activity
20142026
most citedStochastic Parameterization: Towards a new view of Weather and Climate Models

431 citations · 681 across the 20 of their papers we have counts for

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16 papers · 1 filter

hep-th2026

Charged Deformation of a Hairy Black Brane: Perturbative Solution and Thermodynamics

Sangheon Yun

We study electrically charged black branes in four-dimensional Einstein-Maxwell-scalar theory with Maxwell coupling , whose potential has an AdS fixed point…

math.DS2026

A Response Theory Probe for Learned Stochastic AI Simulators, Tested on Lorenz-63

João Böger, Simon Driscoll, Niccolò Zagli +2

Machine-learning emulators of chaotic and stochastic systems are usually validated on forecast skill and long-run statistics. Neither certifies that an emulator responds correctly…

math.PR2026

Linear Response Theory for Jump-Driven Stochastic Systems: Transient Statistics and Escape Dynamics

Qingyan Meng, Jinqiao Duan, Valerio Lucarini

In this paper, we develop a linear response theory for a class of stochastic differential equations driven by jump processes. We investigate the response of the system to small tim…

math-ph2026

Ruelle--Pollicott Theory for Metastable Systems: A Unified Framework for Tipping Transitions

Mickaël D. Chekroun, Valerio Lucarini

Tipping points---abrupt, potentially irreversible reorganizations of a system's statistical state---are commonly anticipated through critical slowing down: recovery slows, autocorr…

nlin.CD2026

Koopman early warning signals for bifurcation and rate-induced tipping

Juan Nathaniel, Carla Roesch, Derek DeSantis +5

Abrupt transitions in complex systems are often preceded by early warning signals. However, most indicators rely on the notion of critical slowing down and do not generally extend…

math-ph2026

Beyond Critical Slowing Down: Slow Modes, Extreme Tails, and Field Decoherence in Tipping Transitions

Mickaël D. Chekroun, Valerio Lucarini

Tipping transitions are abrupt reorganizations between statistical regimes, usually anticipated through critical slowing down: recovery slows, autocorrelation and variance rise, an…

math.DS2026

Ulam Approximation for Nonautonomous Systems: Equivariant Measures and Linear Response

Stefano Galatolo, Valerio Lucarini, Isaia Nisoli

Despite the prevalence of nonautonomous systems in applications, their statistical properties are much less understood than in the autonomous setting. Building on recent results on…

physics.ao-ph2026

Climate network characterization of the AMOC edge state

Laure Moinat, Reyk Börner, Valerio Lucarini +2

The Atlantic Meridional Overturning Circulation (AMOC) has been identified as a tipping element in the Earth system. Under the current climate change scenarios, it is urgent to dev…

physics.ao-ph2026

A mathematical framework for dynamic emergent constraints in climate science

Francesco Ragone, Valerio Lucarini

Emergent constraints in climate science are empirical relations that link the response to a forcing of a physical observable to the properties of other observables, with the aim of…

cond-mat.stat-mech2026

Data-driven analysis of metastability in a stochastic bistable system

Ankan Banerjee, Manuel Santos Gutierrez, John Moroney +1

We present a methodology to analyze metastable properties of a simple prototypical stochastic bistable system by identifying slow inter-well and fast saddle escape processes using…

math.AP2026

Comparison principles and long time behavior for a diffusive Energy Balance Model with vertical resolution

Piermarco Cannarsa, Valerio Lucarini, Patrick Martinez +2

We study a two-layer one-dimensional energy balance model, which allows for vertical energy exchanges between a surface layer and the atmosphere, as well as meridional energy trans…

math.DS2026

Geometric early warning indicator from stochastic separatrix structure in a random two-state ecosystem model

Yuzhu Shi, Larissa Serdukova, Yayun Zheng +2

Under-ice blooms in the Arctic can develop rapidly under conditions where conventional early warning signals based on critical slowing down fail due to strong noise or limited obse…

nlin.CD2026

Nonequilibrium ensemble averages using nonlinear response relations

Manuel Santos-Gutierrez, Valerio Lucarini, John Moroney +1

The transient time correlation function (TTCF) method is widely used in molecular fluids to compute non-equilibrium transport quantities, providing improved signal-to-noise ratios…

math.DS2026

A Mathematical Framework for Linear Response Theory for Nonautonomous Systems

Stefano Galatolo, Valerio Lucarini

Linear response theory aims to predict how an additional forcing alters the statistical properties of a reference system. Such questions have been studied predominantly for autonom…

q-bio.PE2026

Tipping points in complex ecological systems

Alan Hastings, Sergei Petrovskii, Valerio Lucarini +1

Tipping points are one of the hot topics in the modern physics of complex systems. But what is a tipping point? One generic definition describes it as ``a state of the system where…

cond-mat.stat-mech2026

Linear Response and Optimal Fingerprinting for Nonautonomous Systems

Valerio Lucarini

We provide a link between response theory, pullback measures, and optimal fingerprinting method that paves the way for a) predicting the impact of acting forcings on time-dependent…