Literature DB >> 35732662

A global ensemble of ocean wave climate statistics from contemporary wave reanalysis and hindcasts.

J Morim1, L H Erikson2, M Hemer3, I Young4, X Wang5, N Mori6, T Shimura6, J Stopa7, C Trenham2, L Mentaschi8, S Gulev9, V D Sharmar9, L Bricheno10, J Wolf10, O Aarnes11, J Perez12, J Bidlot13, A Semedo14, B Reguero15, T Wahl16.   

Abstract

There are numerous global ocean wave reanalysis and hindcast products currently being distributed and used across different scientific fields. However, there is not a consistent dataset that can sample across all existing products based on a standardized framework. Here, we present and describe the first coordinated multi-product ensemble of present-day global wave fields available to date. This dataset, produced through the Coordinated Ocean Wave Climate Project (COWCLIP) phase 2, includes general and extreme statistics of significant wave height (Hs), mean wave period (Tm) and mean wave direction (θm) computed across 1980-2014, at different frequency resolutions (monthly, seasonally, and annually). This coordinated global ensemble has been derived from fourteen state-of-the-science global wave products obtained from different atmospheric reanalysis forcing and downscaling methods. This data set has been processed, under a specific framework for consistency and quality, following standard Data Reference Syntax, Directory Structures and Metadata specifications. This new comprehensive dataset provides support to future broad-scale analysis of historical wave climatology and variability as well as coastal risk and vulnerability assessments across offshore and coastal engineering applications.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 35732662     DOI: 10.1038/s41597-022-01459-3

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   6.444


  5 in total

1.  33 years of globally calibrated wave height and wind speed data based on altimeter observations.

Authors:  Agustinus Ribal; Ian R Young
Journal:  Sci Data       Date:  2019-05-29       Impact factor: 6.444

2.  Doubling of coastal flooding frequency within decades due to sea-level rise.

Authors:  Sean Vitousek; Patrick L Barnard; Charles H Fletcher; Neil Frazer; Li Erikson; Curt D Storlazzi
Journal:  Sci Rep       Date:  2017-05-18       Impact factor: 4.379

3.  Centuries of monthly and 3-hourly global ocean wave data for past, present, and future climate research.

Authors:  Zhenya Song; Ying Bao; Danqi Zhang; Qi Shu; Yajuan Song; Fangli Qiao
Journal:  Sci Data       Date:  2020-07-10       Impact factor: 6.444

4.  A recent increase in global wave power as a consequence of oceanic warming.

Authors:  Borja G Reguero; Iñigo J Losada; Fernando J Méndez
Journal:  Nat Commun       Date:  2019-01-14       Impact factor: 14.919

5.  A global ensemble of ocean wave climate projections from CMIP5-driven models.

Authors:  Joao Morim; Claire Trenham; Mark Hemer; Xiaolan L Wang; Nobuhito Mori; Mercè Casas-Prat; Alvaro Semedo; Tomoya Shimura; Ben Timmermans; Paula Camus; Lucy Bricheno; Lorenzo Mentaschi; Mikhail Dobrynin; Yang Feng; Li Erikson
Journal:  Sci Data       Date:  2020-03-27       Impact factor: 6.444

  5 in total

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