All-Age Mortality Climate Impact Distributions

Percentiles of all-age 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. 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-mortality-&lt;RCP&gt;-&lt;YEAR&gt;&lt;SUFFIX&gt;. 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"). <em>This data is provided for non-commercial research and educational purposes.</em>本数据集涵盖气候变化引发的全年龄段死亡影响的百分位数，按聚合层级、气候情景与时间周期进行组织。死亡影响通过将未来气候数据应用于死亡率的剂量反应（dose-response）函数进行估算。这些百分位数所表征的不确定性，由三部分共同构成：剂量反应函数的统计不确定性、全球气候模式（GCM）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序列。本数据集存档包含四个文件夹：county_20a 对应县级死亡影响数据，state_20yr 对应州级聚合影响数据，nca_20yr 对应国家气候评估（NCA）区域聚合影响数据，national_20y 对应全国级聚合影响数据。聚合过程以各区域内的人口作为权重进行加权。文件命名规则如下：health-mortality-&lt;RCP&gt;-&lt;YEAR&gt;&lt;SUFFIX&gt;。其中典型浓度路径（RCP）可选值为 RCP 2.6、RCP 4.5、RCP 6.0 及 RCP 8.5；年份标识"2020"对应2020-2039年的平均影响，"2040"对应2040-2059年的影响，"2080"对应2080-2099年的影响。后缀为"b.csv"的文件包含百分比变化量；后缀为"-absolute.csv"的文件包含以MT为单位的绝对变化量。各文件的列信息分别为：区域（县级数据使用联邦信息处理标准（FIPS）代码标识），以及从1%分位数（"q0.01"）至99%分位数（"q0.99"）的各分位点数值。本数据集仅供非商业研究与教育用途。