Supplementary data for storyline approaches to assess low-likelihood high-impact outcomes under different emission scenarios

This dataset contains the supplementary data for a manuscript on storyline approaches to assess low-likelihood high-impact outcomes under different emission scenarios. The dataset contains estimates of 7-day running mean of daily maximum temperatures (Tx7day), precipitation minus evapotranspiration (P-E), and annual maximum daily maximum precipitation (Rx1day) for the scenarios SSP1-2.6, SSP2-4.5, and SSP3-7.0 for multiple CMIP6 models. Data are available averaged over two different time periods (1995-2014, 2081-2100) and for different storyline approaches (nearest neighbour, warming level, pattern scaling). Additionally, time series of global mean surface air temperature (GSAT) are available. Ancillary data contain the SREX regions at 1° spatial resolution as well as the five nearest-neighbour models for each SSP-RCP scenario. Note that the nearest-neighbour models available here are calculated based on the full model ensemble, that is without considering potential model interdependencies.本数据集为一篇研究手稿的补充数据，该手稿围绕情景轨迹（storyline）方法展开，用于评估不同排放情景下的低概率高影响事件。 本数据集包含多组第六次耦合模式比较计划（CMIP6）模式在SSP1-2.6、SSP2-4.5及SSP3-7.0三种排放情景下的三类指标估算值：日最高气温7日滑动平均（Tx7day）、降水减蒸散量（P-E）以及年最大日降水量（Rx1day）。数据包含两个不同时段（1995-2014年、2081-2100年）的平均值，以及基于三种不同情景轨迹（storyline）方法（最近邻法、增温阈值法、模态缩放法）的计算结果。此外，数据集还提供全球平均地表气温（GSAT）的时间序列。 辅助数据包含空间分辨率为1°的极端事件管理与气候适应特别报告（SREX）区域，以及每种SSP-RCP情景对应的5个最近邻模式。 需注意，本数据集所使用的最近邻模式是基于完整模式集合计算得到的，未考虑模式间潜在的相互依赖性。