Dr Ying Chen PhD

Dr Ying Chen

School of Geography, Earth and Environmental Sciences
Assistant Professor in Atmospheric Science

Contact details

Email
y.chen.21@bham.ac.uk
Twitter
@YingCHEN_UK
View my research portal
Address
School of Geography, Earth and Environmental Sciences
University of Birmingham
Edgbaston
Birmingham
B15 2TT

Dr Ying Chen is an expert in climate change and air quality. His research aims to advance understanding of critical roles of aerosols and clouds in Earth climate for more reliable estimate of tipping points and remaining carbon emission budget. His research also exports interlinks between air pollution and climate change to advice policymakers for “win-win” mitigation strategies.

Qualifications

  • PhD in Atmospheric Science, Leipzig University (joint training in Leibniz Institute for Tropospheric Research and Max Planck Institute for Chemistry, 2017) ·
  • MSc in Atmospheric Science, Peking University (2009)
  • BSc, Nanjing University of Information Science and Technology (2006)

Teaching

Dr Ying Chen teaches into Birmingham’s MSc Air Pollution Management and Control.

Postgraduate supervision

Research interests: aerosol-cloud-climate interactions, air quality, sustainable energy, climate extremes and tipping points.
Please contact me if you are interested in studying for a PhD or applying postdoctoral Fellowships with the group. For more information see my research page at: https://sites.google.com/view/yingchen-group/
Email: y.chen.21@bham.ac.uk

Other activities

Invited talks:

  • 2023. “Distinguish aerosol’s fingerprint on clouds and climate using machine-learning”, Machine-Learning Seminar at the Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland.
  • 2023. “Distinguish aerosol’s fingerprint on clouds using volcano as a natural experiment”, online, German DFG Research Unit: VolImpact, Germany.
  • 2022. “Distinguish aerosol’s fingerprint on clouds and its relevant climate impact using machine-learning”, Max-Planck-Institute for Chemistry, Mainz, Germany.
  • 2022. “Use an unprecedented volcano as a natural experiment to distinguish aerosol’s fingerprint on clouds”, University of Tartu, Tartu, Estonia.
  • 2022. “Machine-learning improves understanding of Aerosol climate impacts”, Met Office, UK. 
  • 2022. “What volcanoes tell us about the potential efficacy of Marine Cloud Brighten” NCAR, virtual. 
  • 2021. “How can machine-learning help us improve climate models?” PNNL, US, virtual.
  • 2020. Invited keynote talk: “COVID’s influ. on Meteo.” Fontserè Conference on meteo. & climatology, Barcelona.
  • 2020. "Win-win mitigation strategy", Composition Climate Interactions Meeting, NCAS, UK.
  • 2019. "Air Pollution in Delhi, India", Department of Chemistry, Uni. of Cambridge, UK.  
  • 2019. "Air Pollution and its climate effect in Delhi, India", Institute of Atmospheric Physics, China.
  • 2019. "Impacts of Aerosol Hygros.: Chemistry, Observation & Climate", Uni. of Manchester, UK .
  • 2019. Co-organized the WRF-Chem Workshop of UK, Lancaster University, UK.

Reviewer and Editor:

  • Funding Review: Reviewer for NOAA ERB/AC4/CVP grants; Reviewer & Rapporteur for ATMO-ACCESS
  • Journal Reviewer: Nature, Nature Geosci., Nature Commu., BAMS, ES&T Lett., Environ. Int., GRL, Atmos. Chem. Phys., J. Geophys. Res., STOTEN, npj Clim. Atmos. Sci.., and etc.
  • Topic Editor of Frontiers in Environmental Science, “AI in climate and atmos. studies”.
  • Guest Editor of Atmosphere, Special Issue on “Study of Mitigation of PM2.5 and O3 Pollution”.

Conference Chair and Convenor: 

  • Chair, International Aerosol Conference 2022, Athens, session “Aerosol-Cloud Interactions”.

Memberships:

  • 2018 – present Member of AGU, USA (AGU)
  • 2016 – present Member of European Geosciences Union (EGU) 
  • 2020 – present Member of Royal Society of Chemistry, UK (RSC)
  • 2021 – present Member of “UK Met Office Data Science Network”

Granted Patents:

  • Chen Y., et al., Patent No.: CN102182629B, A wind power curtail evaluation method based on the wind real-time measurement, 2013 (China).
  • Chen Z.B., Chen Y., et al., Patent No.: CN103530508B, Method for establishing wind speed-power conversion probability model, 2017 (China).
  • Chen Z.B., Chen Y., et al., Patent No.: CN102938562B, Method for forecasting regional wind power, 2015 (China).
  • Cheng X., Chen Y., et al., Patent No.: CN102722760B, Method of regional scale solar power forecast, 2015 (CN).
  • Ding Y., Ding J., Zhou H., Cheng X., Chen Y., et al., Patent No.: CN103544679B, Ground cloud image distortion correction method for full sky imager, 2016 (China).
  • Wang N., Cheng X., Liu G., Zhou H., Ma Y., Cui F., Chen Y., et al., Patent No.: CN103245979B, Radiation resource monitoring system for large-scale solar power of million kilowatts, 2016 (China).

