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 threedimensional 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.
| Original language | English |
|---|---|
| Pages (from-to) | 3571-3584 |
| Number of pages | 14 |
| Journal | Geoscientific Model Development |
| Volume | 12 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 19 Aug 2019 |
Funding
Acknowledgements. Philippe Delandmeter and Erik van Sebille are supported through funding from the European Research Council (ERC) under the European Union Horizon 2020 research and innovation programme (grant agreement no. 715386, TOPIOS). The North Sea microplastic simulations were carried out on the Dutch National e-Infrastructure with the support of SURF Cooperative (project no. 16371). This study has been conducted using EU Copernicus Marine Service Information. We thank Henk Dijkstra for the fruitful discussions, Andrew Coward for providing the ORCA0083-N006 and ORCA025-N006 simulation data and the IMMERSE project from the European Union Horizon 2020 research and innovation programme (grant agreement no. 821926).