Here is a video of a recent seminar I gave at Bangor University:
https://bangor.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=818fceb8-6f75-40c5-8538-a604e888ebb6
University of Southampton, National Oceanography Centre Southampton
Here is a video of a recent seminar I gave at Bangor University:
https://bangor.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=818fceb8-6f75-40c5-8538-a604e888ebb6
We have just had a new paper (Assessing the variability in extreme high water levels for coastal flood risk assessment) published in the Journal of Geophysical Research-Oceans – see here.
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 minutes 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 non-tidal 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 modellers.
While there has been significant progress in describing and understanding global-mean sea-level rise, the regional departures from this global-mean rise are more poorly described and understood. In this new paper, which you can view here, we present a comprehensive analysis of Australian sea-level data from the 1880s to the present, including an assessment of satellite-altimeter data since 1993.
We find that After the influence of El Niño Southern Oscillation is removed and allowing for the impact of Glacial Isostatic Adjustment and atmospheric pressure effects, Australian mean sea-level trends are close to global-mean trends from 1966 to 2010, including an increase in the rate of rise in the early 1990s. Given that past changes in Australian sea level are similar to global-mean changes over the last 45 years, it is likely that future changes over the 21st century will be consistent with global changes.
Animation of storm surge of Super Typhoon Haiyan making landfall:
The model predicts maximum surge levels exceeding 5 metres near Tacloban City. The peak surge occurs some time after the cyclone has made landfall. At this point, the winds near Tacloban City change direction from easterly to southeasterly, and the cyclone starts pushing water into San Pedro and San Pablo Bay (i.e. the northwesterly part of Leyte Gulf).
Scientists develop new method to help global coasts adapt to sea-level rise. This work was done by Prof. Robert Nicholls with whom I co-direct the engineering in the coastal environment MSc.
Flood barriers protecting Venice from storm surges have been tested for the first time: