Published May 21, 2017 | Version v1
Dataset Open

Age-Specific Mortality Climate Impact Distributions

  • 1. UC Berkeley
  • 2. University of Chicago
  • 3. Rutgers University
  • 4. Rhodium Group

Description

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-<BAND>-<RCP>-<YEAR><SUFFIX>.

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.

Files

mortality-age.zip

Files (282.1 MB)

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