Development of an integrated machine-learning and data assimilation framework for NO<sub>x</sub> emission inversion.

Development of an integrated machine-learning and data assimilation framework for NO_x emission inversion.

Chen, Yiang; Fung, Jimmy C H; Yuan, Dehao; Chen, Wanying; Fung, Tung; Lu, Xingcheng.

Afiliación

Chen Y; Division of Environment and Sustainability, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China.
Fung JCH; Division of Environment and Sustainability, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China; Department of Mathematics, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China.
Yuan D; Department of Computer Science, University of Maryland, College Park, MD, USA.
Chen W; Division of Environment and Sustainability, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China.
Fung T; Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Lu X; Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China. Electronic address: xingchenglu2011@gmail.com.

Sci Total Environ ; 871: 161951, 2023 May 01.

Article en En | MEDLINE | ID: mdl-36737010