<i>π</i>-theorem generalization of the ice-age theory

<p>Analyzing a dynamical system describing the global climate variations requires, in principle, exploring a large space spanned by the numerous parameters involved in this model. Dimensional analysis is traditionally employed to deal with equations governing physical phenomena to reduce the n...

Full description

Bibliographic Details
Main Authors: M. Y. Verbitsky, M. Crucifix
Format: Article
Language:English
Published: Copernicus Publications 2020-03-01
Series:Earth System Dynamics
Online Access:https://www.earth-syst-dynam.net/11/281/2020/esd-11-281-2020.pdf
id doaj-df9988cb542b41ab9a63b2ebfc42adac
record_format Article
spelling doaj-df9988cb542b41ab9a63b2ebfc42adac2020-11-25T02:52:32ZengCopernicus PublicationsEarth System Dynamics2190-49792190-49872020-03-011128128910.5194/esd-11-281-2020<i>π</i>-theorem generalization of the ice-age theoryM. Y. Verbitsky0M. Y. Verbitsky1M. Crucifix2Gen5 Group, LLC, Newton, MA, USAUCLouvain, Earth and Life Institute, Louvain-la-Neuve, BelgiumUCLouvain, Earth and Life Institute, Louvain-la-Neuve, Belgium<p>Analyzing a dynamical system describing the global climate variations requires, in principle, exploring a large space spanned by the numerous parameters involved in this model. Dimensional analysis is traditionally employed to deal with equations governing physical phenomena to reduce the number of parameters to be explored, but it does not work well with dynamical ice-age models, because, as a rule, the number of parameters in such systems is much larger than the number of independent dimensions. Physical reasoning may, however, allow us to reduce the number of effective parameters and apply dimensional analysis in a way that is insightful. We show this with a specific ice-age model (Verbitsky et al., 2018), which is a low-order dynamical system based on ice-flow physics coupled with a linear climate feedback. In this model, the ratio of positive-to-negative feedback is effectively captured by a dimensionless number called the “<span class="inline-formula"><i>V</i></span> number”, which aggregates several parameters and, hence, reduces the number of governing parameters. This allows us to apply the central theorem of the dimensional analysis, the <span class="inline-formula"><i>π</i></span> theorem, efficiently. Specifically, we show that the relationship between the amplitude and duration of glacial cycles is governed by a property of scale invariance that does not depend on the physical nature of the underlying positive and negative feedbacks incorporated by the system. This specific example suggests a broader idea; that is, the scale invariance can be deduced as a general property of ice age dynamics if the latter are effectively governed by a single ratio between positive and negative feedbacks.</p>https://www.earth-syst-dynam.net/11/281/2020/esd-11-281-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author M. Y. Verbitsky
M. Y. Verbitsky
M. Crucifix
spellingShingle M. Y. Verbitsky
M. Y. Verbitsky
M. Crucifix
<i>π</i>-theorem generalization of the ice-age theory
Earth System Dynamics
author_facet M. Y. Verbitsky
M. Y. Verbitsky
M. Crucifix
author_sort M. Y. Verbitsky
title <i>π</i>-theorem generalization of the ice-age theory
title_short <i>π</i>-theorem generalization of the ice-age theory
title_full <i>π</i>-theorem generalization of the ice-age theory
title_fullStr <i>π</i>-theorem generalization of the ice-age theory
title_full_unstemmed <i>π</i>-theorem generalization of the ice-age theory
title_sort <i>π</i>-theorem generalization of the ice-age theory
publisher Copernicus Publications
series Earth System Dynamics
issn 2190-4979
2190-4987
publishDate 2020-03-01
description <p>Analyzing a dynamical system describing the global climate variations requires, in principle, exploring a large space spanned by the numerous parameters involved in this model. Dimensional analysis is traditionally employed to deal with equations governing physical phenomena to reduce the number of parameters to be explored, but it does not work well with dynamical ice-age models, because, as a rule, the number of parameters in such systems is much larger than the number of independent dimensions. Physical reasoning may, however, allow us to reduce the number of effective parameters and apply dimensional analysis in a way that is insightful. We show this with a specific ice-age model (Verbitsky et al., 2018), which is a low-order dynamical system based on ice-flow physics coupled with a linear climate feedback. In this model, the ratio of positive-to-negative feedback is effectively captured by a dimensionless number called the “<span class="inline-formula"><i>V</i></span> number”, which aggregates several parameters and, hence, reduces the number of governing parameters. This allows us to apply the central theorem of the dimensional analysis, the <span class="inline-formula"><i>π</i></span> theorem, efficiently. Specifically, we show that the relationship between the amplitude and duration of glacial cycles is governed by a property of scale invariance that does not depend on the physical nature of the underlying positive and negative feedbacks incorporated by the system. This specific example suggests a broader idea; that is, the scale invariance can be deduced as a general property of ice age dynamics if the latter are effectively governed by a single ratio between positive and negative feedbacks.</p>
url https://www.earth-syst-dynam.net/11/281/2020/esd-11-281-2020.pdf
work_keys_str_mv AT myverbitsky ipitheoremgeneralizationoftheiceagetheory
AT myverbitsky ipitheoremgeneralizationoftheiceagetheory
AT mcrucifix ipitheoremgeneralizationoftheiceagetheory
_version_ 1724729189026758656