Age-Specific Mortality Climate Impact Distributions

Percentiles of age-specific mortality impacts due to climate change, organized by level of aggregation, climate scenario, and time period. Mortality impacts are estimated by applying future climate data to dose-response functions of mortality rates for specific age bands. The uncertainty represented by these percentiles comes from a combination of statistical uncertainty in the dose-response functions, climate uncertainty across GCMs, and within-month weather realization, as sampled by Monte Carlo runs. The archive contains four folders: county_20a with county-level impacts, state_20yr with state-aggregated impacts, nca_20yr with NCA-region aggregated impacts, and national_20y with nationally aggregated impacts. Aggregation is weighted by population within each region The files are labeled as follow: health-mortage---. The age BAND is one of 0-0 (newborns), ages 1 - 44, 45 - 64, and 65-inf (older than 64). The RCP may be RCP 2.6, RCP 4.5, RCP 6.0, or RCP 8.5; the years are "2020", for average impacts during 2020 - 2039, "2040" for impacts 2040 - 2059, and "2080" for impacts 2080 - 2099. Files with the suffix 'b.csv' contain percent changes; those with the suffix '-absolute.csv' contain level changes in MT. The columns of these files specify the region (using the FIPS code for counties), and the quantiles from 1% ("q0.01") to 99% ("q0.99"). This data is provided for non-commercial research and educational purposes.本数据集收录了气候变化引发的分年龄组死亡影响的百分位数结果，按聚合层级、气候情景与时间周期进行组织分类。 死亡影响通过将未来气候数据应用于特定年龄组的死亡率剂量-反应函数（dose-response function）进行估算。 上述百分位数所体现的不确定性，由三部分共同叠加而成：剂量-反应函数的统计不确定性、全球气候模式（GCM，Global Climate Model）间的气候不确定性，以及经蒙特卡洛（Monte Carlo）抽样得到的月内天气实现场景的不确定性。 本数据集归档包含四个子文件夹：分别为存储县级死亡影响数据的"county_20a"、存储州级聚合死亡影响数据的"state_20yr"、存储国家气候评估（NCA，National Climate Assessment）区域聚合死亡影响数据的"nca_20yr"，以及存储国家级聚合死亡影响数据的"national_20y"。所有聚合操作均以各区域内的人口数作为权重进行加权计算。 数据文件命名规则如下：health-mortage---。 年龄组（age BAND）涵盖以下四类：0-0岁（新生儿）、1-44岁、45-64岁，以及65岁及以上（65-inf）。典型浓度路径（RCP，Representative Concentration Pathway）可选RCP 2.6、RCP 4.5、RCP 6.0或RCP 8.5；时间周期标签分为三类："2020"代表2020-2039年的平均影响，"2040"代表2040-2059年的影响，"2080"代表2080-2099年的影响。后缀为"b.csv"的文件包含百分比变化数据，后缀为"-absolute.csv"的文件则包含以MT为单位的绝对变化量。 数据文件的列字段分别指定区域（县级数据使用联邦信息处理标准（FIPS，Federal Information Processing Standards）代码），以及从1%分位数（标注为"q0.01"）至99%分位数（标注为"q0.99"）的各百分位数值。 本数据集仅可用于非商业性研究与教育用途。