Matthew P. Wadey
National Oceanography Centre
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Featured researches published by Matthew P. Wadey.
Scientific Data | 2015
Ivan D. Haigh; Matthew P. Wadey; Shari L. Gallop; Heiko Loehr; Robert J. Nicholls; Kevin Horsburgh; Jennifer M. Brown; Elizabeth Bradshaw
Coastal flooding caused by extreme sea levels can be devastating, with long-lasting and diverse consequences. Historically, the UK has suffered major flooding events, and at present 2.5 million properties and £150 billion of assets are potentially exposed to coastal flooding. However, no formal system is in place to catalogue which storms and high sea level events progress to coastal flooding. Furthermore, information on the extent of flooding and associated damages is not systematically documented nationwide. Here we present a database and online tool called ‘SurgeWatch’, which provides a systematic UK-wide record of high sea level and coastal flood events over the last 100 years (1915-2014). Using records from the National Tide Gauge Network, with a dataset of exceedance probabilities and meteorological fields, SurgeWatch captures information of 96 storms during this period, the highest sea levels they produced, and the occurrence and severity of coastal flooding. The data are presented to be easily assessable and understandable to a range of users including, scientists, coastal engineers, managers and planners and concerned citizens.
Journal of Geophysical Research | 2014
Niall Quinn; Matt J. Lewis; Matthew P. Wadey; Ivan D. Haigh
The probability of extreme storm-tide events has been extensively studied; however, the variability within the duration of such events and implications to flood risk is less well understood. This research quantifies such variability during extreme storm-tide events (the combined elevation of the tide, surge, and their interactions) at 44 national tide gauges around the UK. Extreme storm-tide events were sampled from water level measurements taken every 15 min between 1993 and 2012. At each site, the variability in elevation at each time step, relative to a given event peak, was quantified. The magnitude of this time series variability was influenced both by gauge location (and hence the tidal and nontidal residual characteristics) and the time relative to high water. The potential influence of this variability on coastal inundation was assessed across all UK gauge sites, followed by a detailed case study of Portsmouth. A two-dimensional hydrodynamic model of the Portsmouth region was used to demonstrate that given a current 1 in 200 year storm-tide event, the predicted number of buildings inundated differed by more than 30% when contrasting simulations forced with the upper and lower bounds of the observed time series variability. The results indicate that variability in the time series of the storm-tide event can have considerable influence upon overflow volumes, hence with implications for coastal flood risk assessments. Therefore, further evaluating and representing this uncertainty in future flood risk assessments is vital, while the envelopes of variability defined in this research provides a valuable tool for coastal flood modelers.
Frontiers in Marine Science | 2015
Matthew P. Wadey; Ivan D. Haigh; Robert J. Nicholls; Jennifer M. Brown; Kevin Horsburgh; Ben Carroll; Shari L. Gallop; Travis Mason; Elizabeth Bradshaw
A North Sea storm surge during 31 January-1 February 1953 caused Northwest Europe’s most severe coastal flood in living memory. This event killed more than 2,000 people on the coasts of England, the Netherlands and Belgium. In the UK, where this study focuses, this event was a pivotal influence for flood risk management. Subsequent progress included a national tide gauge network, a storm surge forecasting and warning service, and major defence upgrade such as the Thames Barrier. Almost 60-years later, on 5-6 December 2013 Storm “Xaver” generated a surge event of similar magnitude. This paper describes a detailed comparison of these two events in the UK in terms of: (1) the meteorological conditions; (2) the observed high sea levels; and (3) the coastal flooding and impacts. The 1953 storm had a more southerly track and generated bigger waves due to the north-northwesterly onshore winds off East Anglia. The 2013 storm had a more west-to-east path from the north Atlantic to Scandinavia. Consequently, the 1953 high waters were more extreme in the southern North Sea. However, the 2013 event coincided with larger astronomical tides, resulting in a larger spatial ‘footprint’ (the length of coastline impacted by extreme high waters and floods). The extreme sea levels impacted communities on the west, east and south coasts, with 2,800 properties flooded during the 2013 event, compared to 24,000 properties mainly between the Humber and Thames in 1953. The 1953 floods remain a modern benchmark in the UK of potential flood consequences in terms of failed defences, damaged property and infrastructure and loss of life. Measures taken after 1953 greatly reduced the consequences of the 5-6 December 2013 storm. However, the latter event is a reminder of the potential for national-scale coastal storm events and impacts. Continued monitoring of extreme sea levels and their consequences is important to inform a realistic perspective on future planning and resilience.
Scientific Data | 2016
Ivan D. Haigh; Matthew P. Wadey; Thomas Wahl; Ozgun Ozsoy; Robert J. Nicholls; Jennifer M. Brown; Kevin Horsburgh; Ben Gouldby
In this paper we analyse the spatial footprint and temporal clustering of extreme sea level and skew surge events around the UK coast over the last 100 years (1915–2014). The vast majority of the extreme sea level events are generated by moderate, rather than extreme skew surges, combined with spring astronomical high tides. We distinguish four broad categories of spatial footprints of events and the distinct storm tracks that generated them. There have been rare events when extreme levels have occurred along two unconnected coastal regions during the same storm. The events that occur in closest succession (<4 days) typically impact different stretches of coastline. The spring/neap tidal cycle prevents successive extreme sea level events from happening within 4–8 days. Finally, the 2013/14 season was highly unusual in the context of the last 100 years from an extreme sea level perspective.
Scientific Data | 2017
Ivan D. Haigh; Ozgun Ozsoy; Matthew P. Wadey; Robert J. Nicholls; Shari L. Gallop; Thomas Wahl; Jennifer M. Brown
Coastal flooding caused by extreme sea levels can produce devastating and wide-ranging consequences. The ‘SurgeWatch’ v1.0 database systematically documents and assesses the consequences of historical coastal flood events around the UK. The original database was inevitably biased due to the inconsistent spatial and temporal coverage of sea-level observations utilised. Therefore, we present an improved version integrating a variety of ‘soft’ data such as journal papers, newspapers, weather reports, and social media. SurgeWatch2.0 identifies 329 coastal flooding events from 1915 to 2016, a more than fivefold increase compared to the 59 events in v1.0. Moreover, each flood event is now ranked using a multi-level categorisation based on inundation, transport disruption, costs, and fatalities: from 1 (Nuisance) to 6 (Disaster). For the 53 most severe events ranked Category 3 and above, an accompanying event description based upon the Source-Pathway-Receptor-Consequence framework was produced. Thus, SurgeWatch v2.0 provides the most comprehensive and coherent historical record of UK coastal flooding. It is designed to be a resource for research, planning, management and education.
Water | 2012
Matthew P. Wadey; Robert J. Nicholls; Craig W. Hutton
Ocean Science | 2014
Matthew P. Wadey; Ivan D. Haigh; Jennifer M. Brown
Natural Hazards | 2011
Amy C. Ruocco; Robert J. Nicholls; Ivan D. Haigh; Matthew P. Wadey
Natural Hazards and Earth System Sciences | 2015
Matthew P. Wadey; Jennifer M. Brown; Ivan D. Haigh; Tony Dolphin; Paul Wisse
Natural Hazards | 2013
Matthew P. Wadey; Robert J. Nicholls; Ivan D. Haigh