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Climate Dynamics

, Volume 26, Issue 2–3, pp 109–126 | Cite as

Climate change signal and uncertainty in projections of ocean wave heights

  • Xiaolan L. Wang
  • Val R. Swail
Article

Abstract

In this study, projections of seasonal means and extremes of ocean wave heights were made using projections of sea level pressure fields conducted with three global climate models for three forcing-scenarios. For each forcing-scenario, the three climate models’ projections were combined to estimate the multi-model mean projection of climate change. The relative importance of the variability in the projected wave heights that is due to the forcing prescribed in a forcing-scenario was assessed on the basis of ensemble simulations conducted with the Canadian coupled climate model CGCM2. The uncertainties in the projections of wave heights that are due to differences among the climate models and/or among the forcing-scenarios were characterized. The results show that the multi-model mean projection of climate change has patterns similar to those derived from using the CGCM2 projections alone, but the magnitudes of changes are generally smaller in the boreal oceans but larger in the region nearby the Antarctic coastal zone. The forcing-induced variance (as simulated by CGCM2) was identified to be of substantial magnitude in some areas in all seasons. The uncertainty due to differences among the forcing-scenarios is much smaller than that due to differences among the climate models, although it was identified to be statistically significant in most areas of the oceans (this indicates that different forcing conditions do make notable differences in the wave height climate change projection). The sum of the model and forcing-scenario uncertainties is smaller in the JFM and AMJ seasons than in other seasons, and it is generally small in the mid-high latitudes and large in the tropics. In particular, some areas in the northern oceans were projected to have large changes by all the three climate models.

Keywords

Wave Height Western North Pacific Generalize Extreme Value North Pacific Climate Change Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors are greatly indebted to Qiuzi Wen and Yang Feng for their computing support. The authors thank Dr. Francis Zwiers for his help in clarifying questions about ANOVA techniques. Drs. Sofia Caires and Vicheslav Kharin are acknowledged for their helpful comments on an earlier version of this manuscript. All anonymous reviewers are also acknowledged for their helpful comments.

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Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  1. 1.Climate Research BranchMeteorological Service of CanadaDownsviewCanada

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