Datasets used in Kokkola et al. (2024) "Model analysis of biases in satellite diagnosed aerosol effect on cloud liquid water path"

Datasets have been divided in two containers according to the spatial resolution. Container 1 : 2003163_DYCOMS_II_RF02_cloud_prop_75 m_75m including 9 ncfiles, three sampling times and three simulation scenarios initialized with different aerosol loadings. Each file shows cloud property fields in the original horizontal resolution of simulations. Container 2 : 2003163_DYCOMS_II_RF02_cloud_prop_1425m_1425m including 9 ncfiles, three sampling times and three simulation scenarios initialized with different aerosol loadings. Original horizontal resolution in simulations. Each file shows cloud property fields spatially aggregated in subdomains of 1.425 Km by 1.425 Km (19 model vertical columns each one with 75 m by 75 m). Spatially-aggregated properties are obtained using cloud optical thickness in cloudy columns as a weighting factor during horizontal averaging operations along subdomains.

本数据集依据空间分辨率划分为两个数据集组。数据集组1：2003163_DYCOMS_II_RF02_cloud_prop_75 m_75m，包含9个NetCDF格式文件（ncfiles）、3个采样时刻以及3组以不同气溶胶载荷初始化的模拟场景。每个文件存储模拟原始水平分辨率下的云属性场数据。数据集组2：2003163_DYCOMS_II_RF02_cloud_prop_1425m_1425m，包含9个NetCDF格式文件、3个采样时刻以及3组以不同气溶胶载荷初始化的模拟场景。其数据基于模拟的原始水平分辨率生成，每个文件存储的云属性场数据是将原始模拟数据空间聚合至1.425千米×1.425千米的子区域后得到的（每个子区域包含19个模型垂直柱体，单个柱体的分辨率为75米×75米）。空间聚合后的属性参数，是在子区域内执行水平平均运算时，以含云柱体的云光学厚度作为加权因子计算得到的。