossible for modern forecast models because of the high dimension of the associated sets of equations and nonlinearity of predicted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d54ead23c714a36eb37b5125c899dfdc
https://doi.org/10.3103/s1068373908090045
https://doi.org/10.3103/s1068373908090045