Long-term (2003-2020) hourly 0.25° global PM2.5 dataset (DeepCAMS) Part-1: 2003-2011

Usage: The raw data needs to be divided by 10 to correspond the true PM2.5 concentration Paper title: Generating a Long-term (2003-2020) hourly 0.25° global PM2.5 dataset via spatiotemporal downscaling of CAMS with deep learning (DeepCAMS) Paper doi: https://doi.org/10.1016/j.scitotenv.2022.157747 If you find our work helpful, please cite it, thank you very much!

Related Organizations

Wuhan University
China (People's Republic of)

Keywords

global PM2.5, deep learning, CAMS, spatiotemporal downscaling, GEOS-CF

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