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A Maximum Entropy Production Hypothesis for Time Varying Climate Problems: Illustration on a Conceptual Model for the Seasonal Cycle

We investigated the applicability of the maximum entropy production hypothesis to time-varying problems, in particular, the seasonal cycle using a conceptual model. Contrarily to existing models, only the advective part of the energy fluxes is optimized, while conductive energy fluxes that store ene...

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Detalles Bibliográficos
Autores principales: Labarre, Vincent, Paillard, Didier, Dubrulle, Bérengère
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597265/
https://www.ncbi.nlm.nih.gov/pubmed/33286735
http://dx.doi.org/10.3390/e22090966
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author Labarre, Vincent
Paillard, Didier
Dubrulle, Bérengère
author_facet Labarre, Vincent
Paillard, Didier
Dubrulle, Bérengère
author_sort Labarre, Vincent
collection PubMed
description We investigated the applicability of the maximum entropy production hypothesis to time-varying problems, in particular, the seasonal cycle using a conceptual model. Contrarily to existing models, only the advective part of the energy fluxes is optimized, while conductive energy fluxes that store energy in the ground are represented by a diffusive law. We observed that this distinction between energy fluxes allows for a more realistic response of the system. In particular, a lag is naturally observed for the ground temperature. This study therefore shows that not all energy fluxes should be optimized in energy balance models using the maximum entropy production hypothesis, but only the fast convective (turbulent) part.
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spelling pubmed-75972652020-11-09 A Maximum Entropy Production Hypothesis for Time Varying Climate Problems: Illustration on a Conceptual Model for the Seasonal Cycle Labarre, Vincent Paillard, Didier Dubrulle, Bérengère Entropy (Basel) Article We investigated the applicability of the maximum entropy production hypothesis to time-varying problems, in particular, the seasonal cycle using a conceptual model. Contrarily to existing models, only the advective part of the energy fluxes is optimized, while conductive energy fluxes that store energy in the ground are represented by a diffusive law. We observed that this distinction between energy fluxes allows for a more realistic response of the system. In particular, a lag is naturally observed for the ground temperature. This study therefore shows that not all energy fluxes should be optimized in energy balance models using the maximum entropy production hypothesis, but only the fast convective (turbulent) part. MDPI 2020-08-31 /pmc/articles/PMC7597265/ /pubmed/33286735 http://dx.doi.org/10.3390/e22090966 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Labarre, Vincent
Paillard, Didier
Dubrulle, Bérengère
A Maximum Entropy Production Hypothesis for Time Varying Climate Problems: Illustration on a Conceptual Model for the Seasonal Cycle
title A Maximum Entropy Production Hypothesis for Time Varying Climate Problems: Illustration on a Conceptual Model for the Seasonal Cycle
title_full A Maximum Entropy Production Hypothesis for Time Varying Climate Problems: Illustration on a Conceptual Model for the Seasonal Cycle
title_fullStr A Maximum Entropy Production Hypothesis for Time Varying Climate Problems: Illustration on a Conceptual Model for the Seasonal Cycle
title_full_unstemmed A Maximum Entropy Production Hypothesis for Time Varying Climate Problems: Illustration on a Conceptual Model for the Seasonal Cycle
title_short A Maximum Entropy Production Hypothesis for Time Varying Climate Problems: Illustration on a Conceptual Model for the Seasonal Cycle
title_sort maximum entropy production hypothesis for time varying climate problems: illustration on a conceptual model for the seasonal cycle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597265/
https://www.ncbi.nlm.nih.gov/pubmed/33286735
http://dx.doi.org/10.3390/e22090966
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