Brief description
This dataset contains daily total PM2.5 predictions for Australia from 2020 to 2023 based on the Bushfire Smoke V1.3 random forest model. In addition to PM2.5 predictions, a Seasonal-Trend decomposition using LOESS (STL) decomposition was calculated for years 2021-2023, using a seasonal window of 45. Due to the abnormal levels of PM2.5 in January 2020 from severe bushfires, the year 2020 was not included in the STL calculation. However, the decomposition was extrapolated to 2020 using 2021 seasonal and trend values. Extrapolation was performed to cover coastal pixels, taking the average of adjacent pixels where NA. The creators acknowledge the Sydney Informatics Hub and the University of Sydney’s high performance computing cluster Artemis for providing the high performance computing resources that have contributed to the production of this dataset. This research was undertaken with the assistance of resources from the Clean Air and health Research Data and Analysis Technology platform (CARDAT), which is supported by funds from The Centre for Safe Air (CSA; https://safeair.org.au/), which is funded by the National Health and Medical Research Council (2015584), the Curtin WHO Collaborating Centre for Climate Change and Health Impact Assessment, and the Australian Research Data Commons (ARDC) AirHealth Data Bridges project (https://doi.org/10.47486/PS022). The Bushfire Smoke Exposure project received seed funding project support from the CSA, as well as the ARDC Bushfire Data Challenges project (https://ardc.edu.au/project/assessing-the-impact-of-bushfire-smoke-on-health/) and the Australian National Health and Medical Research Council (APP2004514) Ideas Grant - Bushfire smoke exposure during pregnancy and epigenetic changes in offspring (https://www.nhmrc.gov.au/funding/find-funding/ideas-grants).Notes
NHMRC Ideas Grant (APP2004514) "Bushfire smoke exposure during pregnancy and epigenetic changes in offspring"Data time period: 2020-01-01 to 2023-12-31
text: Australia
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- DOI : 10.17605/OSF.IO/47C6B
- Local : datinv_896
