2024
DOI: 10.22541/essoar.170882559.93392805/v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

First retrieval of 24-hourly 1-km-resolution gapless surface ozone (O 3) from space in China using artificial intelligence: diurnal variations and implications for air quality and phytotoxicity

Fan Cheng,
Zhanqing Li,
Zeyu Yang
et al.

Abstract: Surface ozone (O3) is a crucial ambient pollutant gas that poses substantial risks to both human health and ecosystems. Nonetheless, there is a scarcity of high-spatial-resolution hourly surface O3 data, particularly during the day when this information is needed due to the strong diurnal variations of O3. We thus determined a best-performing artificial intelligence model to derive 24-hourly 1-kmresolution surface O3 concentrations in China from a large array of satellite and surface data, which can portray we… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 77 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?