Articles | Volume 16, issue 10
https://doi.org/10.5194/essd-16-4655-2024
https://doi.org/10.5194/essd-16-4655-2024
Data description paper
 | 
16 Oct 2024
Data description paper |  | 16 Oct 2024

A 10 km daily-level ultraviolet-radiation-predicting dataset based on machine learning models in China from 2005 to 2020

Yichen Jiang, Su Shi, Xinyue Li, Chang Xu, Haidong Kan, Bo Hu, and Xia Meng

Related authors

Oxidation-driven acceleration of NPF-to-CCN conversion under polluted atmosphere: Evidence from mountain-top observations in Yangtze River Delta
Weibin Zhu, Sai Shang, Jieqi Wang, Yunfei Wu, Zhaoze Deng, Liang Ran, Ye Kuang, Guiqian Tang, Xiangpeng Huang, Xiaole Pan, Lanzhong Liu, Weiqi Xu, Yele Sun, Bo Hu, Zifa Wang, and Zirui Liu
EGUsphere, https://doi.org/10.5194/egusphere-2025-4901,https://doi.org/10.5194/egusphere-2025-4901, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
First High-Resolution Surface Spectral Clear-Sky Ultraviolet Radiation Dataset across China (1981–2023): Development, Validation, and Variability
Qinghai Qi, Yuting Tan, Christian A Gueymard, Martin Wild, Bo Hu, Wenmin Qin, Taowen Sun, Ming Zhang, and Lunche Wang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-368,https://doi.org/10.5194/essd-2025-368, 2025
Preprint under review for ESSD
Short summary
Simulated photochemical response to observational constraints on aerosol vertical distribution over North China
Xi Chen, Ke Li, Ting Yang, Xipeng Jin, Lei Chen, Yang Yang, Shuman Zhao, Bo Hu, Bin Zhu, Zifa Wang, and Hong Liao
Atmos. Chem. Phys., 25, 9151–9168, https://doi.org/10.5194/acp-25-9151-2025,https://doi.org/10.5194/acp-25-9151-2025, 2025
Short summary
Spatiotemporal continuous estimates of daily 1 km PM2.5 from 2000 to present under the Tracking Air Pollution in China (TAP) framework
Qingyang Xiao, Guannan Geng, Shigan Liu, Jiajun Liu, Xia Meng, and Qiang Zhang
Atmos. Chem. Phys., 22, 13229–13242, https://doi.org/10.5194/acp-22-13229-2022,https://doi.org/10.5194/acp-22-13229-2022, 2022
Short summary
Measurement report: Saccharide composition in atmospheric fine particulate matter during spring at the remote sites of southwest China and estimates of source contributions
Zhenzhen Wang, Di Wu, Zhuoyu Li, Xiaona Shang, Qing Li, Xiang Li, Renjie Chen, Haidong Kan, Huiling Ouyang, Xu Tang, and Jianmin Chen
Atmos. Chem. Phys., 21, 12227–12241, https://doi.org/10.5194/acp-21-12227-2021,https://doi.org/10.5194/acp-21-12227-2021, 2021
Short summary

Cited articles

Ameer, S., Shah, M. A., Khan, A., Song, H., Maple, C., Islam, S. U., and Asghar, M. N.: Comparative Analysis of Machine Learning Techniques for Predicting Air Quality in Smart Cities, IEEE Access, 7, 128325–128338, https://doi.org/10.1109/access.2019.2925082, 2019. 
Araki, S., Shima, M., and Yamamoto, K.: Spatiotemporal land use random forest model for estimating metropolitan NO2 exposure in Japan, Sci. Total Environ., 634, 1269–1277, https://doi.org/10.1016/j.scitotenv.2018.03.324, 2018. 
Bamrah, S. K., Saiharshith, K., and Gayathri, K.: Application of random forests for air quality estimation in india by adopting terrain features, 2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP), Chennai, India, 28–29 September 2020, 1–6, https://doi.org/10.1109/ICCCSP49186.2020.9315252, 2020. 
Bi, J., Wildani, A., Chang, H. H., and Liu, Y.: Incorporating Low-Cost Sensor Measurements into High-Resolution PM2.5 Modeling at a Large Spatial Scale, Environ. Sci. Technol., 54, 2152–2162, https://doi.org/10.1021/acs.est.9b06046, 2020. 
Blumthaler, M., Ambach, W., and Ellinger, R.: Increase in solar UV radiation with altitude, J. Photoch. Photobio. B, 39, 130–134, https://doi.org/10.1016/s1011-1344(96)00018-8, 1997. 
Download
Short summary
Limited ultraviolet (UV) measurements hindered further investigation of its health effects. This study used a machine learning algorithm to predict UV radiation with a daily and 10 km resolution of high accuracy in mainland China in 2005–2020. Then, uneven spatial distribution and population exposure risks as well as increased temporal trend of UV radiation were found in China. The long-term and high-quality UV dataset could further facilitate health-related research in the future.
Share
Altmetrics
Final-revised paper
Preprint