Articles | Volume 23, issue 7
https://doi.org/10.5194/nhess-23-2531-2023
© Author(s) 2023. 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-23-2531-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Jul 2023
Research article |
| 17 Jul 2023
| 17 Jul 2023
Meteotsunami in the United Kingdom: the hidden hazard
Clare Lewis
CORRESPONDING AUTHOR
Department of Geography and Environmental Science, University of
Reading, Reading, RG6 6AB, UK
Plymouth Marine Laboratory, Prospect Place, Plymouth, Devon, PL1
3DH, UK
Tim Smyth
Plymouth Marine Laboratory, Prospect Place, Plymouth, Devon, PL1
3DH, UK
David Williams
WTW, 51 Lime Street, London, EC3M 7DQ, UK
Jess Neumann
Department of Geography and Environmental Science, University of
Reading, Reading, RG6 6AB, UK
Hannah Cloke
Department of Geography and Environmental Science, University of
Reading, Reading, RG6 6AB, UK
Department of Meteorology, University of Reading, Reading, RG6 6BB, UK
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Cited articles
Bechle, A. J., Wu, C. H., Kristovich, D. A. R., Anderson, E. J., Schwab, D. J., and Rabinovich, A. B.: Meteotsunamis in the Laurentian Great Lakes, Sci.
Rep.-UK, 6, 37832, https://doi.org/10.1038/srep37832, 2016.
Borlase, W.: The natural history of Cornwall, Oxford, 53–54, https://archive.org/details/naturalhistoryc00borl (last acces: 12 July 2023), 1758.
British Oceanographic Data Centre: https://www.bodc.ac.uk/, last access: 19 February 2022.
Burt, S.: Multiple airwaves crossing Britain and Ireland following the eruption of Hunga Tongaa.fiHunga Ha'apai on 15 January 2022. Volcanic airwaves crossing Britain and Ireland, January 2022, Weather, 77,
76–81, https://doi.org/10.1002/wea.4182, 2022.
CEDA Archive: 5 km Resolution UK Composite Rainfall Data from the Met Office Nimrod System, Dataset [data set], https://catalogue.ceda.ac.uk/uuid/f91b2c5399c5bf689e29bb15ab45da8a (last access: 13 July 2023), 2018.
D.J. Harris:
Starlings Roost Weather, July 12th 2023 0400Z to July 13th 2023 0400Z,
http://starlingsroost.ddns.net/weather/ukobs/ukgraphs.php (last access: 12 July 2023), 2018.
Dawson, A. G., Musson, R. M. W., Foster, I. D. L., and Brunsden, D.: Abnormal
historic sea-surface fluctuations, SW England, Mar. Geol., 170, 59–68, https://doi.org/10.1016/S0025-3227(00)00065-7, 2020.
Dusek, G., DiVeglio, C., Licate, L., Heilman, L., Kirk, K., Paternostro, C., and Miller, A.: A meteotsunami climatology along the U.S. East Coast,
B. Am. Meteorol. Soc., 100, 1329–1345, https://doi.org/10.1175/BAMS-D-18-0206.1, 2019.
Edmonds, R.: On extraordinary agitations of the sea not produced by winds or
tides, Transactions of the Devonshire Association, 3, 144–152,
https://devonassoc.org.uk/publications/transactions/contents/ (last access: 8 July 2023), 1869.
Goring, D.: Meteotsunami resulting from the propagation of synoptic-scale
weather systems, Phys. Chem. Earth, Parts A/B/C, 34, 1009–1015, https://doi.org/10.1016/j.pce.2009.10.004, 2009.
Haigh, I., Wadey, M., Wahl, T.: Spatial and temporal analysis of extreme sea
level and storm surge events around the coastline of the UK, Scientific Data, 3, 160107, https://doi.org/10.1038/sdata.2016.107, 2016.
Haslett, S. K. and Bryant, E. A.: Historic tsunami in Britain since AD 1000: a review, Nat. Hazards Earth Syst. Sci., 8, 587–601, https://doi.org/10.5194/nhess-8-587-2008, 2008.
Haslett, S. K. and Bryant, E. A.: Meteorological Tsunamis in Southern Britain: An Historical Review, Geogr. Rev., 99, 146–163, https://doi.org/10.1111/j.1931-0846.2009.tb00424.x, 2009.
Haslett, S. K., Mellor, H. E., and Bryant, E. A.: Meteo-tsunami hazard
associated with summer thunderstorms in the United Kingdom, Phys. Chem. Earth, Parts A/B/C, 34, 1016–1022, https://doi.org/10.1016/j.pce.2009.10.005 2009.
Holley, D. M., Dorling, S. R., Steele, C. J., and Earl, N.: A climatology of
convective available potential energy in Great Britain, Int. J. Climatol., 34, 3811–3824, https://doi.org/10.1002/joc.3976, 2014.
