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Eulerian modelling of the three-dimensional distribution of seven popular microplastic types in the global ocean dataset
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This dataset supports an Eulerian modeling study of the three-dimensional global ocean distribution of seven common microplastic polymer types, including sensitivity experiments varying vertical mixing and buoyancy assumptions. The model provides spatially resolved estimates of microplastic concentrations from the surface to depth, informing global assessments of ocean plastic pollution.
Dataset for the paper "Eulerian modelling of the three-dimensional distribution of seven popular microplastic types in the global ocean" by A. S. Mountford and M. A. Morales Maqueda. ORCA2_5d_00010101_00011231_ptrc_T_con.nc - control experiment (year 50) ORCA2_5d_00010101_00011231_ptrc_T_30m.nc - 30 m year-1 piston velocity sensitivity experiment (year 50) ORCA2_5d_00010101_00011231_ptrc_T_90m.nc - 90 m year-1 piston velocity sensitivity experiment (year 50) ORCA2_5d_00010101_00011231_ptrc_T_50.nc - neutrally buoyant sensitivity simulation (year 50) plastic_1_ts.nc - positively buoyant time series plastic_2_ts.nc - neutrally buoyant time series plastic_3_ts.nc - negatively buoyant time series plastic_input_ORCA2.nc - plastic input data file ORCA2_5d_00010101_00011231_grid_U.nc & ORCA2_5d_00010101_00011231_grid_V.nc - ocean velocity files
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Eulerian modelling of the three-dimensional distribution of seven popular microplastic types in the global ocean dataset
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This dataset provides model outputs from a three-dimensional ocean circulation model simulating the global distribution of seven common microplastic types at different ocean depths. The data supports research into how different plastic densities and sizes determine where microplastics accumulate in the world's oceans.
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