Comparison of sea ice kinematics at different resolutions modeled with a grid hierarchy in the Community Earth System Model (version 1.2.1)

High-resolution sea ice modeling is becoming widely available for both operational forecasts and climate studies. In traditional Eulerian grid-based models, small-scale sea ice kinematics represent the most prominent feature of high-resolution simulations, and with rheology models such as viscous–pl...

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Published in:Geoscientific Model Development
Main Authors: S. Xu, J. Ma, L. Zhou, Y. Zhang, J. Liu, B. Wang
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2021
Subjects:
Online Access:https://doi.org/10.5194/gmd-14-603-2021
https://doaj.org/article/887b43a8b11644528dfa67a12e9079e8
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spelling ftdoajarticles:oai:doaj.org/article:887b43a8b11644528dfa67a12e9079e8 2023-05-15T14:28:58+02:00 Comparison of sea ice kinematics at different resolutions modeled with a grid hierarchy in the Community Earth System Model (version 1.2.1) S. Xu J. Ma L. Zhou Y. Zhang J. Liu B. Wang 2021-01-01T00:00:00Z https://doi.org/10.5194/gmd-14-603-2021 https://doaj.org/article/887b43a8b11644528dfa67a12e9079e8 EN eng Copernicus Publications https://gmd.copernicus.org/articles/14/603/2021/gmd-14-603-2021.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-14-603-2021 1991-959X 1991-9603 https://doaj.org/article/887b43a8b11644528dfa67a12e9079e8 Geoscientific Model Development, Vol 14, Pp 603-628 (2021) Geology QE1-996.5 article 2021 ftdoajarticles https://doi.org/10.5194/gmd-14-603-2021 2022-12-31T10:32:17Z High-resolution sea ice modeling is becoming widely available for both operational forecasts and climate studies. In traditional Eulerian grid-based models, small-scale sea ice kinematics represent the most prominent feature of high-resolution simulations, and with rheology models such as viscous–plastic (VP) and Maxwell elasto-brittle (MEB), sea ice models are able to reproduce multi-fractal sea ice deformation and linear kinematic features that are seen in high-resolution observational datasets. In this study, we carry out modeling of sea ice with multiple grid resolutions by using the Community Earth System Model (CESM) and a grid hierarchy (22, 7.3, and 2.4 km grid stepping in the Arctic). By using atmospherically forced experiments, we simulate consistent sea ice climatology across the three resolutions. Furthermore, the model reproduces reasonable sea ice kinematics, including multi-fractal spatial scaling of sea ice deformation that partially depends on atmospheric circulation patterns and forcings. By using high-resolution runs as references, we evaluate the model's effective resolution with respect to the statistics of sea ice kinematics. Specifically, we find the spatial scale at which the probability density function (PDF) of the scaled sea ice deformation rate of low-resolution runs matches that of high-resolution runs. This critical scale is treated as the effective resolution of the coarse-resolution grid, which is estimated to be about 6 to 7 times the grid's native resolution. We show that in our model, the convergence of the elastic–viscous–plastic (EVP) rheology scheme plays an important role in reproducing reasonable kinematics statistics and, more strikingly, simulates systematically thinner sea ice than the standard, non-convergent experiments in landfast ice regions of the Canadian Arctic Archipelago. Given the wide adoption of EVP and subcycling settings in current models, it highlights the importance of EVP convergence, especially for climate studies and projections. The new grids and the ... Article in Journal/Newspaper Arctic Archipelago Arctic Canadian Arctic Archipelago Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Canadian Arctic Archipelago Geoscientific Model Development 14 1 603 628
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Geology
QE1-996.5
spellingShingle Geology
QE1-996.5
S. Xu
J. Ma
L. Zhou
Y. Zhang
J. Liu
B. Wang
Comparison of sea ice kinematics at different resolutions modeled with a grid hierarchy in the Community Earth System Model (version 1.2.1)
