European Eddy-RIch Earth System Models (EERIE)

欧洲富涡地球系统模型 (EERIE)

• 批准号: 10049639
• 金额: $ 82.02万
• 依托单位: UNIVERSITY OF OXFORD
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10049639
• 关键词: European; Eddy; RIch; Earth; System

Eddy Rich Earth System Models (EERIE) will develop a new generation of Earth System Models (ESMs) that are capable of explicitly representing a crucially important, yet unexplored regime of the Earth system, the ocean mesoscale. Leveraging the latest advances in science and technology, EERIE will substantially improve the ability of such ESMs to faithfully represent the centennial-scale evolution of the global climate, especially its variability, extremes and how tipping points may unfold under the influence of the ocean mesoscale. Model improvements include new dynamical cores, new components (particularly sea ice), scale-aware parametrization and the complementary use of Machine Learning (ML) The technological challenge associated with this ambition is very high. EERIE’s goal is to achieve a simulation speed of up to 5 simulated years per day (5 SYPDs) and to make efficient use (reduction in power consumption by 50%) of the pre-exascale supercomputers now available in Europe. The technological solutions that are to be leveraged in EERIE are the use of reduced precision, GPUs, ML and reduced I/O. Alongside model improvements, EERIE will develop innovative experimental simulation protocols that are suitable for the mesoscale, to be pioneered on behalf of the global climate modelling community, in preparation for the next IPCC. EERIE will produce useful and usable climate information that will contribute to national and international climate change assessments such as IPCC; it will incorporate model variability and extremes within an Integrated Assessment Model (IAM) via a MLemulato;, and it will deliver storyline approaches to the consequences of climate tipping points and disease outbreaks.no project summary

Eddy Rich Earth System Models（Eerie）将开发能够明确但未探索的地球系统，海洋中尺度上的eREIS的ESMS显然代表忠实地代表这种怪异的地球系统，以实现地球系统的明确但未开发的状态，以忠实地代表着忠实的ESM，可以忠实地代表着忠实的态度百年纪念级别的变异性，极端和倾斜点如何使海中核心，新组件（尤其是海冰），比例吸引参数化和与机器学习的汇编（ML）社会是版本很高。 ML和I /O与模型的改进一起，将代表全球社区开发适合于中的IPCC的创新体验模拟协议。作为IPCC；通过mlemulato进行了经过评估的模型（IAM），它将为气候倾斜和疾病的故事情节提供。