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The added value of the multi-system spread information for ocean heat content and steric sea level investigations in the CMEMS GREP ensemble reanalysis product

机译:CMEMS GREP集合再分析产品中用于海洋热量含量和空间海平面调查的多系统传播信息的附加值

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摘要

Since 2016, the Copernicus Marine Environment Monitoring Service (CMEMS) has produced and disseminated an ensemble of four global ocean reanalyses produced at eddy-permitting resolution for the period from 1993 to present, called GREP (Global ocean Reanalysis Ensemble Product). This dataset offers the possibility to investigate the potential benefits of a multi-system approach for ocean reanalyses, since the four reanalyses span by construction the same spatial and temporal scales. In particular, our investigations focus on the added value of the information on the ensemble spread, implicitly contained in the GREP ensemble, for temperature, salinity, and steric sea level studies. It is shown that in spite of the small ensemble size, the spread is capable of estimating the flow-dependent uncertainty in the ensemble mean, although proper re-scaling is needed to achieve reliability. The GREP members also exhibit larger consistency (smaller spread) than their predecessors, suggesting advancement with time of the reanalysis vintage. The uncertainty information is crucial for monitoring the climate of the ocean, even at regional level, as GREP shows consistency with CMEMS high-resolution regional products and complement the regional estimates with uncertainty estimates. Further applications of the spread include the monitoring of the impact of changes in ocean observing networks; the use of multi-model ensemble anomalies in hybrid ensemble-variational retrospective analysis systems, which outperform static covariances and represent a promising application of GREP. Overall, the spread information of the GREP product is found to significantly contribute to the crucial requirement of uncertainty estimates for climatic datasets.
机译:自2016年以来,哥白尼海洋环境监测服务(CMEMS)制作并传播了从1993年至今的四种以涡流允许分辨率进行的全球海洋再分析的合集,称为GREP(全球海洋再分析集合产品)。该数据集为研究海洋再分析的多系统方法的潜在好处提供了可能性,因为这四个再分析跨越了相同的时空尺度构建。尤其是,我们的研究重点在于GREP集合中隐含包含的有关集合传播的信息的附加值,用于温度,盐度和空间海平面研究。结果表明,尽管总体规模较小,但扩展仍能够估算总体均值中与流量相关的不确定性,尽管需要适当的重新定标以获得可靠性。 GREP成员还比其前任成员表现出更大的一致性(传播范围更小),这表明重新分析年份随着时间的推移而发展。不确定性信息对于甚至在区域级别的海洋气候监测也至关重要,因为GREP显示出与CMEMS高分辨率区域产品的一致性,并用不确定性估计值对区域估计值进行补充。传播的进一步应用包括监测海洋观测网络变化的影响;在混合整体变差回溯分析系统中使用多模型整体异常,其性能优于静态协方差,代表了GREP的有希望的应用。总体而言,已发现GREP产品的传播信息对气候数据集不确定性估计的关键要求有重大贡献。

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