Valérian Jacques-Dumas, Henk A. Dijkstra, Christian Kuehn
{"title":"Resilience of the Atlantic Meridional Overturning Circulation","authors":"Valérian Jacques-Dumas, Henk A. Dijkstra, Christian Kuehn","doi":"arxiv-2407.04740","DOIUrl":null,"url":null,"abstract":"We address the issue of resilience of the Atlantic Meridional Overturning\nCirculation (AMOC) given the many indications that this dynamical system is in\na multi-stable regime. A novel approach to resilience based on rare event\ntechniques is presented which leads to a measure capturing `resistance to\nchange` and `ability to return' aspects in a probabilistic way. The application\nof this measure to a conceptual model demonstrates its suitability for\nassessing AMOC resilience but also shows its potential use in many other\nnon-autonomous dynamical systems. This framework is then extended to compute\nthe probability that the AMOC undergoes a transition conditioned on an external\nforcing. Such conditional probability can be estimated by exploiting the\ninformation available when computing the resilience of this system. This allows\nus to provide a probabilistic view on safe operating spaces by defining a\nconditional safe operating space as a subset of the parameter space of the\n(possibly transient) imposed forcing.","PeriodicalId":501065,"journal":{"name":"arXiv - PHYS - Data Analysis, Statistics and Probability","volume":"77 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Data Analysis, Statistics and Probability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.04740","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We address the issue of resilience of the Atlantic Meridional Overturning
Circulation (AMOC) given the many indications that this dynamical system is in
a multi-stable regime. A novel approach to resilience based on rare event
techniques is presented which leads to a measure capturing `resistance to
change` and `ability to return' aspects in a probabilistic way. The application
of this measure to a conceptual model demonstrates its suitability for
assessing AMOC resilience but also shows its potential use in many other
non-autonomous dynamical systems. This framework is then extended to compute
the probability that the AMOC undergoes a transition conditioned on an external
forcing. Such conditional probability can be estimated by exploiting the
information available when computing the resilience of this system. This allows
us to provide a probabilistic view on safe operating spaces by defining a
conditional safe operating space as a subset of the parameter space of the
(possibly transient) imposed forcing.