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Attribution of Weather Extremes events to Climate Change - ClimaMeter

My contributions in this field of research focus on understanding the relationship between extreme climate events and the processes that modify their dynamics in the context of climate change. I am particularly interested in cold and snowy spells, heatwaves, and extreme convective events. Using techniques based on the concept of atmospheric analogues, we have analysed a wide range of extreme events worldwide with the methodologies we have developed.

Climameter is an international scientific initiative providing near-real-time attribution analyses of extreme weather events. I am the coordinator of Climameter, overseeing the development of the methodologies and the scientific workflow. The initiative combines state-of-the-art climate data with statistical approaches based on atmospheric circulation analogues to assess how climate change influences the intensity and likelihood of extreme events. The interactive map below shows all the events that have been attributed so far.

Critical Phenomena in Climate & Complex Systems

The understanding of the mechanism regulating the transitions between different metastable states in complex systems is a general problem in statistical mechanics. Systems which feature critical phenomena range from turbulence, spin glasses up to finance, the climate system and epidemiology. I have been involved in the development of rigorous statistical methods for identifying transition thresholds in experimental data and in modeling systems at bifurcation points through approaches that combine statistics and physics through stochastic process theory.

Dynamical Systems methods for the analysis of Turbulent and Geophysical flows

Providing a statistical description of turbulence, by combining theoretical findings with high quality experimental datasets, is helping in understanding several features of turbulent flows as the dissipation anomaly or the existence of singularities in the Navier Stokes equations. I have then exported such analyses in the field of weather extreme phenomena to diagnose energy transfers. I am actually contributing to this research field by developing techniques based on the combination of Extreme Value Theory and dynamical systems analyses which allows for quantify the distance between observations and theoretical models in a rich model-parameter space, which allows to describe complex phenomena such as geomagnetic storms.

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