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PT-ESM: A Parameter-Testing and Integration Framework for Earth System Models Oriented towards High-Performance Computing

Authors :
Jiaxu Guo
Liang Hu
Gaochao Xu
Juncheng Hu
Xilong Che
Source :
Atmosphere, Vol 15, Iss 8, p 935 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

High-performance computing (HPC) plays a crucial role in scientific computing, and the efficient utilization of HPC to accomplish computational tasks remains a focal point of research. This study addresses the issue of parameter tuning for Earth system models by proposing a comprehensive solution based on the concept of scientific workflows. This solution encompasses detailed methods from sensitivity analysis to parameter tuning and incorporates various approaches to enhance result accuracy. We validated the reliability of our methods using five cases in the Single Column Atmosphere Model (SCAM). Specifically, we investigated the influence of fluctuations of 11 typical parameters on 10 output variables. The experimental results show that the magnitude of the impact on the results varies significantly when different parameters are perturbed. These findings will help researchers develop more reasonable parameterization schemes for different regions and seasons.

Details

Language :
English
ISSN :
15080935 and 20734433
Volume :
15
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Atmosphere
Publication Type :
Academic Journal
Accession number :
edsdoj.617f7337d0484c7f8f9efca24066b09b
Document Type :
article
Full Text :
https://doi.org/10.3390/atmos15080935