Theoretical framework for the emergent floe size distribution in the marginal ice zone: the case for log-normality

Sea ice is not horizontally homogeneous on large scales. Its morphology is inherently discrete and made of individual floes. In recent years, sea ice models have incorporated this horizontal heterogeneity. The modelling framework considers an evolution equation for the probability density function o...

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Published in:Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Main Authors: Montiel, Fabien, Mokus, Nicolas
Other Authors: Royal Society Te Apārangi, Antarctic Science Platform
Format: Article in Journal/Newspaper
Language:English
Published: The Royal Society 2022
Subjects:
Online Access:http://dx.doi.org/10.1098/rsta.2021.0257
https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2021.0257
https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2021.0257
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spelling crroyalsociety:10.1098/rsta.2021.0257 2024-10-13T14:10:43+00:00 Theoretical framework for the emergent floe size distribution in the marginal ice zone: the case for log-normality Montiel, Fabien Mokus, Nicolas Royal Society Te Apārangi Antarctic Science Platform 2022 http://dx.doi.org/10.1098/rsta.2021.0257 https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2021.0257 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2021.0257 en eng The Royal Society https://royalsociety.org/journals/ethics-policies/data-sharing-mining/ Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences volume 380, issue 2235 ISSN 1364-503X 1471-2962 journal-article 2022 crroyalsociety https://doi.org/10.1098/rsta.2021.0257 2024-09-17T04:34:43Z Sea ice is not horizontally homogeneous on large scales. Its morphology is inherently discrete and made of individual floes. In recent years, sea ice models have incorporated this horizontal heterogeneity. The modelling framework considers an evolution equation for the probability density function of the floe size distribution (FSD) with forcing terms that represent the effects of several physical processes. Despite the modelling effort, a key question remains: What is the FSD emerging from the collection of all forcing processes? Field observations have long suggested that the FSD follows a power law, but this result has not been reproduced by models or laboratory experiments. The theoretical framework for FSD dynamics in response to physical forcings is presented. Wave-induced breakup is further examined with an emphasis on how it affects the FSD. Recent modelling results suggesting the consistent emergence of a log-normal distribution as a result of that process are further discussed. Log-normality is also found in a dataset of floe sizes, which was originally analysed under the power law hypothesis. A simple stochastic process of FSD dynamics, based on random fragmentation theory, is further shown to predict log-normality. We therefore conjecture that, in some situations, the emergent FSD follows a log-normal distribution. This article is part of the theme issue ‘Theory, modelling and observations of marginal ice zone dynamics: multidisciplinary perspectives and outlooks’. Article in Journal/Newspaper Sea ice The Royal Society Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380 2235
institution Open Polar
collection The Royal Society
op_collection_id crroyalsociety
language English
description Sea ice is not horizontally homogeneous on large scales. Its morphology is inherently discrete and made of individual floes. In recent years, sea ice models have incorporated this horizontal heterogeneity. The modelling framework considers an evolution equation for the probability density function of the floe size distribution (FSD) with forcing terms that represent the effects of several physical processes. Despite the modelling effort, a key question remains: What is the FSD emerging from the collection of all forcing processes? Field observations have long suggested that the FSD follows a power law, but this result has not been reproduced by models or laboratory experiments. The theoretical framework for FSD dynamics in response to physical forcings is presented. Wave-induced breakup is further examined with an emphasis on how it affects the FSD. Recent modelling results suggesting the consistent emergence of a log-normal distribution as a result of that process are further discussed. Log-normality is also found in a dataset of floe sizes, which was originally analysed under the power law hypothesis. A simple stochastic process of FSD dynamics, based on random fragmentation theory, is further shown to predict log-normality. We therefore conjecture that, in some situations, the emergent FSD follows a log-normal distribution. This article is part of the theme issue ‘Theory, modelling and observations of marginal ice zone dynamics: multidisciplinary perspectives and outlooks’.
author2 Royal Society Te Apārangi
Antarctic Science Platform
format Article in Journal/Newspaper
author Montiel, Fabien
Mokus, Nicolas
spellingShingle Montiel, Fabien
Mokus, Nicolas
Theoretical framework for the emergent floe size distribution in the marginal ice zone: the case for log-normality
author_facet Montiel, Fabien
Mokus, Nicolas
author_sort Montiel, Fabien
title Theoretical framework for the emergent floe size distribution in the marginal ice zone: the case for log-normality
title_short Theoretical framework for the emergent floe size distribution in the marginal ice zone: the case for log-normality
title_full Theoretical framework for the emergent floe size distribution in the marginal ice zone: the case for log-normality
title_fullStr Theoretical framework for the emergent floe size distribution in the marginal ice zone: the case for log-normality
title_full_unstemmed Theoretical framework for the emergent floe size distribution in the marginal ice zone: the case for log-normality
title_sort theoretical framework for the emergent floe size distribution in the marginal ice zone: the case for log-normality
publisher The Royal Society
publishDate 2022
url http://dx.doi.org/10.1098/rsta.2021.0257
https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2021.0257
https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2021.0257
genre Sea ice
genre_facet Sea ice
op_source Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
volume 380, issue 2235
ISSN 1364-503X 1471-2962
op_rights https://royalsociety.org/journals/ethics-policies/data-sharing-mining/
op_doi https://doi.org/10.1098/rsta.2021.0257
container_title Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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