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

Joao Morim; Li H. Erikson; Mark Hemer; Ian Young; Xiaochun Wang; Nobuhito Mori; T. Shimura; Justin Stopa; Claire Trenham; Lorenzo Mentaschi; S. Gulev; V.D. Sharmar; L. Bricheno; Judy Wolf; Ole Aarnes; Paula Camus; J Bidlot; A. Semedo; B. Reguero; T. Wahl

doi:10.1038/s41597-022-01459-3

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

Scientific Data

By: Joao Morim, Li H. Erikson, Mark Hemer, Ian Young, Xiaochun Wang, Nobuhito Mori, T. Shimura, Justin Stopa, Claire Trenham, Lorenzo Mentaschi, S. Gulev, V.D. Sharmar, L. Bricheno, Judy Wolf, Ole Aarnes, Paula Camus, J Bidlot, A. Semedo, B. Reguero, and T. Wahl

https://doi.org/10.1038/s41597-022-01459-3

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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 (H_s), mean wave period (T_m) and mean wave direction (θ_m) 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.

Additional publication details
Publication type	Article
Publication Subtype	Journal Article
Title	A global ensemble of ocean wave climate statistics from contemporary wave reanalysis and hindcasts
Series title	Scientific Data
DOI	10.1038/s41597-022-01459-3
Volume	9
Issue	1
Year Published	2022
Language	English
Publisher	Nature
Contributing office(s)	Pacific Coastal and Marine Science Center
Description	358, 8 p.
Google Analytic Metrics	Metrics page