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The Selection Kalman Model - Data assimilation for spatio-temporal variables with multimodal spatial histograms

dc.contributor.advisorOmre, Henning
dc.contributor.advisorRimstad, Kjartan
dc.contributor.authorConjard, Maxime Michel Georges
dc.date.accessioned2021-06-03T10:33:26Z
dc.date.available2021-06-03T10:33:26Z
dc.date.issued2021
dc.identifier.isbn978-82-326-6408-5
dc.identifier.issn2703-8084
dc.identifier.urihttps://hdl.handle.net/11250/2757544
dc.language.isoengen_US
dc.publisherNTNUen_US
dc.relation.ispartofseriesDoctoral theses at NTNU;2020:212
dc.relation.haspartPaper 1: Conjard, Maxime; Omre, Karl Henning. Spatio-temporal Inversion using the Selection Kalman Model. Frontiers in Applied Mathematics and Statistics 2021en_US
dc.relation.haspartPaper 2: Conjard, Maxime; Omre, Henning. Data Assimilation in Spatio-Temporal Models with Non-Gaussian Initial States—The Selection Ensemble Kalman Model. Applied Sciences 2020 ;Volum 10.(17) s. -en_US
dc.relation.haspartPaper 3: Conjard, Maxime Michel Georges; Grana, Dario. Ensemble-Based Seismic and Production Data Assimilation Using Selection Kalman Model. Mathematical Geosciences 2021en_US
dc.titleThe Selection Kalman Model - Data assimilation for spatio-temporal variables with multimodal spatial histogramsen_US
dc.typeDoctoral thesisen_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410en_US


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