Predicting solar wind streams from the inner-heliosphere to Earth via shifted operator inference

DOI10.1016/j.jcp.2022.111689OpenAlexW4307054684MaRDI QIDQ2106904

Boris Kramer, Opal Issan

Publication date: 29 November 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2203.13372

zbMATH Keywords

magnetohydrodynamicsdata-driven model reductionoperator inferencescientific machine learningsolar wind modelingspace weather prediction

Mathematics Subject Classification ID

Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Approximations and expansions (41Axx) Model systems in control theory (93Cxx)

Related Items

Canonical and noncanonical Hamiltonian operator inference ⋮ gLaSDI: parametric physics-informed greedy latent space dynamics identification ⋮ Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds ⋮ Space-Weather-ROM

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