Jun Meng
Institute of Atmospheric Physics, Chinese Academy of Sciences · Associate Researcher
Research Interests
His research lies at the intersection of systems science and Earth science. Following the central thread of structure, evolution, prediction, and physical theory, he has developed a multidisciplinary research framework and achieved a series of results in identifying relational structures within climate systems, explaining the emergence mechanisms of large-scale climate phenomena, and climate prediction. As first or corresponding author, he has published more than 30 papers in journals including Nat. Commun., Natl. Sci. Rev., PNAS, Phys. Rev. Lett., Commun. Earth Environ., and J. Clim., spanning physics, Earth science, mathematics, and systems science.
Education
- 2011.09-2014.07 Ph.D. in Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences
- 2009.09-2011.07 M.Sc. in Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences
- 2005.09-2009.07 B.Sc. in Applied Physics, Shandong University
Professional Experience
- 2025.01-Present Associate Researcher, State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences
- 2020.11-2024.12 Researcher, School of Science, Beijing University of Posts and Telecommunications
Postdoctoral Experience
- 2018.08-2020.09 Potsdam Institute for Climate Impact Research, Germany
- 2015.11-2018.08 Bar-Ilan University, Israel
- 2014.07-2015.11 Institute of Physics, Chinese Academy of Sciences
Research Projects
- NSFC General Program: Critical ENSO behavior and climate tipping-point cascade effects under climate change, 2026-2029, Principal Investigator
- NSFC Young Scientists Fund (Category C): Global teleconnections of Arctic sea ice based on statistical physics methods, 2023-2025, Principal Investigator
- National Key R&D Program: Artificial-intelligence-based strongly coupled data assimilation techniques, 2025-2030, Participant
Selected Publications
- Jun Meng, Jingfang Fan, Uma S. Bhatt, Jürgen Kurths. Arctic weather variability and connectivity. Nature Communications, 2023, 14(1): 6574.
- Jun Meng, Deliang Chen. The domino effect of climate tipping points: a multidisciplinary perspective on global risks. National Science Review, 2026.
- Guanghao Ran, Jun Meng, Jingfang Fan. Tropical monsoon rainfall can be predicted with lead times up to 10 months. Communications Earth & Environment, 2025, 6(1).
- Zejing Zhang, Jun Meng, Zhongpu Qiu, et al. Enhancing the predictability limits of ENSO with physics-guided deep echo state networks. npj Climate and Atmospheric Science, 2026.
- Jingfang Fan, Jun Meng, Josef Ludescher, et al. Statistical physics approaches to the complex Earth system. Physics Reports, 2021, 896: 1-94.
- Jun Meng, Jingfang Fan, Yosef Ashkenazy, Shlomo Havlin. Percolation framework to describe El Niño conditions. Chaos, 2017, 27(3): 035807.
- Jingfang Fan, Jun Meng, Yosef Ashkenazy, Shlomo Havlin, Hans Joachim Schellnhuber. Network analysis reveals strongly localized impacts of El Niño. PNAS, 2017, 114(29).
- Jun Meng, Jingfang Fan, Yosef Ashkenazy, Armin Bunde, Shlomo Havlin. Forecasting the magnitude and onset of El Niño based on climate network. New Journal of Physics, 2018, 20(4): 043036.
- Jingfang Fan, Jun Meng, Yosef Ashkenazy, Shlomo Havlin, Hans Joachim Schellnhuber. Climate network percolation reveals the expansion and weakening of the tropical component under global warming. PNAS, 2018, 115(52): E12128.
- Jun Meng, Jingfang Fan, Josef Ludescher, et al. Complexity-based approach for El Niño magnitude forecasting before the spring predictability barrier. PNAS, 2020, 117(1).