Dynamically Orthogonal Numerical Schemes for Efficient Stochastic Advection and Lagrangian Transport
Quantifying the uncertainty of Lagrangian motion can be performed by solving a large number of ordinary differential equations with random velocities or, equivalently, a stochastic transport partial differential equation (PDE) for the ensemble of flow-maps. The dynamically orthogonal (DO) decomposit...
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Society for Industrial and Applied Mathematics
2018
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| Online Access: | http://hdl.handle.net/1721.1/119800 https://orcid.org/0000-0003-0122-5220 https://orcid.org/0000-0002-1869-3883 |