A deep-learning-based consistency test approach for Earth system models on HPC systems

Summary: Evaluating climate consistency is a critically important step in the development and optimization of Earth system models (ESMs) on the high-performance computing (HPC) systems. We have developed an Earth system model deep-learning consistency test, referred to as ESM-DCT. The ESM-DCT is bas...

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Главные авторы:	Yangyang Yu, Shaoqing Zhang, Haohuan Fu, Dexun Chen, Yang Gao, Xiaopei Lin, Zhao Liu, Xiaojing Lv
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2025-01-01
Серии:	iScience
Предметы:	Earth sciences Methods in earth sciences
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S2589004224028013
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