Kim, M.-S., Woo, S.-B., Eom, H., and You, S. H.: Occurrence of pressure-forced meteotsunami events in the eastern Yellow Sea during 2010–2019, Nat. Hazards Earth Syst. Sci., 21, 3323–3337, https://doi.org/10.5194/nhess-21-3323-2021 2021.
Lazarus, E., Aldabet, S., Thompson, C., Hill, C., Nicholls, R., French, J.,
Brown, S., Tompkins, E., Haigh, I., Townend, I., and Penning-Rowsell, E.: The
UK needs an open data portal dedicated to coastal flood and erosion hazard
risk and resilience, Anthropocene Coasts, 4, 137–146,
https://doi.org/10.1139/anc-2020-0023, 2021.
lightningmaps.org: Lightning maps [data set],
https://www.lightningmaps.org/#m=oss;t=2;s=0;o=0;b=;y=50.7086;x=-1.0547;z=4,
last access: 1 March 2023.
Linares, Á., Wu, C. H., Bechle, A. J, Anderson, E. J., and Kristovich,
D. A. R.: Unexpected rip currents induced by a meteotsunami, Sci. Rep.-UK, 9, 2105, https://doi.org/10.1038/s41598-019-38716-2, 2019.
Long, D.: A catalogue of tsunamis reported in the UK, British Geological
Association, Internal Report IR/15/043, 63 pp.,
https://nora.nerc.ac.uk/id/eprint/513298/1/IR_15_043 BGS Tsunami catalogue update.pdf (last access: 8 July 2023), 2015.
Long, D.: Comment on: Thompson et al 2020. UK meteotsunamis: a revision and
update on events and their frequency, Weather, 76, 137–139,
https://doi.org/10.1002/wea.3934, 2021.
Lynett, P. J., Borrero, J., Son, S., Wilson, R., and Miller, K.: Assessment of the tsunami induced current hazard, Geophys. Res. Lett., 41, 2048–2055,
https://doi.org/10.1002/2013GL058680, 2014.
Masselink, G., Scott, T., Poate, T., Russell, P., Davidson, M., and Conley,
D.: The extreme 2013/2014 winter storms: hydrodynamic forcing and coastal
response along the southwest coast of England, Earth Surf. Proc. Land., 41, 378–391, https://doi.org/10.1002/esp.3836, 2015.
MET Office: 5 km Resolution UK Composite Rainfall Data from the Met Office
Nimrod System, NCAS British Atmospheric Data Centre [data set],
https://catalogue.ceda.ac.uk/uuid/f91b2c5399c5bf689e29bb15ab45da8a (last access: 8 July 2023), 2003.
Monserrat, S., Vilibić, I., and Rabinovich, A. B.: Meteotsunamis: atmospherically induced destructive ocean waves in the tsunami frequency band, Nat. Hazards Earth Syst. Sci., 6, 1035–1051, https://doi.org/10.5194/nhess-6-1035-2006, 2006.
National Oceanography Centre: Search the data, British Oceanongraphic data Centre [data set], https://www.bodc.ac.uk/data/, 2023.
National Tidal and Sea Level Facility (NTSLF): https://ntslf.org/, last access: 19 February 2022.
Pattiaratchi, C. B. and Wijeratne, E. M. S.: Are meteotsunamis an underrated
hazard? Philosophical Transactions of the Royal Society: Mathematical and
Engineering Sciences 373, 20140377, https://doi.org/10.1098/rsta.2014.0377, 2015.
Pellikka, H., Laurila, T. K., Boman, H., Karjalainen, A., Björkqvist, J.-V., and Kahma, K. K.: Meteotsunami occurrence in the Gulf of Finland over the past century, Nat. Hazards Earth Syst. Sci., 20, 2535–2546, https://doi.org/10.5194/nhess-20-2535-2020 2020.
Penn State: Predictability limit: Scientists find bounds of weather
forecasting, ScienceDaily,
https://sciencedaily.com/releases/2019/04/190415154722.htm (last access: 20 August 2022), 2019.
Phenomena.org.uk: A Chronology of Remarkable Natural Phenomena Eighteenth Century 1761–1770 [data set], http://www.phenomena.org.uk/page29/page38/page38.html (last access: 12 July 2023), 2023.
Proudman, F. R. S.: The Effects on the Sea of Changes in Atmospheric Pressure, Geophysical Supplements to the Monthly Notices of the Royal Astronomical
Society, 2, 197–209,
https://doi.org/10.1111/j.1365-246X.1929.tb05408.x 1929.
Reigate Grammar School Weather Station: The birth and impact of the St Jude day storm: October 2013,
https://rgsweather.wordpress.com/2013/10/29/st-jude-causes-and-impacts-of-the-october-storm-27-28-2013/, last access: 19 February 2022.
