Statistical estimation of extreme ocean waves over the eastern Canadian shelf from 30-year numerical wave simulation

Lanli Guo; Jinyu Sheng

doi:10.1007/s10236-015-0878-y

Statistical estimation of extreme ocean waves over the eastern Canadian shelf from 30-year numerical wave simulation

Lanli Guo, Jinyu Sheng

Psychology

Research output: Contribution to journal › Article › peer-review

19 Citations (Scopus)

Original language	English
Pages (from-to)	1489-1507
Number of pages	19
Journal	Ocean Dynamics
Volume	65
Issue number	11
DOIs	https://doi.org/10.1007/s10236-015-0878-y
Publication status	Published - Nov 1 2015

ASJC Scopus Subject Areas

Oceanography

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s10236-015-0878-y

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title = "Statistical estimation of extreme ocean waves over the eastern Canadian shelf from 30-year numerical wave simulation",

author = "Lanli Guo and Jinyu Sheng",

note = "Funding Information: The authors wish to thank Heng Zhang, William Perrie, Bechara Toulany, and Shiliang Shan for their contributions. The research was funded by the Marine Environmental Observation Prediction and Response Network (MEOPAR) and the Natural Sciences and Engineering Research Council of Canada (NSERC). JS is also supported by the Lloyd{\textquoteright}s Register Foundation, which helps to protect life and property by supporting engineering-related education, public engagement, and the application of research. Model simulations were conducted on computers operated by the Atlantic Computational Excellence Network (ACEnet), which is a partner consortium of Compute Canada, the organization responsible for research High Performance Computing in Canada. Publisher Copyright: {\textcopyright} 2015, Springer-Verlag Berlin Heidelberg.",

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doi = "10.1007/s10236-015-0878-y",

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AU - Guo, Lanli

AU - Sheng, Jinyu

N1 - Funding Information: The authors wish to thank Heng Zhang, William Perrie, Bechara Toulany, and Shiliang Shan for their contributions. The research was funded by the Marine Environmental Observation Prediction and Response Network (MEOPAR) and the Natural Sciences and Engineering Research Council of Canada (NSERC). JS is also supported by the Lloyd’s Register Foundation, which helps to protect life and property by supporting engineering-related education, public engagement, and the application of research. Model simulations were conducted on computers operated by the Atlantic Computational Excellence Network (ACEnet), which is a partner consortium of Compute Canada, the organization responsible for research High Performance Computing in Canada. Publisher Copyright: © 2015, Springer-Verlag Berlin Heidelberg.

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Statistical estimation of extreme ocean waves over the eastern Canadian shelf from 30-year numerical wave simulation

ASJC Scopus Subject Areas

UN SDGs

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