A large-scale high-resolution numerical model for sea-ice fragmentation dynamics

Sea ice motion and fragmentation forecasts are of vital importance for all human interaction with sea ice, ranging from indigenous hunters to shipping in polar regions. Sea ice models are also important for modelling long term changes in a warming climate. Here we apply a discrete element model (HiD...

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Main Authors: Åström, Jan, Haapala, Jari, Polojärvi, Arttu
Format: Text
Language:English
Published: 2023
Subjects:
Online Access:https://doi.org/10.5194/tc-2023-97
https://tc.copernicus.org/preprints/tc-2023-97/
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spelling ftcopernicus:oai:publications.copernicus.org:tcd112567 2023-10-01T03:59:21+02:00 A large-scale high-resolution numerical model for sea-ice fragmentation dynamics Åström, Jan Haapala, Jari Polojärvi, Arttu 2023-08-31 application/pdf https://doi.org/10.5194/tc-2023-97 https://tc.copernicus.org/preprints/tc-2023-97/ eng eng doi:10.5194/tc-2023-97 https://tc.copernicus.org/preprints/tc-2023-97/ eISSN: 1994-0424 Text 2023 ftcopernicus https://doi.org/10.5194/tc-2023-97 2023-09-04T16:24:18Z Sea ice motion and fragmentation forecasts are of vital importance for all human interaction with sea ice, ranging from indigenous hunters to shipping in polar regions. Sea ice models are also important for modelling long term changes in a warming climate. Here we apply a discrete element model (HiDEM), originally developed for glacier calving, to sea ice break-up and dynamics. The code is highly optimized to utilize high-end supercomputers to achieve extreme time and space resolution. Simulated fracture patterns and ice motion are compared to satellite images in the Kvarken region of the Baltic sea in March 2018. A second application is ice ridge formation in the Bay of Riga. With a few tens of graphics processing units (GPUs) the code is capable of reproducing observed ice patterns, that in nature may take a few days to form, over an area ∼ 100 km × 100 km , with an 8 m resolution, in computations lasting ∼ 10 hours. The simulations largely reproduce observed fracture patterns, ice motion, fast ice regions, floe size distributions, and ridge patterns. The similarities and differences between observed and computed ice dynamics and their relation to initial conditions, boundary conditions and applied driving forces are discussed in detail. The results reported here indicate that HiDEM has the potential to be developed into a high-resolution detailed model for sea ice dynamics over short time scales, which combined with large-scale and long-term continuum models may form an efficient framework for sea ice dynamics forecasts. Text Sea ice Copernicus Publications: E-Journals
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Sea ice motion and fragmentation forecasts are of vital importance for all human interaction with sea ice, ranging from indigenous hunters to shipping in polar regions. Sea ice models are also important for modelling long term changes in a warming climate. Here we apply a discrete element model (HiDEM), originally developed for glacier calving, to sea ice break-up and dynamics. The code is highly optimized to utilize high-end supercomputers to achieve extreme time and space resolution. Simulated fracture patterns and ice motion are compared to satellite images in the Kvarken region of the Baltic sea in March 2018. A second application is ice ridge formation in the Bay of Riga. With a few tens of graphics processing units (GPUs) the code is capable of reproducing observed ice patterns, that in nature may take a few days to form, over an area ∼ 100 km × 100 km , with an 8 m resolution, in computations lasting ∼ 10 hours. The simulations largely reproduce observed fracture patterns, ice motion, fast ice regions, floe size distributions, and ridge patterns. The similarities and differences between observed and computed ice dynamics and their relation to initial conditions, boundary conditions and applied driving forces are discussed in detail. The results reported here indicate that HiDEM has the potential to be developed into a high-resolution detailed model for sea ice dynamics over short time scales, which combined with large-scale and long-term continuum models may form an efficient framework for sea ice dynamics forecasts.
format Text
author Åström, Jan
Haapala, Jari
Polojärvi, Arttu
spellingShingle Åström, Jan
Haapala, Jari
Polojärvi, Arttu
A large-scale high-resolution numerical model for sea-ice fragmentation dynamics
author_facet Åström, Jan
Haapala, Jari
Polojärvi, Arttu
author_sort Åström, Jan
title A large-scale high-resolution numerical model for sea-ice fragmentation dynamics
title_short A large-scale high-resolution numerical model for sea-ice fragmentation dynamics
title_full A large-scale high-resolution numerical model for sea-ice fragmentation dynamics
title_fullStr A large-scale high-resolution numerical model for sea-ice fragmentation dynamics
title_full_unstemmed A large-scale high-resolution numerical model for sea-ice fragmentation dynamics
title_sort large-scale high-resolution numerical model for sea-ice fragmentation dynamics
publishDate 2023
url https://doi.org/10.5194/tc-2023-97
https://tc.copernicus.org/preprints/tc-2023-97/
genre Sea ice
genre_facet Sea ice
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-2023-97
https://tc.copernicus.org/preprints/tc-2023-97/
op_doi https://doi.org/10.5194/tc-2023-97
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