Publications

Highlight publications

Chen, Y, Haywood, J, Wang, Y, Malavelle, F, Jordan, G, Partridge, D, Fieldsend, J, Leeuw, JD, Schmidt, A, Cho, N, Oreopoulos, L, Platnick, S, Grosvenor, D, Field, P & Lohmann, U 2022, 'Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover', Nature Geoscience, vol. 15, no. 8, pp. 609–614. https://doi.org/10.1038/s41561-022-00991-6

Chen, Y, Wang, Y, Nenes, A, Wild, O, Song, S, Hu, D, Liu, D, He, J, Hildebrandt Ruiz, L, Apte, JS, Gunthe, SS & Liu, P 2022, 'Ammonium Chloride Associated Aerosol Liquid Water Enhances Haze in Delhi, India', Environmental Science & Technology, vol. 56, no. 11, pp. 7163-7173. https://doi.org/10.1021/acs.est.2c00650

Chen, Y, Wild, O, Ryan, E, Sahu, SK, Lowe, D, Archer-Nicholls, S, Wang, Y, Mcfiggans, G, Ansari, T, Singh, V, Sokhi, RS, Archibald, AT & Beig, G 2020, 'Mitigation of PM2.5 and ozone pollution in Delhi: A sensitivity study during the pre-monsoon period', Atmospheric Chemistry and Physics. https://doi.org/10.5194/acp-20-499-2020

Gunthe, SS, Liu, P, Panda, U, Raj, SS, Sharma, A, Darbyshire, E, Reyes-Villegas, E, Allan, J, Chen, Y, Wang, X, Song, S, Pöhlker, ML, Shi, L, Wang, Y, Kommula, SM, Liu, T, Ravikrishna, R, Mcfiggans, G, Mickley, LJ, Martin, ST, Pöschl, U, Andreae, MO & Coe, H 2021, 'Enhanced aerosol particle growth sustained by high continental chlorine emission in India', Nature Geoscience, vol. 14, no. 2, pp. 77–84. https://doi.org/10.1038/s41561-020-00677-x

Wang, Y & Chen, Y 2019, 'Significant Climate Impact of Highly Hygroscopic Atmospheric Aerosols in Delhi, India', Geophysical Research Letters. https://doi.org/10.1029/2019GL082339

Recent publications

Article

Lu, L, Li, L, Rathod, S, Hess, P, Martínez, C, Fernandez, N, Goodale, C, Thies, J, Wong, MY, Alaimo, MG, Artaxo, P, Barraza, F, Barreto, A, Beddows, D, Chellam, S, Chen, Y, Chuang, P, Cohen, DD, Dongarrà, G, Gaston, C, Gómez, D, Morera‐Gómez, Y, Hakola, H, Hand, J, Harrison, R, Hopke, P, Hueglin, C, Kuang, YW, Kyllönen, K, Lambert, F, Maenhaut, W, Martin, R, Paytan, A, Prospero, J, González, Y, Rodriguez, S, Smichowski, P, Varrica, D, Walsh, B, Weagle, C, Xiao, YH & Mahowald, N 2024, 'Characterizing the Atmospheric Mn Cycle and Its Impact on Terrestrial Biogeochemistry', Global Biogeochemical Cycles, vol. 38, no. 4, e2023GB007967. https://doi.org/10.1029/2023gb007967

Si, J, Zhang, L, Zhang, S, Li, Y, Zhang, Z, He, Z, Chen, Y & Zhan, H 2024, 'Response of air pollution to meteorological conditions and socioeconomic activities associated to the COVID-19 outbreak in the Yangtze River economic belt', Atmospheric Environment, vol. 323, 120390. https://doi.org/10.1016/j.atmosenv.2024.120390

Liu, L, He, G, Wu, M, Liu, G, Zhang, H, Chen, Y, Shen, J & Li, S 2023, 'Climate change impacts on planned supply–demand match in global wind and solar energy systems', Nature Energy, vol. 8, no. 8, pp. 870-880. https://doi.org/10.1038/s41560-023-01304-w

