Lecturer | Yangzhou University | China
Dr. Lianyi Guo is an emerging scholar in climate-system research whose work focuses on the attribution and projection of extreme climate change, with a strong emphasis on understanding nonlinear rainfall responses to large-scale atmospheric circulation patterns. With a growing research portfolio that includes leading or participating in eight national and provincial research projects, Guo has established a solid foundation in advancing methodologies for diagnosing climate extremes and improving future climate projections. His contributions include developing a novel analytical framework that bridges dynamic and thermodynamic processes to interpret changes in summer rainfall patterns, particularly across China, enabling more accurate attribution of observed hydrometeorological variations to anthropogenic influences. He has authored eight SCI-indexed journal articles, including publications in high-impact outlets, and his current citation record and h-index of 6 reflect a promising upward trajectory. Beyond publications, his engagement in two consultancy or industry-linked projects demonstrates an ability to translate scientific insight into practical climate-related applications. Guo’s collaborations across national research institutes further strengthen the interdisciplinary relevance of his work, supporting advances in climate diagnostics, model evaluation, and regional climate risk assessment. His ongoing studies aim to refine constraint-based projections of extreme rainfall, offering potential benefits for disaster preparedness, water-resource management, and climate-policy development. The scientific rigor, methodological innovation, and applicability of Guo’s research underline his significant contribution to the field and position him as a valuable contributor to global climate-science efforts, with strong potential for continued impact through high-quality publications, collaborative research, and the development of improved tools for understanding and predicting climate extremes.
Publications:
Guo, L., Shi, Y., & Zhao, Y. (2023). Future projections of extreme integrated water vapor transport and population exposure over the Asian monsoon region. Earth’s Future.
Guo, L., Jiang, Z., Li, L., & Wang, H. (2022). Increase of future summer rainfall in the middle and lower reach of the Yangtze River Basin projected with a nonhomogeneous hidden Markov model. Geophysical Research Letters.
Guo, L. (2022). Comparison of impact and water vapor characteristics between two types of floods in Eastern China. Environmental Research Letters.
Guo, L. (2020). Projected precipitation changes over China for global warming levels at 1.5 °C and 2 °C in an ensemble of regional climate simulations: Impact of bias-correction algorithms. Climatic Change.
Guo, L., Jiang, Z., Ding, M., Chen, W., & Li, L. (2019). Downscaling and projection of summer rainfall in Eastern China using a nonhomogeneous hidden Markov model. International Journal of Climatology.