Modeling the seasonal evolution of the Arctic sea ice floe size distribution

Abstract To better simulate the seasonal evolution of sea ice in the Arctic, with particular attention to the marginal ice zone, a sea ice model of the distribution of ice thickness, floe size, and enthalpy was implemented into the Pan-arctic Ice–Ocean Modeling and Assimilation System (PIOMAS). Theo...

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Published in:Elementa: Science of the Anthropocene
Main Authors: Jinlun Zhang, Harry Stern, Byongjun Hwang, Axel Schweiger, Michael Steele, Margaret Stark, Hans C. Graber
Format: Article in Journal/Newspaper
Language:English
Published: BioOne 2016
Subjects:
geo
Online Access:https://doi.org/10.12952/journal.elementa.000126
https://doaj.org/article/f9970695ddf3427c8ffc3a242126f0c3
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:f9970695ddf3427c8ffc3a242126f0c3 2023-05-15T14:51:13+02:00 Modeling the seasonal evolution of the Arctic sea ice floe size distribution Jinlun Zhang Harry Stern Byongjun Hwang Axel Schweiger Michael Steele Margaret Stark Hans C. Graber 2016-09-01 https://doi.org/10.12952/journal.elementa.000126 https://doaj.org/article/f9970695ddf3427c8ffc3a242126f0c3 en eng BioOne 2325-1026 doi:10.12952/journal.elementa.000126 https://doaj.org/article/f9970695ddf3427c8ffc3a242126f0c3 undefined Elementa: Science of the Anthropocene (2016) Arctic Sea ice Floe size distribution geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2016 fttriple https://doi.org/10.12952/journal.elementa.000126 2023-01-22T18:19:47Z Abstract To better simulate the seasonal evolution of sea ice in the Arctic, with particular attention to the marginal ice zone, a sea ice model of the distribution of ice thickness, floe size, and enthalpy was implemented into the Pan-arctic Ice–Ocean Modeling and Assimilation System (PIOMAS). Theories on floe size distribution (FSD) and ice thickness distribution (ITD) were coupled in order to explicitly simulate multicategory FSD and ITD distributions simultaneously. The expanded PIOMAS was then used to estimate the seasonal evolution of the Arctic FSD in 2014 when FSD observations are available for model calibration and validation. Results indicate that the simulated FSD, commonly described equivalently as cumulative floe number distribution (CFND), generally follows a power law across space and time and agrees with the CFND observations derived from TerraSAR-X satellite images. The simulated power-law exponents also correlate with those derived using MODIS images, with a low mean bias of –2%. In the marginal ice zone, the modeled CFND shows a large number of small floes in winter because of stronger winds acting on thin, weak first-year ice in the ice edge region. In mid-spring and summer, the CFND resembles an upper truncated power law, with the largest floes mostly broken into smaller ones; however, the number of small floes is lower than in winter because floes of small sizes or first-year ice are easily melted away. In the ice pack interior there are fewer floes in late fall and winter than in summer because many of the floes are “welded” together into larger floes in freezing conditions, leading to a relatively flat CFND with low power-law exponents. The simulated mean floe size averaged over all ice-covered areas shows a clear annual cycle, large in winter and smaller in summer. However, there is no obvious annual cycle of mean floe size averaged over the marginal ice zone. The incorporation of FSD into PIOMAS results in reduced ice thickness, mainly in the marginal ice zone, which improves the ... Article in Journal/Newspaper Arctic ice pack Sea ice ice covered areas Unknown Arctic Elementa: Science of the Anthropocene 4
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic Arctic Sea ice Floe size distribution
geo
envir
spellingShingle Arctic Sea ice Floe size distribution
geo
envir
Jinlun Zhang
Harry Stern
Byongjun Hwang
Axel Schweiger
Michael Steele
Margaret Stark
Hans C. Graber
Modeling the seasonal evolution of the Arctic sea ice floe size distribution
topic_facet Arctic Sea ice Floe size distribution
geo
envir
description Abstract To better simulate the seasonal evolution of sea ice in the Arctic, with particular attention to the marginal ice zone, a sea ice model of the distribution of ice thickness, floe size, and enthalpy was implemented into the Pan-arctic Ice–Ocean Modeling and Assimilation System (PIOMAS). Theories on floe size distribution (FSD) and ice thickness distribution (ITD) were coupled in order to explicitly simulate multicategory FSD and ITD distributions simultaneously. The expanded PIOMAS was then used to estimate the seasonal evolution of the Arctic FSD in 2014 when FSD observations are available for model calibration and validation. Results indicate that the simulated FSD, commonly described equivalently as cumulative floe number distribution (CFND), generally follows a power law across space and time and agrees with the CFND observations derived from TerraSAR-X satellite images. The simulated power-law exponents also correlate with those derived using MODIS images, with a low mean bias of –2%. In the marginal ice zone, the modeled CFND shows a large number of small floes in winter because of stronger winds acting on thin, weak first-year ice in the ice edge region. In mid-spring and summer, the CFND resembles an upper truncated power law, with the largest floes mostly broken into smaller ones; however, the number of small floes is lower than in winter because floes of small sizes or first-year ice are easily melted away. In the ice pack interior there are fewer floes in late fall and winter than in summer because many of the floes are “welded” together into larger floes in freezing conditions, leading to a relatively flat CFND with low power-law exponents. The simulated mean floe size averaged over all ice-covered areas shows a clear annual cycle, large in winter and smaller in summer. However, there is no obvious annual cycle of mean floe size averaged over the marginal ice zone. The incorporation of FSD into PIOMAS results in reduced ice thickness, mainly in the marginal ice zone, which improves the ...
format Article in Journal/Newspaper
author Jinlun Zhang
Harry Stern
Byongjun Hwang
Axel Schweiger
Michael Steele
Margaret Stark
Hans C. Graber
author_facet Jinlun Zhang
Harry Stern
Byongjun Hwang
Axel Schweiger
Michael Steele
Margaret Stark
Hans C. Graber
author_sort Jinlun Zhang
title Modeling the seasonal evolution of the Arctic sea ice floe size distribution
title_short Modeling the seasonal evolution of the Arctic sea ice floe size distribution
title_full Modeling the seasonal evolution of the Arctic sea ice floe size distribution
title_fullStr Modeling the seasonal evolution of the Arctic sea ice floe size distribution
title_full_unstemmed Modeling the seasonal evolution of the Arctic sea ice floe size distribution
title_sort modeling the seasonal evolution of the arctic sea ice floe size distribution
publisher BioOne
publishDate 2016
url https://doi.org/10.12952/journal.elementa.000126
https://doaj.org/article/f9970695ddf3427c8ffc3a242126f0c3
geographic Arctic
geographic_facet Arctic
genre Arctic
ice pack
Sea ice
ice covered areas
genre_facet Arctic
ice pack
Sea ice
ice covered areas
op_source Elementa: Science of the Anthropocene (2016)
op_relation 2325-1026
doi:10.12952/journal.elementa.000126
https://doaj.org/article/f9970695ddf3427c8ffc3a242126f0c3
op_rights undefined
op_doi https://doi.org/10.12952/journal.elementa.000126
container_title Elementa: Science of the Anthropocene
container_volume 4
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