Thèse de doctorat : Université de Neuchâtel, 2019.
Data assimilation (DA) consists in combining observations and predictions of a numerical model to produce an optimal estimate of the evolving state of a system. Over the last decade, DA methods based on the Ensemble Kalman Filter (EnKF) have been particularly explored in various geoscience fields for inverse modelling. Although this type of ensemble methods can handle high-dimensional systems,...
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In: Journal of Business and Psychology, 2014, vol. 29, no. 4, p. 593-604
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In: Journal of Mathematical Cryptology, 2016, vol. 10, no. 1, p. 15-34
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In: Rock Mechanics and Rock Engineering, 2014, vol. 47, no. 3, p. 869-884
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In: Computational Geosciences, 2014, vol. 18, no. 6, p. 969-988
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In: Aquatic Sciences, 2014, vol. 76, p. 103-116
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In: Mathematical Geosciences, 2014, vol. 46, no. 2, p. 187-204
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In: Mathematical Geosciences, 2014, vol. 46, no. 2, p. 129-131
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In: Marine and Petroleum Geology, 2017, vol. 82, p. 318-335
Turbiditic channels evolve continuously in relation to erosion-deposition events. They are often gathered into complexes and display various stacking patterns. These patterns have a direct impact on the connectivity of sand-rich deposits. Being able to reproduce them in stochastic simulations is thus of significant importance. We propose a geometrical and descriptive approach to stochastically...
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In: Frontiers in Behavioral Neuroscience, 2018, vol. 12, p. -
Some animals are attracted by sun light, others are highly repulsed by it. Especially for slowly moving animals, such as Drosophila larvae, direct sunlight may be perceived as noxious stimulus as it increases the risk of desiccation, DNA-damaging by UV-light and exposure to predators. For several reasons, model organisms like Drosophila larvae are well-suited for investigating how light cues...
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