Blar i Faculty of Mathematics and Natural Sciences på tidsskrift "Nonlinear processes in geophysics"
Viser treff 1-3 av 3
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Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models
(Peer reviewed; Journal article, 2019)Recent progress in machine learning has shown how to forecast and, to some extent, learn the dynamics of a model from its output, resorting in particular to neural networks and deep learning techniques. We will show how ... -
Data assimilation using adaptive, non-conservative, moving mesh models
(Peer reviewed; Journal article, 2019)Numerical models solved on adaptive moving meshes have become increasingly prevalent in recent years. Motivating problems include the study of fluids in a Lagrangian frame and the presence of highly localized structures ... -
Derivation of Boussinesq's shoaling law using a coupled BBM system
(Peer reviewed; Journal article, 2013-03-14)This paper is focused on finding rules for waveheight change in a solitary wave as it runs up a slowly increasing bottom. A coupled BBM system is used to describe the solitary waves. Expressions for energy density and ...