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Journal ArticleDOI

100-Year Return Value Estimates for Ocean Wind Speed and Significant Wave Height from the ERA-40 Data

S. Caires, +1 more
- 01 Apr 2005 - 
- Vol. 18, Iss: 7, pp 1032-1048
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TLDR
In this article, global estimates of 100-yr return values of wind speed and significant wave height are presented based on the ECMWF 40-yr Re-Analysis (ERA-40) data and are linearly corrected using estimates based on buoy data.
Abstract
In this article global estimates of 100-yr return values of wind speed and significant wave height are presented. These estimates are based on the ECMWF 40-yr Re-Analysis (ERA-40) data and are linearly corrected using estimates based on buoy data. This correction is supported by global Topographic Ocean Experiment (TOPEX) altimeter data estimates. The calculation of return values is based on the peaks-over-threshold method. The large amount of data used in this study provides evidence that the distributions of significant wave height and wind speed data belong to the domain of attraction of the exponential. Further, the effect of the space and time variability of significant wave height and wind speed on the prediction of their extreme values is assessed. This is done by performing detailed global extreme value analyses using different decadal subperiods of the 45-yr-long ERA-40 dataset.

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Book

Waves in Oceanic and Coastal Waters

TL;DR: The SWAN wave model as discussed by the authors is a wave model based on linear wave theory (SWAN) for oceanic and coastal waters, and it has been shown to be effective in detecting ocean waves.
Journal ArticleDOI

A Global View on the Wind Sea and Swell Climate and Variability from ERA-40

TL;DR: In this paper, a detailed global climatology of wind sea and swell parameters, based on the ERA-40 wave reanalysis, is presented, including the spatial pattern of the swell dominance of the Earth's oceans.
Journal ArticleDOI

Wind speed trends over the contiguous United States

TL;DR: In this article, a comprehensive intercomparison of historical wind speed trends over the contiguous United States is presented based on two observational data sets, four reanalysis data sets and output from two regional climate models (RCMs).
References
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BookDOI

Density estimation for statistics and data analysis

TL;DR: The Kernel Method for Multivariate Data: Three Important Methods and Density Estimation in Action.
Book

An Introduction to Statistical Modeling of Extreme Values

Stuart Coles
TL;DR: This paper presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of manually cataloging and modeling extreme value values in sequences.
Journal ArticleDOI

An Introduction to Statistical Modeling of Extreme Values

Eric P Smith
- 01 Nov 2002 - 
TL;DR: In this article, an Introduction to Statistical Modeling of Extreme Values is presented, along with a discussion of statistical models of extreme values and their application in statistical modeling of extreme value.
Journal ArticleDOI

EDF Statistics for Goodness of Fit and Some Comparisons

TL;DR: In this paper, a practical guide to goodness-of-fit tests using statistics based on the empirical distribution function (EDF) is presented, and five of the leading statistics are examined.
Journal ArticleDOI

The Asymptotic Theory of Extreme Order Statistics

TL;DR: In this paper, the authors analyze the recent development of the theory of the asymptotic distribution of extremes in the light of the questions (i) and (ii). Several dependence concepts will be introduced, each of which leads to a solution of (i).
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