The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/17694008

Guicai Ning; David A. Wardle; Steve Hung-Lam Yim (2021): Ozone data appendix to the manuscript: Suppression of Ozone Formation at High Temperature in China: From Historical Observations to Future Projections. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/17694008.v1

Dataset

• Atmospheric Sciences

Climate Change, Ozone Pollution

2015 to 2019

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Guicai Ning, David A. Wardle, Steve Hung-Lam Yim

The objectives of our study are to identify the suppression of ozone at high temperature in China by using surface hourly ozone data, and to assess the future changes in ozone suppression. This dataset contains the hourly, 24 hours average values of Air Quality Index (AQI), PM2.5, PM10, SO2, NO2, and CO, and the hourly, the daily maximum 8 hours average, and the daily maximum values of O3 concentrations. The dataset coverages the period of 2015 to 2019 and is collected from the Ministry of Ecology and Environment of the People’s Republic of China (http://www.cnemc.cn/en/).

• 2021-12-28 first online, published, posted

4TU.ResearchData

.csv

• http://www.cnemc.cn/en/

Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China