Data and code associated with the publication: Anthropogenic influences on the water cycle amplify uncertainty in drought assessments

This depository includes three NetCDF datasets and one Mathematica notebook designed to compute the drought estimation error within the bias-variance decomposition framework for various constructed terrestrial water storage scenarios. These methods are also applied to a real-world global reanalyses terrestrial water storage dataset.本数据集仓库包含三个NetCDF（网络通用数据格式）数据集与一个Mathematica笔记本，该笔记本可在偏差-方差分解框架下，针对各类构建的陆地水储量情景计算干旱估算误差。前述计算方法同样被应用于一套真实的全球再分析陆地水储量数据集。