Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/194837

Title

Test results for trend extraction algorithms (Table S1)

Author(s)

Young, I. R.;  Zieger, S.;  Babanin, A. V.

Abstract

Studies of climate change typically consider measurements or predictions of temperature over extended periods of time. Climate, however, is much more than temperature. Over the oceans, changes in wind speed and the surface gravity waves generated by such winds play an important role. We used a 23-year database of calibrated and validated satellite altimeter measurements to investigate global changes in oceanic wind speed and wave height over this period. This table summarises the values of trend determined by the various tests, together with 95% confidence limits for the trend. Several different trend extraction algorithms were used: linear regression; linear plus seasonal; Mann-Kendall test; Seasonal Kendall test and Singular Spectrum Analysis. The target value for the trend in this test is 0.5 x 10^2 units/yr. Singular Spectrum Analysis (SSA) was used to 'filter' the time series. The trend of the filtered time series was then determined using the MK test. The confidence limits are for this filtered time series.

Publication type

Research dataset

Research centre

Swinburne University of Technology. Faculty of Engineering and Industrial Sciences. Centre for Sustainable Infrastructure

Source

Originally published as supplementary material to: Young, I. R., Zieger, S., & Babanin, A. V. (2011). Global trends in wind speed and wave height. Science, 322(6028), 608-616, http://dx.doi.org/10.1126/science.1197219.

Publication year

2011

FOR Code(s)

0405 Oceanography;  9603 Climate and Climate Change

Keyword(s)

23-year project;  Climate change;  Global trends;  Oceanic wind speed;  Singular Spectrum Analysis;  Surface gravity waves;  Time series data;  Wave height

Publisher

American Association for the Advancement of Science

Publisher URL

http://www.sciencemag.org/content/332/6028/451/suppl/DC1

Publisher URL

http://hdl.handle.net/1959.3/158078

Copyright

Copyright © 2011 The authors. The authors grant the American Association for the Advancement of Science exclusive rights to use and authorize use of their Work, however, they retain copyright in the Work as well as rights to make certain uses of the Work. This dataset will be available for download here 6 months after publication of the results (October 2011) in accordance with this policy. For more information, please consult the journal's website or contact the authors.