Articles | Volume 17, issue 6
https://doi.org/10.5194/gmd-17-2221-2024
https://doi.org/10.5194/gmd-17-2221-2024
Model description paper
 | 
19 Mar 2024
Model description paper |  | 19 Mar 2024

LOCATE v1.0: numerical modelling of floating marine debris dispersion in coastal regions using Parcels v2.4.2

Ivan Hernandez, Leidy M. Castro-Rosero, Manuel Espino, and Jose M. Alsina Torrent

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Cited articles

Allard, R., Rogers, E., and Carroll, S. N.: User's Manual for the Simulating WAves Nearshore Model (SWAN), https://doi.org/10.21236/ADA409177, 2002. a
Alsina, J. M., Jongedijk, C. E., and van Sebille, E.: Laboratory Measurements of the Wave-Induced Motion of Plastic Particles: Influence of Wave Period, Plastic Size and Plastic Density, J. Geophys. Res.-Oceans, 125, e2020JC016294, https://doi.org/10.1029/2020JC016294, 2020. a
Alvarez Fanjul, E., García Sotillo, M., Pérez Gómez, B., García Valdecasas, J., Pérez Rubio, S., Lorente, P., Rodríguez Dapena, Á., Martínez Marco, I., Luna, Y., Padorno, E., Santos Atienza, I., Díaz Hernandez, G., López Lara, J., Medina, R., Grifoll, M., Espino, M., Mestres, M., Cerralbo, P., and Sánchez Arcilla, A.: Operational Oceanography at the Service of the Ports, in: New Frontiers in Operational Oceanography, GODAE OceanView, https://doi.org/10.17125/gov2018.ch27, 2018. a
Bezerra, M. O., Diez, M., Medeiros, C., Rodriguez, A., Bahia, E., Sanchez-Arcilla, A., and Redondo, J. M.: Study on the influence of waves on coastal diffusion using image analysis, Appl. Sci. Res., 59, 191–204, https://doi.org/10.1023/a:1001131304881, 1997. a
Bosi, S., Broström, G., and Roquet, F.: The Role of Stokes Drift in the Dispersal of North Atlantic Surface Marine Debris, Front. Mar. Sci., 8, 697430, https://doi.org/10.3389/fmars.2021.697430, 2021. a
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Short summary
The LOCATE numerical model was developed to conduct Lagrangian simulations of the transport and dispersion of marine debris at coastal scales. High-resolution hydrodynamic data and a beaching module that used particle distance to the shore for land–water boundary detection were used on a realistic debris discharge scenario comparing hydrodynamic data at various resolutions. Coastal processes and complex geometric structures were resolved when using nested grids and distance-to-shore beaching.
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