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Title: A global ensemble of ocean wave climate projections from CMIP5-driven models

Abstract

This dataset, produced through the Coordinated Ocean Wave Climate Project (COWCLIP) phase 2, represents the first coordinated multivariate ensemble of 21st Century global wind-wave climate projections available (henceforth COWCLIP2.0). COWCLIP2.0 comprises general and extreme statistics of significant wave height (HS), mean wave period (Tm), and mean wave direction (θm) computed over time-slices 1979-2004 and 2081-2100, at different frequency resolutions (monthly, seasonally and annually). The full ensemble comprising 155 global wave climate simulations is obtained from ten CMIP5-based state-of-the-art wave climate studies and provides data derived from alternative wind-wave downscaling methods, and different climate-model forcing and future emissions scenarios. The data has been produced, and processed, under a specific framework for consistency and quality, and follows CMIP5 Data Reference Syntax, Directory structures, and Metadata requirements. Technical comparison of model skill against 26 years of global satellite measurements of significant wave height has been undertaken at global and regional scales. This new dataset provides support for future broad scale coastal hazard and vulnerability assessments and climate adaptation studies in many offshore and coastal engineering applications.

Authors:
ORCiD logo [1]; ORCiD logo [2];  [2];  [3];  [4];  [3];  [5];  [4]; ORCiD logo [6];  [7];  [8]; ORCiD logo [9]; ORCiD logo [10];  [3]; ORCiD logo [11]
  1. Griffith University, Southport, Queensland (Australia), School of Built Environment and Engineering; Commonwealth Scientific and Industrial Research Organisation (CSIRO) Oceans and Atmosphere, Hobart, Tasmania (Australia)
  2. School of Built Environment and Engineering; Commonwealth Scientific and Industrial Research Organisation (CSIRO) Oceans and Atmosphere, Hobart, Tasmania (Australia)
  3. Climate Research Division, Toronto, Ontario (Canada)
  4. Kyoto University, Kyoto (Japan), Disaster Prevention Research Institute
  5. IHE-Delft, Delft (Netherlands), Department of Water Science and Engineering
  6. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States), Climate and Ecosystems Science Division
  7. Universidad de Cantabria, Santander (Spain), Environmental Hydraulics Institute IH Cantabria
  8. National Oceanographic Centre, Liverpool (United Kingdom)
  9. Joint Research Centre (JRC), Ispra (Italy), European Commission
  10. Universität Hamburg, Hamburg (Germany), Institute of Oceanography, Center for Earth System Research and Sustainability (CEN)
  11. Pacific Coastal and Marine Science Center, Santa Cruz, California (United States), US Geological Survey (USGS)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1624278
Alternate Identifier(s):
OSTI ID: 1760228
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Scientific Data
Additional Journal Information:
Journal Volume: 7; Journal Issue: 1; Journal ID: ISSN 2052-4463
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
Science & Technology - Other Topics

Citation Formats

Morim, Joao, Trenham, Claire, Hemer, Mark, Wang, Xiaolan L., Mori, Nobuhito, Casas-Prat, Mercè, Semedo, Alvaro, Shimura, Tomoya, Timmermans, Ben, Camus, Paula, Bricheno, Lucy, Mentaschi, Lorenzo, Dobrynin, Mikhail, Feng, Yang, and Erikson, Li. A global ensemble of ocean wave climate projections from CMIP5-driven models. United States: N. p., 2020. Web. https://doi.org/10.1038/s41597-020-0446-2.
Morim, Joao, Trenham, Claire, Hemer, Mark, Wang, Xiaolan L., Mori, Nobuhito, Casas-Prat, Mercè, Semedo, Alvaro, Shimura, Tomoya, Timmermans, Ben, Camus, Paula, Bricheno, Lucy, Mentaschi, Lorenzo, Dobrynin, Mikhail, Feng, Yang, & Erikson, Li. A global ensemble of ocean wave climate projections from CMIP5-driven models. United States. https://doi.org/10.1038/s41597-020-0446-2
Morim, Joao, Trenham, Claire, Hemer, Mark, Wang, Xiaolan L., Mori, Nobuhito, Casas-Prat, Mercè, Semedo, Alvaro, Shimura, Tomoya, Timmermans, Ben, Camus, Paula, Bricheno, Lucy, Mentaschi, Lorenzo, Dobrynin, Mikhail, Feng, Yang, and Erikson, Li. Fri . "A global ensemble of ocean wave climate projections from CMIP5-driven models". United States. https://doi.org/10.1038/s41597-020-0446-2. https://www.osti.gov/servlets/purl/1624278.
@article{osti_1624278,
title = {A global ensemble of ocean wave climate projections from CMIP5-driven models},
author = {Morim, Joao and Trenham, Claire and Hemer, Mark and Wang, Xiaolan L. and Mori, Nobuhito and Casas-Prat, Mercè and Semedo, Alvaro and Shimura, Tomoya and Timmermans, Ben and Camus, Paula and Bricheno, Lucy and Mentaschi, Lorenzo and Dobrynin, Mikhail and Feng, Yang and Erikson, Li},
abstractNote = {This dataset, produced through the Coordinated Ocean Wave Climate Project (COWCLIP) phase 2, represents the first coordinated multivariate ensemble of 21st Century global wind-wave climate projections available (henceforth COWCLIP2.0). COWCLIP2.0 comprises general and extreme statistics of significant wave height (HS), mean wave period (Tm), and mean wave direction (θm) computed over time-slices 1979-2004 and 2081-2100, at different frequency resolutions (monthly, seasonally and annually). The full ensemble comprising 155 global wave climate simulations is obtained from ten CMIP5-based state-of-the-art wave climate studies and provides data derived from alternative wind-wave downscaling methods, and different climate-model forcing and future emissions scenarios. The data has been produced, and processed, under a specific framework for consistency and quality, and follows CMIP5 Data Reference Syntax, Directory structures, and Metadata requirements. Technical comparison of model skill against 26 years of global satellite measurements of significant wave height has been undertaken at global and regional scales. This new dataset provides support for future broad scale coastal hazard and vulnerability assessments and climate adaptation studies in many offshore and coastal engineering applications.},
doi = {10.1038/s41597-020-0446-2},
journal = {Scientific Data},
number = 1,
volume = 7,
place = {United States},
year = {2020},
month = {3}
}

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