Data

COWCLIP2.0 ocean wave climate and extremes statistics from CMIP5-driven wave models

Australian Ocean Data Network
Morim, Joao ; Trenham, Claire ; Hemer, Mark ; Wang, Xiaolan ; Mori, Nobuhito ; Shimura, Tomoya ; Timmermans, Ben ; Mentaschi, Lorenzo ; Casas-Prat, Mercè ; Semedo, Alvaro ; Dobrynin, Mikhail ; Camus, Paula ; Bricheno, Lucy ; Feng, Yang ; Erikson, Li
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=DOI:10.26198/5d91a9d00d60d&rft.title=COWCLIP2.0 ocean wave climate and extremes statistics from CMIP5-driven wave models&rft.identifier=DOI:10.26198/5d91a9d00d60d&rft.description=The Coordinated Ocean Wave Climate Project (COWCLIP) has undertaken a process of aligning modelled ocean wave data driven by CMIP5 global climate models in historical and projection periods under standardised conditions, using a coherent set of codes across all modelled wave datasets to generate climate and extremes statistics, and these statistical data were merged produce this data collection ready for direct comparison and analysis. The findings of these wave climate projections are published in Morim et al (2019), DOI: 10.1038/s41558-019-0542-5. This data collection accompanies a data descriptor paper in Scientific Data.A collaboration of ten ocean wave modelling groups used CMIP5 global climate model data to force dynamical and statistical wave models. The data was standardised by the COWCLIP community by agreeing on CMIP5 experiments to use (historical, RCP4.5, RCP8.5) as wave model forcing, and periods over which the wave models should be run (1979-2005 and 2080-2099). Ocean wave variables of interest in this study were significant wave height (H_s), mean wave period (T_m) and mean wave direction (θ_m). The wave model data were processed to compute a set of standard statistics (mean, max, 10th, 50th, 90th, 95th and 99th percentiles; or mean and standard deviation for direction) and extremes statistics (in line with the Expert Team on Climate Change Detection Indices measures) relative to a 1986-2005 baseline using Fortan code common to all contributing organisations. The data were submitted to a central location for merging and analysis, which was performed via Matlab to support the Morim et al (2019) Nature Climate Change paper. The data were made standards compliant for publication here using python. The Fortran and Python codes are available from https://cowclip.org/data-access/.Data provided for each wave variable, monthly, seasonally and annually, are: - Significant wave height (Hs) and mean wave period (Tm): average, 10th, 50th, 90th, 95th and 99th percentiles, maximum - Mean wave direction (Dm): average, standard deviation Extremes statistics for significant wave height (Hs) annually compared to a baseline period of 1986-2005 are: # days with max Hs > 2.5m; # days with max Hs > 6m; % days with max Hs > 2.5m; % days with max Hs > 6m; % days with max Hs < 10th percentile of reference period; % days with max has > 90th percentile of reference period; # days with at least 2 consecutive days with max Hs > 90th percentile of reference period.In July 2021, an issue was identified in the processing of COWCLIP2.0 output files from DELFT-IHE, KU and LBNL modelling centres. For further details see the attached errata statement.&rft.creator=Morim, Joao &rft.creator=Trenham, Claire &rft.creator=Hemer, Mark &rft.creator=Wang, Xiaolan &rft.creator=Mori, Nobuhito &rft.creator=Shimura, Tomoya &rft.creator=Timmermans, Ben &rft.creator=Mentaschi, Lorenzo &rft.creator=Casas-Prat, Mercè &rft.creator=Semedo, Alvaro &rft.creator=Dobrynin, Mikhail &rft.creator=Camus, Paula &rft.creator=Bricheno, Lucy &rft.creator=Feng, Yang &rft.creator=Erikson, Li &rft.date=2019&rft.coverage=northlimit=90.00; southlimit=-90.00; westlimit=-180.00; eastLimit=179.00&rft.coverage=northlimit=90.00; southlimit=-90.00; westlimit=-180.00; eastLimit=179.00&rft_rights=Creative Commons Attribution-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-sa/4.0&rft_subject=oceans&rft_subject=ocean wave climate&rft_subject=ocean wave statistics&rft_subject=ocean wave extremes statistics&rft_subject=OCEAN WAVES&rft_subject=EARTH SCIENCE&rft_subject=OCEANS&rft_subject=SIGNIFICANT WAVE HEIGHT&rft_subject=WAVE PERIOD&rft_subject=WAVE SPEED/DIRECTION&rft_subject=WIND WAVES&rft_subject=EXTREME WEATHER&rft_subject=CLIMATE INDICATORS&rft_subject=ATMOSPHERIC/OCEAN INDICATORS&rft_subject=Significant height of waves on the water body&rft_subject=Average zero crossing period of waves on the water body&rft_subject=Direction of waves on the water body&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution-ShareAlike 4.0 International License
http://creativecommons.org/licenses/by-sa/4.0

