Improving NOxemission estimates in Beijing using network observations and a perturbed emissions ensemble
L Yuan, OAM Popoola, C Hood, D Carruthers, RL Jones, HZ Sun, H Liu, Q Zhang, AT Archibald
– Atmospheric Chemistry and Physics
(2022)
22,
Improving NOx emission estimates in Beijing using network observations and a perturbed emissions ensemble
L Yuan, OAM Popoola, C Hood, D Carruthers, RL Jones, HZ Sun, H Liu, Q Zhang, AT Archibald
– Atmospheric Chemistry and Physics
(2022)
22,
Cohort-based long-term ozone exposure-associated mortality risks with adjusted metrics: A systematic review and meta-analysis.
HZ Sun, P Yu, C Lan, MWL Wan, S Hickman, J Murulitharan, H Shen, L Yuan, Y Guo, AT Archibald
– Innovation
(2022)
3,
Improving NOX emissions in Beijing using network observations and a novel perturbed emissions ensemble
L Yuan, O Popoola, C Hood, D Carruthers, RL Jones, HZ Sun, H Liu, Q Zhang, AT Archibald
(2022)
Supplementary material to "Improving NO<sub>X</sub> emissions in Beijing using network observations and a novel perturbed emissions ensemble"
L Yuan, O Popoola, C Hood, D Carruthers, RL Jones, HZ Sun, H Liu, Q Zhang, AT Archibald
(2022)
Improving a priori emission estimates using network observations and a perturbed emissions ensemble:
a study in Beijing
L Yuan
(2021)
Spatial Resolved Surface Ozone with Urban and Rural Differentiation during 1990-2019: A Space-Time Bayesian Neural Network Downscaler
H Sun, YM Shin, M Xia, S Ke, M Wan, L Yuan, Y Guo, AT Archibald
– Environ Sci Technol
(2021)
56,
Constraining emission estimates of carbon monoxide using a perturbed emissions ensemble with observations: a focus on Beijing
L Yuan, OAM Popoola, C Hood, D Carruthers, RL Jones, H Liu, Z Lv, Q Zhang, AT Archibald
– Air Quality, Atmosphere & Health
(2021)
14,
The Geography of Mobility, Wellbeing and Development in China, Understanding Transformations Through Big Data
(2020)