A global ensemble of ocean wave climate statistics from contemporary wave reanalysis and hindcasts
A global ensemble of ocean wave climate statistics from contemporary wave reanalysis and hindcasts
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DOI：
10.1038/s41597-022-01459-3
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发表时间：
2022-06-22
期刊：
影响因子：
9.8
通讯作者：
Wahl, T.
中科院分区：
文献类型：
--
作者：
Morim, J.;Erikson, L. H.;Hemer, M.;Young, I.;Wang, X.;Mori, N.;Shimura, T.;Stopa, J.;Trenham, C.;Mentaschi, L.;Gulev, S.;Sharmar, V. D.;Bricheno, L.;Wolf, J.;Aarnes, O.;Perez, J.;Bidlot, J.;Semedo, A.;Reguero, B.;Wahl, T.
目前有许多全球海浪再分析和后报产品正在不同的科学领域分发和使用。然而，没有一个一致的数据集可以基于标准化框架对所有现有产品进行采样。在这里，我们提出并描述了迄今为止第一个协调的多产品合奏的当今全球波场。该数据集通过协调海浪气候项目（COWCLIP）第2阶段产生，包括1980-2014年计算的有效波高（Hs），平均波周期（Tm）和平均波向（θm）的一般和极端统计数据，以不同的频率分辨率（每月，季节和每年）计算。这个协调的全球集合是从不同的大气再分析强迫和降尺度方法获得的14个最先进的全球波产品中得出的。这一数据集是在一个具体的一致性和质量框架下，按照标准的数据参考目录、目录结构和元数据规格处理的。这个新的综合数据集为未来对历史波浪气候学和变化的大规模分析以及近海和沿海工程应用的沿海风险和脆弱性评估提供了支持。
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.
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影响因子：
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