European Eddy-RIch ESMs

Eddy Rich Earth System Models（EERIE）将开发新一代地球系统模型（ESM），能够明确表示地球系统中至关重要但尚未探索的区域，即海洋中尺度。利用科学和技术的最新进展，EERIE将大大提高这种ESM的能力，以忠实地反映全球气候的百年尺度演变，特别是其变异性，极端情况以及在海洋中尺度影响下临界点可能如何展开。模型改进包括新的动力核心、新的组件（特别是海冰）、尺度感知参数化和机器学习（ML）的补充使用。EERIE的目标是实现每天高达5个模拟年（5个SYPD）的模拟速度，并有效利用欧洲现有的前亿次超级计算机（将功耗降低50%）。在EERIE中使用的技术解决方案是降低精度，GPU，ML和减少I/O。除了改进模型外，EERIE还将开发适用于中尺度的创新实验模拟协议，代表全球气候建模界率先为下一届IPCC做准备。EERIE将产生有用和可用的气候信息，有助于国家和国际气候变化评估，如IPCC;它将通过MLemulato将模型变异性和极端情况纳入综合评估模型（IAM）;它将提供气候临界点和疾病爆发后果的故事情节方法。

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.