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Toward Earth system modeling with resolved clouds and ocean submesoscales on heterogeneous many-core HPCs

Authors :
Shaoqing Zhang
Shiming Xu
Haohuan Fu
Lixin Wu
Zhao Liu
Yang Gao
Chun Zhao
Wubing Wan
Lingfeng Wan
Haitian Lu
Chenling Li
Yanfei Liu
Xiaojing Lv
Jiayu Xie
Yangyang Yu
Jun Gu
Xuantong Wang
Yan Zhang
Chenhui Ning
Yunlong Fei
Xiuwen Guo
Zhaoying Wang
Xue Wang
Zhenming Wang
Binglin Qu
Mingkui Li
Haoran Zhao
Yingjing Jiang
Guang Yang
Lv Lu
Hong Wang
Hong An
Xin Zhang
Yu Zhang
Wentao Ma
Fujiang Yu
Jing Xu
Xiaopei Lin
Xueshun Shen
Source :
National Science Review. 10
Publication Year :
2023
Publisher :
Oxford University Press (OUP), 2023.

Abstract

With the aid of the newly developed ‘Sunway’ heterogeneous-architecture supercomputer, which has world-leading HPC (high-performance computer) capability, a series of high-resolution coupled Earth system models (SW-HRESMs) with up to 5 km of atmosphere and 3 km of ocean have been developed. These models can meet the needs of multiscale interaction studies with different computational costs. Here we describe the progress of SW-HRESMs development, with an overview of the major advancements made by the international Earth science community in HR-ESMs. We also show the preliminary results of SW-HRESMs with regard to capturing major weather-climate extremes in the atmosphere and ocean, stressing the importance of permitted clouds and ocean submesoscale eddies in modeling tropical cyclones and eddy-mean flow interactions, and paving the way for further model development to resolve finer scales with even higher resolution and more realistic physics. Finally, in addition to increasing model resolution, the development procedure for a non-hydrostatic cloud and ocean submesoscale resolved ESM is discussed, laying out the major scientific directions of such a huge modeling advancement.

Subjects

Subjects :
Multidisciplinary

Details

ISSN :
2053714X and 20955138
Volume :
10
Database :
OpenAIRE
Journal :
National Science Review
Accession number :
edsair.doi...........148e532914526e26fc5f1084cc4d83b1