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首页> 外文期刊>Geoscientific Model Development >A NEMO-based model of Sargassum distribution in the tropical Atlantic: description of the model and sensitivity analysis (NEMO-Sarg1.0)
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A NEMO-based model of Sargassum distribution in the tropical Atlantic: description of the model and sensitivity analysis (NEMO-Sarg1.0)

机译:热带大西洋中Sargassum分布的基于NEMO的模型:模型描述与敏感性分析(NEMO-SARG1.0)

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摘要

The tropical Atlantic has been facing a massive proliferation of Sargassum since 2011, with severe environmental and socioeconomic impacts. The development of large-scale modeling of Sargassum transport and physiology is essential to clarify the link between Sargassum distribution and environmental conditions, and to lay the groundwork for a seasonal forecast at the scale of the tropical Atlantic basin. We developed a modeling framework based on the Nucleus for European Modelling of the Ocean (NEMO) ocean model, which integrates transport by currents and waves, and physiology of Sargassum with varying internal nutrients quota, and considers stranding at the coast. The model is initialized from basin-scale satellite observations, and performance was assessed over the year 2017. Model parameters are calibrated through the analysis of a large ensemble of simulations, and the sensitivity to forcing fields like riverine nutrient inputs, atmospheric deposition, and waves is discussed. Overall, results demonstrate the ability of the model to reproduce and forecast the seasonal cycle and large-scale distribution of Sargassum biomass.
机译:热带大西洋自2011年以来一直面临着肉豆大规模的巨大增殖,具有严重的环境和社会经济影响。 Sargassum运输和生理学大规模建模的发展对于阐明Sargassum分布和环境条件之间的联系至关重要,并为热带大西洋盆地的规模奠定了季节性预测的基础。我们开发了基于欧洲海洋(NEMO)海洋模型建模的核心的建模框架,该核心(NEMO)海洋模型,整合了通过不同内部营养素配额的水流和波浪的运输,以及Sargassum的生理学,并考虑到海岸的滞留。该模型是从盆地卫星观察初始化的,并且在2017年评估了性能。通过分析模拟的大型集合的分析以及迫使河流营养投入,大气沉积和波浪等敏感性来校准模型参数。讨论过。总体而言,结果表明了模型繁殖和预测季节性循环和大规模分布的Sargassum生物量的能力。

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