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

机译:西北欧洲货架海洋环境季节性预测的前景是什么?

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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:西北欧洲货架(NWS)海洋的可持续管理和利用可以从海洋环境的可靠预测上每月到季节性时间尺寸。全球季节性预测系统和区域海洋房子的最新进展允许我们调查NWS状态季节性预测的潜力。我们确定三种可能的方法来解决此问题:(a)?基于NWS季节性预测,直接从Met Office的GloseA5全球季节性预测系统的产出; (b)?在Glosea5预测的大规模气候司机与NWS状态下,制定经验较高的关系; (c)?使用区域模型动态缩小Glosea5。我们表明Glosea5系统不能直接模拟NW(方法?a)。我们探讨了冬季大西洋振荡(NAO)与NWS变量之间的经验关系,利用区域再分析估算(方法?B)。我们发现一些统计上的重要关系,并为英语通道海面温度提供了熟练的原型季节性预测。我们在架子上建模的边界条件和年间可变性之间发现了大规模关系,表明动态缩小可能是可能的(接近?C)。我们还表明,对于一些变量,存在与NAO相关的相反机制,其动态缩小可以提高具有经验预测的技能。我们得出结论,有潜力对NWS的可靠季节性预测,并考虑其发展的研究优先事项。

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