Geoscientific model development · 2019 · 369 citations · 44 references
Natural SciencesEarth SciencesOceanographyComputational Fluid DynamicsFluid DynamicsOcean ModelingBiogeochemical Ocean ModelingMarine HydrodynamicsNumerical Ocean SimulationCoupled Physical-biogeochemical ModelsEulerian-lagrangian CouplingFlexibilityGridsInterpolation SchemesLagrangian Flow AnalysisNumerical Simulation Of Surface WatersOcean Biogeochemical Parameterization
Abstract. With the increasing number of data produced by numerical ocean models, so increases the need for efficient tools to analyse these data. One of these tools is Lagrangian ocean analysis, where a set of virtual particles is released and their dynamics are integrated in time based on fields defining the ocean state, including the hydrodynamics and biogeochemistry if available. This popular methodology needs to adapt to the large variety of models producing these fields at different formats. This is precisely the aim of Parcels, a Lagrangian ocean analysis framework designed to combine (1) a wide flexibility to model particles of different natures and (2) an efficient implementation in accordance with modern computing infrastructure. In the new Parcels v2.0, we implement a set of interpolation schemes to read various types of discretized fields, from rectilinear to curvilinear grids in the horizontal direction, from z to s levels in the vertical direction and using grid staggering with the Arakawa A, B and C grids. In particular, we develop a new interpolation scheme for a three-dimensional curvilinear C grid and analyse its properties. Parcels v2.0 capabilities, including a suite of meta-field objects, are then illustrated in a brief study of the distribution of floating microplastic in the northwest European continental shelf and its sensitivity to various physical processes.
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