Liu, YC, Wu, ZJ, Qiu, YT, Tian, P, Liu, Q, Chen, Y, Song, M & Hu, M 2023, 'Enhanced Nitrate Fraction: Enabling Urban Aerosol Particles to Remain in a Liquid State at Reduced Relative Humidity', Geophysical Research Letters, vol. 50, no. 21, e2023GL105505. https://doi.org/10.1029/2023gl105505

Mogno, C, Palmer, PI, Marvin, MR, Sharma, S, Chen, Y & Wild, O 2023, 'Road transport impact on PM2.5 pollution over Delhi during the post-monsoon season', Atmospheric Environment: X, vol. 17, 100200. https://doi.org/10.1016/j.aeaoa.2022.100200

Reyes-Villegas, E, Lowe, D, Johnson, J, Carslaw, KS, Darbyshire, E, Flynn, M, Allan, JD, Coe, H, Chen, Y, Wild, O, Archer-Nicholls, S, Archibald, AT, Singh, S, Shrivastava, M, Zaveri, RA, Singh, V, Beig, G, Sokhi, R & Mcfiggans, G 2023, 'Simulating organic aerosol in Delhi with WRF-Chem using the volatility-basis-set approach: exploring model uncertainty with a Gaussian process emulator', Atmospheric Chemistry and Physics Discussions, vol. 23, no. 10, pp. 5763–5782. https://doi.org/10.5194/acp-23-5763-2023

Wang, J, Wang, S, Xu, X, Li, X, He, P, Qiao, Y & Chen, Y 2023, 'The diminishing effects of winter heating on air quality in northern China', Journal of Environmental Management, vol. 325, 116536. https://doi.org/10.1016/j.jenvman.2022.116536

Conibear, L, Reddington, CL, Silver, BJ, Chen, Y, Arnold, SR & Spracklen, DV 2022, 'Emission Sector Impacts on Air Quality and Public Health in China From 2010 to 2020', GeoHealth, vol. 6, no. 6, e2021GH000567. https://doi.org/10.1029/2021GH000567

Ojha, N, Soni, M, Kumar, M, Gunthe, SS, Chen, Y & Ansari, TU 2022, 'Mechanisms and Pathways for Coordinated Control of Fine Particulate Matter and Ozone', Current Pollution Reports, vol. 8, no. 4, pp. 594-604. https://doi.org/10.1007/s40726-022-00229-4

Wang, Y, Voliotis, A, Hu, D, Shao, Y, Du, M, Chen, Y, Kleinheins, J, Marcolli, C, Alfarra, MR & Mcfiggans, G 2022, 'On the evolution of sub- and super-saturated water uptake of secondary organic aerosol in chamber experiments from mixed precursors', Atmospheric Chemistry and Physics, vol. 22, no. 6, pp. 4149-4166. https://doi.org/10.5194/acp-22-4149-2022

Conibear, L, Reddington, CL, Silver, BJ, Chen, Y, Knote, C, Arnold, SR & Spracklen, DV 2022, 'Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China Using Machine Learning Emulation', GeoHealth, vol. 6, no. 6, e2021GH000570. https://doi.org/10.1029/2021GH000570

Wu, Y, Liu, D, Wang, X, Li, S, Zhang, J, Qiu, H, Ding, S, Hu, K, Li, W, Tian, P, Liu, Q, Zhao, D, Ma, E, Chen, M, Xu, H, Ouyang, B, Chen, Y, Kong, S, Ge, X & Liu, H 2021, 'Ambient marine shipping emissions determined by vessel operation mode along the East China Sea', Science of the Total Environment, vol. 769, 144713. https://doi.org/10.1016/j.scitotenv.2020.144713

Chen, Y, Beig, G, Archer-Nicholls, S, Drysdale, W, Acton, W, Lowe, D, Nelson, BS, Lee, JD, Ran, L, Wang, Y, Wu, Z, Sahu, SK, Sokhi, RS, Singh, V, Gadi, R, Hewitt, CNP, Nemitz, E, Archibald, A, McFiggins, G & Wild, O 2021, 'Avoiding high ozone pollution in Delhi, India', Faraday Discussions, vol. 226, pp. 502-514. https://doi.org/10.1039/D0FD00079E

Conibear, L, Reddington, CL, Silver, BJ, Chen, Y, Knote, C, Arnold, SR & Spracklen, DV 2021, 'Statistical Emulation of Winter Ambient Fine Particulate Matter Concentrations From Emission Changes in China', GeoHealth, vol. 5, no. 5, e2021GH000391. https://doi.org/10.1029/2021GH000391

Editorial

Chen, Y, Xu, W, He, J & Wang, Y 2023, 'Editorial: Machine learning in studies of atmospheric environment and climate change', Frontiers in Environmental Science, vol. 11, 1280733. https://doi.org/10.3389/fenvs.2023.1280733

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