A Fortran-Python Interface for Integrating Machine Learning Parameterization into Earth System Models

Parameterizations in Earth System Models (ESMs) are subject to biases and uncertainties arising from subjective empirical assumptions and incomplete understanding of the underlying physical processes. Recently, the growing representational capability of machine learning (ML) in solving complex probl...

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Vydané v:	Geoscientific model development Ročník 18; číslo 6
Hlavní autori:	Zhang, Tao, Morcrette, Cyril, Zhang, Meng, Lin, Wuyin, Xie, Shaocheng, Liu, Ye, Van Weverberg, Kwinten, Rodrigues, Joana
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Copernicus Publications, EGU 24.03.2025
Predmet:	ENVIRONMENTAL SCIENCES
ISSN:	1991-9603
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