Articles | Volume 28, issue 4
Nonlin. Processes Geophys., 28, 501–532, 2021
https://doi.org/10.5194/npg-28-501-2021
Nonlin. Processes Geophys., 28, 501–532, 2021
https://doi.org/10.5194/npg-28-501-2021
Research article
14 Oct 2021
Research article | 14 Oct 2021

Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 1: Method development and toy model demonstration

Guilherme L. Torres Mendonça et al.

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Latest update: 07 Dec 2022
Short summary
Linear response functions are a powerful tool to both predict and investigate the dynamics of a system when subjected to small perturbations. In practice, these functions must often be derived from perturbation experiment data. Nevertheless, current methods for this identification require a tailored perturbation experiment, often with many realizations. We present a method that instead derives these functions from a single realization of an experiment driven by any type of perturbation.