Dr. Yu Huang

I am a Postdoc based in the Earth System Modelling Group of Prof. Niklas Boers. I obtained my PhD in Meteorology at Peking University. I am a Humboldtian by Humboldt Research Fellowship since 2022.

I focus on climate dynamics in the context of global warming, trying to understand and predict climate regarding to the extremes' occurrences, critical transitions, forcing-response causality under anthropogenic radiative forcing.

I am drawn to the cutting-edge methodologies in stochastic and dynamical approaches, such as deep learning, nonlinear time series analysis, causality detection, complex network, Normal Mode Function, and dynamical systems theory. The advancements and applications of these techniques hold great appeal to me as they contribute significantly to enhancing climate research.

My current research project is predicting climate changes and critical transitions based on the combination of physical climate models and deep learning.

--- Prediction of abrupt transitions ---

Huang Y*, Bathiany S, Ashwin P, Boers N. Deep learning for predicting rate-induced tipping. Nature Machine Intelligence. 2024, 6(12):1556-65. (accomplished in TUM and PIK)

--- Recurrent synchronization patterns of extreme weather events ---

Wang M⁺, Huang Y⁺*, Franzke CL, Yuan N, Fu Z, Boers N. Evidence for preferred propagating terrestrial heatwave pathways due to Rossby wave activity. Nature Communications. 2025, 16(1):4742. (accomplished in TUM and PIK)

Li K, Huang Y, Liu K, Wang M, Cai F, Zhang J, Boers N. Key propagation pathways of extreme precipitation events revealed by climate networks. npj Climate and Atmospheric Science. 2024, 7(1):165. (accomplished in TUM and PIK)

--- Causal inference in climatic data ---

Huang Y, Fu Z, Franzke CL. Detecting causality from time series in a machine learning framework. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2020, 30(6). 

Yu S, Huang Y, Fu Z. Detecting extreme event-driven causality. Chaos, Solitons & Fractals. 2025, 200:117138. (accomplished in TUM and PIK)

Huang Y, Yang L, Fu Z. Reconstructing coupled time series in climate systems using three kinds of machine-learning methods. Earth System Dynamics. 2020, 11(3):835-53.

Huang Y, Franzke CL, Yuan N, Fu Z. Systematic identification of causal relations in high-dimensional chaotic systems: application to stratosphere-troposphere coupling. Climate Dynamics. 2020, 55(9):2469-81.

Huang Y, Yuan N, Shi M, Lu Z, Fu Z. On the air‐sea couplings Over tropical Pacific: an instantaneous coupling index using dynamical systems metrics. Geophysical Research Letters. 2022, 49(2):e2021GL097049.

Please see Yu Huang | ResearchGate and ‪‪Yu Huang‬ - ‪Google Scholar for more details.