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• 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)

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

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

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).