Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity

Sea ice is composed of discrete units called floes. Observations show that these floes can adopt a range of sizes spanning orders of magnitude, from metres to tens of kilometres. Floe size impacts the nature and magnitude of interactions between the sea ice, ocean, and atmosphere including lateral m...

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Published in:The Cryosphere
Main Authors: Bateson, Adam William, Feltham, Daniel L., Schröder, David, Wang, Yanan, Hwang, Byongjun, Ridley, Jeff K., Aksenov, Yevgeny
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus GmbH (Copernicus Publications) 2022
Subjects:
Online Access:https://centaur.reading.ac.uk/105966/
https://centaur.reading.ac.uk/105966/1/tc-16-2565-2022.pdf
https://tc.copernicus.org/articles/16/2565/2022/
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spelling ftunivreading:oai:centaur.reading.ac.uk:105966 2023-09-05T13:15:56+02:00 Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity Bateson, Adam William Feltham, Daniel L. Schröder, David Wang, Yanan Hwang, Byongjun Ridley, Jeff K. Aksenov, Yevgeny 2022-06-28 text https://centaur.reading.ac.uk/105966/ https://centaur.reading.ac.uk/105966/1/tc-16-2565-2022.pdf https://tc.copernicus.org/articles/16/2565/2022/ en eng Copernicus GmbH (Copernicus Publications) https://centaur.reading.ac.uk/105966/1/tc-16-2565-2022.pdf Bateson, Adam William ORCID logoorcid:0000-0002-1239-4161 , Feltham, Daniel L., Schröder, David ORCID logoorcid:0000-0003-2351-4306 , Wang, Yanan, Hwang, Byongjun, Ridley, Jeff K. and Aksenov, Yevgeny (2022) Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity. The Cryosphere, 16 (6). pp. 2565-2593. ISSN 1994-0424 doi: https://doi.org/10.5194/tc-16-2565-2022 <https://doi.org/10.5194/tc-16-2565-2022> cc_by_4 Article PeerReviewed 2022 ftunivreading https://doi.org/10.5194/tc-16-2565-2022 2023-08-14T18:16:57Z Sea ice is composed of discrete units called floes. Observations show that these floes can adopt a range of sizes spanning orders of magnitude, from metres to tens of kilometres. Floe size impacts the nature and magnitude of interactions between the sea ice, ocean, and atmosphere including lateral melt rate and momentum and heat exchange. However, large-scale geophysical sea ice models employ a continuum approach and traditionally either assume floes adopt a constant size or do not include an explicit treatment of floe size. In this study we apply novel observations to analyse two alternative approaches to modelling a floe size distribution (FSD) within the state-of-the-art CICE sea ice model. The first model considered is a prognostic floe size–thickness distribution where the shape of the distribution is an emergent feature of the model and is not assumed a priori. The second model considered, the WIPoFSD (Waves-in-Ice module and Power law Floe Size Distribution) model, assumes floe size follows a power law with a constant exponent. We introduce a parameterisation motivated by idealised models of in-plane brittle fracture to the prognostic model and demonstrate that the inclusion of this scheme enables the prognostic model to achieve a reasonable match against the novel observations for mid-sized floes (100 m–2 km). While neither FSD model results in a significant improvement in the ability of CICE to simulate pan-Arctic metrics in a stand-alone sea ice configuration, larger impacts can be seen over regional scales in sea ice concentration and thickness. We find that the prognostic model particularly enhances sea ice melt in the early melt season, whereas for the WIPoFSD model this melt increase occurs primarily during the late melt season. We then show that these differences between the two FSD models can be explained by considering the effective floe size, a metric used to characterise a given FSD. Finally, we discuss the advantages and disadvantages to these different approaches to modelling the FSD. We ... Article in Journal/Newspaper Arctic Arctic Sea ice The Cryosphere CentAUR: Central Archive at the University of Reading Arctic The Cryosphere 16 6 2565 2593
institution Open Polar
