Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Olivier Pannekoucke"'
Autor:
Olivier Pannekoucke
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 73, Iss 1, Pp 1-27 (2021)
In geophysics, the direct application of covariance matrix dynamics described by the Kalman filter (KF) is limited by the high dimension of such problems. The parametric Kalman filter (PKF) is a recent alternative to the ensemble Kalman filter, where
Externí odkaz:
https://doaj.org/article/e18e4a3c6d874b82a78ba97778e0a390
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 68, Iss 0, Pp 1-14 (2016)
A computational simplification of the Kalman filter (KF) is introduced – the parametric Kalman filter (PKF). The full covariance matrix dynamics of the KF, which describes the evolution along the analysis and forecast cycle, is replaced by the dyna
Externí odkaz:
https://doaj.org/article/df7327756bae47708546af7ae7fc2600
Publikováno v:
Advances in Meteorology, Vol 2016 (2016)
The aim of this contribution is to provide a description of the difference between Kalman filter and particle filter when the state space is of high dimension. In the Gaussian framework, KF and PF give the same theoretical result. However, in high di
Externí odkaz:
https://doaj.org/article/de523f2e4ffb4987a7a25a16ff39fb7e
Autor:
Rihab Mechri, Catherine Ottlé, Olivier Pannekoucke, Abdelaziz Kallel, Fabienne Maignan, Dominique Courault, Isabel F. Trigo
Publikováno v:
Remote Sensing, Vol 8, Iss 7, p 586 (2016)
A wide range of environmental applications require the monitoring of land surface temperature (LST) at frequent intervals and fine spatial resolutions, but these conditions are not offered nowadays by the available space sensors. To overcome these sh
Externí odkaz:
https://doaj.org/article/dd2d46214ba04b60805122c0e97a4efa
Autor:
B. Pajot, Sebastien Massart, Daniel Hurtmans, W. A. Lahoz, Andrea Piacentini, Cathy Clerbaux, Daniel Cariolle, P.-F. Coheur, Olivier Pannekoucke
The pixel size of the Infrared Atmospheric Sounding Interferometer (IASI) remote sensor is much smaller than the horizontal grid size of current Chemical Transport Models (CTMs). In order to assimilate the maximum of information from the IASI retriev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc2c813609255a746b50f8c0bd344fe9
https://hal.science/hal-04113885
https://hal.science/hal-04113885
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 147:3498-3520
Publikováno v:
eISSN
This contribution explores a new approach to forecasting multivariate covariances for atmospheric chemistry through the use of the parametric Kalman filter (PKF). In the PKF formalism, the error covariance matrix is modellized by a covariance model r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5fa607fdc2da9b3aca382dcd80c90ec
https://doi.org/10.5194/egusphere-2022-928
https://doi.org/10.5194/egusphere-2022-928
Space weather is of interest to the satellite industry as the quantity of radiation can rapidly change in the Earth’s radiation belts during solar events (called geomagnetic storms). Radiation belts dynamics are complex and modelled at ONERA by an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a87d75dac14c84ee3a16e05ea68d752
https://doi.org/10.5194/egusphere-egu22-7606
https://doi.org/10.5194/egusphere-egu22-7606