Summer sea ice floe perimeter density in the Arctic: high-resolution optical satellite imagery and model evaluation

Size distribution of sea ice floes is an important component for sea ice thermodynamic and dynamic processes, particularly in the marginal ice zone. Recently processes related to the floe size distribution (FSD) have been incorporated into sea ice models, but the sparsity of existing observations li...

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Published in:The Cryosphere
Main Authors: Wang, Yanan, Hwang, Byongjun, Bateson, Adam William, Aksenov, Yevgeny, Horvat, Christopher
Format: Text
Language:English
Published: 2023
Subjects:
Online Access:https://doi.org/10.5194/tc-17-3575-2023
https://tc.copernicus.org/articles/17/3575/2023/
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spelling ftcopernicus:oai:publications.copernicus.org:tc104758 2023-09-26T15:14:40+02:00 Summer sea ice floe perimeter density in the Arctic: high-resolution optical satellite imagery and model evaluation Wang, Yanan Hwang, Byongjun Bateson, Adam William Aksenov, Yevgeny Horvat, Christopher 2023-08-25 application/pdf https://doi.org/10.5194/tc-17-3575-2023 https://tc.copernicus.org/articles/17/3575/2023/ eng eng doi:10.5194/tc-17-3575-2023 https://tc.copernicus.org/articles/17/3575/2023/ eISSN: 1994-0424 Text 2023 ftcopernicus https://doi.org/10.5194/tc-17-3575-2023 2023-08-28T16:24:15Z Size distribution of sea ice floes is an important component for sea ice thermodynamic and dynamic processes, particularly in the marginal ice zone. Recently processes related to the floe size distribution (FSD) have been incorporated into sea ice models, but the sparsity of existing observations limits the evaluation of FSD models, thus hindering model improvements. In this study, perimeter density has been applied to characterise the floe size distribution for evaluating three FSD models – the Waves-in-Ice module and Power law Floe Size Distribution (WIPoFSD) model and two branches of a fully prognostic floe size-thickness distribution model: CPOM-FSD and FSDv2-WAVE. These models are evaluated against a new FSD dataset derived from high-resolution satellite imagery in the Arctic. The evaluation shows an overall overestimation of floe perimeter density by the models against the observations. Comparison of the floe perimeter density distribution with the observations shows that the models exhibit a much larger proportion for small floes (radius < 10 –30 m) but a much smaller proportion for large floes (radius > 30 –50 m). Observations and the WIPoFSD model both show a negative correlation between sea ice concentration and the floe perimeter density, but the two prognostic models (CPOM-FSD and FSDv2-WAVE) show the opposite pattern. These differences between models and the observations may be attributed to limitations in the observations (e.g. the image resolution is not sufficient to detect small floes) or limitations in the model parameterisations, including the use of a global power-law exponent in the WIPoFSD model as well as too weak a floe welding and enhanced wave fracture in the prognostic models. Text Arctic Sea ice Copernicus Publications: E-Journals Arctic The Cryosphere 17 8 3575 3591
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Size distribution of sea ice floes is an important component for sea ice thermodynamic and dynamic processes, particularly in the marginal ice zone. Recently processes related to the floe size distribution (FSD) have been incorporated into sea ice models, but the sparsity of existing observations limits the evaluation of FSD models, thus hindering model improvements. In this study, perimeter density has been applied to characterise the floe size distribution for evaluating three FSD models – the Waves-in-Ice module and Power law Floe Size Distribution (WIPoFSD) model and two branches of a fully prognostic floe size-thickness distribution model: CPOM-FSD and FSDv2-WAVE. These models are evaluated against a new FSD dataset derived from high-resolution satellite imagery in the Arctic. The evaluation shows an overall overestimation of floe perimeter density by the models against the observations. Comparison of the floe perimeter density distribution with the observations shows that the models exhibit a much larger proportion for small floes (radius < 10 –30 m) but a much smaller proportion for large floes (radius > 30 –50 m). Observations and the WIPoFSD model both show a negative correlation between sea ice concentration and the floe perimeter density, but the two prognostic models (CPOM-FSD and FSDv2-WAVE) show the opposite pattern. These differences between models and the observations may be attributed to limitations in the observations (e.g. the image resolution is not sufficient to detect small floes) or limitations in the model parameterisations, including the use of a global power-law exponent in the WIPoFSD model as well as too weak a floe welding and enhanced wave fracture in the prognostic models.
format Text
author Wang, Yanan
Hwang, Byongjun
Bateson, Adam William
Aksenov, Yevgeny
Horvat, Christopher
spellingShingle Wang, Yanan
Hwang, Byongjun
Bateson, Adam William
Aksenov, Yevgeny
Horvat, Christopher
Summer sea ice floe perimeter density in the Arctic: high-resolution optical satellite imagery and model evaluation
author_facet Wang, Yanan
Hwang, Byongjun
Bateson, Adam William
Aksenov, Yevgeny
Horvat, Christopher
author_sort Wang, Yanan
title Summer sea ice floe perimeter density in the Arctic: high-resolution optical satellite imagery and model evaluation
title_short Summer sea ice floe perimeter density in the Arctic: high-resolution optical satellite imagery and model evaluation
title_full Summer sea ice floe perimeter density in the Arctic: high-resolution optical satellite imagery and model evaluation
title_fullStr Summer sea ice floe perimeter density in the Arctic: high-resolution optical satellite imagery and model evaluation
title_full_unstemmed Summer sea ice floe perimeter density in the Arctic: high-resolution optical satellite imagery and model evaluation
title_sort summer sea ice floe perimeter density in the arctic: high-resolution optical satellite imagery and model evaluation
publishDate 2023
url https://doi.org/10.5194/tc-17-3575-2023
https://tc.copernicus.org/articles/17/3575/2023/
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-17-3575-2023
https://tc.copernicus.org/articles/17/3575/2023/
op_doi https://doi.org/10.5194/tc-17-3575-2023
container_title The Cryosphere
container_volume 17
container_issue 8
container_start_page 3575
op_container_end_page 3591
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