CTMs data for paper " Improving Light-Dependent Monoterpene Emission Parameterizations to Enhance Chemical Transport Model Predictions of Ozone and SOA in South China "
This dataset provides information on chemical compositions of real-world PM emissions from typical anthropogenic sources in China, including the industrial, residential, and transportation sectors. Th
These environmental raster covariate, geospatial vector data, and tabular data were compiled as input data for the Automated Reference Toolset (ART) algorithm.
