Articles | Volume 21, issue 12
https://doi.org/10.5194/nhess-21-3693-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-3693-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Towards using state-of-the-art climate models to help constrain estimates of unprecedented UK storm surges
Met Office, FitzRoy Road, Exeter EX1 3PB, UK
Simon David Paul Williams
National Oceanography Centre, Joseph Proudman Building, 6 Brownlow Street, Liverpool L3 5DA, UK
Related authors
Tom Howard
Ocean Sci., 18, 905–913, https://doi.org/10.5194/os-18-905-2022, https://doi.org/10.5194/os-18-905-2022, 2022
Short summary
Short summary
I show that two different statistical approaches to dealing with rare sea-level extremes caused by storm surges are not incompatible, despite their apparent differences.
I suggest a context in which each approach is appropriate.
I undertook this research because the two approaches might seem to be incompatible, a situation which I hope that this note helps to clarify.
I applied various statistical tests which have appeared in recent literature to sea-level extremes from UK coastal sites.
Alex T. Archibald, Bablu Sinha, Maria R. Russo, Emily Matthews, Freya A. Squires, N. Luke Abraham, Stephane J.-B. Bauguitte, Thomas J. Bannan, Thomas G. Bell, David Berry, Lucy J. Carpenter, Hugh Coe, Andrew Coward, Peter Edwards, Daniel Feltham, Dwayne Heard, Jim Hopkins, James Keeble, Elizabeth C. Kent, Brian A. King, Isobel R. Lawrence, James Lee, Claire R. Macintosh, Alex Megann, Bengamin I. Moat, Katie Read, Chris Reed, Malcolm J. Roberts, Reinhard Schiemann, David Schroeder, Timothy J. Smyth, Loren Temple, Navaneeth Thamban, Lisa Whalley, Simon Williams, Huihui Wu, and Mingxi Yang
Earth Syst. Sci. Data, 17, 135–164, https://doi.org/10.5194/essd-17-135-2025, https://doi.org/10.5194/essd-17-135-2025, 2025
Short summary
Short summary
Here, we present an overview of the data generated as part of the North Atlantic Climate System Integrated Study (ACSIS) programme that are available through dedicated repositories at the Centre for Environmental Data Analysis (CEDA; www.ceda.ac.uk) and the British Oceanographic Data Centre (BODC; bodc.ac.uk). The datasets described here cover the North Atlantic Ocean, the atmosphere above (it including its composition), and Arctic sea ice.
Tom Howard
Ocean Sci., 18, 905–913, https://doi.org/10.5194/os-18-905-2022, https://doi.org/10.5194/os-18-905-2022, 2022
Short summary
Short summary
I show that two different statistical approaches to dealing with rare sea-level extremes caused by storm surges are not incompatible, despite their apparent differences.
I suggest a context in which each approach is appropriate.
I undertook this research because the two approaches might seem to be incompatible, a situation which I hope that this note helps to clarify.
I applied various statistical tests which have appeared in recent literature to sea-level extremes from UK coastal sites.
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Short summary
We use a computer model to simulate storm surges around the coast of the United Kingdom. The model is based on the physics of the atmosphere and oceans. We hope that this will help us to better quantify extreme events: even bigger than those that have been seen in the tide gauge record. Our model simulates events which are comparable to the catastrophic 1953 storm surge. Model simulations have the potential to reduce the uncertainty in inferences of the most extreme surge return levels.
We use a computer model to simulate storm surges around the coast of the United Kingdom. The...
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