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In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 244, S. 114081
ISSN: 1090-2414
In: Waste management: international journal of integrated waste management, science and technology, Band 120, S. 68-75
ISSN: 1879-2456
In: Materials and design, Band 239, S. 112816
ISSN: 1873-4197
In: Internet interventions: the application of information technology in mental and behavioural health ; official journal of the European Society for Research on Internet Interventions (ESRII) and the International Society for Research on Internet Interventions (ISRII), Band 34, S. 100673
ISSN: 2214-7829
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 259, S. 114999
ISSN: 1090-2414
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 242, S. 113924
ISSN: 1090-2414
In: Materials and design, Band 220, S. 110843
ISSN: 1873-4197
Accompanied by the continuous declines of PM 2.5 , O 3 pollution has become increasingly prominent and has been targeted by the Government of China to protect climate, ecosystem, and human health. Although satellite retrievals of column O 3 have been operated for decades and nationwide monitoring of ground-level O 3 has been offered since 2013 in China, climatological variability of ground-level O 3 remains unknown, which impedes understanding of the long-term driver and impacts of O 3 pollution in China. Here we develop an eXtreme Gradient Boosting (XGBoost) model integrating high-resolution meteorological data, satellite retrievals of trace gases, etc. to provide reconstructed daily ground-level O 3 over 2005–2021 in China. Model validation confirms the robustness of this dataset, with R 2 of 0.89 for sample-based cross-validation. The accuracy of the long-term variations has also been confirmed with independent historical observations covering the same period from urban, rural and background sites. Our dataset covers the long time period of 2005–2021 with 0.1°×0.1° gap-free grids, which can facilitate climatological, ecological, and health research. The dataset is freely available at Zenodo ( https://zenodo.org/record/6507706#.Yo8hKujP13g ; Zhou, 2022).
BASE
In: Environmental science and pollution research: ESPR, Band 28, Heft 39, S. 55302-55314
ISSN: 1614-7499
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 208, S. 111453
ISSN: 1090-2414
In: Environmental science and pollution research: ESPR, Band 19, Heft 6, S. 2460-2462
ISSN: 1614-7499
In: TRGEO-D-22-00655
SSRN
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 280, S. 116545
ISSN: 1090-2414
In: Environmental science and pollution research: ESPR, Band 30, Heft 23, S. 64058-64066
ISSN: 1614-7499
In: Materials and design, Band 208, S. 109906
ISSN: 1873-4197