Data, process documentation and plotting routines for figures in "Advancing Artificial Neural Network Parameterisation for Atmospheric Turbulence using a Variational Multiscale Model"

This publication contains the data, process overview, analysis code and plotting routines that underpin the manuscript "Advancing Artificial Neural Network Parameterisation for Atmospheric Turbulence using a Variational Multiscale Model", submitted to the Journal of Advances in Modeling Earth Systems. The data is organised in two sub-directories: One for the Python scripts that make up the process pipeline of the study, and one for reconstructing the figures in the manuscript, with each folder containing the Python code and uncompressed simulation output data required to reproduce each figure.

本数据集包含支撑已投稿至《地球系统建模进展杂志》（Journal of Advances in Modeling Earth Systems）的论文《基于变分多尺度模型的大气湍流人工神经网络参数化方法改进》(Advancing Artificial Neural Network Parameterisation for Atmospheric Turbulence using a Variational Multiscale Model) 的数据、流程概述、分析代码与绘图脚本。数据集分为两个子目录：其一用于存放构建本研究流程管线的Python脚本，其二用于复现论文中的所有配图；每个子文件夹均包含复现对应图表所需的Python代码与未压缩的模拟输出数据。