Editorial Type:
Article
Article Type:
Research Article

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

S. Caires Royal Netherlands Meteorological Institute, De Bilt, Netherlands

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A. Sterl Royal Netherlands Meteorological Institute, De Bilt, Netherlands

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Print Publication:
01 Apr 2005
DOI:
https://doi.org/10.1175/JCLI-3312.1
Page(s):
1032–1048
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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.

Corresponding author address: Sofia Caires, KNMI, P.O. Box 201, NL-3730 AE De Bilt, Netherlands. Email: caires@knmi.nl

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.

Corresponding author address: Sofia Caires, KNMI, P.O. Box 201, NL-3730 AE De Bilt, Netherlands. Email: caires@knmi.nl

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