Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations

The sea ice modeling community is progressing towards pan-Arctic simulations that explicitly resolve leads in the simulated sea ice cover. Evaluating these simulations against observations poses new challenges. A new feature-based evaluation of simulated deformation fields is introduced, and the res...

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Bibliographic Details
Published in:The Cryosphere
Main Authors: N. Hutter, M. Losch
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2020
Subjects:
geo
Online Access:https://doi.org/10.5194/tc-14-93-2020
https://www.the-cryosphere.net/14/93/2020/tc-14-93-2020.pdf
https://doaj.org/article/7c69bdb9d68d46819d28aa748db19ae7
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:7c69bdb9d68d46819d28aa748db19ae7 2023-05-15T15:01:52+02:00 Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations N. Hutter M. Losch 2020-01-01 https://doi.org/10.5194/tc-14-93-2020 https://www.the-cryosphere.net/14/93/2020/tc-14-93-2020.pdf https://doaj.org/article/7c69bdb9d68d46819d28aa748db19ae7 en eng Copernicus Publications doi:10.5194/tc-14-93-2020 1994-0416 1994-0424 https://www.the-cryosphere.net/14/93/2020/tc-14-93-2020.pdf https://doaj.org/article/7c69bdb9d68d46819d28aa748db19ae7 undefined The Cryosphere, Vol 14, Pp 93-113 (2020) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2020 fttriple https://doi.org/10.5194/tc-14-93-2020 2023-01-22T18:14:12Z The sea ice modeling community is progressing towards pan-Arctic simulations that explicitly resolve leads in the simulated sea ice cover. Evaluating these simulations against observations poses new challenges. A new feature-based evaluation of simulated deformation fields is introduced, and the results are compared to a scaling analysis of sea ice deformation. Leads and pressure ridges – here combined into linear kinematic features (LKFs) – are detected and tracked automatically from deformation and drift data. LKFs in two pan-Arctic sea ice simulations with a horizontal grid spacing of 2 km are compared with an LKF dataset derived from the RADARSAT Geophysical Processor System (RGPS). One simulation uses a five-class ice thickness distribution (ITD). The simulated sea ice deformation follows a multi-fractal spatial and temporal scaling, as observed from RGPS. The heavy-tailed distribution of LKF lengths and the scale invariance of LKF curvature, which points to the self-similar nature of sea ice deformation fields, are reproduced by the model. Interannual and seasonal variations in the number of LKFs, LKF densities, and LKF orientations in the ITD simulation are found to be consistent with RGPS observations. The lifetimes and growth rates follow a distribution with an exponential tail. The model overestimates the intersection angle of LKFs, which is attributed to the model's viscous-plastic rheology with an elliptical yield curve. In conclusion, the new feature-based analysis of LKF statistics is found to be useful for a comprehensive evaluation of simulated deformation features, which is required before the simulated features can be used with confidence in the context of climate studies. As such, it complements the commonly used scaling analysis and provides new useful information for comparing deformation statistics. The ITD simulation is shown to reproduce LKFs sufficiently well for it to be used for studying the effect of directly resolved leads in climate simulations. The feature-based analysis of LKFs ... Article in Journal/Newspaper Arctic Sea ice The Cryosphere Unknown Arctic The Cryosphere 14 1 93 113
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
N. Hutter
M. Losch
Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations
topic_facet geo
envir
description The sea ice modeling community is progressing towards pan-Arctic simulations that explicitly resolve leads in the simulated sea ice cover. Evaluating these simulations against observations poses new challenges. A new feature-based evaluation of simulated deformation fields is introduced, and the results are compared to a scaling analysis of sea ice deformation. Leads and pressure ridges – here combined into linear kinematic features (LKFs) – are detected and tracked automatically from deformation and drift data. LKFs in two pan-Arctic sea ice simulations with a horizontal grid spacing of 2 km are compared with an LKF dataset derived from the RADARSAT Geophysical Processor System (RGPS). One simulation uses a five-class ice thickness distribution (ITD). The simulated sea ice deformation follows a multi-fractal spatial and temporal scaling, as observed from RGPS. The heavy-tailed distribution of LKF lengths and the scale invariance of LKF curvature, which points to the self-similar nature of sea ice deformation fields, are reproduced by the model. Interannual and seasonal variations in the number of LKFs, LKF densities, and LKF orientations in the ITD simulation are found to be consistent with RGPS observations. The lifetimes and growth rates follow a distribution with an exponential tail. The model overestimates the intersection angle of LKFs, which is attributed to the model's viscous-plastic rheology with an elliptical yield curve. In conclusion, the new feature-based analysis of LKF statistics is found to be useful for a comprehensive evaluation of simulated deformation features, which is required before the simulated features can be used with confidence in the context of climate studies. As such, it complements the commonly used scaling analysis and provides new useful information for comparing deformation statistics. The ITD simulation is shown to reproduce LKFs sufficiently well for it to be used for studying the effect of directly resolved leads in climate simulations. The feature-based analysis of LKFs ...
format Article in Journal/Newspaper
author N. Hutter
M. Losch
author_facet N. Hutter
M. Losch
author_sort N. Hutter
title Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations
title_short Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations
title_full Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations
title_fullStr Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations
title_full_unstemmed Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations
title_sort feature-based comparison of sea ice deformation in lead-permitting sea ice simulations
publisher Copernicus Publications
publishDate 2020
url https://doi.org/10.5194/tc-14-93-2020
https://www.the-cryosphere.net/14/93/2020/tc-14-93-2020.pdf
https://doaj.org/article/7c69bdb9d68d46819d28aa748db19ae7
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
The Cryosphere
genre_facet Arctic
Sea ice
The Cryosphere
op_source The Cryosphere, Vol 14, Pp 93-113 (2020)
op_relation doi:10.5194/tc-14-93-2020
1994-0416
1994-0424
https://www.the-cryosphere.net/14/93/2020/tc-14-93-2020.pdf
https://doaj.org/article/7c69bdb9d68d46819d28aa748db19ae7
op_rights undefined
op_doi https://doi.org/10.5194/tc-14-93-2020
container_title The Cryosphere
container_volume 14
container_issue 1
container_start_page 93
op_container_end_page 113
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