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
Address
School of Geography, Earth and Environmental Sciences
University 麻豆精选
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, '', Nature Geoscience, vol. 15, no. 8, pp. 609鈥�614.

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, '', Environmental Science & Technology, vol. 56, no. 11, pp. 7163-7173.

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, '', Atmospheric Chemistry and Physics.

Gunthe, SS, Liu, P, Panda, U, Raj, SS, Sharma, A, Darbyshire, E, Reyes-Villegas, E, Allan, J, Chen, Y, Wang, X, Song, S, P枚hlker, ML, Shi, L, Wang, Y, Kommula, SM, Liu, T, Ravikrishna, R, Mcfiggans, G, Mickley, LJ, Martin, ST, P枚schl, U, Andreae, MO & Coe, H 2021, '', Nature Geoscience, vol. 14, no. 2, pp. 77鈥�84.

Wang, Y & Chen, Y 2019, '', Geophysical Research Letters.

Recent publications

Article

Chen, Y 2025, '', npj Clean Air, vol. 1, no. 1.

Schneider, MY, Jiang, J, Chen, Y, Aas, W, Atabakhsh, S, Aurela, M, Belis, C, Bougiatioti, A, Bressi, M, Canonaco, F, Chazeau, B, Chebaicheb, H, Ehn, M, Eleftheriadis, K, Favez, O, Flentje, H, Font, A, Freney, E, Gilardoni, S, Gini, MI, Green, DC, Heikkinen, L, Keernik, H, Lhotka, R, Lin, C, Maasikmets, M, Marchand, N, Minguill贸n, MC, Necki, J, Ovadnevaite, J, Paglione, M, Pauraite, J, Petit, J-E, Pikridas, M, Platt, S, Pokorn谩, P, Poluzzi, V, Poulain, L, Riffault, V, Rinaldi, M, Sciare, J, Sosedova, Y, Stavroulas, I, Timonen, H, Tobler, A, Vasilescu, J, Via, M, Vodi膷ka, P, Zhang, Y, Zografou, O, Daellenbach, KR, Upadhyay, A, Chen, GI, Manousakas, M-I, El Haddad, I & Pr茅v么t, ASH 2025, '', Environmental Pollution, vol. 385, 127110.

Upadhyay, A, Jiang, J, Cheng, Y, Vasilakos, P, Chen, Y, Banos, DT, Fl眉ckiger, B, Manousakas, MI, Pr茅v么t, ASH, Modini, RL, Campa, ASDL, Schemmel, A, Alastuey, A, Bergmans, B, Alves, CA, Hueglin, C, Colombi, C, Reche, C, S谩nchez-Rodas, D, Massab貌, D, Diapouli, E, Mazzei, F, Lucarelli, F, Uzu, G, Salma, I, Jaffrezo, J-L, Rosa, JDDL, Reusser, JE, Eleftheriadis, K, Alleman, LY, Scerri, M, Severi, M, Favez, O, Prati, P, Traversi, R, Vecchi, R, Becagli, S, Nava, S, Castillo, S, Darfeuil, S, Grange, SK, Querol, X, Kert茅sz, Z, Ciarelli, G, Probst-Hensch, N, Vienneau, D, Kuenen, J, Gon, HDVD, Daellenbach, KR, Krymova, E, Hoogh, KD & El-Haddad, I 2025, '', Environment International, vol. 202, 109615.

Jordan, G, Malavelle, F, Chen, Y, Peace, A, Duncan, E, Partridge, DG, Kim, P, Watson-Parris, D, Takemura, T, Neubauer, D, Myhre, G, Skeie, R, Laakso, A & Haywood, J 2024, '', Atmospheric Chemistry and Physics, vol. 24, no. 3, pp. 1939-1960.

Pan, B, Liu, D, Tian, P, Zhao, D, Du, Y, Li, S, Hu, K, Hu, D, Sun, B, Yu, C, Chen, Y, Li, W, Huang, M, Xu, H & You, S 2024, '', Geophysical Research Letters, vol. 51, no. 22, e2024GL109086.

Peace, AH, Chen, Y, Jordan, G, Partridge, DG, Malavelle, F, Duncan, E & Haywood, JM 2024, '', Atmospheric Chemistry and Physics, vol. 24, no. 16, pp. 9533-9553.

Wang, O, Liang, J, Gu, Y, Haywood, JM, Chen, Y, Fang, C & Wang, QG 2024, '', Atmospheric Chemistry and Physics, vol. 24, no. 21, pp. 12355-12373.

Graham, AM, Pope, RJ, Chipperfield, MP, Dhomse, SS, Pimlott, M, Feng, W, Singh, V, Chen, Y, Wild, O, Sokhi, R & Beig, G 2024, '', Atmospheric Chemistry and Physics, vol. 24, no. 2, pp. 789-806.

Si, J, Zhang, L, Zhang, S, Li, Y, Zhang, Z, He, Z, Chen, Y & Zhan, H 2024, '', Atmospheric Environment, vol. 323, 120390.

Chen, Y, Haywood, J, Wang, Y, Malavelle, F, Jordan, G, Peace, A, Partridge, DG, Cho, N, Oreopoulos, L, Grosvenor, D, Field, P, Allan, RP & Lohmann, U 2024, '', Nature Geoscience, vol. 17, no. 5, pp. 404-410.

Liu, L, He, G, Wu, M, Liu, G, Zhang, H, Chen, Y, Shen, J & Li, S 2023, '', Nature Energy, vol. 8, no. 8, pp. 870-880.

Liu, YC, Wu, ZJ, Qiu, YT, Tian, P, Liu, Q, Chen, Y, Song, M & Hu, M 2023, '', Geophysical Research Letters, vol. 50, no. 21, e2023GL105505.

Fang, C, Haywood, JM, Liang, J, Johnson, BT, Chen, Y & Zhu, B 2023, '', Atmospheric Chemistry and Physics, vol. 23, no. 14, pp. 8341-8368.

Mogno, C, Palmer, PI, Marvin, MR, Sharma, S, Chen, Y & Wild, O 2023, '', Atmospheric Environment: X, vol. 17, 100200.

Editorial

Chen, Y, Xu, W, He, J & Wang, Y 2023, '', Frontiers in Environmental Science, vol. 11, 1280733.