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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COPERNICUS GESELLSCHAFT MBH
2020
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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 |
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Open Polar |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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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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1810476234267688960 |