| Title |
Spatial and temporal analysis of extreme sea level and storm surge events around the coastline of the UK
|
|---|---|
| Published in |
Scientific Data, December 2016
|
| DOI | 10.1038/sdata.2016.107 |
| Pubmed ID | |
| Authors |
Ivan D. Haigh, Matthew P. Wadey, Thomas Wahl, Ozgun Ozsoy, Robert J. Nicholls, Jennifer M. Brown, Kevin Horsburgh, Ben Gouldby |
| Abstract |
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. |
X Demographics
The data shown below were collected from the profiles of 33 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 12 | 36% |
| Ireland | 1 | 3% |
| Singapore | 1 | 3% |
| Chile | 1 | 3% |
| Australia | 1 | 3% |
| Poland | 1 | 3% |
| Unknown | 16 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 73% |
| Scientists | 9 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 186 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 21% |
| Researcher | 31 | 17% |
| Student > Master | 20 | 11% |
| Student > Bachelor | 15 | 8% |
| Other | 11 | 6% |
| Other | 24 | 13% |
| Unknown | 46 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 46 | 25% |
| Environmental Science | 38 | 20% |
| Engineering | 26 | 14% |
| Agricultural and Biological Sciences | 6 | 3% |
| Social Sciences | 4 | 2% |
| Other | 9 | 5% |
| Unknown | 57 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 64. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 June 2018.
All research outputs
#641,886
of 24,803,011 outputs
Outputs from Scientific Data
#249
of 3,074 outputs
Outputs of similar age
#13,554
of 430,590 outputs
Outputs of similar age from Scientific Data
#2
of 34 outputs
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