OceananigansLagrangianFilter.jl: A set of tools to perform online or offline Lagrangian filtering of Oceananigans.jl simulations.

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Authors: Lois Elizabeth Baker
Cited by: 0

Abstract

OceananigansLagrangianFilter.jl filters simulation data generated by Oceananigans.jl simulations. The package provides methods for both offline (post-simulation) and online (in-simulation) filtering to remove motions that are high frequency in the Lagrangian frame. This is useful, for example, for removing waves from simulations when there is strong Doppler shifting, or when the wave displacement is large. OceananigansLagrangianFilter.jl solves sets of partial differential equations using Oceananigans solvers to find the filtered fields. It makes use of efficient sum-of-exponential filters (see Minz et al. 2025, Physical Review Fluids) to find the filtered variables at every time in the simulation, not just at one given reference time.

Fields of Study & Subjects

Oceanographic and Atmospheric Processes Fluid Dynamics and Turbulent Flows Model Reduction and Neural Networks

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 February 2026
Language
EN