Colloqui di Fisica

Ciclo di Conferenze dei corsi di Laurea in Fisica e del Dipartimento di Matematica e Fisica

Comitato organizzatore: D. Meloni, F. La Franca, L. Lupi, S. Lauro, G. Salamanna, F. Paolucci

Edizione 2026

 Colloqui in programma

Silvia Pascoli

Università di Bologna

27 marzo 2026 ore 14:00, Aula B

Link identifier #identifier__155554-1image 145661
Distribution of daily global surface air temperature anomalies (°C) relative to 1991–2020 for each year from 1940 to 2025. Selected important climate events have been annotated. Data source: ERA5. Credit: C3S/ECMWF. Visualisation inspired by the work of Erwan Rivault (BBC).

Carlo Buontempo

Director of Copernicus Climate Change Service (C3S) at ECMWF

The Climate System as an Inverse Problem: Data Assimilation, Reanalysis and the Future of Climate Intelligence

Locandina – 2 aprile 2026 ore 14:00, Aula B

Understanding the evolution of the climate system can be viewed as one of the most ambitious inverse problems in contemporary physics: reconstructing the state of a complex, nonlinear, forced dynamical system from sparse, indirect and heterogeneous observations. The European Centre for Medium-Range Weather Forecasts (ECMWF) is an intergovernmental organisation at the forefront of numerical weather prediction, Earth-system modelling and high-performance computing, and operates the Copernicus Climate Change Service (C3S) on behalf of the European Union.
This lecture will present the scientific foundations and operational architecture of C3S, with a particular focus on the central role of observations and reanalysis. Reanalysis combines physical models with data assimilation techniques to produce a dynamically consistent reconstruction of the past climate, providing a global reference dataset widely used in research, policy and industry. The talk will illustrate how this chain — from measurements to climate intelligence — transforms physical observations into actionable knowledge about the Earth system.
The lecture will conclude by discussing three major open challenges at the frontier of the field: the integration of artificial intelligence into data assimilation for next-generation reanalyses, the generation of physically consistent counterfactual climate histories, and the problem of forecasting climate states that lie outside the range of past observations. These challenges highlight how climate science increasingly sits at the intersection of statistical physics, nonlinear dynamics and high-dimensional inference.

Roberto Raimondi

Maggio 2026
Dipartimento di Matematica e Fisica, Roma Tre

Manuela Magliocchetti

Giugno 2026
INAF

Francesco Tafuri

Luglio 2026
Federico II di Napoli

Alba Formicola

Novembre 2026
Sapienza

 

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