Replication Data for: Estimating the Acute Health Impacts of Fire-Originated PM2.5 Exposure during the 2017 California Wildfires: Sensitivity to Choices of Inputs
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PM2.5 datasets used in the manuscript: "Estimating the Acute Health Impacts of Fire-Originated PM2.5 Exposure during the 2017 California Wildfires: Sensitivity to Choices of Inputs." Includes 3 estimates of daily average total PM2.5 concentrations (ug/m^3), all provided for Oct. 8-20, 2017 at a 1-km resolution: (1) CC-CMAQ (CCCMAQ_TotalPM25_1km_Oct8-20.csv) (2) BME kriging of observations (BMEKriging_TotalPM25_1km_Oct8-20.csv) (3) BME data fusion of observations, CC-CMAQ, and satellite-derived estimates (BMEDataFusion_TotalPM25_1km_Oct8-20.csv) Includes 2 estimates of background PM2.5: (1) CMAQ percent attributable (CMAQPercentAttributable_BackgroundPM25_1km_Oct8-20.csv) - percent of PM2.5 attributable to wildfire emissions. Provided for Oct. 8-20, 2017 at a 1-km resolution (2) October 2016 (October2016_BackgroundPM25_1km.csv) - Monthly average PM2.5 concentrations (ug/m^3). Provided for October 2016 at a 1-km resolution More detail on the methods used to create the total PM2.5 surfaces can be found in: "Estimating Wildfire Smoke Concentrations during the October 2017 California Fires through BME Space/Time Data Fusion of Observed, Modeled, and Satellite-Derived PM2.5." (https://doi.org/10.1021/acs.est.0c03761).
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UNC Dataverse
创建时间:
2021-03-02



