Work

Convolutional Neural Networks Facilitate Process Understanding of Megacity Ozone Temporal Variability

Year: 2024

Type: article

Source: Environmental Science & Technology

DOI: 10.1021/acs.est.3c07907

Authors: Zelin Mai, Huizhong Shen, Aoxing Zhang, Haitong Zhe Sun, Lianming Zheng, Jianfeng Guo, Chanfang Liu, Yilin Chen, Chen Wang, Jianhuai Ye, Lei Zhu, Tzung-May Fu, Xin Yang, Shu Tao

Institutions: Southern University of Science and Technology, National University of Singapore, University of Cambridge, Peking University

Language: English

Topic: Air Quality Monitoring and Forecasting

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

Funders: National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Guangdong Science and Technology Department, Department of Education of Guangdong Province, Science, Technology and Innovation Commission of Shenzhen Municipality, Southern University of Science and Technology

Awards: G1774976416, G2240852528, G244694378, G2954410727, G3425550832, G4050799681, G4634747277, G6475528686, G7144280402

OpenAlex ID: W4392853376

FWCI: 3.033

Cites: 61

Cited by: 29

Related to: 10