Work

Machine learning-based generation of high-resolution 3D full-coverage aerosol distribution data over China using multisource data

Year: 2025

Type: article

Source: Remote Sensing of Environment

DOI: 10.1016/j.rse.2025.114772

Authors: Wenze Li, Wenchao Han, Jiachen Meng, Zipeng Dong, Jun Xu, Qimeng Wang, Lulu Yuan, Han Wang, Zhongzhi Zhang, Miaomiao Cheng

Institutions: Chinese Research Academy of Environmental Sciences, Nanjing University of Information Science and Technology, Shaanxi Provincial Meteorological Bureau, China National Environmental Monitoring Center, Lanzhou University

Language: English

Topic: Atmospheric aerosols and clouds

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

Funders: National Aeronautics and Space Administration, University of Maryland, National Natural Science Foundation of China, Ministerio de Economía y Competitividad, Tsinghua University, Wuhan University, European Centre for Medium-Range Weather Forecasts, National Key Research and Development Program of China

Awards: G2575786973, G2717968776

OpenAlex ID: W4409625748

FWCI: 2.102

Cites: 130

Cited by: 5

Related to: 10