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首页> 外文期刊>Earth System Dynamics Discussions >Low-frequency variability in North Sea and Baltic Sea identified through simulations with the 3-D coupled physical–biogeochemical model ECOSMO
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Low-frequency variability in North Sea and Baltic Sea identified through simulations with the 3-D coupled physical–biogeochemical model ECOSMO

机译:通过使用3-D耦合物理-生物地球化学模型ECOSMO进行的模拟确定了北海和波罗的海的低频变化

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Here we present results from a long-term model simulation of the 3-D coupled ecosystem model ECOSMO II for a North Sea and Baltic Sea set-up. The model allows both multi-decadal hindcast simulation of the marine system and specific process studies under controlled environmental conditions. Model results have been analysed with respect to long-term multi-decadal variability in both physical and biological parameters with the help of empirical orthogonal function (EOF) analysis. The analysis of a 61-year (1948–2008) hindcast reveals a quasi-decadal variation in salinity, temperature and current fields in the North Sea in addition to singular events of major changes during restricted time frames. These changes in hydrodynamic variables were found to be associated with changes in ecosystem productivity that are temporally aligned with the timing of reported regime shifts in the areas. Our results clearly indicate that for analysing ecosystem productivity, spatially explicit methods are indispensable. Especially in the North Sea, a correlation analysis between atmospheric forcing and primary production (PP) reveals significant correlations between PP and the North Atlantic Oscillation (NAO) and wind forcing for the central part of the region, while the Atlantic Multi-decadal Oscillation (AMO) and air temperature are correlated to long-term changes in PP in the southern North Sea frontal areas. Since correlations cannot serve to identify causal relationship, we performed scenario model runs perturbing the temporal variability in forcing condition to emphasize specifically the role of solar radiation, wind and eutrophication. The results revealed that, although all parameters are relevant for the magnitude of PP in the North Sea and Baltic Sea, the dominant impact on long-term variability and major shifts in ecosystem productivity was introduced by modulations of the wind fields.
机译:在这里,我们介绍了针对北海和波罗的海设置的3-D耦合生态系统模型ECOSMO II的长期模型仿真结果。该模型既可以对海洋系统进行多年代后验模拟,也可以在受控环境条件下进行特定过程研究。借助经验正交函数(EOF)分析,就物理和生物学参数的长期多年代际变化分析了模型结果。对61年(1948–2008年)后兆的分析表明,北海盐度,温度和电流场的准年代际变化,除了在有限的时间范围内出现重大变化的奇异事件外。发现这些水动力变量的变化与生态系统生产力的变化有关,这些变化在时间上与该地区所报告的政权转移的时间一致。我们的结果清楚地表明,要分析生态系统的生产力,空间上明确的方法必不可少。尤其是在北海,大气强迫与初级生产力(PP)之间的相关性分析显示,该区域中部地区的PP与北大西洋涛动(NAO)和风强迫之间存在显着的相关性,而大西洋多年代际涛动( AMO)和气温与北海南部额叶地区PP的长期变化相关。由于相关性无法确定因果关系,因此我们进行了情景模型运行,对强迫条件下的时间变异性进行了干预,以特别强调太阳辐射,风和富营养化的作用。结果表明,尽管所有参数都与北海和波罗的海的PP大小有关,但通过风场的调制引入了对长期变异性和生态系统生产力的重大转变的主要影响。

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