A 15-year full-coverage daily PM1 dataset across China based on a data-fusion model
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The long-term (2004-2018) full-coverage daily PM<sub>1</sub> dataset across China was developed based on a stacking decision tree model assimilating satellite data, meteorological variables, and other geographical covariates. The PM<sub>1</sub> dataset captured a strong prediction capability with a high cross-validation (CV) R<sup>2</sup> value (0.64), and the low root-mean-square error (RMSE: 18.60 μg/m<sup>3</sup>) and moderate absolute error (MAE: 11.96 μg/m<sup>3</sup>). The long-term PM<sub>1</sub> dataset obtained here provide a key scientific basis and data support for epidemiological research and air pollution mitigation.
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Zenodo创建时间：
2020-11-19
