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What are the prospects for seasonal prediction of the marine environment of the North-west European Shelf?

机译:对西北欧洲大陆架海洋环境进行季节性预报的前景如何?

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Sustainable management and utilisation of the North-west European Shelf (NWS) seas could benefit from reliable forecasts of the marine environment on monthly to seasonal timescales. Recent advances in global seasonal forecast systems and regional marine reanalyses for the NWS allow us to investigate the potential for seasonal forecasts of the state of the NWS. We identify three possible approaches to address this issue: (A)?basing NWS seasonal forecasts directly on output from the Met Office's GloSea5 global seasonal forecast system; (B)?developing empirical downscaling relationships between large-scale climate drivers predicted by GloSea5 and the state of the NWS; and (C)?dynamically downscaling GloSea5 using a regional model. We show that the GloSea5 system can be inadequate for simulating the NWS directly (approach?A). We explore empirical relationships between the winter North Atlantic Oscillation (NAO) and NWS variables estimated using a regional reanalysis (approach?B). We find some statistically significant relationships and present a skillful prototype seasonal forecast for English Channel sea surface temperature. We find large-scale relationships between inter-annual variability in the boundary conditions and inter-annual variability modelled on the shelf, suggesting that dynamic downscaling may be possible (approach?C). We also show that for some variables there are opposing mechanisms correlated with the NAO, for which dynamic downscaling may improve on the skill possible with empirical forecasts. We conclude that there is potential for the development of reliable seasonal forecasts for the NWS and consider the research priorities for their development.
机译:西北欧洲陆架(NWS)海域的可持续管理和利用可以受益于每月到季节性时间表上可靠的海洋环境预测。 NWS的全球季节性预报系统和区域海洋再分析的最新进展使我们能够研究NWS状况的季节性预报的潜力。我们确定了解决此问题的三种可能方法:(A)将NWS的季节预报直接基于大都会办公室GloSea5全球季节预报系统的输出; (B)在GloSea5预测的大型气候驱动因素与NWS州之间建立经验降尺度关系; (C)使用区域模型动态缩小GloSea5的规模。我们表明,GloSea5系统可能不足以直接模拟NWS(方法A)。我们探索了冬季北大西洋涛动(NAO)与使用区域重新分析(方法B)估计的NWS变量之间的经验关系。我们发现了一些具有统计学意义的关系,并提出了英吉利海峡海表温度的熟练原型季节性预报。我们发现边界条件下的年际变化与在架子上建模的年际变化之间存在大规模的关系,这表明动态降尺度是可能的(方法?C)。我们还表明,对于某些变量,存在与NAO相关的相反机制,对于这些机制,动态降尺度可以提高经验预测的技巧。我们得出的结论是,新创建的可靠的季节预报有发展的潜力,并考虑其发展的研究重点。

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