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A regional hindcast model simulating ecosystem dynamics, inorganic carbon chemistry, and ocean acidification in the Gulf of Alaska

机译:在阿拉斯加海湾模拟生态系统动力学,无机碳化学和海洋酸化的地区后播模型

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摘要

The coastal ecosystem of the Gulf of Alaska (GOA) is especially vulnerable to the effects of ocean acidification and climate change. Detection of these long-term trends requires a good understanding of the system’s natural state. The GOA is a highly dynamic system that exhibits large inorganic carbon variability on subseasonal to interannual timescales. This variability is poorly understood due to the lack of observations in this expansive and remote region. We developed a new model setup for the GOA that couples the three-dimensional Regional Oceanic Model System (ROMS) and the Carbon, Ocean Biogeochemistry and Lower Trophic (COBALT) ecosystem model. To improve our conceptual understanding of the system, we conducted a hindcast simulation from 1980 to 2013. The model was explicitly forced with temporally and spatially varying coastal freshwater discharges from a high-resolution terrestrial hydrological model, thereby affecting salinity, alkalinity, dissolved inorganic carbon, and nutrient concentrations. This represents a substantial improvement over previous GOA modeling attempts. Here, we evaluate the model on seasonal to interannual timescales using the best available inorganic carbon observations. The model was particularly successful in reproducing observed aragonite oversaturation and undersaturation of near-bottom water in May and September, respectively. The largest deficiency in the model is its inability to adequately simulate springtime surface inorganic carbon chemistry, as it overestimates surface dissolved inorganic carbon, which translates into an underestimation of the surface aragonite saturation state at this time. We also use the model to describe the seasonal cycle and drivers of inorganic carbon parameters along the Seward Line transect in under-sampled months. Model output suggests that the majority of the near-bottom water along the Seward Line is seasonally undersaturated with respect to aragonite between June and January, as a result of upwelling and remineralization. Such an extensive period of reoccurring aragonite undersaturation may be harmful to ocean acidification-sensitive organisms. Furthermore, the influence of freshwater not only decreases the aragonite saturation state in coastal surface waters in summer and fall, but it simultaneously decreases the surface partial pressure of carbon dioxide (pCO2), thereby decoupling the aragonite saturation state from pCO2. The full seasonal cycle and geographic extent of the GOA region is under-sampled, and our model results give new and important insights for months of the year and areas that lack in situ inorganic carbon observations.
机译:阿拉斯加湾(GOA)的沿海生态系统特别容易受到海洋酸化和气候变化的影响。检测这些长期趋势需要对系统的自然状态良好的理解。 GOA是一种高度动态的系统,对际时间尺寸造成较大的无机碳变异性。由于这种膨胀和偏远地区缺乏观察,这种可变性很差。我们为果阿开发了一种新的模型设置,使三维区域海洋模型系统(ROM)和碳,海洋生物地球化学和低营养(钴)生态系统模型耦合。为了提高对系统的概念理解,我们从1980年到2013年进行了一个Hindcast仿真。从高分辨率陆地水文模型中明确地明确地强迫该模型,从而影响了高分辨率的陆地水文模型,从而影响了盐度,碱度,溶解的无机碳和营养浓度。这代表了对之前的果阿建模尝试的大量改进。在这里,我们使用最佳可用无机碳观察来评估季节性季节性的模型。该模型特别成功地在5月和9月分别在5月和9月的近底水中繁殖的观察到的杂散过饱和和缺少。该模型中最大的缺陷是它无法充分模拟春天表面无机碳化学,因为它高估了表面溶解的无机碳,这在此时转化为低估了表面饱和状态的低估。我们还使用该模型来描述沿着审形线横切的季节性循环和驾驶员的无机碳参数横切。模型输出表明,由于升高和再矿化,在6月至1月期间,沿着Seward线的大多数近底水在6月和1月之间的季节性普遍存在。这种广泛的重新灼热物质缺少的时间可能对海洋酸化敏感生物有害。此外,淡水的影响不仅降低了夏季和落后的沿海表面水域中的文石饱和状态,而且同时降低二氧化碳(PCO2)的表面分压,从而与PCO2分离的亚体饱和状态。果阿地区的完整季节性周期和地理范围是被取样的,我们的模型结果为一年中的几个月和缺乏原位无机碳观察的区域提供了新的和重要的见解。

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