Towards using state-of-the-art climate models to help constrain estimates of unprecedented UK storm surges

Howard, Tom; Williams, Simon David Paul

doi:https://doi.org/10.5194/nhess-21-3693-2021

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.

https://doi.org/10.5194/nhess-21-3693-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 12

Research article

|

08 Dec 2021

Research article |

| 08 Dec 2021

Towards using state-of-the-art climate models to help constrain estimates of unprecedented UK storm surges

Tom Howard and Simon David Paul Williams

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Total article views: 2,891 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
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HTML: 2,010
PDF: 800
XML: 81
Total: 2,891
BibTeX: 70
EndNote: 59

Views and downloads (calculated since 14 Jul 2021)

Month	HTML	PDF	XML	Total
Jul 2021	165	24	3	192
Aug 2021	136	49	8	193
Sep 2021	121	70	11	202
Oct 2021	88	45	0	133
Nov 2021	81	41	2	124
Dec 2021	327	87	5	419
Jan 2022	89	31	3	123
Feb 2022	63	17	2	82
Mar 2022	29	19	0	48
Apr 2022	33	23	2	58
May 2022	29	13	1	43
Jun 2022	23	7	0	30
Jul 2022	25	3	0	28
Aug 2022	30	15	0	45
Sep 2022	19	6	1	26
Oct 2022	44	11	3	58
Nov 2022	50	17	0	67
Dec 2022	45	16	0	61
Jan 2023	39	24	0	63
Feb 2023	28	9	1	38
Mar 2023	45	13	0	58
Apr 2023	43	12	2	57
May 2023	40	6	3	49
Jun 2023	28	19	0	47
Jul 2023	37	21	2	60
Aug 2023	22	24	2	48
Sep 2023	11	13	0	24
Oct 2023	20	12	0	32
Nov 2023	11	6	0	17
Dec 2023	17	9	2	28
Jan 2024	21	9	0	30
Feb 2024	25	11	1	37
Mar 2024	19	33	0	52
Apr 2024	35	10	4	49
May 2024	37	8	8	53
Jun 2024	28	9	3	40
Jul 2024	28	9	3	40
Aug 2024	24	22	2	48
Sep 2024	18	7	2	27
Oct 2024	27	17	3	47
Nov 2024	10	3	2	15

Cumulative views and downloads (calculated since 14 Jul 2021)

Month	HTML	PDF	XML	Total
Jul 2021	165	24	3	192
Aug 2021	136	49	8	193
Sep 2021	121	70	11	202
Oct 2021	88	45	0	133
Nov 2021	81	41	2	124
Dec 2021	327	87	5	419
Jan 2022	89	31	3	123
Feb 2022	63	17	2	82
Mar 2022	29	19	0	48
Apr 2022	33	23	2	58
May 2022	29	13	1	43
Jun 2022	23	7	0	30
Jul 2022	25	3	0	28
Aug 2022	30	15	0	45
Sep 2022	19	6	1	26
Oct 2022	44	11	3	58
Nov 2022	50	17	0	67
Dec 2022	45	16	0	61
Jan 2023	39	24	0	63
Feb 2023	28	9	1	38
Mar 2023	45	13	0	58
Apr 2023	43	12	2	57
May 2023	40	6	3	49
Jun 2023	28	19	0	47
Jul 2023	37	21	2	60
Aug 2023	22	24	2	48
Sep 2023	11	13	0	24
Oct 2023	20	12	0	32
Nov 2023	11	6	0	17
Dec 2023	17	9	2	28
Jan 2024	21	9	0	30
Feb 2024	25	11	1	37
Mar 2024	19	33	0	52
Apr 2024	35	10	4	49
May 2024	37	8	8	53
Jun 2024	28	9	3	40
Jul 2024	28	9	3	40
Aug 2024	24	22	2	48
Sep 2024	18	7	2	27
Oct 2024	27	17	3	47
Nov 2024	10	3	2	15

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Total article views: 2,891 (including HTML, PDF, and XML) Thereof 2,702 with geography defined and 189 with unknown origin.

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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.