collection CentAUR: Central Archive at the University of Reading
op_collection_id ftunivreading
language English
description Sea ice is composed of discrete units called floes. Observations show that these floes can adopt a range of sizes spanning orders of magnitude, from metres to tens of kilometres. Floe size impacts the nature and magnitude of interactions between the sea ice, ocean, and atmosphere including lateral melt rate and momentum and heat exchange. However, large-scale geophysical sea ice models employ a continuum approach and traditionally either assume floes adopt a constant size or do not include an explicit treatment of floe size. In this study we apply novel observations to analyse two alternative approaches to modelling a floe size distribution (FSD) within the state-of-the-art CICE sea ice model. The first model considered is a prognostic floe size–thickness distribution where the shape of the distribution is an emergent feature of the model and is not assumed a priori. The second model considered, the WIPoFSD (Waves-in-Ice module and Power law Floe Size Distribution) model, assumes floe size follows a power law with a constant exponent. We introduce a parameterisation motivated by idealised models of in-plane brittle fracture to the prognostic model and demonstrate that the inclusion of this scheme enables the prognostic model to achieve a reasonable match against the novel observations for mid-sized floes (100 m–2 km). While neither FSD model results in a significant improvement in the ability of CICE to simulate pan-Arctic metrics in a stand-alone sea ice configuration, larger impacts can be seen over regional scales in sea ice concentration and thickness. We find that the prognostic model particularly enhances sea ice melt in the early melt season, whereas for the WIPoFSD model this melt increase occurs primarily during the late melt season. We then show that these differences between the two FSD models can be explained by considering the effective floe size, a metric used to characterise a given FSD. Finally, we discuss the advantages and disadvantages to these different approaches to modelling the FSD. We ...
format Article in Journal/Newspaper
author Bateson, Adam William
Feltham, Daniel L.
Schröder, David
Wang, Yanan
Hwang, Byongjun
Ridley, Jeff K.
Aksenov, Yevgeny
spellingShingle Bateson, Adam William
Feltham, Daniel L.
Schröder, David
Wang, Yanan
Hwang, Byongjun
Ridley, Jeff K.
Aksenov, Yevgeny
Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity
author_facet Bateson, Adam William
Feltham, Daniel L.
Schröder, David
Wang, Yanan
Hwang, Byongjun
Ridley, Jeff K.
Aksenov, Yevgeny
author_sort Bateson, Adam William
title Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity
title_short Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity
title_full Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity
title_fullStr Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity
title_full_unstemmed Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity
title_sort sea ice floe size: its impact on pan-arctic and local ice mass and required model complexity
publisher Copernicus GmbH (Copernicus Publications)
publishDate 2022
url https://centaur.reading.ac.uk/105966/
https://centaur.reading.ac.uk/105966/1/tc-16-2565-2022.pdf
https://tc.copernicus.org/articles/16/2565/2022/
geographic Arctic
geographic_facet Arctic
genre Arctic
Arctic
Sea ice
The Cryosphere
genre_facet Arctic
Arctic
Sea ice
The Cryosphere
op_relation https://centaur.reading.ac.uk/105966/1/tc-16-2565-2022.pdf
Bateson, Adam William ORCID logoorcid:0000-0002-1239-4161 , Feltham, Daniel L., Schröder, David ORCID logoorcid:0000-0003-2351-4306 , Wang, Yanan, Hwang, Byongjun, Ridley, Jeff K. and Aksenov, Yevgeny (2022) Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity. The Cryosphere, 16 (6). pp. 2565-2593. ISSN 1994-0424 doi: https://doi.org/10.5194/tc-16-2565-2022 <https://doi.org/10.5194/tc-16-2565-2022>
op_rights cc_by_4
op_doi https://doi.org/10.5194/tc-16-2565-2022
container_title The Cryosphere
container_volume 16
container_issue 6
container_start_page 2565
op_container_end_page 2593
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