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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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Elsevier
2025-01-01
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| Series: | iScience |
| Assuntos: | |
| Acceso en liña: | http://www.sciencedirect.com/science/article/pii/S2589004224028013 |
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