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Title: Impact of tropical cyclones on modeled extreme wind-wave climate

Journal Article · · Geophysical Research Letters
DOI:https://doi.org/10.1002/2016GL071681· OSTI ID:1436150

Here, the effect of forcing wind resolution on the extremes of global wind-wave climate are investigated in numerical simulations. Forcing winds from the Community Atmosphere Model at horizontal resolutions of ~1.0° and ~0.25° are used to drive Wavewatch III. Differences in extreme wave height are found to manifest most strongly in tropical cyclone (TC) regions, emphasizing the need for high-resolution forcing in those areas. Comparison with observations typically show improvement in performance with increased forcing resolution, with a strong influence in the tail of the distribution, although simulated extremes can exceed observations. A simulation for the end of the 21st century under a RCP 8.5 type emission scenario suggests further increases in extreme wave height in TC regions.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER); National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1436150
Alternate ID(s):
OSTI ID: 1402165
Journal Information:
Geophysical Research Letters, Vol. 44, Issue 3; ISSN 0094-8276
Publisher:
American Geophysical UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 34 works
Citation information provided by
Web of Science

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Cited By (5)

The effect of changing spatial resolution in global dynamic wave models posted_content January 2018
A modelling-based assessment of the imprint of storms on wind waves in the western Mediterranean Sea journal September 2018
An evaluation of the consistency of extremes in gridded precipitation data sets journal January 2019
Robustness and uncertainties in global multivariate wind-wave climate projections journal August 2019
An algorithmic framework for the optimization of computationally expensive bi-fidelity black-box problems journal June 2019