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Estimating future sea level extremes under conditions of sea level rise
Coastal Engineering, 1990Abstract Standard techniques of extreme event analysis involve making the assumption that future annual maxima can be approximated as independent random variables from a common distribution. This approach is not applicable to the investigation of future extreme sea levels, given the possibility of greenhouse-related sea level rise.
W.E. Bardsley +2 more
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Spatial modelling of extreme sea‐levels
Environmetrics, 1998The problem of estimating the probability of extreme sea-levels along a coastline has received little attention. Most of the existing analyses are univariate approaches that are applied independently to data from individual sites. We present a spatial extension of the methods that integrates information from the data sites and exploits knowledge of the
Dixon, M. J., Tawn, J. A., Vassie, J. M.
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Estimating Probabilities of Extreme Sea-Levels
Applied Statistics, 1992Summary: A key problem in the design of sea defence is the estimation of quantiles of the distribution of annual maximum hourly sea-levels. Traditional statistical analyses fail to exploit the considerable knowledge of the astronomical tidal component of the sea; consequently the corresponding results are higly site specific. Using results from extreme
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Estimating sea-level extremes under conditions of uncertain sea-level rise
Climatic Change, 2009Estimation of expected extremes, using combinations of observations and model simulations, is common practice. Many techniques assume that the background statistics are stationary and that the resulting estimates may be used satisfactorily for any time in the future. We are now however in a period of climate change, during which both average values and
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1997
By making use of the annual maxima and pot methodologies, EV and GP models are fitted to measurements of the sea level where some of the most common estimators of the shape parameter are employed. The results and some applications are compared, thereby permitting us to validate the relation: GP = 1 + log(EV).
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By making use of the annual maxima and pot methodologies, EV and GP models are fitted to measurements of the sea level where some of the most common estimators of the shape parameter are employed. The results and some applications are compared, thereby permitting us to validate the relation: GP = 1 + log(EV).
openaire +1 more source
Estimation of Extreme Sea Levels for Neighboring Seas of Korea
Coastal Engineering Journal, 2002With a numerical model of Northwestern Pacific region, the water movements associated with real time tides and actual storms were reproduced. Making use of reasonably representative model simulations together with data derived from the coastal observations can lead to the required estimates of extreme conditions for the purpose of coastal defense and ...
Byung Ho Choi, Hyun Min Eum, Jin Seok Ko
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Scenario-Based Projection of Extreme Sea Levels
Journal of Coastal Research, 2012ABSTRACT Obeysekera, J. and Park, J., 2013. Scenario-based projection of extreme sea levels. Heavily populated urban centers and natural areas located in low-lying coastal regions are highly vulnerable to sea-level extremes. Historical data at many tide gages suggest that changes over time in extremes generally follow the rise in mean sea level ...
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Extreme Oscillations of the Sea Level in the Laptev Sea
1999Based on an analysis of monitoring data from coastal polar stations, the character of sea-level oscillations in the Laptev Sea is analysed. In addition, sea-level variability and regions displaying a similar character of sea-level oscillations are identified.
I. Ashik, Y. Dvorkin, Y. Vanda
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Trends in Europe storm surge extremes match the rate of sea-level rise
Nature, 2022Francisco Calafat +2 more
exaly

