Data for "Quantifying the Oscillatory Evolution of Simulated Boundary-Layer Cloud Fields Using Gaussian Process Regression"

The dataset for the manuscript titled "Quantifying the Oscillatory Evolution of Simulated Boundary-Layer Cloud Fields Using Gaussian Process Regression". Oh, G. and Austin, P. H.: Quantifying the Oscillatory Evolution of Simulated Boundary-Layer Cloud Fields Using Gaussian Process Regression, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-352, 2024. The dataset contains input parameters used for the SAM LES model run (Khairoutdinov and Randall, 2003) based on the CGILS S2 parameters (CGILS.zip) and the main raw output used for the manuscript (clusters.zip). The latter contains a list of Parquet files for the 12-hour model run, sampled every minute. The raw output consists of the coordinates of all cloudy cells in the model domain, which is used to construct the cloud size distribution as described in the manuscript.本数据集对应研究论文题为《使用高斯过程回归（Gaussian Process Regression）量化模拟边界层云场的振荡演化》，作者为Oh, G.与Austin, P. H.，发表于预印本平台EGUsphere，DOI: 10.5194/egusphere-2024-352，2024年。 本数据集包含基于CGILS S2参数集（CGILS.zip）运行SAM大涡模拟（SAM LES）模型（Khairoutdinov与Randall, 2003）所需的输入参数，以及支撑该论文研究的核心原始输出文件（clusters.zip）。 后者（即clusters.zip）包含12小时模型模拟过程生成的Parquet文件列表，采样间隔为每分钟1次。 该原始输出包含模型计算域内所有云格点的坐标信息，可用于构建论文中所述的云粒径分布。