Long-term (2003-2020) hourly 0.25° global PM2.5 dataset (DeepCAMS) Part-2: 2012-2020

This is part II (2012-2020) of our DeepCAMS. Part I (2003-2011) can be found at: https://doi.org/10.5281/zenodo.6967082 Usage: The raw data -- (scaling factor: 0.1) --> 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

Spatialtemporal downscaling, Deep learning, CAMS, Global PM2.5, GEOS-CF

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average