removing bias from air quality scenarios
script | description |
---|---|
prepare-aq-obs-data.R | prepare air quality data for script testing |
check-aq-raster.R | check the prepared AQ data |
unbias-aq-scenario.R | function to process the unbiasing of a scenario |
interpolate-points-to-grid.R | interpolate sparse data (or coefficients) to a grid |
test_interpolation.R | test and plot results of the interpolation |
calibrate-unbias-coefficient.R | calibrate the coefficients for correction, comparing base case vs observed data |
apply-unbiasing.R | apply the correction coefficients to a scenario |
file name | description | source |
---|---|---|
pm25_avg_18.tif | PM2.5 2018 annual mean, interpolated on 1km grid | downloaded from https://www.eea.europa.eu/en/datahub/datahubitem-view/938bea70-07fc-47e9-8559-8a09f7f92494 |
pm25_avg_22.tif | PM2.5 2022 annual mean, interpolated on 1km grid | downloaded from https://www.eea.europa.eu/en/datahub/datahubitem-view/938bea70-07fc-47e9-8559-8a09f7f92494 |
eea_obs_pm25_bkg_2022.csv | PM2.5 2022 annual mean, measured in European background stations | prepared with prepare-aq-obs-data.R |
eea_obs_pm25_bkg_2023.csv | PM2.5 2023 annual mean, measured in European background stations | prepared with prepare-aq-obs-data.R |