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LOSCAR: Long-term Ocean-atmosphere-Sediment CArbon cycle Reservoir Model

机译:LOSCAR:长期的海洋-大气-沉积物碳循环循环储层模型

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The LOSCAR model is designed to efficiently compute the partitioning of carbon between ocean, atmosphere, and sediments on time scales ranging from centuries to millions of years. While a variety of computationally inexpensive carbon cycle models are already available, many are missing a critical sediment component, which is indispensable for long-term integrations. One of LOSCAR's strengths is the coupling of ocean-atmosphere routines to a computationally efficient sediment module. This allows, for instance, adequate computation of CaCO3 dissolution, calcite compensation, and long-term carbon cycle fluxes, including weathering of carbonate and silicate rocks. The ocean component includes various biogeochemical tracers such as total carbon, alkalinity, phosphate, oxygen, and stable carbon isotopes. We have previously published applications of the model tackling future projections of ocean chemistry and weathering, pCO2 sensitivity to carbon cycle perturbations throughout the Cenozoic, and carbon/calcium cycling during the Paleocene-Eocene Thermal Maximum. The focus of the present contribution is the detailed description of the model including numerical architecture, processes and parameterizations, tuning, and examples of input and output. Typical CPU integration times of LOSCAR are of order seconds for several thousand model years on current standard desktop machines. The LOSCAR source code in C can be obtained from the author by sending a request to loscar.model@gmail.com.
机译:LOSCAR模型旨在有效计算碳在海洋,大气层和沉积物之间的分配,时间跨度为数百年到数百万年。尽管已经有了许多计算上廉价的碳循环模型,但许多模型都缺少关键的沉积物成分,这对于长期的整合是必不可少的。 LOSCAR的优势之一是将海洋大气程序与计算效率高的沉积物模块相结合。例如,这可以适当地计算CaCO 3 的溶解度,方解石补偿以及长期的碳循环通量,包括碳酸盐岩和硅酸盐岩的风化作用。海洋成分包括各种生物地球化学示踪剂,例如总碳,碱度,磷酸盐,氧气和稳定的碳同位素。我们先前已经发布了该模型的应用程序,该模型可解决海洋化学和风化的未来预测,pCO 2 对整个新生代碳循环扰动的敏感性以及古新世-始新世热最大值期间的碳/钙循环。本贡献的重点是对模型的详细描述,包括数值体系结构,过程和参数化,调整以及输入和输出的示例。在目前的标准台式机上,LOSCAR的典型CPU集成时间约为数千个模型年。可以通过向loscar.model@gmail.com发送请求,从作者那里获得C语言中的LOSCAR源代码。

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