| Evaluation of MOPITT Version 7 joint TIR–NIR XCO retrievals with TCCON JK Hedelius, TL He, D Jones, BC Baier, RR Buchholz, M De Mazière, ... Atmospheric Measurement Techniques 12 (10), 5547-5572, 2019 | 25 | 2019 |
| Deep Learning to Evaluate US NOx Emissions Using Surface Ozone Predictions TL He, DBA Jones, K Miyazaki, B Huang, Y Liu, Z Jiang, EC White, ... Journal of Geophysical Research: Atmospheres 127 (4), e2021JD035597, 2022 | 19* | 2022 |
| A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage VE Zemskova, TL He, Z Wan, N Grisouard Nature communications 13 (1), 4056, 2022 | 14 | 2022 |
| Inverse modelling of Chinese NOx emissions using deep learning: integrating in situ observations with a satellite-based chemical reanalysis TL He, D Jones, K Miyazaki, KW Bowman, Z Jiang, X Chen, R Li, Y Zhang, ... Atmospheric Chemistry and Physics 22 (21), 14059-14074, 2022 | 12 | 2022 |
| A comparative analysis for a deep learning model (hyDL-CO v1. 0) and Kalman filter to predict CO concentrations in China W Han, TL He, Z Tang, M Wang, D Jones, Z Jiang Geoscientific Model Development 15 (10), 4225-4237, 2022 | 7* | 2022 |
| Meteorological and anthropogenic drivers of surface ozone change in the North China Plain in 2015–2021 M Wang, X Chen, Z Jiang, TL He, D Jones, J Liu, Y Shen Science of the Total Environment 906, 167763, 2024 | 2 | 2024 |
| The environment and climate change Canada carbon assimilation system (EC-CAS v1. 0): Demonstration with simulated CO observations V Khade, SM Polavarapu, M Neish, PL Houtekamer, D Jones, SJ Baek, ... Geoscientific Model Development 14 (5), 2525-2544, 2021 | 2 | 2021 |
| Data‐ and Model‐Based Urban O3 Responses to NOx Changes in China and the United States X Chen, M Wang, TL He, Z Jiang, Y Zhang, L Zhou, J Liu, H Liao, ... Journal of Geophysical Research: Atmospheres 128 (20), e2022JD038228, 2023 | 1 | 2023 |
| Increased methane emissions from oil and gas following the Soviet Union’s collapse TL He, RJ Boyd, DJ Varon, AJ Turner Proceedings of the National Academy of Sciences 121 (12), e2314600121, 2024 | | 2024 |
| The capability of deep learning model to predict atmospheric compositions across spatial and temporal domains W Han, TL He, Z Jiang, M Wang, D Jones, K Miyazaki, Y Shen EGU24, 2024 | | 2024 |
| The capability of deep learning model to predict ozone across continents in China, the United States and Europe W Han, TL He, Z Jiang, R Zhu, D Jones, K Miyazaki, Y Shen Geophysical Research Letters 50 (24), e2023GL104928, 2023 | | 2023 |
| Urban Ozone Pollution Changes in China: Role of NOx Emission Controls X Chen, W Min, Z Jiang, Y Shen, TL He, J Liu, H Liao, HM Worden, ... AGU23, 2023 | | 2023 |
| Estimating urban CO2 emission fluxes in San Francisco Bay Area using machine learning emulator for atmospheric transport N Dadheech, TL He, AJ Turner AGU23, 2023 | | 2023 |
| Space-borne assessment of the Soviet Union collapse on the methane slowdown TL He, RJ Boyd, DJ Varon, AJ Turner AGU23, 2023 | | 2023 |
| FootNet: Development of a machine learning emulator of atmospheric transport TL He, N Dadheech, TM Thompson, AJ Turner EarthArXiv, 2023 | | 2023 |
| Spaceborne assessment of the Soviet Union's role in the 1990s methane slowdown TL He, RJ Boyd, DJ Varon, AJ Turner EarthArXiv, 2023 | | 2023 |
| Development of a deep learning emulator of source-receptor footprints for computationally efficient flux inversions TL He, N Dadheech, AJ Turner AGU Fall Meeting Abstracts 2022, A15L-1382, 2022 | | 2022 |
| Can the data assimilation of CO from MOPITT or IASI constrain high-latitude wildfire emissions? A Case Study of the 2017 Canadian Wildfires E Lutsch, D Wunch, DBA Jones, C Clerbaux, JW Hannigan, TL He, ... Authorea Preprints, 2022 | | 2022 |
| Large discrepancy between observations and simulations: Implications for urban air quality in China X Chen, M Wang, Z Jiang, Y Zhang, L Zhou, J Liu, H Liao, H Worden, ... arXiv preprint arXiv:2208.11831, 2022 | | 2022 |
| Mitigating Model Errors in Chemical Data Assimilation: Application of New Data Assimilation and Machine Learning Approaches TL He University of Toronto (Canada), 2022 | | 2022 |
Dylan JonesVerified email at atmosp.physics.utoronto.ca
