Matches in SemOpenAlex for { <https://semopenalex.org/work/W2531380964> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2531380964 endingPage "89" @default.
- W2531380964 startingPage "79" @default.
- W2531380964 abstract "The high dimensionality and computational constraints associated with filtering problems in large-scale geophysical applications are particularly challenging for the Particle Filter (PF). Approximate but efficient methods such as the Ensemble Kalman Filter (EnKF) are therefore usually preferred. A key element of these approximate methods is localization, which is a general technique to avoid the curse of dimensionality and consists in limiting the influence of observations to neighboring sites. However, while it works effectively with the EnKF, localization introduces harmful discontinuities in the estimated physical fields when applied blindly to the PF. In the present paper, we explore two possible local algorithms based on the Ensemble Kalman Particle Filter (EnKPF), a hybrid method combining the EnKF and the PF. A simulation study in a conjugate normal setup allows to highlight the trade-offs involved when applying localization to PF algorithms in the high-dimensional setting. Experiments with the Lorenz96 model demonstrate the ability of the local EnKPF algorithms to perform well even with a small number of particles compared to the problem size." @default.
- W2531380964 created "2016-10-21" @default.
- W2531380964 creator A5026024934 @default.
- W2531380964 creator A5033130809 @default.
- W2531380964 date "2017-01-01" @default.
- W2531380964 modified "2023-09-24" @default.
- W2531380964 title "Localization in High-Dimensional Monte Carlo Filtering" @default.
- W2531380964 cites W116417043 @default.
- W2531380964 cites W1483307070 @default.
- W2531380964 cites W1822984620 @default.
- W2531380964 cites W1828859704 @default.
- W2531380964 cites W2009104157 @default.
- W2531380964 cites W2030774493 @default.
- W2531380964 cites W2049013344 @default.
- W2531380964 cites W2098613108 @default.
- W2531380964 cites W2102270443 @default.
- W2531380964 cites W2131598171 @default.
- W2531380964 cites W2134255235 @default.
- W2531380964 cites W2150951085 @default.
- W2531380964 cites W2157098139 @default.
- W2531380964 cites W2160444846 @default.
- W2531380964 cites W2161358768 @default.
- W2531380964 cites W2173190456 @default.
- W2531380964 cites W3098843478 @default.
- W2531380964 cites W3102241261 @default.
- W2531380964 doi "https://doi.org/10.1007/978-3-319-54084-9_8" @default.
- W2531380964 hasPublicationYear "2017" @default.
- W2531380964 type Work @default.
- W2531380964 sameAs 2531380964 @default.
- W2531380964 citedByCount "2" @default.
- W2531380964 countsByYear W25313809642017 @default.
- W2531380964 crossrefType "book-chapter" @default.
- W2531380964 hasAuthorship W2531380964A5026024934 @default.
- W2531380964 hasAuthorship W2531380964A5033130809 @default.
- W2531380964 hasBestOaLocation W25313809642 @default.
- W2531380964 hasConcept C105795698 @default.
- W2531380964 hasConcept C106131492 @default.
- W2531380964 hasConcept C111030470 @default.
- W2531380964 hasConcept C11413529 @default.
- W2531380964 hasConcept C134306372 @default.
- W2531380964 hasConcept C154945302 @default.
- W2531380964 hasConcept C15627037 @default.
- W2531380964 hasConcept C157286648 @default.
- W2531380964 hasConcept C19499675 @default.
- W2531380964 hasConcept C206833254 @default.
- W2531380964 hasConcept C26517878 @default.
- W2531380964 hasConcept C31972630 @default.
- W2531380964 hasConcept C33923547 @default.
- W2531380964 hasConcept C38652104 @default.
- W2531380964 hasConcept C41008148 @default.
- W2531380964 hasConcept C52421305 @default.
- W2531380964 hasConcept C79334102 @default.
- W2531380964 hasConceptScore W2531380964C105795698 @default.
- W2531380964 hasConceptScore W2531380964C106131492 @default.
- W2531380964 hasConceptScore W2531380964C111030470 @default.
- W2531380964 hasConceptScore W2531380964C11413529 @default.
- W2531380964 hasConceptScore W2531380964C134306372 @default.
- W2531380964 hasConceptScore W2531380964C154945302 @default.
- W2531380964 hasConceptScore W2531380964C15627037 @default.
- W2531380964 hasConceptScore W2531380964C157286648 @default.
- W2531380964 hasConceptScore W2531380964C19499675 @default.
- W2531380964 hasConceptScore W2531380964C206833254 @default.
- W2531380964 hasConceptScore W2531380964C26517878 @default.
- W2531380964 hasConceptScore W2531380964C31972630 @default.
- W2531380964 hasConceptScore W2531380964C33923547 @default.
- W2531380964 hasConceptScore W2531380964C38652104 @default.
- W2531380964 hasConceptScore W2531380964C41008148 @default.
- W2531380964 hasConceptScore W2531380964C52421305 @default.
- W2531380964 hasConceptScore W2531380964C79334102 @default.
- W2531380964 hasLocation W25313809641 @default.
- W2531380964 hasLocation W25313809642 @default.
- W2531380964 hasOpenAccess W2531380964 @default.
- W2531380964 hasPrimaryLocation W25313809641 @default.
- W2531380964 hasRelatedWork W2005459091 @default.
- W2531380964 hasRelatedWork W2064665624 @default.
- W2531380964 hasRelatedWork W2105532434 @default.
- W2531380964 hasRelatedWork W2111676726 @default.
- W2531380964 hasRelatedWork W2126889921 @default.
- W2531380964 hasRelatedWork W2127224101 @default.
- W2531380964 hasRelatedWork W2381377965 @default.
- W2531380964 hasRelatedWork W2505458652 @default.
- W2531380964 hasRelatedWork W2570122939 @default.
- W2531380964 hasRelatedWork W2906127373 @default.
- W2531380964 isParatext "false" @default.
- W2531380964 isRetracted "false" @default.
- W2531380964 magId "2531380964" @default.
- W2531380964 workType "book-chapter" @default.