Publications
Wang, M.; Chen, X.; He, T.-L.; Jones, D. B. A.; Liu, J.; Shen Y. Meteorological and anthropogenic drivers of surface ozone change in the North China Plain in 2015-2021. Science of the Total Environment, in revision.
Han, W.#; He, T.-L.#; Zhu, R.; Jones, D. B. A.; Miyazaki, K.; Jiang, Z. The capability of deep learning model to predict ozone across continents in China, the United States and Europe, Geophysical Research Letters, in revision.
- He, T.-L.; Boyd, R.; Varon, D.; Turner, A. Space-borne assessment of the Soviet Union collapse on the methane slowdown. in prep.
- He, T.-L.#; Dadeech, N.#; Turner, A. FootNet: a deep learning emulator of source-receptor footprints for computationally efficient flux inversions. in prep.
2023
- Chen, X.; et al. Data- and model-based urban O3 responses to NOx changes in China and the United States. Journal of Geophysical Research: Atmospheres, in press.
2022
Zemskova, V. E.; He, T.-L.; Wan, Z.; Grisouard, N. A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage. Nature Communications 13, 4056 (2022).
preprint@EarthArXiv, GitHub.He, T.-L.; Jones, D. B. A.; Miyazaki, K.; Bowman, K. W.; Jiang, Z.; Chen, X; Li, R.; Zhang, Y. Inverse modeling of Chinese NOx emissions using deep learning: Integrating in situ observations with a satellite-based chemical reanalysis. Atmospheric Chemistry and Physics, 2022.
Han, W.#; He, T.-L.#; Tang, Z.; Wang, M.; Jones, D. B. A.; Jiang, Z. A comparative analysis for deep learning and Kalman Filter to predict CO in China. Geoscientific Model Development, 2022.
He, T.-L.; Jones, D. B. A.; Huang, B.; Liu, Y.; Miyazaki, K.; Jiang, Z.; White, E. C.; Worden, H. M.; Worden, J. R.. Deep learning to evaluate US NOx emissions using surface ozone predictions. Journal of Geophysical Research: Atmospheres, 2022.
preprint@arXiv; preprint@ESSOAr
Before 2022
Khade, V.; Polavarapu, S. M.; Neish, M.; Houtekamer, P. L.; Jones, D. B. A.; Baek, S.-J.; He, T.-L.; Gravel, S.. The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0) : demonstration with simulated CO observations. Geoscientific Model Development, 2020.
Hedelius, J. K.; He, T.-L.; Jones, D. B. A.; Baier, B. C.; Buchholz, R. R.; De Mazière, M.; Deutscher, N. M.; Dubey, M. K.; Feist, D. G.; Griffith, D. W. T.; Hase, F.; Iraci, L. T.; Jeseck, P.; Kiel, M.; Kivi, R.; Liu, C.; Morino, I.; Notholt, J.; Oh, Y.-S.; Ohyama, H.; Pollard, D. F.; Rettinger, M.; Roche, S.; Roehl, C. M.; Schneider, M.; Shiomi, K.; Strong, K.; Sussmann, R.; Sweeney, C.; Té, Y.; Uchino, O.; Velazco, V. A.; Wang, W.; Warneke, T.; Wennberg, P. O.; Worden, H. M.; Wunch, D.. Evaluation of MOPITT Version 7 joint TIR–NIR XCO retrievals with TCCON. Atmospheric Measurement Techniques, 12, 5547–5572, 2019.