Articles | Volume 16, issue 6
https://doi.org/10.5194/os-16-1491-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-16-1491-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model uncertainties of a storm and their influence on microplastics and sediment transport in the Baltic Sea
Robert Daniel Osinski
Leibniz Institute for Baltic Sea Research Warnemünde, Seestrasse 15, 18119 Rostock, Germany
Kristina Enders
Leibniz Institute for Baltic Sea Research Warnemünde, Seestrasse 15, 18119 Rostock, Germany
Ulf Gräwe
Leibniz Institute for Baltic Sea Research Warnemünde, Seestrasse 15, 18119 Rostock, Germany
Knut Klingbeil
Leibniz Institute for Baltic Sea Research Warnemünde, Seestrasse 15, 18119 Rostock, Germany
Hagen Radtke
CORRESPONDING AUTHOR
Leibniz Institute for Baltic Sea Research Warnemünde, Seestrasse 15, 18119 Rostock, Germany
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Cited
15 citations as recorded by crossref.
- Transport of Microplastics From the Daugava Estuary to the Open Sea V. Frishfelds et al. 10.3389/fmars.2022.886775
- Modeling drift and fate of microplastics in the Baltic Sea J. Murawski et al. 10.3389/fmars.2022.886295
- Riverine microplastics derived from mulch film in Hainan Island: Occurrence, source and fate M. Jiao et al. 10.1016/j.envpol.2022.120093
- Microplastic transport from a wastewater treatment plant into Qiantang River, an estuarine river Y. Zhang et al. 10.1007/s00343-024-3214-x
- Application of the high-resolution wave model for forecasting 1D sediment transport and beach inundation as a component of a short-term storm warning system P. Sapiega & T. Zalewska 10.1016/j.envsoft.2024.106089
- Identification and quantification of microplastic particles in drinking water treatment sludge as an integrative approach to determine microplastic abundance in a freshwater river H. Siegel et al. 10.1016/j.envpol.2021.117524
- An ASBPA White Paper: Human and ecosystem health in coastal systems 10.34237/1009018
- Microplastics in Combined Sewer Overflows: An Experimental Study F. Di Nunno et al. 10.3390/jmse9121415
- Spatial and temporal variability of microplastic abundance in estuarine intertidal sediments: Implications for sampling frequency R. Leads et al. 10.1016/j.scitotenv.2022.160308
- A Public Database for Microplastics in the Environment N. Čerkasova et al. 10.3390/microplastics2010010
- Microplastic in the Baltic Sea: A review of distribution processes, sources, analysis methods and regulatory policies I. Narloch et al. 10.1016/j.envpol.2022.120453
- Microplastics transport in a low-inflow estuary at the entrance of the Gulf of California J. Cardoso-Mohedano et al. 10.1016/j.scitotenv.2023.161825
- Urban Microplastics Emissions: Effectiveness of Retention Measures and Consequences for the Baltic Sea G. Schernewski et al. 10.3389/fmars.2021.594415
- Transport and Behavior of Microplastics Emissions From Urban Sources in the Baltic Sea G. Schernewski et al. 10.3389/fenvs.2020.579361
- Emission, Transport, and Deposition of visible Plastics in an Estuary and the Baltic Sea—a Monitoring and Modeling Approach G. Schernewski et al. 10.1007/s00267-021-01534-2
12 citations as recorded by crossref.
- Transport of Microplastics From the Daugava Estuary to the Open Sea V. Frishfelds et al. 10.3389/fmars.2022.886775
- Modeling drift and fate of microplastics in the Baltic Sea J. Murawski et al. 10.3389/fmars.2022.886295
- Riverine microplastics derived from mulch film in Hainan Island: Occurrence, source and fate M. Jiao et al. 10.1016/j.envpol.2022.120093
- Microplastic transport from a wastewater treatment plant into Qiantang River, an estuarine river Y. Zhang et al. 10.1007/s00343-024-3214-x
- Application of the high-resolution wave model for forecasting 1D sediment transport and beach inundation as a component of a short-term storm warning system P. Sapiega & T. Zalewska 10.1016/j.envsoft.2024.106089
- Identification and quantification of microplastic particles in drinking water treatment sludge as an integrative approach to determine microplastic abundance in a freshwater river H. Siegel et al. 10.1016/j.envpol.2021.117524
- An ASBPA White Paper: Human and ecosystem health in coastal systems 10.34237/1009018
- Microplastics in Combined Sewer Overflows: An Experimental Study F. Di Nunno et al. 10.3390/jmse9121415
- Spatial and temporal variability of microplastic abundance in estuarine intertidal sediments: Implications for sampling frequency R. Leads et al. 10.1016/j.scitotenv.2022.160308
- A Public Database for Microplastics in the Environment N. Čerkasova et al. 10.3390/microplastics2010010
- Microplastic in the Baltic Sea: A review of distribution processes, sources, analysis methods and regulatory policies I. Narloch et al. 10.1016/j.envpol.2022.120453
- Microplastics transport in a low-inflow estuary at the entrance of the Gulf of California J. Cardoso-Mohedano et al. 10.1016/j.scitotenv.2023.161825
3 citations as recorded by crossref.
- Urban Microplastics Emissions: Effectiveness of Retention Measures and Consequences for the Baltic Sea G. Schernewski et al. 10.3389/fmars.2021.594415
- Transport and Behavior of Microplastics Emissions From Urban Sources in the Baltic Sea G. Schernewski et al. 10.3389/fenvs.2020.579361
- Emission, Transport, and Deposition of visible Plastics in an Estuary and the Baltic Sea—a Monitoring and Modeling Approach G. Schernewski et al. 10.1007/s00267-021-01534-2
Latest update: 17 Jul 2024
Short summary
This study investigates the impact of the uncertainty in atmospheric data of a storm event on the transport of microplastics and sediments. The model chain includes the WRF atmospheric model, the WAVEWATCH III® wave model, and the GETM regional ocean model as well as a sediment transport model based on the FABM framework. An ensemble approach based on stochastic perturbations of the WRF model is used. We found a strong impact of atmospheric uncertainty on the amount of transported material.
This study investigates the impact of the uncertainty in atmospheric data of a storm event on...