Mortality and risk projections for "Projecting temperature-related mortality CONUS-wide"

Projecting temperature-related mortality CONUS-wide Data Extract This repository provides examples of mapped relative risks and mortality computation outputs used for projections in the manuscript Projecting temperature-related mortality CONUS-wide. Descriptions of each of the zipped datasets are below: risk-map-ACCESS-CM-2-nationwide.zip - 2015-2100 extracts of mapped relative risks to LOCA2 temperatures for cool (November to March) and warm (May to September) season for ACCESS-CM-2 model for nationwide relative risks for . Outputs are 3-dimensional numpy data frames where the first two dimensions correspond to cell latitude and longitude (corresponding to LOCA2 resolution), and the third dimesion corresponds to to the day of year. Output naming convention: relative_risks_{season}_hist_ACCESS-CM2_{scenario}_{time_period}_nationwide_extended_season.npy season: either cool (djf) or warm (jja) scenario: ssp245, ssp370, ssp585 time_period: 2015-2044, 2045-2074, 2075-2100 zip-mortality-ACCESS-CM2-nationwide.zip - Computed Daily zipcode-level mortality outputs for ACCESS-CM_2. Files are pickles that contain zipcode, daily mortality (daily column of day_0 - day_n), model name, season, and state. Highlighted variables represent the same value options as what is defined above. Output naming convention: daily_at_deaths_{season}_ACCESS-CM2_{scenario}_{time_period}_nationwide_extended_season.pkl