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

Research datakeyboard_double_arrow_right Dataset 24 Mar 2022Publisher:Zenodo
Authors: Xiao, Yi; Wang, Yuan; Yuan, Qiangqiang;

doi: 10.5281/zenodo.6966482 , 10.5281/zenodo.6967082 , 10.5281/zenodo.6381600 , 10.5281/zenodo.6922006

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

Abstract

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!

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Keywords

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

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citations
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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