New modelling tools for addressing computationally challenging climate science problems involving the ocean carbon cycle

用于解决涉及海洋碳循环的具有计算挑战性的气候科学问题的新建模工具

• 批准号: 2083396
• 金额: --
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2083396
• 关键词: New; modelling; tools; addressing; computationally

New computationally-efficient modelling techniques are needed to enable some of the critical questions related to the ocean carbon cycle to become tractable. Ocean carbon cycle modelling is computationally intensive: it takes several thousand years for the deep-ocean to come into equilibrium with surface fluxes: many of the critical dynamical processes that must be resolved by ocean models to represent the relevant ocean circulation are small scale (of the order 10km in the Southern Ocean), and the more realistic biogeochemical models include a detailed description of lower tropic level marine ecosystems that can double or even triple the model's computational cost. The student will explore approaches to generating comptuationally efficient ocean carbon cycle models.

需要新的计算效率高的建模技术，以使与海洋碳循环有关的一些关键问题变得容易处理。海洋碳循环模拟需要大量计算：深海需要几千年时间才能与表层通量达到平衡：海洋模型必须解决的许多关键动力过程都是小尺度的(南大洋约10公里)，而更现实的生物地球化学模型包括对热带下层海洋生态系统的详细描述，这可能使模型的计算费用增加一倍甚至三倍。学生将探索生成具有计算机效率的海洋碳循环模型的方法。