Articles | Volume 15, issue 5
https://doi.org/10.5194/gmd-15-1995-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-1995-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
09 Mar 2022
Model description paper |
| 09 Mar 2022
| 09 Mar 2022
Empirical Lagrangian parametrization for wind-driven mixing of buoyant particles at the ocean surface
Victor Onink
CORRESPONDING AUTHOR
Climate and Environmental Physics, Physics Institute, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Institute for Marine and Atmospheric Research, Utrecht University, Utrecht, the Netherlands
Erik van Sebille
Institute for Marine and Atmospheric Research, Utrecht University, Utrecht, the Netherlands
Charlotte Laufkötter
Climate and Environmental Physics, Physics Institute, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
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Erik van Sebille, Celine Weel, Rens Vliegenthart, and Mark Bos
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Rebeca de la Fuente, Gábor Drótos, Emilio Hernández-García, Cristóbal López, and Erik van Sebille
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Short summary
Turbulent mixing is a vital process in 3D modeling of particle transport in the ocean. However, since turbulence occurs on very short spatial scales and timescales, large-scale ocean models generally have highly simplified turbulence representations. We have developed parametrizations for the vertical turbulent transport of buoyant particles that can be easily applied in a large-scale particle tracking model. The predicted vertical concentration profiles match microplastic observations well.
Turbulent mixing is a vital process in 3D modeling of particle transport in the ocean. However,...
