Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Reguero, Borja; Losada, I J; Mendez, Fernando J (2018): Global wave power time series. PANGAEA, https://doi.org/10.1594/PANGAEA.896536, Supplement to: Reguero, B et al. (2019): A recent increase in global wave power as a consequence of oceanic warming. Nature Communications, 10(1), https://doi.org/10.1038/s41467-018-08066-0

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Abstract:
Wind-generated ocean waves drive important coastal processes that determine flooding and erosion. Ocean warming has been one factor affecting waves globally. Most studies have focused on studying parameters such as wave heights, but a systematic, global and long-term signal of climate change in global wave behavior remains undetermined. The global wave power, which is the transport of the energy transferred from the wind into sea-surface motion, has increased globally (0.4% per year) and by ocean basins since 1948. Results indicate the upper-ocean warming, a consequence of anthropogenic global warming, is changing the global wave climate, making waves stronger. This identifies wave power as a potentially valuable climate change indicator.
Comment:
This repository includes the global wave power time series from GOW (Reguero et al. 2012, doi:10.1016/j.coastaleng.2012.03.003) and GOW-CFSR (Perez et al. 2017, doi:10.1016/j.coastaleng.2017.03.005) used in the study and the implementation of the algorithm for trend analysis that uses the Mann-Kendall test and the Wang and Swail (2001, doi:10.1175/1520-0442(2002)015<1020:TOAWEA>2.0.CO;2) algorithm for checking the autocorrelation.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1File nameFile nameReguero, Borja
2File formatFile formatReguero, Borja
3File sizeFile sizekByteReguero, Borja
4Uniform resource locator/link to fileURL fileReguero, Borja
Size:
8 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML