Articles | Volume 28, issue 4
https://doi.org/10.5194/npg-28-501-2021
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, Julia Pongratz, and Christian H. Reick

Viewed

Total article views: 3,272 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,438 769 65 3,272 49 35
  • HTML: 2,438
  • PDF: 769
  • XML: 65
  • Total: 3,272
  • BibTeX: 49
  • EndNote: 35
Views and downloads (calculated since 19 Mar 2021)
Cumulative views and downloads (calculated since 19 Mar 2021)

Viewed (geographical distribution)

Total article views: 3,272 (including HTML, PDF, and XML) Thereof 3,141 with geography defined and 131 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
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.