topic_facet Geology
QE1-996.5
description High-resolution sea ice modeling is becoming widely available for both operational forecasts and climate studies. In traditional Eulerian grid-based models, small-scale sea ice kinematics represent the most prominent feature of high-resolution simulations, and with rheology models such as viscous–plastic (VP) and Maxwell elasto-brittle (MEB), sea ice models are able to reproduce multi-fractal sea ice deformation and linear kinematic features that are seen in high-resolution observational datasets. In this study, we carry out modeling of sea ice with multiple grid resolutions by using the Community Earth System Model (CESM) and a grid hierarchy (22, 7.3, and 2.4 km grid stepping in the Arctic). By using atmospherically forced experiments, we simulate consistent sea ice climatology across the three resolutions. Furthermore, the model reproduces reasonable sea ice kinematics, including multi-fractal spatial scaling of sea ice deformation that partially depends on atmospheric circulation patterns and forcings. By using high-resolution runs as references, we evaluate the model's effective resolution with respect to the statistics of sea ice kinematics. Specifically, we find the spatial scale at which the probability density function (PDF) of the scaled sea ice deformation rate of low-resolution runs matches that of high-resolution runs. This critical scale is treated as the effective resolution of the coarse-resolution grid, which is estimated to be about 6 to 7 times the grid's native resolution. We show that in our model, the convergence of the elastic–viscous–plastic (EVP) rheology scheme plays an important role in reproducing reasonable kinematics statistics and, more strikingly, simulates systematically thinner sea ice than the standard, non-convergent experiments in landfast ice regions of the Canadian Arctic Archipelago. Given the wide adoption of EVP and subcycling settings in current models, it highlights the importance of EVP convergence, especially for climate studies and projections. The new grids and the ...
format Article in Journal/Newspaper
author S. Xu
J. Ma
L. Zhou
Y. Zhang
J. Liu
B. Wang
author_facet S. Xu
J. Ma
L. Zhou
Y. Zhang
J. Liu
B. Wang
author_sort S. Xu
title Comparison of sea ice kinematics at different resolutions modeled with a grid hierarchy in the Community Earth System Model (version 1.2.1)
title_short Comparison of sea ice kinematics at different resolutions modeled with a grid hierarchy in the Community Earth System Model (version 1.2.1)
title_full Comparison of sea ice kinematics at different resolutions modeled with a grid hierarchy in the Community Earth System Model (version 1.2.1)
title_fullStr Comparison of sea ice kinematics at different resolutions modeled with a grid hierarchy in the Community Earth System Model (version 1.2.1)
title_full_unstemmed Comparison of sea ice kinematics at different resolutions modeled with a grid hierarchy in the Community Earth System Model (version 1.2.1)
title_sort comparison of sea ice kinematics at different resolutions modeled with a grid hierarchy in the community earth system model (version 1.2.1)
publisher Copernicus Publications
publishDate 2021
url https://doi.org/10.5194/gmd-14-603-2021
https://doaj.org/article/887b43a8b11644528dfa67a12e9079e8
geographic Arctic
Canadian Arctic Archipelago
geographic_facet Arctic
Canadian Arctic Archipelago
genre Arctic Archipelago
Arctic
Canadian Arctic Archipelago
Sea ice
genre_facet Arctic Archipelago
Arctic
Canadian Arctic Archipelago
Sea ice
op_source Geoscientific Model Development, Vol 14, Pp 603-628 (2021)
op_relation https://gmd.copernicus.org/articles/14/603/2021/gmd-14-603-2021.pdf
https://doaj.org/toc/1991-959X
https://doaj.org/toc/1991-9603
doi:10.5194/gmd-14-603-2021
1991-959X
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https://doaj.org/article/887b43a8b11644528dfa67a12e9079e8
op_doi https://doi.org/10.5194/gmd-14-603-2021
container_title Geoscientific Model Development
container_volume 14
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container_start_page 603
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