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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Published in:The Cryosphere
Main Authors: Hutter, Nils, Losch, Martin
Format: Article in Journal/Newspaper
Language:unknown
Published: COPERNICUS GESELLSCHAFT MBH 2020
Subjects:
Online Access:https://epic.awi.de/id/eprint/51846/
https://www.the-cryosphere.net/14/93/2020/
https://hdl.handle.net/10013/epic.e0833924-2212-45a8-9fd7-7b9d06a72650
id ftawi:oai:epic.awi.de:51846
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spelling ftawi:oai:epic.awi.de:51846 2024-09-15T18:34:23+00:00 Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations Hutter, Nils Losch, Martin 2020-01-16 https://epic.awi.de/id/eprint/51846/ https://www.the-cryosphere.net/14/93/2020/ https://hdl.handle.net/10013/epic.e0833924-2212-45a8-9fd7-7b9d06a72650 unknown COPERNICUS GESELLSCHAFT MBH Hutter, N. orcid:0000-0003-3450-9422 and Losch, M. orcid:0000-0002-3824-5244 (2020) Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations , Cryosphere, 14 (1), pp. 93-113 . doi:10.5194/tc-14-93-2020 <https://doi.org/10.5194/tc-14-93-2020> , hdl:10013/epic.e0833924-2212-45a8-9fd7-7b9d06a72650 EPIC3Cryosphere, COPERNICUS GESELLSCHAFT MBH, 14(1), pp. 93-113, ISSN: 1994-0416 Article isiRev 2020 ftawi https://doi.org/10.5194/tc-14-93-2020 2024-06-24T04:24:41Z 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 Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) The Cryosphere 14 1 93 113
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
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 Hutter, Nils
Losch, Martin
spellingShingle Hutter, Nils
Losch, Martin
Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations
author_facet Hutter, Nils
Losch, Martin
author_sort Hutter, Nils
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 GESELLSCHAFT MBH
publishDate 2020
url https://epic.awi.de/id/eprint/51846/
https://www.the-cryosphere.net/14/93/2020/
https://hdl.handle.net/10013/epic.e0833924-2212-45a8-9fd7-7b9d06a72650
genre Sea ice
genre_facet Sea ice
op_source EPIC3Cryosphere, COPERNICUS GESELLSCHAFT MBH, 14(1), pp. 93-113, ISSN: 1994-0416
op_relation Hutter, N. orcid:0000-0003-3450-9422 and Losch, M. orcid:0000-0002-3824-5244 (2020) Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations , Cryosphere, 14 (1), pp. 93-113 . doi:10.5194/tc-14-93-2020 <https://doi.org/10.5194/tc-14-93-2020> , hdl:10013/epic.e0833924-2212-45a8-9fd7-7b9d06a72650
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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