Articles | Volume 22, issue 1
https://doi.org/10.5194/os-22-345-2026
© Author(s) 2026. 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-22-345-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Feb 2026
Research article |
| 02 Feb 2026
| 02 Feb 2026
Impact of waves on phytoplankton activity on the Northwest European Shelf: insights from observations and km-scale coupled models
Plymouth Marine Laboratory, Plymouth, PL1 2LP, UK
National Centre for Earth Observation, Leicester, LE4 5SP, UK
Ségolène Berthou
Met Office, Exeter, EX1 3PB, UK
Rebecca Millington
Plymouth Marine Laboratory, Plymouth, PL1 2LP, UK
James R. Clark
Plymouth Marine Laboratory, Plymouth, PL1 2LP, UK
Lucy Bricheno
National Oceanography Centre, Liverpool, L3 5DA, UK
Juan Manuel Castillo
Met Office, Exeter, EX1 3PB, UK
Julia Rulent
National Oceanography Centre, Liverpool, L3 5DA, UK
Huw Lewis
Met Office, Exeter, EX1 3PB, UK
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Jennifer Saxby, Julia Crook, Simon Peatman, Cathryn Birch, Juliane Schwendike, Maria Valdivieso da Costa, Juan Manuel Castillo Sanchez, Chris Holloway, Nicholas P. Klingaman, Ashis Mitra, and Huw Lewis
Weather Clim. Dynam. Discuss., https://doi.org/10.5194/wcd-2021-46, https://doi.org/10.5194/wcd-2021-46, 2021
Preprint withdrawn
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This study assesses the ability of the new Met Office IND1 numerical model to simulate tropical cyclones and their associated hazards, such as high winds and heavy rainfall. The new system consists of both atmospheric and oceanic models coupled together, allowing us to explore the sensitivity of cyclones to important air–sea feedbacks. We find that the model can accurately simulate tropical cyclone position, structure, and intensity, which are crucial for predicting and mitigating hazards.
Simon J. Dadson, Eleanor Blyth, Douglas Clark, Helen Davies, Richard Ellis, Huw Lewis, Toby Marthews, and Ponnambalan Rameshwaran
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-60, https://doi.org/10.5194/hess-2021-60, 2021
Manuscript not accepted for further review
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Flood prediction helps national and regional planning and real-time flood response. In this study we apply and test a new way to make wide area predictions of flooding which can be combined with weather forecasting and climate models to give faster predictions of flooded areas. By simplifying the detailed floodplain topography we can keep track of the fraction of land flooded for hazard mapping purposes. When tested this approach accurately reproduces benchmark datasets for England.
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Short summary
Phytoplankton blooms are governed by the availability of light and nutrients, both of which are affected by mixing in the upper layers of the ocean, which is impacted by wave activity on the surface. Most numerical ocean models estimate waves through a parameterisation, here we explicitly resolve waves through a coupled wave model to examine the impact on the strength and timing of phytoplankton blooms, particular during storms when wave activity is elevated.
Phytoplankton blooms are governed by the availability of light and nutrients, both of which are...
