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

Authors: Baker, Lois;

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

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.

Keywords

julia, oceanography, filtering, lagrangian

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average