Prof. Jin-Song Von Storch | Theoretical Advances | Research Excellence Award 

Max-Planck Institute for Meteorology | Germany

Prof. Jin-Song von Storch is a senior climate scientist whose research focuses on the fundamental dynamics, variability, and predictability of the climate system, with particular emphasis on ocean–atmosphere interactions, climate energetics, and the role of stochastic processes in climate dynamics. Her work bridges theory, numerical modeling, and diagnostics of high-resolution Earth system simulations, contributing substantially to the physical understanding of climate variability across temporal and spatial scales. A central theme of her research is the energetics of the ocean and climate system, including the Lorenz Energy Cycle, energy pathways from large-scale circulation to internal waves, and the role of mesoscale and submesoscale processes. She has made pioneering contributions to quantifying how wind forcing, tides, and internal waves transfer energy within the ocean and influence large-scale circulations such as the Atlantic Meridional Overturning Circulation (AMOC). Her work has clarified how resolving ocean eddies and tides alters the climate system’s response to external forcing, including greenhouse gas increases. Another major strand of her research addresses air–sea interactions and climate variability, particularly the dependence of coupling processes on temporal and spatial scales. She has contributed key insights into how vertical mixing, surface flux fluctuations, and coupling frequency shape climate sensitivity, predictability, and variability. Her studies on equilibrium fluctuations and integral forcing provide a theoretical framework for interpreting variability in complex climate models and linking stochastic forcing to low-frequency climate behavior. Jin-Song von Storch has played a leading role in the development and application of high-resolution and eddy-rich Earth system models, including ICON-O, MPI-ESM, and EC-Earth. She has been deeply involved in international modeling efforts such as HighResMIP, PRIMAVERA, TRR181, and the Horizon Europe project EERIE, contributing to advances in kilometer-scale global simulations and their use for understanding climate processes and extremes. Her research has also addressed internal tides, near-inertial waves, and their implications for deep-ocean mixing and overturning circulation.

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