On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic
We explore several statistical properties of the observed and simulated Arctic sea-ice lead fraction, as well as the statistics of simulated Arctic ocean–atmosphere heat fluxes. First we show that the observed lead fraction in the Central Arctic has a monofractal spatial scaling, which we relate to...
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Copernicus Publications
2021
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fttriple:oai:gotriple.eu:oai:doaj.org/article:c54648fc55724be3aaa14170b6e720d2 2023-05-15T14:36:02+02:00 On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic E. Ólason P. Rampal V. Dansereau 2021-02-01 https://doi.org/10.5194/tc-15-1053-2021 https://tc.copernicus.org/articles/15/1053/2021/tc-15-1053-2021.pdf https://doaj.org/article/c54648fc55724be3aaa14170b6e720d2 en eng Copernicus Publications doi:10.5194/tc-15-1053-2021 1994-0416 1994-0424 https://tc.copernicus.org/articles/15/1053/2021/tc-15-1053-2021.pdf https://doaj.org/article/c54648fc55724be3aaa14170b6e720d2 undefined The Cryosphere, Vol 15, Pp 1053-1064 (2021) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2021 fttriple https://doi.org/10.5194/tc-15-1053-2021 2023-01-22T19:15:51Z We explore several statistical properties of the observed and simulated Arctic sea-ice lead fraction, as well as the statistics of simulated Arctic ocean–atmosphere heat fluxes. First we show that the observed lead fraction in the Central Arctic has a monofractal spatial scaling, which we relate to the multifractal spatial scaling present in sea-ice deformation rates. We then show that the relevant statistics of the observed lead fraction in the Central Arctic are well represented by our model, neXtSIM. Given that the heat flux through leads may be up to 2 orders of magnitude larger than that through unbroken ice, we then explore the statistical properties (probability distribution function – PDF – and spatial scaling) of the heat fluxes simulated by neXtSIM. We demonstrate that the modelled heat fluxes present a multifractal scaling in the Central Arctic, where heat fluxes through leads dominate the high-flux tail of the PDF. This multifractal character relates to the multi- and monofractal character of deformation rates and the lead fraction. In the wider Arctic, the high-flux tail of the PDF is dominated by an exponential decay, which we attribute to the presence of coastal polynyas. Finally, we show that the scaling of the simulated lead fraction and heat fluxes depends weakly on the model resolution and discuss the role sub-grid-scale parameterisations of the ice heterogeneity may have in improving this result. Article in Journal/Newspaper Arctic Arctic Ocean Sea ice The Cryosphere Unknown Arctic Arctic Ocean The Cryosphere 15 2 1053 1064 |
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geo envir E. Ólason P. Rampal V. Dansereau On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic |
topic_facet |
geo envir |
description |
We explore several statistical properties of the observed and simulated Arctic sea-ice lead fraction, as well as the statistics of simulated Arctic ocean–atmosphere heat fluxes. First we show that the observed lead fraction in the Central Arctic has a monofractal spatial scaling, which we relate to the multifractal spatial scaling present in sea-ice deformation rates. We then show that the relevant statistics of the observed lead fraction in the Central Arctic are well represented by our model, neXtSIM. Given that the heat flux through leads may be up to 2 orders of magnitude larger than that through unbroken ice, we then explore the statistical properties (probability distribution function – PDF – and spatial scaling) of the heat fluxes simulated by neXtSIM. We demonstrate that the modelled heat fluxes present a multifractal scaling in the Central Arctic, where heat fluxes through leads dominate the high-flux tail of the PDF. This multifractal character relates to the multi- and monofractal character of deformation rates and the lead fraction. In the wider Arctic, the high-flux tail of the PDF is dominated by an exponential decay, which we attribute to the presence of coastal polynyas. Finally, we show that the scaling of the simulated lead fraction and heat fluxes depends weakly on the model resolution and discuss the role sub-grid-scale parameterisations of the ice heterogeneity may have in improving this result. |
format |
Article in Journal/Newspaper |
author |
E. Ólason P. Rampal V. Dansereau |
author_facet |
E. Ólason P. Rampal V. Dansereau |
author_sort |
E. Ólason |
title |
On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic |
title_short |
On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic |
title_full |
On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic |
title_fullStr |
On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic |
title_full_unstemmed |
On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic |
title_sort |
on the statistical properties of sea-ice lead fraction and heat fluxes in the arctic |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doi.org/10.5194/tc-15-1053-2021 https://tc.copernicus.org/articles/15/1053/2021/tc-15-1053-2021.pdf https://doaj.org/article/c54648fc55724be3aaa14170b6e720d2 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Sea ice The Cryosphere |
genre_facet |
Arctic Arctic Ocean Sea ice The Cryosphere |
op_source |
The Cryosphere, Vol 15, Pp 1053-1064 (2021) |
op_relation |
doi:10.5194/tc-15-1053-2021 1994-0416 1994-0424 https://tc.copernicus.org/articles/15/1053/2021/tc-15-1053-2021.pdf https://doaj.org/article/c54648fc55724be3aaa14170b6e720d2 |
op_rights |
undefined |
op_doi |
https://doi.org/10.5194/tc-15-1053-2021 |
container_title |
The Cryosphere |
container_volume |
15 |
container_issue |
2 |
container_start_page |
1053 |
op_container_end_page |
1064 |
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1766308739887923200 |