xpertsystems/enr007-sample

ENR007 是一个合成气候影响数据集（样本预览），由五个表格组成，全面覆盖物理和转型风险面。它包括温度预测（包含极地放大和类似ENSO的自然变率）、极端天气事件（12种灾害类型，带有气候归因分数）、碳排放路径（6个部门×4种温室气体，包含碳预算和定价）、海平面上升（全球平均海平面上升分解为热膨胀、冰盖和冰川贡献，以及海洋pH值和海洋热浪）以及适应策略（12种策略类型，包含效益成本比、净现值和适应不良风险标志）。数据集校准基于多个权威来源，如IPCC AR6、CMIP6模型集合、NOAA风暴事件数据库、慕尼黑再保险NatCat、IEA GHG等。样本包含所有六种IPCC SSP情景（SSP1-1.9、SSP1-2.6、SSP2-4.5、SSP3-7.0、SSP5-8.5和当前政策），覆盖30个地点×30年（2020-2049）×所有6种SSP情景（约34,000条记录）。完整产品则覆盖500-1000多个地点×80年（至2100）×所有6种SSP情景（约1000万条记录）。数据集适用于多种机器学习任务，如SSP情景比较、气候归因、极端事件回归周期估计、灾难建模、碳预算预测等。

ENR007 is a synthetic climate impact dataset (sample preview) consisting of five tables that span the full physical and transition risk surface. It includes temperature projections with polar amplification and ENSO-like natural variability, extreme weather events (12 hazard types with climate attribution fractions), carbon emissions pathways (6 sectors × 4 GHG species with carbon budgets and pricing), sea level rise (decomposition of global mean sea level rise into thermal expansion, ice sheet, and glacier contributions, along with ocean pH and marine heatwaves), and adaptation strategies (12 strategy types with benefit-cost ratio, net present value, and maladaptation flags). The dataset is calibrated against authoritative sources such as IPCC AR6, CMIP6 model ensemble, NOAA Storm Events Database, Munich Re NatCat, IEA GHG, and others. The sample includes all six IPCC SSP scenarios (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5, and Current Policy), covering 30 locations × 30 years (2020-2049) × all 6 SSP scenarios (~34,000 total records). The full product extends to 500-1000+ locations × 80 years (to 2100) × all 6 SSP scenarios (~10M+ records). It is suitable for various machine learning applications, including SSP scenario comparison, climate attribution, extreme event return period estimation, catastrophe modeling, carbon budget forecasting, and more.