Sea Level Monitoring Facility: https://ioc-sealevelmonitoring.org/, last access: 1 March 2023.
Šepić, J., Vilibić, I., and Strelec Mahović, N.: Northern Adriatic
meteorological tsunamis: observations, link to the atmosphere, and
predictability, J. Geophys. Res., 117, C02002, https://doi.org/10.1029/2011JC007608, 2012.
Šepić, J., Vilibić, I., Rabinovich, A., and Monserrat, S.: Widespread
tsunami-like waves of 23–27 June in the Mediterranean and Black Seas
generated by high-altitude atmospheric forcing, Sci. Rep.-UK, 5, 11682, https://doi.org/10.1038/srep11682, 2015.
Šepić, J., Vilibić, I., Rabinovich, A., and Tinti, S.: Meteotsunami
(“Marrobbio”) of 25–26 June 2014 on the Southwestern Coast of Sicily,
Italy, Pure Appl. Geophys., 175, 1573–1593, https://doi.org/10.1007/s00024-018-1827-8, 2018.
Sibley, A.: Thunderstorms from a Spanish Plume event on 28 June 2011,
Weather, 67, 143–152, https://doi.org/10.1002/wea.1928, 2012.
Sibley, A., Cox, D., Long, D., Tappin, D. R., and Horsburgh, K. J.:
Meteorologically generated tsunami-like waves in the North Sea on 1/2 July
2015 and 28 May 2008, Weather, 71, 68–74, https://doi.org/10.1002/wea.2696, 2016.
Starlings roost weather: http://starlingsroost.ddns.net/weather/stats.php?type=day&field=&date=2023-03-05,
last access: 1 March 2023.
Stevenson, C. M.: The dust fall and severe storms of 1 July 1968, Weather,
66, 125–127, https://doi.org/10.1002/wea.780, 2011.
surgewatch.org: Surge Watch database: A database of UK coastal flood events,
SurgeWatch [data set], https://www.surgewatch.org/, last access: 19 February 2022.
Tappin, D. R., Sibley, A., Horsburgh, K. J., Daubord, C., Cox, D., and Long,
D.: The English Channel `tsunami' of 27 June 2011 – a probable
meteorological source, Weather, 68, 144–152, https://doi.org/10.1002/wea.2061, 2013.
Thompson, J., Renzi, E., Sibley, A., and Tappin, D.: UK meteotsunamis: a
revision and update on events and their frequency, Weather, 75, 281–287,
https://doi.org/10.1002/wea.3741, 2020.
UNESCO: Sea level monitoring Facility, Status at 2023-07-13 05:45 GMT: 1188 stations listed ordered by code [data set], https://www.ioc-sealevelmonitoring.org/list.php (last access: last access: 12 July 2023), 2023.
University of Liverpool: National Tidal and Sea Level Facility, Real-time data – UK National Tide Gauge Network [data set], https://ntslf.org/data/uk-network-real-time (last access: last access: 12 July 2023), 2023.
University of Wyoming: [data set], http://weather.uwyo.edu/upperair/sounding.html, last access: 19 February 2022.
Ventusky: Ventusky weather [data set],
https://www.ventusky.com/?p=54.4;-5.9;4&l=radar&t=20230313/1100&w=off,
last access: 1 March 2023.
Vilibić, I. and Šepić, J.: Global mapping of non-seismic sea level oscillations at tsunami timescales, Scientific Rep.-UK, 7, 40818,
https://doi.org/10.1038/srep40818, 2017.
Vilibić, I., Šepić, J., Dunić, N., Sevault, F., Monserrat, S., and Jordà, G.: Proxy-based assessment of strength and frequency of meteotsunamis in future climate, Geophys. Res. Lett., 45, 10501–10508, https://doi.org/10.1029/2018GL079566, 2018.
Williams, D. A., Horsburgh, K. J., Schultz, D. M., and Hughes, C. W.: Examination of generation mechanisms for an English Channel Meteotsunami: Combining observations and modelling, J. Phys. Oceanogr., 49, 103–120, https://doi.org/10.1175/JPO-D-18-0161.1, 2019.
Williams, D. A., Schultz, D. M., Horsburgh, K. J., and Hughes, C. W.: An
8-yr meteotsunami climatology across northwest Europe: 2010–2017, J. Phys. Oceanogr., 1145–1160, https://doi.org/10.1175/JPO-D-20-0175.1, 2021.
Short summary
Meteotsunami are globally occurring water waves initiated by atmospheric disturbances. Previous research has suggested that in the UK, meteotsunami are a rare phenomenon and tend to occur in the summer months. This article presents a revised and updated catalogue of 98 meteotsunami that occurred between 1750 and 2022. Results also demonstrate a larger percentage of winter events and a geographical pattern highlighting the
hotspotregions that experience these events.
Meteotsunami are globally occurring water waves initiated by atmospheric disturbances. Previous...
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