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Brief description

The Coordinated Ocean Wave Climate Project (COWCLIP) has undertaken a process of aligning modelled ocean wave data driven by CMIP5 global climate models in historical and projection periods under standardised conditions, using a coherent set of codes across all modelled wave datasets to generate climate and extremes statistics, and these statistical data were merged produce this data collection ready for direct comparison and analysis. The findings of these wave climate projections are published in Morim et al (2019), DOI: 10.1038/s41558-019-0542-5. This data collection accompanies a data descriptor paper in Scientific Data.

Lineage

A collaboration of ten ocean wave modelling groups used CMIP5 global climate model data to force dynamical and statistical wave models. The data was standardised by the COWCLIP community by agreeing on CMIP5 experiments to use (historical, RCP4.5, RCP8.5) as wave model forcing, and periods over which the wave models should be run (1979-2005 and 2080-2099). Ocean wave variables of interest in this study were significant wave height (H_s), mean wave period (T_m) and mean wave direction (θ_m). The wave model data were processed to compute a set of standard statistics (mean, max, 10th, 50th, 90th, 95th and 99th percentiles; or mean and standard deviation for direction) and extremes statistics (in line with the Expert Team on Climate Change Detection Indices measures) relative to a 1986-2005 baseline using Fortan code common to all contributing organisations. The data were submitted to a central location for merging and analysis, which was performed via Matlab to support the Morim et al (2019) Nature Climate Change paper. The data were made standards compliant for publication here using python. The Fortran and Python codes are available from https://cowclip.org/data-access/.
Data provided for each wave variable, monthly, seasonally and annually, are:
- Significant wave height (Hs) and mean wave period (Tm): average, 10th, 50th, 90th, 95th and 99th percentiles, maximum
- Mean wave direction (Dm): average, standard deviation
Extremes statistics for significant wave height (Hs) annually compared to a baseline period of 1986-2005 are: # days with max Hs > 2.5m; # days with max Hs > 6m; % days with max Hs > 2.5m; % days with max Hs > 6m; % days with max Hs < 10th percentile of reference period; % days with max has > 90th percentile of reference period; # days with at least 2 consecutive days with max Hs > 90th percentile of reference period.
In July 2021, an issue was identified in the processing of COWCLIP2.0 output files from DELFT-IHE, KU and LBNL modelling centres. For further details see the attached errata statement.

Notes

Credit
This study represents Task 3 of the second phase of the Coordinated Ocean Wave Climate Project (COWCLIP) (https://cowclip.org/), an international collaborative working group endorsed by the Joint Technical Commission for Oceanography and Marine Meteorology (JCOMM). We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modeling groups (listed in Table 1 of this paper) for generating and making available their model outputs. For CMIP the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. J.M, C.T and M.H. acknowledge the support of NESP Earth Systems and Climate Change Hub. B.T and M.W acknowledge the support of the Regional and Global Climate Modeling Program of the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research (contract number DE-AC02-05CH11231) and the National Energy Research Supercomputing Center (NERSC) of the Lawrence Berkeley National Laboratory. N.M, T.S, A.B and B.K. acknowledge the support of the TOUGOU Program by MEXT, Japan, JSPS-Kakenhi Program. B.K acknowledge to support Hakubi Center in Kyoto University. L.E. acknowledges the support of the US Geological Survey Coastal and Marine Hazards/Resources Program.

Created: 16 09 2019

Data time period: 1979-01-01 to 2005-12-31

Data time period: 2080-01-01 to 2099-12-31

Click to explore relationships graph

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text: northlimit=90.00; southlimit=-90.00; westlimit=-180.00; eastLimit=179.00

Other Information
(Archived NetCDF files via THREDDS catalog)

uri : http://thredds.aodn.org.au/thredds/catalog/CSIRO/Climatology/COWCLIP2/catalog.html

(Scientific Data article)

uri : https://www.nature.com/articles/s41597-020-0446-2

(Journal article - findings of these wave climate projections published in Morim et al (2019))

doi : https://doi.org/10.1038/s41558-019-0542-5

Data errata statement (July 2021) (COWCLIP2.0_errata.docx)

uri : https://catalogue.aodn.org.au/geonetwork/srv/api/records/1de0e8b1-4777-4526-b3d7-805938b8e6bc/attachments/COWCLIP2.0_errata.docx

Identifiers
  • global : 1de0e8b1-4777-4526-b3d7-805938b8e6bc
  • Local : DOI:10.26198/5d91a9d00d60d