Supplementary material for the article entitled "Contribution of physical latent knowledge to the emulation of an atmospheric physics model: a study based on the LMDZ Atmospheric General Circulation Model"

Python scripts and data used to train the neural networks, make predictions on the test dataset and plot the figures presented in the article "Contribution of physical latent knowledge to the emulation of an atmospheric physics model: a study based on the LMDZ Atmospheric General Circulation Model"

用于训练神经网络（Neural Networks）、在测试数据集（Test Dataset）上开展预测，并绘制论文《物理隐性知识对大气物理模型（Atmospheric Physics Model）仿真的贡献：基于LMDZ大气环流模式的研究》中展示的图表的Python脚本与数据