Gridded database of empirical scaling factors for CMIP5 models

The empirical scaling factors can be used to guide the plausible range of changes in the climate variables within impact-adaption-vulnerability assessment under climate change. The gridded dataset of all the scaling factors are produced at the spatial resolution of 0.5o×0.5o with the name ScalingFactor_0.5. In the dataset, there are 6 subfolders named as prcp, pexm, pet, tas, tasmax and tasmin representing scaling factors of precipitation, extreme high daily rainfall, potential evapotranspiration, mean temperature, maximum temperature and minimum temperature. In the subfolder, each text file represents the scaling factors of each GCM model and each run.

经验缩放因子（empirical scaling factors）可用于指导气候变化情景下影响-适应-脆弱性评估中气候变量变化的合理区间。该套格点数据集（gridded dataset）的所有缩放因子均以0.5°×0.5°的空间分辨率生成，命名为ScalingFactor_0.5。本数据集包含6个子文件夹，分别命名为prcp、pexm、pet、tas、tasmax与tasmin，其中prcp对应降水（precipitation）、pexm对应极端日强降雨、pet对应潜在蒸散发（potential evapotranspiration）、tas对应平均气温、tasmax对应最高气温、tasmin对应最低气温的缩放因子。每个子文件夹内的文本文件分别对应单个全球气候模式（GCM, Global Climate Model）及其每一次模拟运行的缩放因子。