Cover Image

A data-driven framework for dimensionality reduction and causal inference in climate fields

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Falasca, Fabrizio, Perezhogin, Pavel, Zanna, Laure
Format:	Preprint
Published:	2023
Subjects:	Atmospheric and Oceanic Physics Statistical Mechanics Chaotic Dynamics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Physics and causally constrained discrete-time neural models of turbulent dynamical systems
by: Falasca, Fabrizio, et al.
Published: (2026)

Probing forced responses and causality in data-driven climate emulators: conceptual limitations and the role of reduced-order models
by: Falasca, Fabrizio
Published: (2025)

A fluctuation-dissipation theorem perspective on radiative responses to temperature perturbations
by: Falasca, Fabrizio, et al.
Published: (2024)

A mathematical framework for dynamic emergent constraints in climate science
by: Ragone, Francesco, et al.
Published: (2026)

Limits to predictability of the asymptotic state of the Atlantic Meridional Overturning Circulation in a conceptual climate model
by: Mehling, Oliver, et al.
Published: (2023)

Thermodynamics and Statistical Equilibrium of Large-Scale Hydroelastic Wave Turbulence
by: Vernet, Marlone, et al.
Published: (2025)

Collapse of statistical equilibrium in large-scale hydroelastic turbulent waves
by: Vernet, Marlone, et al.
Published: (2026)

Heterogeneity of the Attractor of the Lorenz '96 Model: Lyapunov Analysis, Unstable Periodic Orbits, and Shadowing Properties
by: Maiocchi, Chiara Cecilia, et al.
Published: (2023)

Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence
by: Darman, Moein, et al.
Published: (2025)

Linear Response and Optimal Fingerprinting for Nonautonomous Systems
by: Lucarini, Valerio
Published: (2026)

Tipping detection using climate networks
by: Moinat, Laure, et al.
Published: (2024)

Constructing efficient score functions for rare event simulation in high-dimensional ocean-climate models
by: Esclapez, Lucas, et al.
Published: (2026)

Multifractal and recurrence measures from meteorological data of climate zones in India
by: Bejoy, Joshin John, et al.
Published: (2023)

Long-window tandem variational data assimilation methods for chaotic climate models tested with the Lorenz 63 system
by: Kennedy, Philip David, et al.
Published: (2024)

A stable implementation of a data-driven scale-aware mesoscale parameterization
by: Perezhogin, Pavel, et al.
Published: (2023)

Quantifying the safe operating space for the Amazon rainforest under climate change and deforestation
by: Krönke, Jonathan, et al.
Published: (2026)

Recurrence analysis of meteorological data from climate zones in India
by: Bejoy, Joshin John, et al.
Published: (2023)

Alternative climatic steady states near the Permian-Triassic Boundary
by: Ragon, Charline, et al.
Published: (2024)

Generative data-driven approaches for stochastic subgrid parameterizations in an idealized ocean model
by: Perezhogin, Pavel, et al.
Published: (2023)

Multistability and Intermediate Tipping of the Atlantic Ocean Circulation
by: Lohmann, Johannes, et al.
Published: (2023)

Gray Swan Factory: Making Extreme Events from Ordinary Cyclones
by: Hakim, Gregory J., et al.
Published: (2026)

Gibbs states and Brownian models for coexisting haze and cloud droplets
by: Gutiérrez, Manuel Santos, et al.
Published: (2024)

Causal dependencies and Shannon entropy budget -- Analysis of a reduced order atmospheric model
by: Vannitsem, Stéphane, et al.
Published: (2024)

Melancholia States of the Atlantic Meridional Overturning Circulation
by: Lohmann, Johannes, et al.
Published: (2024)

Forecasting seasonal rainfall in SE Australia using Empirical Orthogonal Functions and Neural Networks
by: Marcelja, Stjepan
Published: (2024)

Dynamical regimes of CCN activation in adiabatic air parcels
by: Gutiérrez, Manuel Santos, et al.
Published: (2024)

Long-term prediction of ENSO with physics-guided Deep Echo State Networks
by: Zhang, Zejing, et al.
Published: (2026)

Contrasting different noise models for representing westerly wind bursts in a recharge oscillator model of ENSO
by: Gottwald, Georg A., et al.
Published: (2025)

Winter forecasting of September/October rainfall
by: Marcelja, Stjepan
Published: (2026)

Topological Structure of the Cyclonic-Anticyclonic Interactions
by: Yadav, Himanshu, et al.
Published: (2025)

Predictability of Global AI Weather Models
by: Kieu, Chanh
Published: (2024)

Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computing
by: Koyama, Shihori, et al.
Published: (2024)

Testing the consistency of the resonant wave interaction approximation with simulated dynamics of idealized 2D internal wave fields
by: Bel, Golan, et al.
Published: (2022)

Regime change detection in irregularly sampled time series
by: Marwan, Norbert, et al.
Published: (2024)

Nonlinear interactions between the Amazon River basin and the Tropical North Atlantic at interannual timescales
by: Builes-Jaramillo, Alejandro, et al.
Published: (2025)

Building transport models from baroclinic wave experimental data
by: Agaoglou, M., et al.
Published: (2024)

DIRESA, a distance-preserving nonlinear dimension reduction technique based on regularized autoencoders
by: De Paepe, Geert, et al.
Published: (2024)

Two-dimensional turbulent condensates without bottom drag
by: van Kan, Adrian, et al.
Published: (2025)

A statistical physics and dynamical systems perspective on geophysical extreme events
by: Faranda, Davide, et al.
Published: (2023)

Generalizable neural-network parameterization of mesoscale eddies in idealized and global ocean models
by: Perezhogin, Pavel, et al.
Published: (2025)